Litcius/Paper detail

Concurrent topology optimization for thermoelastic structures with random and interval hybrid uncertainties

Jing Zheng, Shaonan Ding, Chao Jiang, Zhonghua Wang

2021International Journal for Numerical Methods in Engineering24 citationsDOI

Abstract

Abstract A concurrent topology optimization for thermoelastic structures with random and interval hybrid uncertainties is discussed in this work. A robust topology optimization method is proposed for structures composed of periodic microstructures under thermal and mechanical coupled loads. The robust objective function is defined as a linear combination of the mean and standard variance under the worst case for the robust optimization model. An efficient hybrid orthogonal polynomial expansion (HOPE) method is developed to evaluate the robust objective function. The sensitivities for the robust topology optimization are then calculated based on the uncertainty analysis. Three numerical examples are provided to verify the effectiveness of the proposed method, and the Monte Carlo scanning test is used to validate the numerical accuracy of our proposed method. For comparison purpose, the topology optimizations under deterministic assumptions are also provided for these examples to show the importance of considering hybrid uncertainties.

Topics & Concepts

Topology optimizationThermoelastic dampingMonte Carlo methodTopology (electrical circuits)Mathematical optimizationInterval (graph theory)Function (biology)MathematicsComputer scienceFinite element methodThermalStructural engineeringEngineeringPhysicsEvolutionary biologyBiologyCombinatoricsStatisticsMeteorologyTopology Optimization in EngineeringComposite Structure Analysis and OptimizationProbabilistic and Robust Engineering Design