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Search results for: MONTE CARLO SIMULATIONS
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A material model of asphalt mixtures based on Monte Carlo simulations
PublicationThe paper aims to numerically reflect mineral-asphalt mixture structure by a standard FEM software. Laboratory test results are presented due to bending tests of circular notched elements. The result scatter is relatively high. An attempt was made to form a random aggregate distribution in order to obtain various results corresponding to laboratory tests. The material structure calibration, its homogenization and finite element...
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Growth of polymer brushes by “grafting from” via ATRP – Monte Carlo simulations
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Förster Resonance Energy Transfer and Trapping in Selected Systems: Analysis by Monte-Carlo Simulations
PublicationMetoda symulacji Monte Carlo została opisana i zastosowana jako efektywne narzędzie do analizy wyników pomiarów transferu energii w wybranych układach, dla których zastosowanie podejścia analitycznego jest ograniczone lub nawet niemożliwe. Pokazano, że symulacja Monte Carlo pozwala obliczyć tzw. czynnik orientacyjny dla układów częściowo uporządkowanych oraz szereg innych wielkości ważnych do opisu zjawiska transferu energii, które...
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Monte Carlo simulations of the fracture resistance degradation of asphalt concrete subjected to environmental factors
PublicationThe paper presents the results of laboratory tests of SCB (semi-circular beam) samples of asphalt concrete, subjected to the destructive effect of water and frost as well as the aging processes. The determined values of material parameters show significant dispersions, which makes the design of mixtures difficult. Statistical analysis of the test results supplemented by computer simulations made with the use of the proprietary...
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Diffusive properties of solvent molecules in the neighborhood of a polymer chain as seen by Monte-Carlo simulations
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Measurements of glucose content in scattering media with time-of-flight technique: comparison with Monte Carlo simulations.
PublicationZbadano możliwości pomiaru koncentracji glukozy w materiale silnie rozpraszającym światło z wykorzystaniem techniki czasu przelotu. Badania przeprowadzono wykorzystując ''Intralipid'' będącym fantomem tkanki. Stężenie glukozy wynosiło 100, 200, 300, 500, 1000, 2000,4000 lub 8000 mg/dl. Wyniki pomiarów porównano z wynikami uzyskanymi na drodze modelowania matematycznego.
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Monte Carlo simulations
e-Learning CoursesVirtual platform for the project "Monte Carlo simulations of energetic electrons and positrons in condensed matter".
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The Role of Molecular Structure in Monte Carlo Simulations of the Secondary Electron Yield and Backscattering Coefficient from Methacrylic Acid
PublicationIn this paper, we show the influence of the chemical structure of four different conformers on the secondary electron emission and backscattering of an electron beam from a gel of methacrylic acid. The conformers have different permanent dipole moments, which determines the cross sections for elastic collisions with electrons. The cross sections are used in Monte Carlo simulations of an electron beam, which enters the gel of methacrylic...
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Hybrid Monte-Carlo simulations of fluorescence anisotropy decay in disordered two-component systems in the presence of forward and back energy transfer
PublicationW pracy przedstawiono hybrydowy algorytm symulacji Monte Carlo zaniku anizotropii emisji fluorescencji w układach dwuskładnikowych z uwzględnieniem prostego i powrotnego transferu energii. Poprawność nowego algorytmu symulacji Monte Carlo zweryfikowano poprzez porównanie z wynikami obliczeń teoretycznych otrzymanymi w ramach modelu SCDM i z wynikami standardowej symulacji Monte Carlo (algorytm 'step by step').
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Hybrid Monte-Carlo simulations of fluorescence anisotropy decayin three-component donor-mediator-acceptor systems in the presenceof energy transfer
PublicationW pracy przedstawiono nowy hybrydowy algorytm symulacji Monte-Carlo układu trójskładnikowego donor-mediator-akceptor. Działanie algorytmu zilustrowano na przykładzie zaników anizotropii emisji fluorescencji powyższego układu. Porównano wyniki hybrydowej symulacji Monte-Carlo z wynikami klasycznej metody ''step by step''. Stwierdzono bardzo dobrą zgodność wyników obu symulacji, przy czym algorytm hybrydowy wymaga znacznie krótszego...
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Convergence of Monte Carlo algorithm for solving integral equations in light scattering simulations
PublicationThe light scattering process can be modeled mathematically using the Fredholm integral equation. This equation is usually solved after its discretization and transformation into the system of algebraic equations. Volume integral equations can be also solved without discretization using the Monte Carlo (MC) algorithm, but its application to the light scattering simulations has not been sufficiently studied. Here we present implementation...
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Application of the Monte Carlo algorithm for solving volume integral equation in light scattering simulations
PublicationVarious numerical methods were proposed for analysis of the light scattering phenomenon. Important group of these methods is based on solving the volume integral equation describing the light scattering process. The popular method from this group is the discrete dipole approximation (DDA). DDA uses various numerical algorithms to solve the discretized integral equation. In the recent years, the application of the Monte Carlo (MC)...
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Monte Carlo Methods and Applications
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Optymalizacja kosztów wytwarzania Kwm metodą Monte Carlo.
