Numerical Simulation of Some Steel Structural Elements with Uncertain Initial Porosity
The main research purpose of this work was to study the elasto-plastic responses of some fundamental steel structural elements exhibiting stochastic volumetric microvoids. The constitutive model of the steel material was consistent with the deterministic Gurson–Tvergaard–Needleman (GTN) porous plast...
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doaj-cc49eff4930043548fb9ae57f53782782021-04-23T23:04:48ZengMDPI AGMetals2075-47012021-04-011168968910.3390/met11050689Numerical Simulation of Some Steel Structural Elements with Uncertain Initial PorosityMarcin Kamiński0Michał Strąkowski1Department of Structural Mechanics, Faculty of Civil Engineering, Architecture and Environmental Engineering, Łódź University of Technology, 90-924 Łódź, PolandDepartment of Structural Mechanics, Faculty of Civil Engineering, Architecture and Environmental Engineering, Łódź University of Technology, 90-924 Łódź, PolandThe main research purpose of this work was to study the elasto-plastic responses of some fundamental steel structural elements exhibiting stochastic volumetric microvoids. The constitutive model of the steel material was consistent with the deterministic Gurson–Tvergaard–Needleman (GTN) porous plasticity model, where some of the microvoids parameters have additionally been defined as Gaussian random variables. The iterative stochastic finite element method implemented based on the-tenth order stochastic perturbation technique was utilized in numerical experiments. An interoperability of the computer algebra system MAPLE 2019 and the finite element method system ABAQUS was employed to study the influence of the initial microvoids f<sub>0</sub> with uncertainty in the structural steel on the statistical scattering of the resulting stresses and deformations. The basic probabilistic characteristics of the structural response were computed and contrasted with statistical estimators inherent in the Monte–Carlo simulation and also with the results obtained from the semi-analytical probabilistic method. Reliability indices according to the first-order reliability method (FORM) were also calculated. Two numerical illustrations included the (<i>i</i>) tension test of the round cylindrical steel rebar and the (<i>ii</i>) bending test of the steel I-beam restrained at both its ends. Expectations and coefficients of variation of the structural responses confirmed here the importance of the microvoids for the stochastic elasto-plastic behavior of some basic engineering structures, where tensile stress plays an important role in designing procedures.https://www.mdpi.com/2075-4701/11/5/689stochastic finite element methodsteel microdefectsGurson–Tvergaard–Needleman modelporous plasticitystochastic perturbation techniqueMonte–Carlo simulation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marcin Kamiński Michał Strąkowski |
spellingShingle |
Marcin Kamiński Michał Strąkowski Numerical Simulation of Some Steel Structural Elements with Uncertain Initial Porosity Metals stochastic finite element method steel microdefects Gurson–Tvergaard–Needleman model porous plasticity stochastic perturbation technique Monte–Carlo simulation |
author_facet |
Marcin Kamiński Michał Strąkowski |
author_sort |
Marcin Kamiński |
title |
Numerical Simulation of Some Steel Structural Elements with Uncertain Initial Porosity |
title_short |
Numerical Simulation of Some Steel Structural Elements with Uncertain Initial Porosity |
title_full |
Numerical Simulation of Some Steel Structural Elements with Uncertain Initial Porosity |
title_fullStr |
Numerical Simulation of Some Steel Structural Elements with Uncertain Initial Porosity |
title_full_unstemmed |
Numerical Simulation of Some Steel Structural Elements with Uncertain Initial Porosity |
title_sort |
numerical simulation of some steel structural elements with uncertain initial porosity |
publisher |
MDPI AG |
series |
Metals |
issn |
2075-4701 |
publishDate |
2021-04-01 |
description |
The main research purpose of this work was to study the elasto-plastic responses of some fundamental steel structural elements exhibiting stochastic volumetric microvoids. The constitutive model of the steel material was consistent with the deterministic Gurson–Tvergaard–Needleman (GTN) porous plasticity model, where some of the microvoids parameters have additionally been defined as Gaussian random variables. The iterative stochastic finite element method implemented based on the-tenth order stochastic perturbation technique was utilized in numerical experiments. An interoperability of the computer algebra system MAPLE 2019 and the finite element method system ABAQUS was employed to study the influence of the initial microvoids f<sub>0</sub> with uncertainty in the structural steel on the statistical scattering of the resulting stresses and deformations. The basic probabilistic characteristics of the structural response were computed and contrasted with statistical estimators inherent in the Monte–Carlo simulation and also with the results obtained from the semi-analytical probabilistic method. Reliability indices according to the first-order reliability method (FORM) were also calculated. Two numerical illustrations included the (<i>i</i>) tension test of the round cylindrical steel rebar and the (<i>ii</i>) bending test of the steel I-beam restrained at both its ends. Expectations and coefficients of variation of the structural responses confirmed here the importance of the microvoids for the stochastic elasto-plastic behavior of some basic engineering structures, where tensile stress plays an important role in designing procedures. |
topic |
stochastic finite element method steel microdefects Gurson–Tvergaard–Needleman model porous plasticity stochastic perturbation technique Monte–Carlo simulation |
url |
https://www.mdpi.com/2075-4701/11/5/689 |
work_keys_str_mv |
AT marcinkaminski numericalsimulationofsomesteelstructuralelementswithuncertaininitialporosity AT michałstrakowski numericalsimulationofsomesteelstructuralelementswithuncertaininitialporosity |
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1721512102569443328 |