Multi-objective and multi-case reliability-based design optimization for tailor rolled blank (TRB) structures

Sun, Guangyong; Zhang, Huile; Fang, Jianguang; Li, Guangyao; Li, Qing

doi:10.1007/s00158-016-1592-1

Cited by 100 publications

(23 citation statements)

References 44 publications

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“…G. Zhou et al [16] proposed a multi-objective optimal algorithm using Latin hypercube sampling technique, orthogonal design, response surface model, radial-based importance sampling technique, and multi-objective particle swarm optimization algorithm to develop novel side door negative Poisson's ratio impact beam. G. Sun et al [17] developed a multi-objective and multi-case reliability-based design optimization based on the radial basis function, the non-dominated sorting genetic algorithm II, and Monte Carlo simulation to optimize the tailor rolled blank hat-shaped structure. G. Sun et al [18] used an iterative optimization algorithm with arrays to maximize the mass and minimize energy absorption capacity of hybrid structures for transverse loading.…”

Section: Introductionmentioning

confidence: 99%

Efficient Hybrid Method of FEA‐Based RSM and PSO Algorithm for Multi‐Objective Optimization Design for a Compliant Rotary Joint for Upper Limb Assistive Device

Chau

Dao

et al. 2019

Mathematical Problems in Engineering

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This paper proposes an efficient hybrid methodology for multi-objective optimization design of a compliant rotary joint (CRJ). A combination of the Taguchi method (TM), finite element analysis (FEA), the response surface method (RSM), and particle swarm optimization (PSO) algorithm is developed to solving the optimization problem. Firstly, the TM is applied to determine the number of numerical experiments. And then, 3D models of the CRJ is built for FEA simulation, and mathematical models are formed using the RSM. Subsequently, the suitability of the regression equation is assessed. At the same time, the calculation of weight factors is identified based on the series of statistical equations. Based on the well-established equations, a minimum mass and a maximum rotational angle are simultaneously optimized through the PSO algorithm. Analysis of variance is used to analyze the contribution of design variables. The behavior of the proposed method is compared to the adaptive elitist differential evolution and cuckoo search algorithm through the Wilcoxon signed rank test and Friedman test. The results determined the weight factors of the mass and rotational angle are about 0.4983 and 0.5017, respectively. The results found that the optimum the mass and rotational angle are 0.0368 grams and 59.1928 degrees, respectively. It revealed that the maximum stress of 335 MPa can guarantee a long working time. The results showed that the proposed hybrid method outperforms compared to other evolutionary algorithms. The predicted results are close to the validation results. The proposed method is useful for related engineering fields.

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Section: Introductionmentioning

confidence: 99%

Efficient Hybrid Method of FEA‐Based RSM and PSO Algorithm for Multi‐Objective Optimization Design for a Compliant Rotary Joint for Upper Limb Assistive Device

Chau

Dao

et al. 2019

Mathematical Problems in Engineering

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“…Higher requirements of fuel efficiency and structural safety are in strong demand with intensifying socioeconomic legislation and industrial standard [1][2][3]. In general, these two aspects often conflict with each other [4]. One way to tackle this challenge is to replace traditional heavy metals with light-weight materials while remaining or even enhancing the structural performances.…”

Section: Introductionmentioning

confidence: 99%

Residual crashworthiness of CFRP structures with pre-impact damage – An experimental and numerical study

Chen

Sun

Meng

et al. 2018

International Journal of Mechanical Sciences

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This study investigated the effect of transverse pre-impact damage on the load bearing capacity and failure behavior of square carbon fiber reinforced plastic (CFRP) tubes for axial crushing. The CFRP tubes were impacted transversely in different levels of impact energies to generate initial damage, and then the specimens were further crushed axially to evaluate the relation between transverse impact energies/positions and the residual axial crashworthiness. A finite element (FE) model was also developed to simulate the complex damage behavior of the CFRP tubes under these two different loading processes, based upon the continuum damage model (CDM) with user-defined material subroutine in Abaqus. A combined failure mode was observed in the transverse pre-impact tests, in which delamination was combined with partial or complete fiber breakage when increasing the impact energy from 10 J to 30 J.

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“…Thus, MOPs that were based on surrogate models that concerned thin-walled structures were investigated to improve the performance in terms of crashworthiness and light weight [38,39]. Response surface methodology (RSM) was applied to the crashworthiness optimization of tapered thin-walled square tubes [40].…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Algorithm for Solving Multiobjective Optimization Problems with Engineering Applications

Fan

Yoshino

et al. 2018

Mathematical Problems in Engineering

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An effective hybrid algorithm is proposed for solving multiobjective optimization engineering problems with inequality constraints. The weighted sum technique and BFGS quasi-Newton's method are combined to determine a descent search direction for solving multiobjective optimization problems. To improve the computational efficiency and maintain rapid convergence, a cautious BFGS iterative format is utilized to approximate the Hessian matrices of the objective functions instead of evaluating them exactly. The effectiveness of the proposed algorithm is demonstrated through a comparison study, which is based on numerical examples. Meanwhile, we propose an effective multiobjective optimization strategy based on the algorithm in conjunction with the surrogate model method. This proposed strategy has been applied to the crashworthiness design of the primary energy absorption device's crash box structure and front rail under low-speed frontal collision. The optimal results demonstrate that the proposed methodology is promising in solving multiobjective optimization problems in engineering practice.

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Multi-objective and multi-case reliability-based design optimization for tailor rolled blank (TRB) structures

Cited by 100 publications

References 44 publications

Efficient Hybrid Method of FEA‐Based RSM and PSO Algorithm for Multi‐Objective Optimization Design for a Compliant Rotary Joint for Upper Limb Assistive Device

Efficient Hybrid Method of FEA‐Based RSM and PSO Algorithm for Multi‐Objective Optimization Design for a Compliant Rotary Joint for Upper Limb Assistive Device

Residual crashworthiness of CFRP structures with pre-impact damage – An experimental and numerical study

A Novel Hybrid Algorithm for Solving Multiobjective Optimization Problems with Engineering Applications

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