PublicationDokładność wykonania koordynacyjnych wymiarów montażowych (KWM) konstrukcji prętowej może stanowić kryterium optymalizacji kosztów wytwarzania konstrukcji stalowej. Niniejsza praca dotyczy optymalizacji tolerancji KWM metodą Monte Carlo.
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A Monte Carlo Strategy to simulate Positrons and Positronium in biological Materials
PublicationWe present an algorithm for Monte Carlo simulations of positron tracks in biological materials. The algorithm takes into account the cross-section data for elastic and inelastic collisions between positrons and molecules and processes like direct annihilation, ionization and positronium formation. In the case of positronium formation, the algorithm considers the interactions of positronium with molecules. The algorithm can be used...
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Wrażliwość probabilistyczna stanów granicznych konstrukcji - metoda Monte Carlo
PublicationPraca ukazuje zastosowanie metody symulacyjnej Monte Carlo w analizie losowej konstrukcji inżynierskich. Systematyka metod losowych obejmuje ich trzy poziomy, z zaznaczeniem poziomu trzeciego, o dowolnych typach zmiennych losowych – zmiennych podstawowych problemu. Ukazano przykład modelowana losowego obciążenia wiatrem na podstawie 10-letnich pomiarów prędkości wiatru, wykazując zgodność zbioru danych z rozkładem ekstremów Gumbela....
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Szacowanie niepewności pomiaru temperatury skóry metodą Monte Carlo
PublicationW Katedrze Metrologii i Systemów Informacyjnych opracowano bezinwazyjną metodę pomiaru temperatury wybranych punktów ciała człowieka podczas próby wysiłkowej. Ze względu na wymaganą dokładność pomiarów wykorzystano do pomiaru metodę kontaktową. Jednocześnie, na podstawie wyników wcześniejszych pomiarów dynamiki zmian temperatury skóry podczas testu wysiłkowego zdecydowano się na zastosowanie jako czujnika - termoelementu. W referacie...
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Monte Carlo simulation of energy migration in uniaxially oriented polymerfilms.
PublicationOpisano zastosowanie metody Monte Carlo do symulowania (komputerowego) procesów fotofizycznych zachodzących w rozciąganych osiowo foliach polimerowych zawierających molekuły barwnika. Przedstawiono zaniki czasowe anizotropii emisji oraz jej zależność od koncentracji barwnika. Zbadano wpływ migracji energii na przebiegi anizotropii emisji badanego układu.
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Probabilistic sensitivity of limit states of structures. The Monte Carlo simulation
PublicationPraca zawiera koncepcję badania wrażliwości stanów granicznych konstrukcji na zmiany poszczególnych zmiennych podstawowych, w oparciu o procedurę symulacyjną Monte Carlo. Sformułowanie ogólne metody oparte jest na analizie stanów granicznych konstrukcji, wprowadzona metoda losowa umożliwia badania histogramu stanu granicznego oraz estymację niezawodności / prawdopodobieństwa awarii konstrukcji.
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Probabilistic sensitivity of limit states of structures : The Monte Carlo simulation
PublicationThe main issue of the paper is the probabilistic sensitivity of the limit states of structures with respect to selected input design variables. Attempt to the problem is done by the dedicated Monte Carlo simulation procedure. Basic design variables are random variables of given probability distributions, presented in the form of random numbers. Uni-parametrical increment of the dominant basic variable (basic variables) is done,...
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Probabilistic sensitivity of limit states of structures. The Monte Carlo simulation
PublicationDesign sensitivity deals with the variation of structural response, implicitly dependent on the design variables of the problem. An attempt is made to implement probabilistic notation in engineering sensitivity analysis. The procedure to implement the sensitivity of a structural limit state to a given basic variable is described in the paper - its main idea, depicted by a flowchart and numerical examples of engineering analysis....
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Long-Distance FRET Analysis: A Monte Carlo Simulation Study
PublicationZaproponowano nową metodę na rozszerzenie zakresu stosowalności rezonansowego transferu energii (FRET) przetestowaną przy pomocy metody Monte Carlo. Otrzymane rezultaty dowodzą, że wydajność procesu FRET może być znacząco zwiększona w porównaniu z wydajnością pojedynczego akceptora, gdy dla ustalonej od donora umieścimy układ blisko siebie położonych akceptorów na makromolekule. Z drugiej strony metoda ta umożliwia zwiększenie...
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Carbon Nanohorns as Reaction Nanochambers – a Systematic Monte Carlo Study
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Probabilistic limit state analysis of framed structures. The Monte Carlo simulation.
PublicationW pracy opisano koncepcję rozkładu prawdopodobieństwa stanu granicznego konstrukcji. Koncepcja ta oparta jest na problemowo zorientowanej procedurze symulacyjnej Monte Carlo. Niezawodnosć lub prawdopodobieństwo awarii układu oblicza się na podstawie rozkładu prawdopodobieństwa stanu granicznego.
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Analiza systemu zasilania trolejbusów z wykorzystaniem metody Monte Carlo
PublicationW rozprawie przedstawiono model symulacyjny układu zasilania sieci trolejbusowej oparty na metodzie Monte Carlo. Przeprowadzono eksperymentalną weryfikację opracowanej metody obliczeniowej. Zaprezentowano przykładowe zastosowanie modelu symulacyjnego. Opracowana metoda może być wykorzystana dla celów analizy układów zasilania trakcji trolejbusowej i tramwajowej.
