2017
DOI: 10.1007/s00158-017-1825-y
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Multiobjective reliability-based optimization for crashworthy structures coupled with metal forming process

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Cited by 48 publications
(13 citation statements)
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“…42 By ensuring that there is a connection between the outer and inner walls of the multi-cell cross section, a stable fold condition is induced with a narrow force fluctuation range. 52 This is an important feature to have for a crash rail as this configuration helps reduce the likelihood of fracture under these load conditions, which was demonstrated by Sun et al 41,49 and Omer et al 57 via quasi-static and dynamic tests. Thus, it can be deduced by this alone that an increase in the number of corners (or more regions capable of large plastic deformation) holds the potential to vastly improve crashworthiness.…”
Section: Cross-sectional Designsmentioning
confidence: 94%
See 1 more Smart Citation
“…42 By ensuring that there is a connection between the outer and inner walls of the multi-cell cross section, a stable fold condition is induced with a narrow force fluctuation range. 52 This is an important feature to have for a crash rail as this configuration helps reduce the likelihood of fracture under these load conditions, which was demonstrated by Sun et al 41,49 and Omer et al 57 via quasi-static and dynamic tests. Thus, it can be deduced by this alone that an increase in the number of corners (or more regions capable of large plastic deformation) holds the potential to vastly improve crashworthiness.…”
Section: Cross-sectional Designsmentioning
confidence: 94%
“…As mentioned, many studies have been conducted upon multi-cell extrusions, primarily with aluminum extrusions. A swarm optimization had been conducted by Fang et al to obtain a cross-sectional design of a longitudinal rail, this constraint driven algorithm highlighted the trend of the material being pushed toward 40 Y N N N Sun et al 41 Y N N N Fang et al 42 Y N N N Ito et al 43 N/A N/A N/A Y Lee and Park 44 P N P N Gao et al 45 Y Y N N Qiu et al 46 Y Y N N Noversa and Peixinho 47 Y N N N Asanjarani et al 38 Y N N N An et al 48 Y N Y N Sun et al 49 Y N N N Reddy et al 35 Y N N N Kamran et al 50 Y N N N Hou et al 51 Y N N N Ma et al 52 Y N N N Zaidi et al 53 N N Y Y Zhu et al 54 Y Y Y N Kohar et al 55 Y N N N Kohar et al 56 Y N N N Omer et al 57 Y N N N Schlosser et al 58 N N Y N Li et al 59 Y N N N Sun et al 60 Y N N N Zahran et al 37 Y N N Y Xu et al 61 Y N N Y Nia and Chahardoli 62 Y N N P Zhang et al 63 Y N N N Reddy et al 64 Y N N N the corners of the member. This had been identified to aid in the increase of energy absorption by inducing more folds under the crush load.…”
Section: Cross-sectional Designsmentioning
confidence: 99%
“…Recently, the effect of holes as crush initiators on the crashworthiness performance of bi-tubular aluminum profiles is analyzed. 27 In addition, in the design of thin-walled structures, a series of novel optimization algorithms such as size optimization, 28,29 shape optimization, 30,31 topology optimization, 32,33 multi-objective optimization, 18,19 multi-objective reliability-based design optimization, 34,35 and multi-objective robust-based design optimization 14,36 have been proposed. These methods provide a series of powerful tools to design complex engineering structures to satisfy different design requirements.…”
Section: Introductionmentioning
confidence: 99%
“…C ONSTRAINED multi-objective optimization problems (CMOPs) exist widely in real-world applications, such as the optimal scheduling of energy storage systems [1], the optimization of biped robot gaits [2] and reliability-based optimization for crashworthy structures [3]. This type of problems involves a simultaneous optimization of multiple and often conflicting objectives, and a set of equality and/or inequality constraints.…”
Section: Introductionmentioning
confidence: 99%
“…3 as an example again, in the second-round of clustering, solutions 2 and 8-10 are associated with λ 2 , and solutions 5-7 are associated with λ 4 . Since both the two new clusters have more than one solution, we can identify the best solution within each of the clusters to form the second layer L 2 = {2, 5}, with the assumption that the solutions 2 and 5 are selected from C 2 and C 4 , respectively 3 .…”
mentioning
confidence: 99%