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

Guan, Zailin; Ma, Zheng-Dong; Li, Guangyao; Cheng, Aiguo; Duan, Libin; Zhao, Wanzhong

doi:10.1007/s00158-016-1452-z

Cited by 102 publications

(26 citation statements)

References 9 publications

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“…Compared with the ordinary structure, the negative Poisson's ratio (NPR) structure exhibits better mechanical property, such as lower mass, higher energy absorption, and impact resistance. [19][20][21] Wang et al 22 proposed a crash box composed of a concave structure shell and an inner core filled with the NPR structure, and a multi-objective optimization design is conducted for the crash box. The results showed that the energy absorption characteristics of the crash box were improved effectively.…”

Section: Introductionmentioning

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.

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Section: Introductionmentioning

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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“…When smaller intrusion displacement is obtained, the larger mass is needed with the same reliability level and a smaller mass will lead to larger intrusion displacement. To select the most satisfactory optimal solution, the satisfactory function is applied in this work, 20 shown as follows…”

Section: Optimization Results and Discussionmentioning

confidence: 99%

Multi-objective reliability design optimization of a novel side door negative Poisson’s ratio impact beam

Guan

Zhao

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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By possessing a good capacity for energy absorption and a lightweight structure, the negative Poisson's ratio (NPR) structure has very fine prospects for application in vehicle engineering. By combining the traditional side door impact beam and a NPR structure, a novel side door NPR impact beam is first proposed in this work to improve the side impact crashworthiness in automobiles. The performance of the side door NPR impact beam is first studied in detail by comparison with a traditional side door impact beam and aluminum-foam-filled impact beam. To make further improvement on the performance of the side door NPR impact beam, the multi-objective design optimization while considering reliability is also investigated in this work. The parametric model of the NPR structure is established to improve modeling efficiency when the shape and topology are changed. A Latin hypercube sampling technique, orthogonal design, and a response surface model are then combined to construct the surrogate models. A radial-based importance sampling technique (RBIS) and multi-objective particle swarm optimization algorithm (MOPSO) are applied in the inner and outer loop respectively to find the optimal multi-objective reliability solutions. The results indicate that the side impact crashworthiness is improved remarkably by the side door NPR impact beam and the structure is further improved by the multi-objective reliability optimization. The studies in this work also serve as a good example for other improvements in automobile performance.

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“…These fascinating properties all contribute to augmenting their applications in automotive, packaging and structural protection [1,2,3]. In recent years, increasing interests have been devoted in this field and the research results can be summarized to cover the topology design, property investigation, rapid prototyping and utilization of the auxetic structures [4,5,6,7,8].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Crushing Analysis of a Three-Dimensional Re-Entrant Auxetic Cellular Structure

Wang

et al. 2019

Materials

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Dynamic behaviors of the three-dimensional re-entrant auxetic cellular structure have been investigated by performing beam-based crushing simulation. Detailed deformation process subjected to various crushing velocities has been described, where three specific crushing modes have been identified with respect to the crushing velocity and the relative density. The crushing strength of the 3D re-entrant auxetic structure reveals to increase with increasing crushing velocity and relative density. Moreover, an analytical formula of dynamic plateau stress has been deduced, which has been validated to present theoretical predictions agreeing well with simulation results. By establishing an analytical model, the role of relative density on the energy absorption capacity of the 3D re-entrant auxetic structure has been further studied. The results indicate that the specific plastic energy dissipation is increased by increasing the relative density, while the normalized plastic energy dissipation has an opposite sensitivity to the relative density when the crushing velocity exceeds the critical transition velocity. The study in this work can provide insights into the dynamic property of the 3D re-entrant auxetic structure and provides an extensive reference for the crushing resistance design of the auxetic structure.

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

Cited by 102 publications

References 9 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

Multi-objective reliability design optimization of a novel side door negative Poisson’s ratio impact beam

Dynamic Crushing Analysis of a Three-Dimensional Re-Entrant Auxetic Cellular Structure

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