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Variational sensitivity analysis of elastoplastic structures applied to optimal shape of specimens

Jan Liedmann, Franz‐Joseph Barthold

2020Structural and Multidisciplinary Optimization14 citationsDOIOpen Access PDF

Abstract

Abstract The aim of this paper is to improve the shape of specimens for biaxial experiments with respect to optimal stress states, characterized by the stress triaxiality. Gradient-based optimization strategies are used to achieve this goal. Thus, it is crucial to know how the stress state changes if the geometric shape of the specimen is varied. The design sensitivity analysis (DSA) of the stress triaxiality is performed using a variational approach based on an enhanced kinematic concept that offers a rigorous separation of structural and physical quantities. In the present case of elastoplastic material behavior, the deformation history has to be taken into account for the structural analysis as well as for the determination of response sensitivities. The presented method is flexible in terms of the choice of design variables. In a first step, the approach is used to identify material parameters. Thus, material parameters are chosen as design variables. Subsequently, the design parameters are chosen as geometric quantities so as to optimize the specimen shape with the aim to obtain a preferably homogeneous stress triaxiality distribution in the relevant cross section of the specimen.

Topics & Concepts

Sensitivity (control systems)Stress (linguistics)KinematicsStructural engineeringShape optimizationEngineering design processOptimal designDeformation (meteorology)Structural materialMaterials scienceComputer scienceFinite element methodApplied mathematicsMechanicsMathematicsMechanical engineeringComposite materialEngineeringPhysicsClassical mechanicsPhilosophyMachine learningLinguisticsElectronic engineeringTopology Optimization in EngineeringProbabilistic and Robust Engineering DesignComposite Structure Analysis and Optimization
Variational sensitivity analysis of elastoplastic structures applied to optimal shape of specimens | Litcius