ISSN:
eISSN:
Disciplines
(Field of Science):
- ethnology and cultural anthropology (Humanities)
- architecture and urban planning (Engineering and Technology)
- civil engineering, geodesy and transport (Engineering and Technology)
- environmental engineering, mining and energy (Engineering and Technology)
- agriculture and horticulture (Agricultural sciences)
- biotechnology (Natural sciences)
(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 70 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 70 | Ministry scored journals list 2024 |
2023 | 70 | Ministry Scored Journals List |
2022 | 70 | Ministry Scored Journals List 2019-2022 |
2021 | 70 | Ministry Scored Journals List 2019-2022 |
2020 | 70 | Ministry Scored Journals List 2019-2022 |
2019 | 70 | Ministry Scored Journals List 2019-2022 |
Model:
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 3.7 |
Year | Points |
---|---|
2023 | 3.7 |
2022 | 3.4 |
2021 | 2.9 |
2020 | 2.3 |
2019 | 2 |
2018 | 2 |
2017 | 1.8 |
2016 | 1.7 |
2015 | 1.9 |
2014 | 1.5 |
2013 | 1.3 |
2012 | 0.8 |
2011 | 1.2 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 3
Catalog Journals
Year 2022
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Effectiveness of Random Field Approach in Serviceability Limit State Analysis of Strip Foundation
PublicationThis work conducts a probabilistic inquiry on how the variability of the parameter defining soil deformability affects the settlement of the foundation located on the soil. The analysis addresses the random foundation model to relevantly estimate the probability of allowable deflection exceedance. The constitutive model parameter is based either on a single random variable or a random field. The computations incorporate direct...
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Effectiveness of Random Field Approach in Serviceability Limit State Analysis of Strip Foundation
Publication
Year 2020
-
Reliability-Based Stability Analysis of a Baltic Cliff by the Combined Response Surface Method
PublicationA simple, straightforward computational procedure was proposed, incorporating the Response Surface Method (RSM) linked with the standard Monte Carlo (MC) simulation method and the Point Estimate Method (PEM). PEM samples make it possible to analyse the sensitivity of the cliff’s stability to variation in subsoil parameters and to reduce the number of random variables of the problem. The proposed methods were tested in two cases:...
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