Article
Computer Science, Interdisciplinary Applications
Kaiqing Zhang, Gengdong Cheng
Summary: This paper studies the minimum compliance structural topology optimization for additive manufacturing, and proposes a concise optimization formulation to effectively suppress undesirable features in the design by improving constraint aggregating functions and aggregating constraints.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Alain Garaigordobil, Ruben Ansola, Javier Canales, Roque Borinaga
Summary: This paper investigates the topology optimization of structures subjected to self-weight loads with self-supporting constraints for additive manufacturing. The proposed method combines an effective numerical procedure for contour evaluation with a modified version of the power-law model for low densities to eliminate problems associated with self-weight loads. The proposed technique for overhang edge detection and a variable mask size technique contribute to the effectiveness and robustness of the method.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Chemistry, Multidisciplinary
Babin Dangal, Sangjin Jung
Summary: This study provides insights into the effects of build orientation, AM constraints, and different design objectives on structural topology optimization for AM through comparative analysis.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Interdisciplinary Applications
Alain Garaigordobil, Ruben Ansola, Igor Fernandez de Bustos
Summary: This article discusses the Dripping Effect in topology optimization for Additive Manufacturing and proposes an effective prevention strategy. Despite differing opinions on how to prevent it, the method introduced in this paper successfully avoids the phenomenon.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Multidisciplinary
Mikihiro Tajima, Takayuki Yamada
Summary: This paper proposes a coupled fictitious physics model (CFPM) to solve the problem of geometric constraints in topology optimization and laser powder bed fusion (LPBF), thereby improving convergence.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Chao Wang, Bin Xu, Zunyi Duan, Jianhua Rong
Summary: This study introduces a formulation for structural topology optimization that considers material strength, structural stiffness, and connectivity simultaneously, by integrating stress and simply-connected constraints. An effective solution algorithm is proposed to handle numerical difficulties arising from this complex multi-constraint and multi-field problem. Numerical examples are used to assess the features of the achieved design and the performance of the algorithm.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Materials Science, Multidisciplinary
Rossana R. Fernandes, Ali Y. Tamijani
Summary: This paper presents an experimentally validated framework for performing topology and orientation optimization of lattice structures subject to stress constraints. Effective stiffnesses and yield stresses of a unit cell are obtained using numerical homogenization and implemented via macrostructure topology optimization to improve lattice structure stiffness.
MATERIALS & DESIGN
(2021)
Article
Engineering, Multidisciplinary
Jing Zheng, Gongteng Zhang, Chao Jiang
Summary: A thermoelastic topology optimization method is developed in this paper considering stress and manufacturing constraints. The method utilizes a design dependent non-uniform temperature field for heat conduction and thermoelastic analysis. The proposed topology optimization model minimizes structural compliance under stress and overhang angle constraints using the solid isotropic material with penalization (SIMP) approach. The effectiveness of the method is demonstrated through numerical examples, showing reduction in stress values and control overhang angles for additive manufacturing.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Quhao Li, Qiangbo Wu, Ji Liu, Jingjie He, Shutian Liu
Summary: This paper proposes a new formulation of frequency band constraint based on a modified Heaviside function for topology optimization of engineering structures. The method effectively addresses numerical issues in the optimization process and validates its effectiveness by considering frequency band constraints in optimized results.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Ronald Bartz, Thilo Franke, Sierk Fiebig, Thomas Vietor
Summary: This paper presents a density-based shape optimization method using an interface motion scheme. The aim is to generate optimal material distributions with high-quality interfaces for topology and shape optimization. By using a density function, the method can seamlessly adopt density-based topology optimization results as the initial design, and also introduce a constraint for surface curvature.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Alberto Donoso, Ernesto Aranda, David Ruiz
Summary: The aim of this work is to propose a continuous mathematical model that captures and enforces connectivity in topology optimization. This is achieved by constraining the second eigenvalue of an auxiliary eigenproblem solved alongside the governing state law during each iterative step. The effectiveness of our density-based approach is demonstrated through 2D and 3D numerical examples in the field of structural design.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Chao Wang, Bin Xu, Zunyi Duan, Jianhua Rong
Summary: This work proposes a robust and efficient approach to structural topology optimization considering manufacturable connectivity and manufacturing uncertainties. The proposal includes a rational inclusion of the Poisson equation-based potential constraint for manufacturable connectivity in three projected fields, which helps achieve manufacturable designs with reliable performance. Furthermore, the paper develops an effective potential constraint strategy and provides an applicable solving scheme to reduce computational cost and address numerical difficulties.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Engineering, Mechanical
Heitor Nigro Lopes, Daniel Candeloro Cunha, Renato Pavanello, Jarir Mahfoud
Summary: The study utilized the BESO algorithm for topology optimization to maximize the natural frequency separation interval of a structure, solving issues with disconnected and trivial solutions through connectivity constraints. Feasibility of the structure was assessed by verifying compliance with manufacturing and design constraints.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Interdisciplinary Applications
Gregoire Allaire, Martin Bihr, Beniamin Bogosel, Matias Godoy
Summary: This paper focuses on the accessibility constraint, a geometric constraint for shape and topology optimization of structures in additive manufacturing. The constraint is motivated by the difficulty in removing sacrificial supports hidden within complex geometries of structures. The paper presents a mathematical approach to evaluate this accessibility constraint using distance functions and eikonal equations, allowing for shape derivatives computation. Numerical demonstrations show that the approach enables simultaneous optimization of mechanical performance and accessibility of building supports, ensuring manufacturability.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Article
Engineering, Multidisciplinary
Weiwei Wang, Hongling Ye, Zonghan Li, Yunkang Sui
Summary: This article presents a novel topology optimization framework that ensures torsional disc structures meet the resistant capability of in-plane deformation without causing out-of-plane buckling failure. The paper applies composite exponential filter functions and Taylor expansion to establish approximate explicit functions between structural performance and design variables. A dual-sequence quadratic programming algorithm solves the explicit topology optimization model, while an adaptive image filter technology overcomes numerical instability issues in the finite element model. The effectiveness and feasibility of the method are illustrated through various designs of torsional disc structures.