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Probabilistic limit state analysis of framed structures. The Monte Carlo simulation.
PublicationW pracy opisana jest koncepcja rozkładu prawdopodobieństwa stanu granicznego konstrukcji, oparta na specjalnej procedurze symulacyjnej Monte Carlo. Główną ideę stanowi obliczenie mnożnika obciażenia granicznego w każdym kroku symulacyjnym. Niezawodnosć lub prawdopodobieństwo awarii konstrukcji sa charakterystykami rozkładu prawdopopdobieństwa stanu granicznego. Szczegółowo opisano dwa warianty symulacji.
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Probability of limit state of bar structures. A modified Monte Carlo procedure
PublicationPraca poświecona jest zagadnieniom niezawodności i probabilistycznej analizie stanów granicznych układów prętowych. Główną ideę pracy stanowi rozkład prawdopodobieństwa stanu granicznego nośności ustroju, zdefiniowany na podstawie specjalnej procedury symulacyjnej Monte Carlo. W procedurze tej istotne jest wyznaczanie mnożników obciążenia granicznego w każdym kroku symulacyjnym. Charakterystykami rozkładu prawdopodobieństwa stanu...
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Monte-Carlo Modeling of Optical Sensors for Postoperative Free Flap Monitoring
PublicationThis work aims to develop a numerical tissue model and implement software to simulate photon propagation using the Monte Carlo method to determine design guidelines for a physical measurement system. C++ was used for the simulation program, and Python as a programming environment to create an interface that allows the user to customize individual simulation elements, allowing for increased accuracy and flexibility when simulating...
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Monte-Carlo Modeling of Optical Sensors for Postoperative Free Flap Monitoring
PublicationThis work aims to develop a numerical tissue model and implement software to simulate photon propagation using the Monte Carlo method to determine design guidelines for a physical measurement system. C++ was used for the simulation program, and Python as a programming environment to create an interface that allows the user to customize individual simulation elements, allowing for increased accuracy and flexibility when simulating...
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Coherent-wave Monte Carlo method for simulating light propagation in tissue
PublicationSimulating propagation and scattering of coherent light in turbid media, such as biological tissues, is a complex problem. Numerical methods for solving Helmholtz or wave equation (e.g. finite-difference or finite-element methods) require large amount of computer memory and long computation time. This makes them impractical for simulating laser beam propagation into deep layers of tissue. Other group of methods, based on radiative...
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Conformation-family Monte Carlo: A new method for crystal structure prediction
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Advanced Monte Carlo simulator of the polarization-sensitive optical coherence tomography systems
PublicationSimulations of the optical coherence tomography (OCT) systems using the Monte Carlo method is a widely explored research area. However, there are several difficulties that need to be overcome in order to properly model the OCT imaging with the Monte Carlo algorithm. First of all, the temporal and the spatial coherence of the scattered light need to be considered, since OCT is based on the interference phenomenon. For the same reason,...
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Structural reliability of overhead power lines by means of Monte Carlo Method and RSM
PublicationThe article discusses the issue of reliability assessment of overhead power lines by means of both Monte Carlo Method and Response Surface Method. The suspension tower OS24 ON150+10 is considered, as the weakest element of the line. A comparison is made between deterministic and probabilistic approaches to wind and icing loading. The PDFs for wind and icing loads are proposed. Reliability is assessed for both critical atmospheric...
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MONTE CARLO MODELING OF OPTICAL SENSOR FOR POST-OPERATIVE FREE FLAP MONITORING
PublicationAfter a preliminary study of the currently employed methods in vitality monitoring of the tissue flaps (TRAM, DIEP, SIEA), a usefulness of optical techniques is discussed. It seems that one of the most promising in monitoring tissue flaps blood flow is a near infrared spectrometry (NIRS). However, a special design of a measurement sensor has to be developed. First, basing on the literature study an optical “window” is characterized....
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Reliability assessment of truss towers using Monte Carlo Method, PEM and RSM
PublicationThe paper discusses the reliability assessment of simple random truss structures using three different probabilistic methodologies: the Monte Carlo method, the Point Estimate Method and the Response Surface Method. A benchmark truss structure example is analyzed. A set of numerical calculations of critical load is performed and the results are taken as the basis of advanced probabilistic calculations. Using the samples, numerical...
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Metoda symulacyjna Monte Carlo w analizie niezawodności przestrzennych układów ramowych
PublicationW pracy zaprezentowano koncepcję analizy probabilistycznej stanu granicznego układu prętowego, w oparciu o specjalną procedurę symulacyjną Monte Carlo. Stan graniczny zdefiniowany ze względu na obciążenia przeanalizowano na trzech przykładach: ramy płaskiej, ramy przestrzennej i istniejącej przestrzennej struktury. Przedstawiono także alternatywne sformułowanie problemu stanów granicznych, ze względu na własności materiałowe. Przeprowadzono...
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Reliability assessment of truss towers using Monte Carlo Method, PEM and RSM
PublicationThe paper discusses reliability assessment of simple random truss structures using three different probabilistic methodologies: the Monte Carlo Method (MCM), the Point Estimate Method (PEM) and the Response Surface Method (RSM). A benchmark truss structure and a simplified full–size engineering tower are both analyzed. A set of ultimate load numerical calculations is performed and the results are taken as the basis of advanced...
