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Topology Optimization under Uncertainty

  • Kurt Maute
Part of the CISM International Centre for Mechanical Sciences book series (CISM, volume 549)

Abstract

Considering stochastic variations in material parameters, geometry, and boundary conditions is for the majority of engineering design problems of pivotal importance, in order to obtain robust and reliable designs. While design optimization under uncertainty has matured for sizing and shape optimization over the past two decades, accounting for stochastic variations in topology optimization is still in its infancy. This lecture will introduce basic approaches to include uncertainty models and predictions into the topology optimization process.

Keywords

Topology Optimization Limit State Function First Order Reliability Method Solid Isotropic Material With Penalization Much Probable Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© CISM, Udine 2014

Authors and Affiliations

  • Kurt Maute
    • 1
  1. 1.Department of Aerospace Engineering SciencesUniversity of ColoradoBoulderUSA

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