Sensitivity analysis of a member under compression via Monte Carlo method

The present work studies the application of a probabilistic methodology in the sensitivity analysis of a steel column to identify the dominant parameters in its load capacity. Monte Carlo type simulations, in combination with the finite element method, was carried out to achieve the proposed objecti...

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Main Authors: Javier Martínez, Euro Casanova, Carlos Graciano, Octavio Andrés González-Estrada
Format: Article
Language:English
Published: Universidad Industrial de Santander 2018-06-01
Series:Revista UIS Ingenierías
Subjects:
Online Access:https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/8151
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author Javier Martínez
Euro Casanova
Carlos Graciano
Octavio Andrés González-Estrada
author_facet Javier Martínez
Euro Casanova
Carlos Graciano
Octavio Andrés González-Estrada
author_sort Javier Martínez
collection DOAJ
description The present work studies the application of a probabilistic methodology in the sensitivity analysis of a steel column to identify the dominant parameters in its load capacity. Monte Carlo type simulations, in combination with the finite element method, was carried out to achieve the proposed objective. The geometric nonlinearity in the model was considered in order to reflect large deflections and initial geometric imperfections. The results show that the sensitivity of the column to a specific input parameter depends on the slenderness ratio and, hence, the column will be more sensitive to one parameter or another depending on that relationship.
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spelling doaj.art-46d817f93cf64b7799908f4eb3fb40c82022-12-21T21:04:56ZengUniversidad Industrial de SantanderRevista UIS Ingenierías1657-45832145-84562018-06-0117210.18273/revuin.v17n2-2018016Sensitivity analysis of a member under compression via Monte Carlo methodJavier Martínez0Euro Casanova1Carlos Graciano2Octavio Andrés González-Estrada3Universidad Simón BolívarUniversidad Simón BolívarUniversidad Nacional de ColombiaUniversidad Industrial de SantanderThe present work studies the application of a probabilistic methodology in the sensitivity analysis of a steel column to identify the dominant parameters in its load capacity. Monte Carlo type simulations, in combination with the finite element method, was carried out to achieve the proposed objective. The geometric nonlinearity in the model was considered in order to reflect large deflections and initial geometric imperfections. The results show that the sensitivity of the column to a specific input parameter depends on the slenderness ratio and, hence, the column will be more sensitive to one parameter or another depending on that relationship.https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/8151Buckling loadfinite element analysisstochastic modellingmodal analysis
spellingShingle Javier Martínez
Euro Casanova
Carlos Graciano
Octavio Andrés González-Estrada
Sensitivity analysis of a member under compression via Monte Carlo method
Revista UIS Ingenierías
Buckling load
finite element analysis
stochastic modelling
modal analysis
title Sensitivity analysis of a member under compression via Monte Carlo method
title_full Sensitivity analysis of a member under compression via Monte Carlo method
title_fullStr Sensitivity analysis of a member under compression via Monte Carlo method
title_full_unstemmed Sensitivity analysis of a member under compression via Monte Carlo method
title_short Sensitivity analysis of a member under compression via Monte Carlo method
title_sort sensitivity analysis of a member under compression via monte carlo method
topic Buckling load
finite element analysis
stochastic modelling
modal analysis
url https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/8151
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AT eurocasanova sensitivityanalysisofamemberundercompressionviamontecarlomethod
AT carlosgraciano sensitivityanalysisofamemberundercompressionviamontecarlomethod
AT octavioandresgonzalezestrada sensitivityanalysisofamemberundercompressionviamontecarlomethod