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Accelerated Monte Carlo method for computation of photon migration by matrix description of photon direction
PublicationPrzedstawiono metodę obliczeń dyfuzji fotonów w materiałach silnie rozpraszających, będącą modyfikacją metody Monte Carlo. Modyfikacja ta polega na zastąpieniu wektorowego opisu kierunku propagacji fotonów poprzez opis macierzowy, co pozwala na około 5% redukcję czasu obliczeń na komputerach z jednopotokowym przetwarzaniem zmiennopozycyjnym lub większą w wypadku wielopotokowego przetwarzania.
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Szacowanie niepewności funkcji przetwarzania przetwornika LEM CT -5T metodą Monte Carlo
PublicationW referacie zaprezentowano metodologię szacowania niepewności funkcji przetwarzania przetwornika prądowego, na przykładzie przetwornika LEM CT-5T, przy zastosowaniu metody opartej na Przewodniku GUM z zastosowaniem prawa propagacji niepewności oraz metody numerycznej Monte Carlo. Przedstawiono szczegółową analizę doboru rozkładu wielkości wejściowej. W przypadku metody Monte Carlo dobór rozkładu wielkości wejściowych jest bardzo...
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Szacowanie niepewności funkcji przetwarzania przetwornika LEM CT -5T metodą Monte Carlo
PublicationW referacie zaprezentowano metodologię szacowania niepewności funkcji przetwarzania przetwornika prądowego, na przykładzie przetwornika LEM CT-5T, przy zastosowaniu metody opartej na Przewodniku GUM, z zastosowaniem prawa propagacji niepewności oraz metody numerycznej Monte Carlo. Przedstawiono szczegółową analizę doboru rozkładu wielkości wejściowej. W przypadku metody Monte Carlo dobór rozkładu wielkości wejściowych jest bardzo...
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Novel approach to modeling spectral-domain optical coherence tomography with Monte Carlo method
PublicationNumerical modeling Optical Coherence Tomography (OCT) systems is needed for optical setup optimization, development of new signal processing methods and assessment of impact of different physical phenomena inside the sample on OCT signal. The Monte Carlo method has been often used for modeling Optical Coherence Tomography, as it is a well established tool for simulating light propagation in scattering media. However, in this method...
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Probabilistyczna analiza stanów granicznych układów prętowych. Zastosowanie metody symulacyjnej Monte Carlo.
PublicationW pracy przedstawiono koncepcję wyzanczania rozkładu prawdopodobieństwa stanu granicznego układu prętowego w oparciu o metodę symulacyjną Monte Carlo. Mnożnik obciążenia granicznego wyznaczany jest w każdym kroku symulacyjnym, rezultatem procesu symulacyjnego jest histogram. Niezawodność,lub prawdopodobieństwo awarii układu są charakterystykami rozkładu prawdopodobieństwa stanu granicznego. Przykąłd zamieszczony w pracy uwzględnia...
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Geminate-pair dissociation yield in systems with exponential energetic disorder — A Monte Carlo study
PublicationGeminate electron–hole recombination in systems with exponential energetic disorder is studied by Monte Carlo method. The field and temperature dependencies of geminate-pair dissociation probability are calculated. It is established that the dissociation yield of carrier pairs depends mainly on the extent of carrier thermalization, which influences the Einstein relationship. The approximate limiting temperature is given by Te =...
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Estimating the uncertainty of discharge coefficient predicted for oblique side weir using Monte Carlo method
PublicationSide weir is a hydraulic structure, which is used in irrigation systems to divert some water from main to side channel. It is installed at the entrance of the side channel to control and measure passing water into the side channel. Many studies provided side weir water surface profile and coefficient of discharge to measure water discharge diverted into the side channel. These studies dealt with different side weir shapes (rectangular,...
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The use of a two-phase Monte Carlo material model to reflect the dispersion of asphalt concrete fracture parameters
PublicationThe work covers comprehensive laboratory tests of semi-circular bending (SCB) of asphalt concrete samples. The results of two test series, including four and 32 SCB specimens, indicate a substantial scatter of force–deflection (F-d) histories. The numerical analysis is aimed to reflect the maximum breaking load and fracture energy of the samples, pointing out their random character. The original simulation-based fictitious Monte...
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Application of Monte-Carlo method to modelling influence of selected soil heterogeneity on macrodispersion of pollutants in unsaturated soil medium
PublicationThe influence of soil heterogeneity on miscible solute transport in soil is analyzed. The transport process is simulated numerically using the Monte-Carlo method. This paper shows how different types of soil heterogeneity influence the process of contaminant spreading. If independent flow paths exist in the soil, the degree of the mixing of pollutants in the outflow from the soil profile is larger. If the preferential flow paths...
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Sensitivity analysis of simple random beam models by means of Monte Carlo Methods using Variance Reductions Techniques
PublicationA probabilistic sensitivity analysis of two nonlinear bar structures is presented. The analysis is carried out on the basis of the Monte Carlo method. The imperfections of the structures and the applied loads are adapted as random variables. Based on all of the generated input variables, an output response of the system is sought. Afterwards, a coefficient responsible for the structure failure is calculated and the limit state...
