Table of Content

New Trends in Structural Optimization

Submission Deadline: 31 July 2022 (closed)

Guest Editors

Prof. Weisheng Zhang, Dalian University of Technology, China
Prof. Gilho Yoon, Hanyang University, South Korea
Prof. Akihiro Takezawa, Waseda University, Japan

Summary

Structural optimization, which devotes to designing lightweight products subject to performance constraints, has qualified as an important tool in engineering applications involving material design. The approach is generally classified into three groups: sizing, shape, and topology optimization. Recently, structural optimization has gained ever increasing attentions in both academic and industrial aspects. Along with huge engineering potentials, new challenges also emerge when structural optimization is applied for solving new problems. Such new challenging issues (e.g., manufacturing constraints), entangled with those long-time issues (e.g., multiscale/nonlinear optimization) pose severe limitation on the use of traditional structural optimization approaches .

 

This special issue therefore is focused on the recent developments of structural optimization approach and its application in dealing with the current challenge issues of great attentions.

Topics of interest for this special issue include but are not limited to recent developments for:

 

• Novel and efficient structural optimization algorithms

• Structural optimization handling manufacture constraints

• New methods to solve multi-objective structural optimization problems

• Nonlinear structural optimization problems

• Microstructure design and multiscale structural optimization

• Multi-physics design problems

• Structural design considering uncertainties 


Keywords

Structural optimization; shape optimization; topology optimization

Published Papers


  • Open Access

    ARTICLE

    Explicit Topology Optimization Design of Stiffened Plate Structures Based on the Moving Morphable Component (MMC) Method

    Xudong Jiang, Chang Liu, Shaohui Zhang, Weisheng Zhang, Zongliang Du, Xiaoyu Zhang, Huizhong Zeng, Xu Guo
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 809-838, 2023, DOI:10.32604/cmes.2023.023561
    (This article belongs to this Special Issue: New Trends in Structural Optimization)
    Abstract This paper proposes an explicit method for topology optimization of stiffened plate structures. The present work is devoted to simultaneously optimizing stiffeners’ shape, size and layout by seeking the optimal geometry parameters of a series of moving morphable components (MMC). The stiffeners with straight skeletons and the stiffeners with curved skeletons are considered to enhance the modeling and optimization capability of the current approach. All the stiffeners are represented under the Lagrangian-description framework in a fully explicit way, and the adaptive ground structure method, as well as dynamically updated plate/shell elements, is used to obtain optimized designs with more accurate… More >

    Graphic Abstract

    Explicit Topology Optimization Design of Stiffened Plate Structures Based on the Moving Morphable Component (MMC) Method

  • Open Access

    ARTICLE

    Multidisciplinary Modeling and Optimization Method of Remote Sensing Satellite Parameters Based on SysML-CEA

    Changyong Chu, Chengfang Yin, Shuo Shi, Shaohui Su, Chang Chen
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1413-1434, 2023, DOI:10.32604/cmes.2022.022395
    (This article belongs to this Special Issue: New Trends in Structural Optimization)
    Abstract To enhance the efficiency of system modeling and optimization in the conceptual design stage of satellite parameters, a system modeling and optimization method based on System Modeling Language and Co-evolutionary Algorithm is proposed. At first, the objectives of satellite mission and optimization problems are clarified, and a design matrix of discipline structure is constructed to process the coupling relationship of design variables and constraints of the orbit, payload, power and quality disciplines. In order to solve the problem of increasing non-linearity and coupling between these disciplines while using a standard collaborative optimization algorithm, an improved genetic algorithm is proposed and… More >

    Graphic Abstract

    Multidisciplinary Modeling and Optimization Method of Remote Sensing Satellite Parameters Based on SysML-CEA

  • Open Access

    ARTICLE

    Shape and Size Optimization of Truss Structures under Frequency Constraints Based on Hybrid Sine Cosine Firefly Algorithm

