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Material uncertainty quantification for optimized composite structures with failure criteria
Linköping University, Sweden.
Linköping University, Sweden.
RISE Research Institutes of Sweden, Material och produktion, Polymera material och kompositer.ORCID-id: 0000-0001-6559-7694
RISE Research Institutes of Sweden. Linköping University, Sweden.ORCID-id: 0000-0003-4472-1742
2023 (engelsk)Inngår i: Composite structures, ISSN 0263-8223, E-ISSN 1879-1085, Vol. 305, artikkel-id 116409Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

We propose a method to analyze effects of material uncertainty in composite laminate structures optimized using a simultaneous topology and material optimization approach. The method is based on computing worst-case values for the material properties and provides an efficient way of handling variation in material properties of composites for stiffness driven optimization problems. An analysis is performed to evaluate the impact of material uncertainty on designs from two design problems: Maximization of stiffness and minimization of a failure criteria index, respectively. The design problems are solved using different loads, boundary conditions and manufacturing constraints. The analysis indicates that the influence of material uncertainty is dependent on the type of optimization problem. For compliance problems the impact on the objective value is proportional to the changes of the constitutive properties and the effect of material uncertainty is consistent and predictable for the generated designs. The strength-based problem shows that material uncertainty has a significant impact on the response, and the effects of material uncertainty is not consistent and changes for different design requirements. In addition, the results show an increase of up to 25% of the maximum failure index when considering the worst-case deviation of the constitutive properties from their nominal values. © 2022 The Author(s)

sted, utgiver, år, opplag, sider
Elsevier Ltd , 2023. Vol. 305, artikkel-id 116409
Emneord [en]
Hyperbolic function parametrization (HFP), Laminated composites, Material uncertainty, Robust optimization, Structural optimization, Uncertainty quantification, Failure (mechanical), Hyperbolic functions, Materials handling, Stiffness, Uncertainty analysis, Design problems, Effects of materials, Failure criteria, Hyperbolic function parametrization, Optimization problems, Parametrizations, Structural optimisations, Uncertainty quantifications
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Identifikatorer
URN: urn:nbn:se:ri:diva-62563DOI: 10.1016/j.compstruct.2022.116409Scopus ID: 2-s2.0-85145607861OAI: oai:DiVA.org:ri-62563DiVA, id: diva2:1729759
Merknad

 Funding details: Vetenskapsrådet, VR, 2019–04615; Funding details: Energimyndigheten, P48175-1; Funding text 1: This work is financed by the Swedish Energy Agency (Energimyndigheten) through grant number P48175-1 and the Swedish Research Council under grant agreement No 2019–04615, and is associated with the Swedish Electromobility Center 1 (SEC). Their support is gratefully acknowledged. The authors would also like to thank Krister Svanberg for providing his implementation of GCMMA.; Funding text 2: This work is financed by the Swedish Energy Agency (Energimyndigheten) through grant number P48175-1 and the Swedish Research Council under grant agreement No 2019–04615 , and is associated with the Swedish Electromobility Center 1 1 (SEC). Their support is gratefully acknowledged. The authors would also like to thank Krister Svanberg for providing his implementation of GCMMA.

Tilgjengelig fra: 2023-01-23 Laget: 2023-01-23 Sist oppdatert: 2023-01-23bibliografisk kontrollert

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