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Sano-Tachiya-Noolandi-Hong, Onsager and Braun models vs Monte Carlo simulation of charge photogeneration in organic solids
PublicationThe Sano-Tachiya-Noolandi-Hong (STNH), Onsager, and Braun models as well as Monte Carlo (MC) simulations of charge recombination/separation have been applied for the first time to reproduce the results of the electromodulated photoluminescence measurements in vacuum-evaporated films of fluorescent materials commonly used in optoelectronic devices. The values of the electron-hole pair final recombination speed in the monomer emitters:...
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Protein structure prediction with the UNRES force-field using Replica-Exchange Monte Carlo-with-Minimization; Comparison with MCM, CSA, and CFMC
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Impact of cross-section centers estimation on the accuracy of the Point cloud spatial expansion using robust M-estimation and Monte Carlo simulation
PublicationThe point cloud spatial expansion (PCSE) method creates an alternative form of representing the shape of symmetrical objects and introduces additional descriptive geometric parameters. An important element of the procedure is determining the course of the axis of symmetry of cylindrical objects based on cross-sections of point clouds. Outliers occurring in laser measurements are of great importance in this case. In this study,...
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Analysis of measurement uncertainty for contact-less method used to measure the position of catenary contact wire, performed with the use of Monte Carlo method
PublicationCurrently the majority of main railway lines in Europe are electrified, and electric trains have the biggest share in the entire amount of rail transport. Reliability of electrified railways is closely related to the issue of supplying traction vehicles with energy. The problems connected with diagnostics of energy consumption node, namely the contact line and the current collector, are therefore of fundamental importance for maintaining...
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Impact of cross-section centers estimation on the accuracy of the point cloud spatial expansion using robust M-estimation and Monte Carlo simulation
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New aspects in assessment of changes in width of subarachnoid space with near-infrared transillumination/backscattering sounding, part 1: Monte Carlo numerical modeling
PublicationW pracy wykorzystano zmodyfikowaną metodę Monte Carlo do numerycznego modelowania propagacji promieniowania z zakresu bliskiej podczerwieni w warstwach anatomicznych głowy. Badano efekt zmian szerokości warstwy podpajęczynówkowej pod wpływem tętna na natężenie promieniowania wstecznie rozpraszanego. Przeprowadzone obliczenia pokazały, że możliwe jest monitorowanie zmian tej szerokości na podstawie pomiarów transmisji promieniowania...
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SU‐E‐T‐472: Characterization of the Very High Energy Electrons, ISO ‐ 250 MeV (VHEE) Beam Generated by ALPHA‐X Laser Wakefield Accelerator Beam Line for Utilization in Monte Carlo Simulation for Biomedical Experiment Planning
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Monte Carlo Methods
e-Learning CoursesThis course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.
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Monte Carlo Methods - 2023/24
e-Learning CoursesThis course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.
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Monte Carlo method for numerical examination of coherent and partially coherent light scattering
ProjectsProject realized in Department of Metrology and Optoelectronics according to UMO-2014/15/N/ST7/04903 agreement from 2015-08-04
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Zespół Katedry Fizyki Teoretycznej i Informatyki Kwantowej
Research TeamsPrace naukowe prowadzone w Katedrze dotyczą współczesnych zagadnień fizyki teoretycznej i informatyki kwantowej. W ramach współpracy międzynarodowej stworzony został w Katedrze program komputerowy umożliwiający obliczanie relatywistycznych przejść w atomach i jonach. Jego celem jest dostarczenie danych atomowych potrzebnych do interpretacji pomiarów plazmy astrofizycznej i laboratoryjnej. Dane atomowe obejmują nie tylko siły oscylatorów...
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The generalized Suzuki model of the multipath fading channel
Open Research DataThe dataset contains the results of simulations that are part of the research on modelling the multipath fading in the communication channel. The generalized Suzuki fading envelope is generated using the Monte-Carlo simulation (MCS) in the LabVIEW programming environment.
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The Rayleigh model of the multipath fading channel
Open Research DataThe dataset contains the results of simulations that are part of the research on modelling the multipath fading in the communication channel. The Rayleigh fading envelope is generated using the Monte-Carlo simulation (MCS) in the LabVIEW programming environment.
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The α-µ model of the multipath fading channel
Open Research DataThe dataset contains the results of simulations that are part of the research on modelling the multipath fading in the communication channel. The envelope of the α-µ fading process is generated using the Monte-Carlo simulation (MCS) in the LabVIEW programming environment.
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The lognormal model of the multipath fading channel
Open Research DataThe dataset contains the results of simulations that are part of the research on modelling the multipath fading in the communication channel. The lognormal fading envelope is generated using the Monte-Carlo simulation (MCS) in the LabVIEW programming environment.
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The Weibull model of the multipath fading channel
Open Research DataThe dataset contains the results of simulations that are part of the research on modelling the multipath fading in the communication channel. The Weibull fading envelope is generated using the Monte-Carlo simulation (MCS) in the LabVIEW programming environment.
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The Suzuki model of the multipath fading channel
Open Research DataThe dataset contains the results of simulations that are part of the research on modelling the multipath fading in the communication channel. The Suzuki fading envelope is generated using the Monte-Carlo simulation (MCS) in the LabVIEW programming environment.