ENGINEERING OPTIMIZATION
(2023)
Article
Engineering, Manufacturing
Xueshan Ding, Shutian Liu, Yang Liu, Zeqi Tong
INTERNATIONAL JOURNAL OF CRASHWORTHINESS
(2020)
Article
Materials Science, Multidisciplinary
Zihao Yang, Yongcun Zhang, Shutian Liu, Zhangming Wu
Summary: A novel dual-constituent lattice sandwich panel with in-plane zero thermal expansion and high structural stiffness properties is proposed in this study. Different cell configurations and parametric studies were conducted to optimize the design and show the control effectiveness of thermal deformation. The optimal cell designs that enable the sandwich panels to achieve in-plane zero thermal expansion and high stiffness properties are also presented.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2021)
Article
Instruments & Instrumentation
Mingli Li, Renjing Gao, Shutian Liu, Liyong Tong
SMART MATERIALS AND STRUCTURES
(2020)
Article
Computer Science, Interdisciplinary Applications
Wenzheng Su, Shutian Liu
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2020)
Article
Physics, Applied
Xiangyu Tian, Wenjiong Chen, Renjing Gao, Shutian Liu, Jiaxing Wang
APPLIED PHYSICS EXPRESS
(2020)
Article
Engineering, Electrical & Electronic
Qi Wang, Renjing Gao, Shutian Liu
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2020)
Article
Physics, Applied
Chuan Liu, Renjing Gao, Qi Wang, Shutian Liu
JOURNAL OF APPLIED PHYSICS
(2020)
Article
Mechanics
Xiangyu Tian, Wenjiong Chen, Renjing Gao, Shutian Liu, Jiaxing Wang
COMPOSITE STRUCTURES
(2020)
Article
Optics
Pengfei Shi, Yangyang Cao, Hongge Zhao, Renjing Gao, Shutian Liu
Article
Engineering, Multidisciplinary
Yunfeng Luo, Ole Sigmund, Quhao Li, Shutian Liu
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2020)
Article
Engineering, Multidisciplinary
Renjing Gao, Yi Tang, Qi Wang, Shutian Liu
Summary: This paper proposes an optimization method of pattern synthesis for peak sidelobe level (PSLL) suppression and null controlling via element rotation and phase optimization. The improved MoM method is used to solve the radiation problem, and by optimizing the rotation angles and excitation phases, the radiation performance of the anti-interference array can be effectively improved.
ENGINEERING OPTIMIZATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Quhao Li, Qiangbo Wu, Ji Liu, Jingjie He, Shutian Liu
Summary: This paper proposes a new formulation of frequency band constraint based on a modified Heaviside function for topology optimization of engineering structures. The method effectively addresses numerical issues in the optimization process and validates its effectiveness by considering frequency band constraints in optimized results.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Materials Science, Multidisciplinary
Yang Liu, Shutian Liu
Article
Computer Science, Interdisciplinary Applications
Zheng Qiu, Quhao Li, Shutian Liu, Rui Xu
Summary: This paper proposes a dynamic clustering strategy for topology optimization, which automatically divides the macrodesign domain based on the directions and ratios of principal stress, without the need for predefined ranges to group microstructures and allowing for arbitrarily specified numbers of microstructures for optimization.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Electrical & Electronic
Qi Wang, Jun Yang, Yi Tang, Renjing Gao, Shutian Liu
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2020)