Crashworthiness Optimization Using Response Surface Method Based on Uniform Design

Yoshino, Tatsuo; Xu, Tao; Xu, Tian Shuang; Peng, Cheng

doi:10.4028/www.scientific.net/amm.34-35.399

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…The reliability of the optimization result depends on the accuracy of the RSM, and this work uses the root mean square error (RMSE) and the correlation coefficient (R 2 ) to assess the accuracy of the RSM. [37][38][39] The expression of RMSE and R 2 can be written as…”

Section: Rsmmentioning

confidence: 99%

Multi-objective crashworthiness optimization of vehicle body with negative Poisson’s ratio structure based on factorial analysis

Zou

Dai

Zhao

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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To improve vehicle side crashworthiness, this paper first introduces the negative Poisson’s ratio structure to the traditional B-pillar and proposes a negative Poisson’s ratio B-pillar. Then, the performance of the negative Poisson’s ratio B-pillar is studied in detail by comparison with a traditional B-pillar and honeycomb B-pillar. Aiming at the problem that the side crashworthiness is also significantly affected by the side structure parameters of vehicle body, the factorial analysis theory is adopted to screen out the side structure parameters with significant effect. Based on this, by combining the optimal Latin hypercube design and response surface model, a multi-objective optimization design is conducted for those structure parameters based on non-dominated sorting genetic algorithm II. Finally, the normal boundary intersection method is adopted to seek the Pareto optimal solution, and the simulation results show that compared with the traditional B-pillar, the negative Poisson’s ratio B-pillar optimized by non-dominated sorting genetic algorithm II has better comprehensive crashworthiness. The results of this paper can provide some basis for the design and optimization of vehicle side crashworthiness.

show abstract

Section: Rsmmentioning

confidence: 99%

Multi-objective crashworthiness optimization of vehicle body with negative Poisson’s ratio structure based on factorial analysis

Zou

Dai

Zhao

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

show abstract

“…The approximate model is mainly based on experimental design and sample data. RSM could simulate the real function by fitting a response surface through a series of 'experiment' (Yoshino et al 2010). Assuming the response Y and independent variable X have the functionY = F (X), where X = [x 1 x 2 .…”

Section: Multi-objective Optimization Methodsmentioning

confidence: 99%

Design optimization of a runflat structure based on multi-objective genetic algorithm

Guan

Cheng

et al. 2015

Struct Multidisc Optim

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Runflat structure plays an important role in determining the sustainable mileage after the tire is shot. Lightweight, stiffness and strength are highly relevant to the overall performance of the structure. A parameterized model was built based on the full study of the structure, and a new adaptive meshing method is proposed to ensure the quality of the model. The accuracy of the new model was verified by comparing to the traditional finite element model. The parameter study was carried out to investigate the response of the performance and mass. Multiobjective optimization model was established by applying optimal Latin square design method and response surface model approach. Non-dominated sorting genetic algorithm-II (NSGA-II) was applied to obtain the optimization design.The results indicate that the combination of parameterized model and multi-objective genetic algorithms successfully achieve the goal of multi-objective optimization for mass and displacement while ensuring the stress. Meanwhile, the optimal topology, shape and thickness optimization for the runflat structure have been achieved at the same time.

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Design optimization of a novel NPR crash box based on multi-objective genetic algorithm

Guan

et al. 2016

Struct Multidisc Optim

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Crashworthiness Optimization Using Response Surface Method Based on Uniform Design

Cited by 4 publications

References 4 publications

Multi-objective crashworthiness optimization of vehicle body with negative Poisson’s ratio structure based on factorial analysis

Multi-objective crashworthiness optimization of vehicle body with negative Poisson’s ratio structure based on factorial analysis

Design optimization of a runflat structure based on multi-objective genetic algorithm

Design optimization of a novel NPR crash box based on multi-objective genetic algorithm

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