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Fast tolerance-aware design optimization of miniaturized microstrip couplers using variable-fidelity EM simulations and re-sponse features
PublicationManufacturing tolerances and other types of uncertainties may considerably affect operation and performance of microwave components and systems. Quantification of these effects is therefore an important part of the design process. It is even more important to obtain designs whose sensitivity to parameter deviations is reduced as much as possible. All of these require statistical analysis carried out at the level of electromagnetic...
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Kamil Andrzej Rybacki mgr inż.
PeopleBorn on 23 October 1993 in Gdańsk. In 2017, I have received the M.Sc. Degree at the Faculty of Applied Physics and Mathematics, Gdańsk University of Technology, Poland. My main fields of interest include computer simulations of molecular systems, parallel computing in application to computational physics methods and development of various simulation software. Currently, my research is focused on the development of hybrid Molecular...
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The assessment of metrological properties of segmental orifice based on simulations and experiments
PublicationSegmental orifices are often used to measure flows of heterogeneous mixtures, especially in flow meters in the power industry, for example. The orifice (with module m= 0.25) was installed in a stainless-steel pipe with internal diameter of 50 mm, placed in a hydraulic water system. The research was performed for Reynolds numbers ranging from 9,000 to 17,000. The flow characteristics of this orifice obtained based on simulation...
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Dariusz Karkosiński dr hab. inż.
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Uncertainty of the liquid mass flow measurement using the orifice plate
PublicationThe article presents an estimation of measurement uncertainty of a liquid mass flow using the orifice plate. This subject is essential because of the widespread use of this type of flow meters. Not only the quantitative estimation but also the qualitative results of those measurements are important. To achieve these results the authors of the paper propose to use the theory of uncertainty. The article shows the analysis of the...
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Simulating propagation of coherent light in random media using the Fredholm type integral equation
PublicationStudying propagation of light in random scattering materials is important for both basic and applied research. Such studies often require usage of numerical method for simulating behavior of light beams in random media. However, if such simulations require consideration of coherence properties of light, they may become a complex numerical problems. There are well established methods for simulating multiple scattering of light (e.g....
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Analysis of Agricultural and Engineering Systems using Simulation Decomposition
PublicationThis paper focuses on the analysis of agricultural and engineering processes using simulation decomposition (SD). SD is a technique that utilizes Monte Carlo simulations and distribution decomposition to visually evaluate the source and the outcome of different portions of data. Here, SD is applied to three distinct processes: a model problem, a nondestructive evaluation testing system, and an agricultural food-water energy system....
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Rapid Yield Optimization of Miniaturized Microwave Passives by Response Features and Variable-Fidelity EM Simulations
PublicationThe operation of high-frequency devices, including microwave passive components, can be impaired by fabrication tolerances but also incomplete knowledge concerning operating conditions (temperature, input power levels) and material parameters (e.g., substrate permittivity). Although the accuracy of manufacturing processes is always limited, the effects of parameter deviations can be accounted for in advance at the design phase...
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Excitation energy transfer in partly ordered polymer films differing in donor and acceptor transition moments orientation
PublicationBased on spectroscopic measurements selected properties of nonradiative Förster energy transport are studied in uniaxially stretched polyvinyl alcohol thin films for three systems differing in donor and acceptor transition moments orientation relative to the axis of stretching. In particular, donor – acceptor emission anisotropy spectra yield completely different regularities for these systems in uniaxially stretched films, whereas...
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On DoA estimation for rotating arrays using stochastic maximum likelihood approach
PublicationThe flexibility needed to construct DoA estimators that can be used with rotating arrays subject to rapid variations of the signal frequency is offered by the stochastic maximum likelihood approach. Using a combination of analytic methods and Monte Carlo simulations, we show that for low and moderate source correlations the stochastic maximum likelihood estimator that assumes noncorrelated sources has accuracy comparable to the...
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Estimation of the uncertainty of the LEM CV 3-500 transducers processing function
PublicationThe paper presents the methodology for estimating uncertainty of a voltage transducer processing function based on the example of LEM CV 3-500 transducer. The analysis was performed using the method based on the GUM Guide propagation of uncertainty law and the Monte Carlo numerical method. The article also presents a comparative analysis of the results of a voltage measurement evaluation done using the Monte Carlo simulation method,...
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The role of low-energy electrons in the charging process of LISA test masses
PublicationThe estimate of the total electron yield is fundamental for our understanding of the test-mass charging associated with cosmic rays in the Laser Interferometer Space Antenna (LISA) Pathfinder mission and in the forthcoming gravitational wave observatory LISA. To unveil the role of low energy electrons in this process owing to galactic and solar energetic particle events, in this work we study the interaction of keV and sub-keV...
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Path integrals formulations leading to propagator evaluation for coupled linear physics in large geometric models
PublicationReformulating linear physics using second kind Fredholm equations is very standard practice. One of the straightforward consequences is that the resulting integrals can be expanded (when the Neumann expansion converges) and probabilized, leading to path statistics and Monte Carlo estimations. An essential feature of these algorithms is that they also allow to estimate propagators for all types of sources, including initial conditions....
