Article
Engineering, Manufacturing
Zhiping Wang, Yicha Zhang, Alain Bernard
Summary: This paper proposes a new generative design method with manufacturing validation to improve designer's decision-making efficiency and design qualified lightweight structural solutions in AM. The method uses CSG technology to generate topology geometries with smooth boundaries and parametric control, searches for optimal solutions using a genetic algorithm, and presents a set of finite optimal design solutions for further decision-making.
ADDITIVE MANUFACTURING
(2021)
Article
Engineering, Multidisciplinary
Xiaojun Wang, Jiazheng Zhu, Bowen Ni
Summary: This article introduces a reliability-based structural optimization method and proposes a credible sequential optimization strategy. By quantifying credibility and establishing a reliability index, this method significantly improves the computational efficiency of the optimization process while maintaining a high level of credibility for structural parameters. Engineering examples are used to emphasize the necessity of considering credibility in structural optimization methods.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Computer Science, Artificial Intelligence
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
Summary: CSGNet is a deep network architecture that converts 2D or 3D shapes into CSG programs for modeling. It uses convolutional encoder, recurrent decoder, and stack augmentation to improve the reconstruction quality and learning efficiency. CSGNet is also more effective as a shape primitive detector compared to other methods.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Article
Chemistry, Physical
Wei W. Xing, Akeel A. Shah, Guohao Dai, Ziyang Zhang, Ting Guo, Hong Qiu, Puiki Leung, Qian Xu, Xun Zhu, Qiang Liao
Summary: We developed a multi-fidelity surrogate modelling approach for optimizing solid oxide fuel cell (SOFC) performance. The surrogate model provides detailed spatial information and can accurately predict spatially distributed quantities. It allows for flexible selection of objectives and can optimize the performance in a fraction of the time required by the full model.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Engineering, Civil
Peng Wei, Yang Liu, Jian-Guo Dai, Zuyu Li, Yufeng Xu
Summary: This paper utilizes a structural topology optimization method to achieve modular design for maximizing stiffness in structures. By incorporating symmetry and pattern repetition (SPR) constraints and finite element-based numerical analysis, modular design of a structure can be obtained, allowing for the realization of Modular Integrated Construction (MIC).
Article
Computer Science, Software Engineering
Xingyi Du, Qingnan Zhou, Nathan Carr, Tao Ju
Summary: The novel representation of solid models, Boundary-Sampled Halfspaces (BSH), constructs solid shapes from a set of halfspaces using sparsely placed samples on the boundary of each halfspace. This method offers greater agility and expressiveness than Constructive Solid Geometry (CSG), while also simplifying the reverse engineering process through theoretical properties and practical algorithms for boundary extraction and conversion from other representations, as demonstrated in 2D and 3D examples.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Mechanics
Ying Zhou, Hao Li, Xiaopeng Li, Liang Gao
Summary: This paper presents a systematic optimization design method for multiphase auxetic metamaterials with different deformation mechanisms in both 2D and 3D scenarios. The method utilizes the parametric color level set (PCLS) to accurately describe the microstructures of different material phases and handles multiple material usage constraints efficiently. The design sensitivities are analyzed using the shape derivative theory, and the effective elasticity properties of multiphase composites are evaluated using the numerical homogenization method. Various symmetric conditions are imposed to induce re-entrant and chiral patterns in the metamaterials. The proposed method is demonstrated through numerical examples to tailor different types of multiphase auxetics.
COMPOSITE STRUCTURES
(2022)
Article
Engineering, Multidisciplinary
Fusheng Qiu, Hongliang Liu, Hongjuan Zhao
Summary: This paper proposes a feature modeling approach for 3D structural topology design optimization with feature constraints. The method is flexibly applied to structural design optimization with added holes by changing constraint factors, enabling more direct and easier design of structures with predetermined features.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2021)
Article
Engineering, Multidisciplinary
Xiaopeng Li, Liang Gao, Ying Zhou, Hao Li
Summary: The proposed hybrid level set method simultaneously optimizes supporting structure and embedded component positions and orientations. It represents components and supporting structure using explicit and implicit level sets, allowing for smooth geometries and clear interfaces. By using two sets of design variables in a unified optimization loop, the overall design variables are greatly reduced.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Yi Lin, Weidong Zhu, Jiangxiong Li, Yinglin Ke
Summary: This paper proposes a level set method updated with finite difference scheme for structural topology optimization, using piecewise basis function interpolation for velocity field updating and avoiding the need for complicated upwind scheme and time-consuming reinitialization. Diffusion is introduced into the Hamilton-Jacobi equation, and a three-step splitting method is adopted to solve the equation, ensuring the numerical stability of the optimization process.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Civil
Pablo N. Pizarro, Leonardo M. Massone, Fabian R. Rojas, Rafael O. Ruiz
Summary: This research proposes a framework based on convolutional neural network models to generate the final engineering floor plan by considering architectural data, aiming to accelerate the early conceptual design of building wall layouts.
