Probabilistic strength assessment through analytical modelling of pillars found in ship structures
The compressive strength of pillars found in ship structures is studied under a reliability perspective. Monte Carlo Simulations (MCS) are applied, aided by a stratified sample scheme (i.e. Latin Hypercube), to account for uncertainty within the problem’s input variables (yield stress, elastic modul...
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EDP Sciences
2021
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oai:doaj.org-article:49b5dad09cb346dfbb0ffde53099d3c92021-12-02T17:13:46ZProbabilistic strength assessment through analytical modelling of pillars found in ship structures2261-236X10.1051/matecconf/202134903007https://doaj.org/article/49b5dad09cb346dfbb0ffde53099d3c92021-01-01T00:00:00Zhttps://www.matec-conferences.org/articles/matecconf/pdf/2021/18/matecconf_iceaf2021_03007.pdfhttps://doaj.org/toc/2261-236XThe compressive strength of pillars found in ship structures is studied under a reliability perspective. Monte Carlo Simulations (MCS) are applied, aided by a stratified sample scheme (i.e. Latin Hypercube), to account for uncertainty within the problem’s input variables (yield stress, elastic modulus, initial bow imperfection). MCSs were applied for three slenderness ratio values (low, medium, high), for hollow-circular, hollow-square and “H” shape cross-sections, and multiple geometries per slenderness ratio, per cross-section. The pillar’s strength is calculated based on the Perry-Robertson formula. The probabilistic resistance per pillar was modelled by generating the probability density function that best describes the statistical nature of the sample data. In this paper we illustrate the probabilistic nature of the compression column resistance, and compare it to the deterministic resistance suggested by regulatory bodies.Vasileiou Angelos S.Anyfantis Konstantinos N.EDP SciencesarticleEngineering (General). Civil engineering (General)TA1-2040ENFRMATEC Web of Conferences, Vol 349, p 03007 (2021) |
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Engineering (General). Civil engineering (General) TA1-2040 |
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Engineering (General). Civil engineering (General) TA1-2040 Vasileiou Angelos S. Anyfantis Konstantinos N. Probabilistic strength assessment through analytical modelling of pillars found in ship structures |
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The compressive strength of pillars found in ship structures is studied under a reliability perspective. Monte Carlo Simulations (MCS) are applied, aided by a stratified sample scheme (i.e. Latin Hypercube), to account for uncertainty within the problem’s input variables (yield stress, elastic modulus, initial bow imperfection). MCSs were applied for three slenderness ratio values (low, medium, high), for hollow-circular, hollow-square and “H” shape cross-sections, and multiple geometries per slenderness ratio, per cross-section. The pillar’s strength is calculated based on the Perry-Robertson formula. The probabilistic resistance per pillar was modelled by generating the probability density function that best describes the statistical nature of the sample data. In this paper we illustrate the probabilistic nature of the compression column resistance, and compare it to the deterministic resistance suggested by regulatory bodies. |
format |
article |
author |
Vasileiou Angelos S. Anyfantis Konstantinos N. |
author_facet |
Vasileiou Angelos S. Anyfantis Konstantinos N. |
author_sort |
Vasileiou Angelos S. |
title |
Probabilistic strength assessment through analytical modelling of pillars found in ship structures |
title_short |
Probabilistic strength assessment through analytical modelling of pillars found in ship structures |
title_full |
Probabilistic strength assessment through analytical modelling of pillars found in ship structures |
title_fullStr |
Probabilistic strength assessment through analytical modelling of pillars found in ship structures |
title_full_unstemmed |
Probabilistic strength assessment through analytical modelling of pillars found in ship structures |
title_sort |
probabilistic strength assessment through analytical modelling of pillars found in ship structures |
publisher |
EDP Sciences |
publishDate |
2021 |
url |
https://doaj.org/article/49b5dad09cb346dfbb0ffde53099d3c9 |
work_keys_str_mv |
AT vasileiouangeloss probabilisticstrengthassessmentthroughanalyticalmodellingofpillarsfoundinshipstructures AT anyfantiskonstantinosn probabilisticstrengthassessmentthroughanalyticalmodellingofpillarsfoundinshipstructures |
_version_ |
1718381316346478592 |