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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Autores principales: Vasileiou Angelos S., Anyfantis Konstantinos N.
Formato: article
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FR
Publicado: EDP Sciences 2021
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Acceso en línea:https://doaj.org/article/49b5dad09cb346dfbb0ffde53099d3c9
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spelling 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)
institution DOAJ
collection DOAJ
language EN
FR
topic Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle 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
description 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
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