ENGINEERING STRUCTURES
(2021)
Article
Engineering, Multidisciplinary
Cong Wang, Yi Min Xie, Xiaoshan Lin, Shiwei Zhou
Summary: This work uses a parameterized level set function to express the structural profile in structural topology optimization. It minimizes diffusion energy and considers mean compliance under a volume constraint to control structural complexity. The design variables are updated using finite element analysis by solving the reaction-diffusion equation. The proposed method accurately calculates the Lagrangian multiplier of the volume constraint and demonstrates high efficiency in optimizing structures.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Thermodynamics
Xiaoqiang Xu, Xianfeng David Gu, Shikui Chen
Summary: This paper proposes a design method for thermal cloaks using level-set-based shape and topology optimization. The distribution of bulk heat conductive materials is optimized to eliminate the temperature disturbance caused by the introduction of an insulator into a homogeneous thermal conduction medium. The optimized thermal cloaks are free of high anisotropy and nonhomogeneity commonly seen in other methods. Rating: 8 points
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Computer Science, Software Engineering
Caigui Jiang, Chengcheng Tang, Hans-Peter Seidel, Renjie Chen, Peter Wonka
Summary: This paper presents two main ideas to improve truss design: an alternating linear programming problem for geometry optimization, and two sets of complementary topological operations. These ideas form an efficient computational framework for designing lightweight trusses, achieving smaller volumes and faster results compared to recent approaches.
COMPUTER-AIDED DESIGN
(2021)
Article
Engineering, Civil
Pablo N. Pizarro, Leonardo M. Massone
Summary: The research developed a structural design platform for predicting the thickness and length of reinforced concrete walls based on previous architectural and engineering projects, using a deep neural network. By surveying the architectural and engineering plans for 165 buildings in Chile, a database was generated with the geometric and topological definition of walls and slabs, training a model for wall thickness and length regression.
ENGINEERING STRUCTURES
(2021)
Article
Engineering, Multidisciplinary
Mingdong Zhou, Boyan S. Lazarov, Fengwen Wang, Ole Sigmund
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2015)
Article
Computer Science, Interdisciplinary Applications
Yangjun Luo, Michael Yu Wang, Mingdong Zhou, Zichen Deng
COMPUTERS & STRUCTURES
(2015)
Article
Engineering, Multidisciplinary
Mingdong Zhou, Boyan S. Lazarov, Ole Sigmund
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2017)
Article
Computer Science, Interdisciplinary Applications
Mingdong Zhou, Joe Alexandersen, Ole Sigmund, Claus B. W. Pedersen
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2016)
Article
Computer Science, Interdisciplinary Applications
Mingdong Zhou, Haojie Lian, Ole Sigmund, Niels Aage
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
(2018)
Article
Thermodynamics
Xi Zhao, Mingdong Zhou, Ole Sigmund, Casper Schousboe Andreasen
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2018)
Article
Computer Science, Interdisciplinary Applications
Xi Zhao, Mingdong Zhou, Yichang Liu, Mao Ding, Ping Hu, Ping Zhu
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2019)
Article
Engineering, Multidisciplinary
Michael Yu Wang, Hongming Zong, Qingping Ma, Ye Tian, Mingdong Zhou
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2019)
Article
Engineering, Multidisciplinary
Mingdong Zhou, Yichang Liu, Zhongqin Lin
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2019)
Article
Computer Science, Interdisciplinary Applications
Yichang Liu, Mingdong Zhou, Chuang Wei, Zhongqin Lin
Summary: This paper presents a density-based topology optimization approach for designing self-supporting and lightweight infill structures with efficient mechanical properties for enclosed structural shells. By introducing new overhang and localized volume constraints, effective design of infill structures is achieved while avoiding impractical design solutions.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Multidisciplinary
Mingdong Zhou, Da Geng
Summary: This study presents a concurrent multi-scale and multi-material topology optimization approach for designing cellular structures with cooling channels for efficient thermal shielding and load carrying capabilities. The method considers a coupled thermofluidic and mechanical model with design-dependent thermal convection and employs a multi-material interpolation scheme based on the Porous Anisotropic Material with Penalization. The optimized designs demonstrate better thermomechanical behaviors due to the larger design freedom of the multi-scale composite configuration.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Mingdong Zhou, Yufan Lu, Yichang Liu, Zhongqin Lin
Summary: This paper presents a systematic design optimization approach for shells with self-supporting infills for Additive Manufacturing (AM). The design workflow involves concurrent Topology Optimization (TO) of the shells and infills, with a focus on overhang control and manufacturability requirements. By utilizing a density based TO approach and a two-field based formulation, the optimized infills can support the shells and meet mechanical properties regardless of voxel granularity.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Da Geng, Chuang Wei, Yichang Liu, Mingdong Zhou
