@Article{cmes.2022.019835,
AUTHOR = {Pengpeng Zhi, Zhonglai Wang, Bingzhi Chen, Ziqiang Sheng},
TITLE = {Time-Variant Reliability-Based Multi-Objective Fuzzy Design Optimization for Anti-Roll Torsion Bar of EMU},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {131},
YEAR = {2022},
NUMBER = {2},
PAGES = {1001--1022},
URL = {http://www.techscience.com/CMES/v131n2/47013},
ISSN = {1526-1506},
ABSTRACT = {Although various types of anti-roll torsion bars have been developed to inhibit excessive roll angle of the electric
multiple unit (EMU) car body, it is critical to ensure the reliability of structural design due to the complexity of the
problems involving time and uncertainties. To address this issue, a multi-objective fuzzy design optimization model
is constructed considering time-variant stiffness and strength reliability constraints for the anti-roll torsion bar. A
hybrid optimization strategy combining the design of experiment (DoE) sampling and non-linear programming by
quadratic lagrangian (NLPQL) is presented to deal with the design optimization model. To characterize the effect
of time on the structural performance of the torsion bar, the continuous-time model combined with Ito lemma is
proposed to establish the time-variant stiffness and strength reliability constraints. Fuzzy mathematics is employed
to conduct uncertainty quantification for the design parameters of the torsion bar. A physical programming
approach is used to improve the designer’s preference and to make the optimization results more consistent with
engineering practices. Moreover, the effectiveness of the proposed method has been validated by comparing with
current methods in a practical engineering case.},
DOI = {10.32604/cmes.2022.019835}
}