Search results for: GLOBAL SENSITIVITY ANALYSIS - Bridge of Knowledge

Search

Search results for: GLOBAL SENSITIVITY ANALYSIS

Best results in : Research Potential Pokaż wszystkie wyniki (110)

Search results for: GLOBAL SENSITIVITY ANALYSIS

Best results in : Business Offer Pokaż wszystkie wyniki (46)

Search results for: GLOBAL SENSITIVITY ANALYSIS

Other results Pokaż wszystkie wyniki (10240)

Search results for: GLOBAL SENSITIVITY ANALYSIS

  • Neural Network-Based Sequential Global Sensitivity Analysis Algorithm

    Publication

    - Year 2022

    Performing global sensitivity analysis (GSA) can be challenging due to the combined effect of the high computational cost, but it is also essential for engineering decision making. To reduce this cost, surrogate modeling such as neural networks (NNs) are used to replace the expensive simulation model in the GSA process, which introduces the additional challenge of finding the minimum number of training data samples required to...

    Full text to download in external service

  • Global sensitivity analysis of membrane model of abdominal wall with surgical mesh

    Publication

    - Year 2018

    The paper addresses the issue of ventral hernia repair. Finite Element simulations can be helpful in the optimization of hernia parameters. A membrane abdominal wall model is proposed in two variants: a healthy one and including hernia defect repaired by implant. The models include many uncertainties, e.g. due to variability of abdominal wall, intraabdominal pressure value etc. Measuring mechanical properties with high accuracy...

    Full text available to download

  • Iterative Global Sensitivity Analysis Algorithm with Neural Network Surrogate Modeling

    Publication

    - Year 2021

    Global sensitivity analysis (GSA) is a method to quantify the effect of the input parameters on outputs of physics-based systems. Performing GSA can be challenging due to the combined effect of the high computational cost of each individual physics-based model, a large number of input parameters, and the need to perform repetitive model evaluations. To reduce this cost, neural networks (NNs) are used to replace the expensive physics-based...

    Full text to download in external service

  • An annotated timeline of sensitivity analysis

    Publication
    • M. Kuc-Czarnecka
    • S. Tarantolo
    • F. Ferretti
    • S. Lo Piano
    • M. Kozlova
    • A. Lachi
    • R. Rosati
    • A. Puy,
    • P. Roy
    • G. Vannucci
    • A. Saltelli,

    - ENVIRONMENTAL MODELLING & SOFTWARE - Year 2024

    The last half a century has seen spectacular progresses in computing and modelling in a variety of fields, applications, and methodologies. Over the same period, a cross-disciplinary field known as sensitivity analysis has been making its first steps, evolving from the design of experiments for laboratory or field studies, also called ‘in-vivo’, to the so-called experiments ‘in-silico’. Some disciplines were quick to realize the...

    Full text available to download

  • Sensitivity analysis of a composite footbridge

    Publication

    - Year 2014

    This work include an example of sensitivity analysis for the design of a composite footbridge. A sandwich structure is used, consisting two high-strength skins separated by a core material. The analysis was conducted for two numerical models. The first one is a simple, single-span beam of a composite cross-section (laminate and foam), with different Young’s modulus for each material. Calculations were made by means of a MATLAB-based...