A novel inverse procedure for load identification based on improved artificial tree algorithm

Xu, Huxiu; Zhang, Liyuan

doi:10.1007/s00366-019-00848-4

Cited by 8 publications

(5 citation statements)

References 36 publications

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“…First, two optimization objectives are considered in the B-pillar and the rocker, that maximizing MCF and minimizing SM. We use the MOAT algorithm [51][52][53][54] to optimize the two-objective issues. The theory of MOAT algorithm is shown in supplementary file.…”

Section: Optimize the B-pillar And The Rockermentioning

confidence: 99%

Multi-objective optimization design of B-pillar and rocker sub-systems of battery electric vehicle

Chen

et al. 2021

Struct Multidisc Optim

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B-pillar and rocker are the key force transmission sub-systems of the side impact of Battery Electric Vehicle (BEV), and scholars have studied the side crashworthiness of these sub-systems and vehicle body a lot. However, these works are insufficient on the analysis of benchmarking vehicle models, the simulation and experiment of the B-pillar and rocker sub-systems, and the optimization of these sub-systems. To make up these shortcomings, this work aims to design the B-pillar and the rocker, and improve the side crashworthiness of BEV. It presents a systematic method on the side crashworthiness of BEV. The dynamic bending performance of the B-pillar and the rocker are studied in simulation analyses and experiments. The materials, structures and crashworthiness of these two sub-systems of eleven benchmark models are studied. Minimizing structural mass (SM) and Cost as well as maximizing mean crushing force (MCF) are performed based on multi-objective artificial tree (MOAT) algorithm to optimize the B-pillar and the rocker. The optimized sub-systems are applied to the body of a BEV. As a result, the performance of the B-pillar and the rocker is significantly improved, and their optimal solution templates are provided. The performance of the BEV is also improved under the Advanced European Mobile Deformable Barrier (AEMDB) side impact and the oblique pole side impact. Some interesting conclusions for BEV are presented. In summary, this work has obvious reference value for automotive engineers and scholars to further study the crashworthiness and lightweight of BEV.

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Section: Optimize the B-pillar And The Rockermentioning

confidence: 99%

Multi-objective optimization design of B-pillar and rocker sub-systems of battery electric vehicle

Chen

et al. 2021

Struct Multidisc Optim

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“…Since the calculation results are the pressure curves at sections 1 and 2, there are two IGD values (IGD 1 and IGD 2 ) that corresponding to the responses at sections 1 and 2. Based on AT algorithm [37,38], the inverse of the spring stiffness parameters is carried out with the goal of minimizing the IGD= IGD 1 +IGD 2 .…”

Section: Parameters Reverse Of the Wnls Based On At Algorithmmentioning

confidence: 99%

Design of resonant structures in resin matrix to mitigate the blast wave with a very wide frequency range

et al. 2020

Smart Mater. Struct.

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In this work, resonant structures (RSs) are embedded in the resin matrix to form the micro-scale artificial composite materials to mitigate the blast wave with a very wide frequency range (BWR). The propagation of stress waves in the resin and composite materials is described, and the composite materials exhibit stronger blast wave attenuation characteristic compared with the pure resin material. The attenuation mechanism of the composite materials is explained in detail through the absorption, storage and conversion of impact energy. In addition, the influences of materials of the RSs on the performances of the composite materials are analyzed, and the RS is redesigned to further improve the attenuation effect of the composite material. Equivalent model of the composite material is first proposed and established based on the weakly nonlinear lattice system (WNLS). At the same time, artificial tree algorithm is applied to design its spring stiffness parameters. Based on the WNLS, a three-dimensional composite material plate structure is built to mitigate the overpressure of blast wave at the macro-scale. Compared with traditional materials, the composite material exhibits superior attenuation effect and greater lightweight.

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“…Therefore, the branch update operator should be selected before the branch is renewed. However, the basic crossover and self-evolution operators do not consider the information interaction between branches sufficiently [17] . When a branch is updated by the crossover operator, it has no information exchange with other branches.…”

Section: Improved Crossover Operator and Improved Self-evolution Operatormentioning

confidence: 99%

“…In AT [16] , two operators, namely the crossover operator and the self-evolution operator, are applied to update the branches. However, the basic AT algorithm does not consider the information interaction between branches sufficiently [17,18] . In this work, an improved crossover operator and an improved self-evolution operator are introduced to consider the information interaction between branches comprehensively.…”

Section: Introductionmentioning

confidence: 99%

Development of a multi-objective artificial tree (MOAT) algorithm and its application in acoustic metamaterials

Chen

et al. 2020

Memetic Comp.

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Although there are many algorithms that can solve the multi-objective optimization problems (MOPs) efficiently, each algorithm has its own disadvantages. The emergence of new algorithms is beneficial to make up the deficiencies of existing algorithms. Inspired by the organic matter transport process and the branch update theory of the banyan, this work proposed a new bio-inspired algorithm, named the multi-objective artificial tree (MOAT) algorithm to solve the MOPs. In MOAT, an improved crossover operator and an improved self-evolution operator are introduced to update solutions, a adaptive grid method is applied to manage the non-dominated solutions, and the strategy of variable number of branches in population is adopted to enhance the accuracy of this algorithm. Many typical test functions and seven well-known multi-objective algorithms, including MOEAD, NSGAII, MOPSO, GDE3, εMOEA, IBEA and MPSO/D, are applied to study the accuracy and efficiency of MOAT.Experimental tests show that the results of MOAT are better than those of the seven algorithms, and the performance of MOAT is demonstrated. In addition, this new algorithm is also applied to solve the MOPs of two-dimensional acoustic metamaterials (AMs). The key parameters of AMs are optimized by MOAT to mitigate impact load and reduce structural mass, and the performance of these AMs is significantly improved.

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A novel inverse procedure for load identification based on improved artificial tree algorithm

Cited by 8 publications

References 36 publications

Multi-objective optimization design of B-pillar and rocker sub-systems of battery electric vehicle

Multi-objective optimization design of B-pillar and rocker sub-systems of battery electric vehicle

Design of resonant structures in resin matrix to mitigate the blast wave with a very wide frequency range

Development of a multi-objective artificial tree (MOAT) algorithm and its application in acoustic metamaterials

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