2022
DOI: 10.1007/s00158-022-03349-z
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Reliability-Based Robust Optimization Design for vehicle drum brake considering multiple failure modes

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Cited by 6 publications
(2 citation statements)
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“…Data-driven technology has great potential in engineering applications [39]. The Kriging model is widely used in engineering optimization because of its good robustness and nonlinear approximation capability [40,41]. The Kriging model introduces statistical assumptions to represent the objective function as a stochastic process as follows.…”
Section: Incremental Learning Kriging Modelmentioning
confidence: 99%
“…Data-driven technology has great potential in engineering applications [39]. The Kriging model is widely used in engineering optimization because of its good robustness and nonlinear approximation capability [40,41]. The Kriging model introduces statistical assumptions to represent the objective function as a stochastic process as follows.…”
Section: Incremental Learning Kriging Modelmentioning
confidence: 99%
“…Regarding the issue of vibration failure in brakes, Zhang et al [32] conducted reliability analysis of brake shoes considering random strength degradation, and the reliability of brake shoes was predicted for different impact load frequencies and initial strengths. Yang et al obtained sample data between drum brake design parameters and natural frequencies by DoE method [30],…”
Section: Introductionmentioning
confidence: 99%