    Ran Tao, Xiaomeng Yang, Huanlin Zhou, Zeng Meng
    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 405-428, 2023, DOI:10.32604/cmes.2022.020824
    (This article belongs to this Special Issue: New Trends in Structural Optimization)
    Abstract Shape and size optimization with frequency constraints is a highly nonlinear problem with mixed design variables, non-convex search space, and multiple local optima. Therefore, a hybrid sine cosine firefly algorithm (HSCFA) is proposed to acquire more accurate solutions with less finite element analysis. The full attraction model of firefly algorithm (FA) is analyzed, and the factors that affect its computational efficiency and accuracy are revealed. A modified FA with simplified attraction model and adaptive parameter of sine cosine algorithm (SCA) is proposed to reduce the computational complexity and enhance the convergence rate. Then, the population is classified, and different populations… More >

  • Open Access

    ARTICLE

    Multi-Patch Black-White Topology Optimization in Isogeometric Analysis

    Qingyuan Hu, Yuan Liang, Menghao Liu, Manfeng Hu, Yawen Mao
    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 459-481, 2023, DOI:10.32604/cmes.2022.020327
    (This article belongs to this Special Issue: New Trends in Structural Optimization)
    Abstract Topological optimization plays a guiding role in the conceptual design process. This paper conducts research on structural topology optimization algorithm within the framework of isogeometric analysis. For multi-component structures, the Nitsche’s method is used to glue different meshes to perform isogeometric multi-patch analysis. The discrete variable topology optimization algorithm based on integer programming is adopted in order to obtain clear boundaries for topology optimization. The sensitivity filtering method based on the Helmholtz equation is employed for averaging of curved elements' sensitivities. In addition, a simple averaging method along coupling interfaces is proposed in order to ensure the material distribution across… More >

  • Open Access

    ARTICLE

    An Efficient Differential Evolution for Truss Sizing Optimization Using AdaBoost Classifier

    Tran-Hieu Nguyen, Anh-Tuan Vu
    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 429-458, 2023, DOI:10.32604/cmes.2022.020819
    (This article belongs to this Special Issue: New Trends in Structural Optimization)
    Abstract Design constraints verification is the most computationally expensive task in evolutionary structural optimization due to a large number of structural analyses that must be conducted. Building a surrogate model to approximate the behavior of structures instead of the exact structural analyses is a possible solution to tackle this problem. However, most existing surrogate models have been designed based on regression techniques. This paper proposes a novel method, called CaDE, which adopts a machine learning classification technique for enhancing the performance of the Differential Evolution (DE) optimization. The proposed method is separated into two stages. During the first optimization stage, the… More >

  • Open Access

    ARTICLE

    Topology Optimization of Self-Supporting Structures for Additive Manufacturing with Adaptive Explicit Continuous Constraint

    Jun Zou, Haolei Mou
    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 451-469, 2022, DOI:10.32604/cmes.2022.020111
    (This article belongs to this Special Issue: New Trends in Structural Optimization)
    Abstract The integration of topology optimization (TO) and additive manufacturing (AM) technologies can create significant synergy benefits, while the lack of AM-friendly TO algorithms is a serious bottleneck for the application of TO in AM. In this paper, a TO method is proposed to design self-supporting structures with an explicit continuous self-supporting constraint, which can be adaptively activated and tightened during the optimization procedure. The TO procedure is suitable for various critical overhang angles (COA), which is integrated with build direction assignment to reduce performance loss. Besides, a triangular directional self-supporting constraint sensitivity filter is devised to promote the downward evolution… More >

  • Open Access

    ARTICLE

    Fluid Analysis and Structure Optimization of Impeller Based on Surrogate Model

    Huanwei Xu, Wenzhang Wei, Hanjin He, Xuerui Yang
    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 173-199, 2022, DOI:10.32604/cmes.2022.019424
    (This article belongs to this Special Issue: New Trends in Structural Optimization)
    Abstract The surrogate model technology has a good performance in solving black-box optimization problems, which is widely used in multi-domain engineering optimization problems. The adaptive surrogate model is the mainstream research direction of surrogate model technology, which can realize model fitting and global optimization of engineering problems by infilling criteria. Based on the idea of the adaptive surrogate model, this paper proposes an efficient global optimization algorithm based on the local remodeling method (EGO-LR), which aims at improving the accuracy and optimization efficiency of the model. The proposed algorithm firstly constructs the expectation improvement (EI) function in the local area and… More >

