Abstract
In this paper, robustness optimization of a fatigue-critical welded structure with measured misalignments and a generic robust design procedure are presented. The motivation for considering uncertainties, robustness and multi-criteria decision making in engineering design comes from the increasing sustainability requirements. Lightweight design of vehicles can reduce CO2 emissions and increase energy and material efficiency, but often the fatigue of welds limits the weight reduction. The manufacturing quality affects the fatigue strength of welds, and by quantifying the manufacturing quality and using robust design methodology the increasing sustainability requirements can be met, while also considering the technical and economical constraints. The surrogate model representing the relationship between the actual, measured geometry and the fatigue life can be used as the digital twin during operation.
| Original language | English |
|---|---|
| Pages (from-to) | 66-80 |
| Journal | Journal of Structural Mechanics |
| Volume | 55 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 23 Dec 2022 |
| MoE publication type | A1 Journal article-refereed |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 13 Climate Action
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SDG 17 Partnerships for the Goals
Keywords
- Digital twin
- Quality
- Metrology
- Optimization
- Uncertainty quantification
- Reliability
- Robust design
- Fatigue
- Sustainability
- uncertainty quantification
- reliability
- digital twin
- metrology
- sustainability
- quality
- fatigue
- optimization
- robust design
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