Design of progressively folding thin-walled tubular components using compliant mechanism synthesis

Bandi, Punit; Detwiler, Duane; Schmiedeler, James P.; Tovar, Andrés

doi:10.1016/j.tws.2015.06.010

Cited by 11 publications

(5 citation statements)

References 31 publications

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“…Step 1: Conceptual design generation. In order to trigger a progressive collapse on the S-rail, principles of topology optimization of compliant mechanisms [47,44] are applied to the design of thin-walled structures [6,36]: given the displacement of prescribed input ports, the objective is to find the thickness distribution that maximizes the displacement of prescribed output ports. The input ports are prescribed on the S-rail at the contact nodes with the rigid wall.…”

Section: S-railmentioning

confidence: 99%

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Design for Crashworthiness of Categorical Multimaterial Structures Using Cluster Analysis and Bayesian Optimization

Detwiler

et al. 2019

Journal of Mechanical Design

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This work introduces a cluster-based structural optimization (CBSO) method for the design of categorical multimaterial structures subjected to crushing, dynamic loading. The proposed method consists of three steps: conceptual design generation, design clustering, and Bayesian optimization. In the first step, a conceptual design is generated using the hybrid cellular automaton (HCA) algorithm. In the second step, threshold-based cluster analysis yields a lower-dimensional design. Here, a cluster validity index for structural optimization is introduced in order to qualitatively evaluate the clustered design. In the third step, the optimal design is obtained through Bayesian optimization, minimizing a constrained expected improvement function. This function allows to impose soft constraints by properly redefining the expected improvement based on the maximum constraint violation. The Bayesian optimization algorithm implemented in this work has the ability to search over (i) a real design space for sizing optimization, (ii) a categorical design space for material selection, or (iii) a mixed design space for concurrent sizing optimization and material selection. With the proposed method, materials are optimally selected based on multiple attributes and multiple objectives without the need for material ranking. The effectiveness of this approach is demonstrated with the design for crashworthiness of multimaterial plates and thin-walled structures.

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Section: S-railmentioning

confidence: 99%

“…The input ports are prescribed on the S-rail at the contact nodes with the rigid wall. The output ports are defined by the wavelength λ of the progressive buckling corresponding to an ideal axial crushing condition [6] (Fig. 16).…”

Section: S-railmentioning

confidence: 99%

Design for Crashworthiness of Categorical Multimaterial Structures Using Cluster Analysis and Bayesian Optimization

Detwiler

et al. 2019

Journal of Mechanical Design

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“…In this case, the input ports are prescribed at the contact nodes with a rigid wall. The output ports are defined by the wavelength λ of the progressive buckling corresponding to an ideal axial crushing condition [64] (Fig. 17).…”

Section: Mechanical Compliance Under a Static Loadmentioning

confidence: 99%

Optimal Design of Nonlinear Multimaterial Structures for Crashworthiness Using Cluster Analysis

Liu

Detwiler

Tovar

2017

Journal of Mechanical Design

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This study presents an efficient multimaterial design optimization algorithm that is suitable for nonlinear structures. The proposed algorithm consists of three steps: conceptual design generation, clustering, and metamodel-based global optimization. The conceptual design is generated using a structural optimization algorithm for linear models or a heuristic design algorithm for nonlinear models. Then, the conceptual design is clustered into a predefined number of clusters (materials) using a machine learning algorithm. Finally, the global optimization problem aims to find the optimal material parameters of the clustered design using metamodels. The metamodels are built using sampling and cross-validation, and sequentially updated using an expected improvement function until convergence. The proposed methodology is demonstrated using examples from multiple physics and compared with traditional multimaterial topology optimization method. The proposed approach is applied to nonlinear, multi-objective design problems for crashworthiness.

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“…More accurate dynamic responses of the structure can be obtained under impact loading. The HCA is further developed to enhance energy absorption characteristics of the plate structure [26], thin-walled tubes [27][28][29]. In above mentioned HCA-based method, the division of design domain depends on designer's input, it cannot be applied to a general problem.…”

Section: Introductionmentioning

confidence: 99%

Topometry Optimization of Energy Absorbing Structure through Targeting Force-Displacement Method considering Tailor Rolled Blank Process

Wang

Lin

et al. 2022

International Journal of Aerospace Engineering

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Inspired by topometry optimization, this work proposed a new design approach that mixed of targeting force-displacement (TFD) method and tailor rolled blank (TRB) process for thin-walled energy absorption structures, which has vast applied prospects in the aerospace and automotive industries. This method not only overcomes manufacturing difficulty caused by the TFD method based on topometry optimization but also provides a new idea for TRB energy absorption structure. The optimized results can be transferred to the computer aided design environment without additional postprocessing. Firstly, a uniform thickness constraint is introduced to make the designed structure have constant thickness distribution along desired direction; topometry optimization is carried out to use TFD method. Secondly, a method that can automatically divide the design domain is developed. The adjacent elements with smaller thickness differences are merged to form TRB subdomains based on the optimization results of forestep, and the TFD method is used again. Finally, TRB finite element modeling codes is developed. According to the second step, modeling of the transition zone is added to finally form the TRB structure that meets the requirements of manufacturing. This method is used to optimize the crashworthiness of the thin-walled tube under axial and oblique loading. Numerical results demonstrate the effectiveness of this method. Therefore, this method can be used to design high-efficiency energy absorber on aircraft or automobile, such as the strut of aircraft and energy absorption box of automobile.

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Design of progressively folding thin-walled tubular components using compliant mechanism synthesis

Cited by 11 publications

References 31 publications

Design for Crashworthiness of Categorical Multimaterial Structures Using Cluster Analysis and Bayesian Optimization

Design for Crashworthiness of Categorical Multimaterial Structures Using Cluster Analysis and Bayesian Optimization

Optimal Design of Nonlinear Multimaterial Structures for Crashworthiness Using Cluster Analysis

Topometry Optimization of Energy Absorbing Structure through Targeting Force-Displacement Method considering Tailor Rolled Blank Process

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