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A novel hybrid adaptive framework for support vector machine-based reliability analysis: A comparative study
PublicationThis study presents an innovative hybrid Adaptive Support Vector Machine - Monte Carlo Simulation (ASVM-MCS) framework for reliability analysis in complex engineering structures. These structures often involve highly nonlinear implicit functions, making traditional gradient-based first or second order reliability algorithms and Monte Carlo Simulation (MCS) time-consuming. The application of surrogate models has proven effective...
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Statistical analysis and robust design of circularly polarized antennas using sequential approximate optimization
PublicationIn the paper, reliable yield estimation and tolerance-aware design optimization of circular polarization (CP) antennas is discussed. We exploit auxiliary kriging interpolation models established in the vicinity of the nominal design in order to speed up the process of statistical analysis of the antenna structure at hand. Sequential approximate optimization is then applied to carry out robust design of the antenna, here, oriented...
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Guessing Intrinsic Forwarding Trustworthiness of Wireless Ad Hoc Network Nodes
PublicationA novel node misbehavior detection system called GIFTED is proposed for a multihop wireless ad hoc network (WAHN) whose nodes may selfishly refuse to forward transit packets. The system guesses the nodes’ intrinsic forwarding trustworthiness (IFT) by analyzing end-to-end path performance rather than utilizing unreliable and incentive incompatible low-layer mechanisms. It can work with occasional IFT jumps, directional antennae,...
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Efficient uncertainty quantification using sequential sampling-based neural networks
PublicationUncertainty quantification (UQ) of an engineered system involves the identification of uncertainties, modeling of the uncertainties, and the forward propagation of the uncertainties through a system analysis model. In this work, a novel surrogate-based forward propagation algorithm for UQ is proposed. The proposed algorithm is a new and unique extension of the recent efficient global optimization using neural network (NN)-based...
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Editorial for the special issue on advances in forward and inverse surrogate modeling for high-frequency design
PublicationThe design of modern‐day high‐frequency devices and circuits, including microwave/RF, antenna and photonic components, historically has relied on full‐wave electromagnetic (EM) simulation tools. Initially used for design verification, EM simulations are nowadays used in the design process itself, for example, for finding optimum values of geometry and/or material parameters of the structures of interest. In a growing number of...
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Theoretical studies of fragmentation processes of neutral and ionized furan molecule
PublicationThis PhD thesis focuses on the fragmentation mechanism of the furan molecule in the gas phase. The approach taken in this work comprised of three theoretical methodologies considering the dynamical, energetical and entropic aspects of the studied process. First, molecular dynamics simulations were performed. Next, the potential energy surfaces were explored at the DFT/B3LYP level of theory. Finally, a new statistical Microcanonical...
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Mitigating Traffic Remapping Attacks in Autonomous Multi-hop Wireless Networks
PublicationMultihop wireless networks with autonomous nodes are susceptible to selfish traffic remapping attacks (TRAs). Nodes launching TRAs leverage the underlying channel access function to receive an unduly high Quality of Service (QoS) for packet flows traversing source-to-destination routes. TRAs are easy to execute, impossible to prevent, difficult to detect, and harmful to the QoS of honest nodes. Recognizing the need for providing...
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Estimation of the amplitude of the signal for the active optical gesture sensor with sparse detectors
PublicationIn this paper we deal with the problem of precise gesture recognition for the active optical proximity sensor with sparse 8 photodiodes. We particularly focus on developing the method of estimating the real, usually not observable, maximum signal value representing maximum intensity of light reflected from an obstacle present in the front of the sensor. Different configurations of the fingers were used as an obstacle. The Monte Carlo...
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The Point Estimate Method in a Reticulated Shell Reliability Analysis
PublicationThe objective of this paper is to present an application of the point estimate method (PEM) to determine the probabilistic moments for engineering structures. Reliability analysis is illustrated by two examples: an estimation of the critical force in linear elastic buckling analysis and a reticulated shell limit load determinations. Calculations were also made using Monte Carlo method. It has been shown the practical usefulness...
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Joanna Raczek dr inż.
PeopleEmployment 2003 -- 2019: Faculty of Applied Physics and Mathematics, Gdańsk University of Technology. 2019 - present: Faculty of Electronic, Informatics and Telecominications, Gdańsk University of Technology. Education May 2007: Doctor of Philosophy in Mathematics, University of Gdańsk. Doctoral dissertation: "Paired domination and doubly domination in graphs". Supervisor: dr hab. Jerzy Topp. 2000 -- 2004 Bachelor of Science...
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Expedited Yield Optimization of Narrow- and Multi-Band Antennas Using Performance-Driven Surrogates
PublicationUncertainty quantification is an important aspect of engineering design, also pertaining to the development and performance evaluation of antenna systems. Manufacturing tolerances as well as other types of uncertainties, related to material parameters (e.g., substrate permittivity) or operating conditions (e.g., bending) may affect the antenna characteristics. In the case of narrow- or multi-band antennas, this usually leads to...
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Simulation of the number of storm overflows considering changes in precipitation dynamics and the urbanisation of the catchment area: a probabilistic approach
PublicationThis paper presents a probabilistic methodology that allows the study of the interactions between changes in rainfall dynamics and impervious areas in urban catchment on a long- and short-term basis. The proposed probabilistic model predict future storm overflows while taking into account the dynamics of changes in impervious areas and rainfall. In this model, a logistic regression method was used to simulate overflow resulting...
