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To address fatigue cracking in localized welded structures of mining wide-body dump truck frames during service, this study proposes a robust fatigue life optimization methodology incorporating uncertainties in welding process parameters. First, a high-fidelity surrogate model is established leveraging extensive numerical simulations, with welding process parameters as inputs and minimum structural fatigue life as the response. Subsequently, parameter uncertainties are introduced within an interval framework to formulate a multi-objective optimization model. This model aims to simultaneously maximize the minimum structural fatigue life and minimize its robustness index. Ultimately, optimization conducted via the NSGA-II algorithm delivers a 48.4% enhancement in the minimum fatigue life of welded structures and a 26.3% improvement in its robustness.

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Uncertainty-Incorporated Robust Optimization of Welding Process Parameters for Fatigue Life of Welded Structures of Mining Wide-Body Dump Truck

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Guandong Lu,
  • Meng Zhou,
  • Weiguo Gao,
  • Lingtao Weng,
  • Ketong Dong,
  • Jianying Zhao,
  • Dawei Zhang

摘要

To address fatigue cracking in localized welded structures of mining wide-body dump truck frames during service, this study proposes a robust fatigue life optimization methodology incorporating uncertainties in welding process parameters. First, a high-fidelity surrogate model is established leveraging extensive numerical simulations, with welding process parameters as inputs and minimum structural fatigue life as the response. Subsequently, parameter uncertainties are introduced within an interval framework to formulate a multi-objective optimization model. This model aims to simultaneously maximize the minimum structural fatigue life and minimize its robustness index. Ultimately, optimization conducted via the NSGA-II algorithm delivers a 48.4% enhancement in the minimum fatigue life of welded structures and a 26.3% improvement in its robustness.