  • Open Access

    ARTICLE

    Optimization Design of an Embedded Multi-Cell Thin-Walled Energy Absorption Structures with Local Surface Nanocrystallization

    Kang Xu, Tong Li, Gaofei Guan, Jianlong Qu, Zhen Zhao, Xinsheng Xu
    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 987-1002, 2022, DOI:10.32604/cmes.2022.018128
    (This article belongs to this Special Issue: New Trends in Structural Optimization)
    Abstract By means of the local surface nanocrystallization that enables to change the material on local positions, an innovative embedded multi-cell (EMC) thin-walled energy absorption structures with local surface nanocrystallization is proposed in this paper. The local surface nanacrystallization stripes are regarded as the moving morphable components in the domain for optimal design. Results reveal that after optimizing the local surface nanocrystallization layout, the specific energy absorption (SEA) is increased by 50.78% compared with the untreated counterpart. Besides, in contrast with the optimized 4-cell structure, the SEA of the nanocrystallized embedded 9-cell structure is further enhanced by 27.68%, in contrast with… More >

  • Open Access

    ARTICLE

    Multi-Material and Multiscale Topology Design Optimization of Thermoelastic Lattice Structures

    Jun Yan, Qianqian Sui, Zhirui Fan, Zunyi Duan
    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 967-986, 2022, DOI:10.32604/cmes.2022.017708
    (This article belongs to this Special Issue: New Trends in Structural Optimization)
    Abstract This study establishes a multiscale and multi-material topology optimization model for thermoelastic lattice structures (TLSs) considering mechanical and thermal loading based on the Extended Multiscale Finite Element Method (EMsFEM). The corresponding multi-material and multiscale mathematical formulation have been established with minimizing strain energy and structural mass as the objective function and constraint, respectively. The Solid Isotropic Material with Penalization (SIMP) interpolation scheme has been adopted to realize micro-scale multi-material selection of truss microstructure. The modified volume preserving Heaviside function (VPHF) is utilized to obtain a clear 0/1 material of truss microstructure. Compared with the classic topology optimization of single-material TLSs,… More >

  • Open Access

    ARTICLE

    Construction of Design Guidelines for Optimal Automotive Frame Shape Based on Statistical Approach and Mechanical Analysis

    Masanori Honda, Chikara Kawamura, Isamu Kizaki, Yoichi Miyajima, Akihiro Takezawa, Mitsuru Kitamura
    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.2, pp. 731-742, 2021, DOI:10.32604/cmes.2021.016181
    (This article belongs to this Special Issue: New Trends in Structural Optimization)
    Abstract A body frame composed of thin sheet metal is a crucial structure that determines the safety performance of a vehicle. Designing a correct weight and high-performance automotive body is an emerging engineering problem. To improve the performance of the automotive frame, we attempt to reconstruct its design criteria based on statistical and mechanical approaches. At first, a fundamental study on the frame strength is conducted and a cross-sectional shape optimization problem is developed for designing the cross-sectional shape of an automobile frame having a very high mass efficiency for strength. Shape optimization is carried out using the nonlinear finite element… More >

  • Open Access

    ARTICLE

    Bilateral Filter for the Optimization of Composite Structures

    Yuhang Huo, Ye Tian, Shiming Pu, Tielin Shi, Qi Xia
    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 1087-1099, 2021, DOI:10.32604/cmes.2021.015694
    (This article belongs to this Special Issue: New Trends in Structural Optimization)
    Abstract In the present study, we propose to integrate the bilateral filter into the Shepard-interpolation-based method for the optimization of composite structures. The bilateral filter is used to avoid defects in the structure that may arise due to the gap/overlap of adjacent fiber tows or excessive curvature of fiber tows. According to the bilateral filter, sensitivities at design points in the filter area are smoothed by both domain filtering and range filtering. Then, the filtered sensitivities are used to update the design variables. Through several numerical examples, the effectiveness of the method was verified. More >

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