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Variable-fidelity response feature surrogates for accelerated statistical analysis and yield estimation of compact microwave components
PublicationAccounting for manufacturing tolerances is an essential part of a reliable microwave design process. Yet, quantification of geometry and/or material parameter uncertainties is challenging at the level of full-wave electromagnetic (EM) simulation models. This is due to inherently high cost of EM analysis and massive simulations necessary to conduct the statistical analysis. Here, a low-cost and accurate yield estimation procedure...
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Rapid multi-criterial design of microwave components with robustness analysis by means of knowledge-based surrogates
PublicationManufacturing tolerances and uncertainties concerning material parameters, e.g., operating conditions or substrate permittivity are detrimental to characteristics of microwave components. The knowledge of relations between acceptable parameter deviations (not leading to violation of design specifications) and the nominal performance (not considering uncertainties), and is therefore indispensable. This paper proposes a multi-objective...
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Excitation energy migration in uniaxially oriented polymer films.
PublicationPrzedstawiono wyniki pomiarów i symulacji Monte Carlo anizotropii emisji dla procesu bezpromienistego transportu energii w orientowanych osiowo foliach polimerowych. Badany układ stanowiły molekuły DTCI (3,3´-diethylthiacarbocyamine iodine) umieszczony w folii PVA (poliwinyl). Za przestrzenny rozkład orientacji dipoli emisji molekuł w symulacjach Monte Carlo przyjęto rozkład Tanizaki.
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Rapid tolerance‐aware design of miniaturized microwave passives by means of confined‐domain surrogates
PublicationThe effects of uncertainties, primarily manufacturing tolerances but also incomplete information about operating conditions or material parameters, can be detrimental to the performance of microwave components. Quantification of such effects is essential to ensure a meaningful evaluation of the structure, in particular, its reliability under imperfect fabrication procedures. The improvement of the circuit robustness can be achieved...
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Fluorescence anisotropy decay in the presence of multistep energy migration and back transfer in disordered two-component systems
PublicationPrzeprowadzono analizę zaniku anizotropii fluorescencji w sztywnym (lepkim) układzie dwuskładnikowym donor (Rodamina 6G)- akceptor (Rodamina B) z uwzględnieniem prostego i powrotnego transferu energii. Stwierdzono bardzo dobrą zgodność danych doświadczalnych z wynikami symulacji Monte Carlo. W pracy zaprezentowano specjalnie opracowany hybrydowy algorytm symulacji Monte Carlo anizotropii emisji, który jest bardzo wydajny w porównaniu...
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Multistep energy migration between 3,3'-diethyl-9-methylthiacarbocyanine iodide monomers in uniaxially oriented polymer films
PublicationWykonano pomiary obserwabli fluorescencyjnych dla wieloetapowego transferu energii w układzie zawierającym MDTCI (3,3'-diethyl-9-methylthiacarbocyanine iodide) w rozciąganych osiowo foliach polimerowych (PVA). Wyniki doświadczalne porównano z rezultatami symulacji Monte Carlo, stwierdzając ich bardzo dobrą zgodność. Ponadto z symulacji Monte Carlo otrzymano szereg informacji nie dających się zmierzyć doświadczalnie jak np. czas...
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Probabilistic sensitivity of the limit states of structures using Monte Carlom simulation
PublicationThe paper presents the concept of probabilistic sensitivity of structural limit states with respect to given design variables. A general idea is presented, illustrated by a simple case solved in an analytical way. More general approach is presented for the engineering structures, in this case a dedicated Monte Carlo simulation procedure is involved as part of the methodology. Illustration of the engineering case is done, by means...
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Expedited Yield-Driven Design of High-Frequency Structures by Kriging Surrogates in Confined Domains
PublicationUncertainty quantification is an important aspect of engineering design, also pertaining to the development and performance evaluation of high-frequency structures systems. Manufacturing tolerances as well as other types of uncertainties, related to material parameters (e.g., substrate permittivity) or operating conditions (e.g., bending) may affect the characteristics of antennas or microwave devices. For example, in the case...
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Optimization-Based Robustness Enhancement of Compact Microwave Component Designs with Response Feature Regression Surrogates
PublicationThe ability to evaluate the effects of fabrication tolerances and other types of uncertainties is a critical part of microwave design process. Improving the immunity of the device to parameter deviations is equally important, especially when the performance specifications are stringent and can barely be met even assuming a perfect manufacturing process. In the case of modern miniaturized microwave components of complex topologies,...
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Efektywność odzysku energii w komunikacji trolejbusowej
PublicationW artykule przedstawiono analizę różnych sposobów ograniczenia zużycia energii w komunikacji miejskiej na przykładzie trolejbusów. Obliczenia wykonano metodą Monte Carlo.
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The use of Response Surface Methodology for reliability estimation of composite engineering structures
PublicationStability loss is one of the key issues in the analysis of shells made of composite materials. This paper aims at finding the variation of the critical or limit value of the load resulting from geometric imperfections. An axially compressed 16-layer cylindrical panel model is considered. The imperfections of the panel are simulated as random fields. The parameters of these fields are used as the basic variables of the reliability...