Investigation of Utilizing a Secant Stiffness Matrix for 2D Nonlinear Shape Optimization and Sensitivity Analysis
In this article the general non-symmetric parametric form of the incremental secant stiffness matrix for nonlinear analysis of solids have been investigated to present a semi analytical sensitivity analysis approach for geometric nonlinear shape optimization. To approach this aim the analytical form...
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University of Tehran Press
2016-12-01
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doaj-788bcab272c545cea94635c533cdcec72020-11-25T00:04:02ZengUniversity of Tehran Press Civil Engineering Infrastructures Journal2322-20932423-66912016-12-0149234735910.7508/ceij.2016.02.01159636Investigation of Utilizing a Secant Stiffness Matrix for 2D Nonlinear Shape Optimization and Sensitivity AnalysisAsghar Vatani Oskouie0Amin Havaran1Shahid Rajaee Teacher Training UniversityFaculty of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, IranIn this article the general non-symmetric parametric form of the incremental secant stiffness matrix for nonlinear analysis of solids have been investigated to present a semi analytical sensitivity analysis approach for geometric nonlinear shape optimization. To approach this aim the analytical formulas of secant stiffness matrix are presented. The models were validated and used to perform investigating different parameters affecting the shape optimization. Numerical examples utilized for this investigating sensitivity analysis with detailed discussions presented.http://ceij.ut.ac.ir/article_59636_35e45b8f754f974122b86e43dc1f6b7c.pdfNonlinear AnalysisOptimizationPrescribed DisplacementSensitivity Analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Asghar Vatani Oskouie Amin Havaran |
spellingShingle |
Asghar Vatani Oskouie Amin Havaran Investigation of Utilizing a Secant Stiffness Matrix for 2D Nonlinear Shape Optimization and Sensitivity Analysis Civil Engineering Infrastructures Journal Nonlinear Analysis Optimization Prescribed Displacement Sensitivity Analysis |
author_facet |
Asghar Vatani Oskouie Amin Havaran |
author_sort |
Asghar Vatani Oskouie |
title |
Investigation of Utilizing a Secant Stiffness Matrix for 2D Nonlinear Shape Optimization and Sensitivity Analysis |
title_short |
Investigation of Utilizing a Secant Stiffness Matrix for 2D Nonlinear Shape Optimization and Sensitivity Analysis |
title_full |
Investigation of Utilizing a Secant Stiffness Matrix for 2D Nonlinear Shape Optimization and Sensitivity Analysis |
title_fullStr |
Investigation of Utilizing a Secant Stiffness Matrix for 2D Nonlinear Shape Optimization and Sensitivity Analysis |
title_full_unstemmed |
Investigation of Utilizing a Secant Stiffness Matrix for 2D Nonlinear Shape Optimization and Sensitivity Analysis |
title_sort |
investigation of utilizing a secant stiffness matrix for 2d nonlinear shape optimization and sensitivity analysis |
publisher |
University of Tehran Press |
series |
Civil Engineering Infrastructures Journal |
issn |
2322-2093 2423-6691 |
publishDate |
2016-12-01 |
description |
In this article the general non-symmetric parametric form of the incremental secant stiffness matrix for nonlinear analysis of solids have been investigated to present a semi analytical sensitivity analysis approach for geometric nonlinear shape optimization. To approach this aim the analytical formulas of secant stiffness matrix are presented. The models were validated and used to perform investigating different parameters affecting the shape optimization. Numerical examples utilized for this investigating sensitivity analysis with detailed discussions presented. |
topic |
Nonlinear Analysis Optimization Prescribed Displacement Sensitivity Analysis |
url |
http://ceij.ut.ac.ir/article_59636_35e45b8f754f974122b86e43dc1f6b7c.pdf |
work_keys_str_mv |
AT asgharvatanioskouie investigationofutilizingasecantstiffnessmatrixfor2dnonlinearshapeoptimizationandsensitivityanalysis AT aminhavaran investigationofutilizingasecantstiffnessmatrixfor2dnonlinearshapeoptimizationandsensitivityanalysis |
_version_ |
1725431391089328128 |