Special Issue "New Trends in Structural Optimization"

Submission Deadline: 31 July 2022
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Guest Editors
Prof. Weisheng Zhang, Dalian University of Technology, China
Prof. Gilho Yoon, Hanyang University, South Korea
Prof. Akihiro Takezawa, Waseda University, Japan


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 

Structural optimization; shape optimization; topology optimization

Published Papers
  • An Efficient Differential Evolution for Truss Sizing Optimization Using AdaBoost Classifier
  • 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
  •   Views:472       Downloads:133        Download PDF

  • Topology Optimization of Self-Supporting Structures for Additive Manufacturing with Adaptive Explicit Continuous Constraint
  • 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
  •   Views:764       Downloads:267        Download PDF

  • Optimization Design of an Embedded Multi-Cell Thin-Walled Energy Absorption Structures with Local Surface Nanocrystallization
  • 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
  •   Views:411       Downloads:340        Download PDF

  • Multi-Material and Multiscale Topology Design Optimization of Thermoelastic Lattice Structures
  • 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
  •   Views:513       Downloads:456        Download PDF

  • Construction of Design Guidelines for Optimal Automotive Frame Shape Based on Statistical Approach and Mechanical Analysis
  • 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
  •   Views:883       Downloads:592       Cited by:1        Download PDF

  • Bilateral Filter for the Optimization of Composite Structures
  • 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
  •   Views:882       Downloads:739        Download PDF