Summary: This paper proposes a concurrent topology optimization approach for the design of multi-scale fluid channels, inlets, and outlets to enhance cooling capabilities. The analysis is based on a low-cost thermofluidic model using the Darcy model to simulate fluid flow. A novel boundary-based penalty approach is employed for continuous layout optimization of inlets and outlets. Numerical homogenization is used to predict the effective properties of predefined micro-channel unit cells, while surrogate models are established to characterize effective properties at the sub-level scale. Numerical examples demonstrate that the optimized multi-scale channels exhibit superior cooling performances compared to mono-scale channels with the same pressure drop, and the concurrent design of mono-scale channels, inlets, and outlets results in a lower pressure drop than predefined designs.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Yufan Lu, Hongjiang Mao, Mingdong Zhou
Summary: This paper presents a systematic design approach of conceptually forming a lightweight electric vehicle (EV) chassis topology integrated with distributed load-bearing batteries. A deformable feature description function is proposed to describe cell features with desirable layouts and dimensions. Multiple cells enclosed by reinforced shells are integrated into a unified battery set using Boolean operation and a gradient-norm method. The proposed approach demonstrates better comprehensive mechanical properties for an EV chassis with distributed various specification batteries compared to a chassis with centralized uniform specification batteries.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Da Geng, Mingdong Zhou
Summary: This paper presents an ad hoc algorithm to control the pressure loss of the optimized flow in cooling channel design. A Darcy flow based topology optimization approach is employed to design 2D cooling channels, which are further translated into 3D cooling plates. Numerical examples show that an optimized 3D cooling channel topology that meets the allowable pressure drop can be obtained efficiently.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Review
Computer Science, Software Engineering
Xiaoqun Dai, Yan Hong
Summary: The primary objective of this research is to enhance the understanding of fabric mechanical behaviors, measurement techniques, and parameters essential for cloth simulation. The findings and information presented herein can be effectively utilized to enhance the precision and fidelity of apparel CAD systems, thereby facilitating advancements in virtual garment design and production.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Zhen-Pei Wang, Brian N. Cox, Shemuel Joash Kuehsamy, Mark Hyunpong Jhon, Olivier Sudre, N. Sridhar, Gareth J. Conduit
Summary: Three-dimensional non-periodic woven composite preforms have great design flexibility, but the design space is too large. This paper proposes a Background Vector Method (BVM) for generating candidate designs that can adapt to local architecture and global design goals while ensuring fabricability. Examples are provided to illustrate the design scope and speed of the BVM, as well as pathways for incorporating it into optimization algorithms.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Mohammad Mahdi Behzadi, Jiangce Chen, Horea T. Ilies
Summary: This paper proposes an approach to enhance the topological accuracy of machine learning-based topology optimization methods. The approach utilizes a predicted dual connectivity graph to improve the connectivity of the predicted designs. Experimental results show that the proposed method significantly improves the connectivity of the final predicted structures.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Jiaze Li, Shengfa Wang, Eric Paquette
Summary: In this study, a texture-driven adaptive mesh refinement method is proposed to generate high-quality 3D reliefs. By conducting feature-preserving adaptive sampling of the texture contours and using constraint-driven and feature-adaptive mesh subdivision, the method is able to accurately follow the texture contours and maintain good polygon quality.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Xi Zou, Sui Bun Lo, Ruben Sevilla, Oubay Hassan, Kenneth Morgan
Summary: This work presents a new method for generating triangular surface meshes in three dimensions for the NURBS-enhanced finite element method. The method allows for triangular elements that span across multiple NURBS surfaces, while maintaining the exact representation of the CAD geometry. This eliminates the need for de-featuring complex watertight CAD models and ensures compliance with user-specified spacing function requirements.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Ulderico Fugacci, Chiara Romanengo, Bianca Falcidieno, Silvia Biasotti
Summary: This paper proposes a method for suitably resampling a 3D point cloud while preserving the feature curves to which some points belong. The method enriches the cloud by approximating curvilinear profiles and allows for point removal or insertion without affecting the approximated profiles. The effectiveness of the method is evaluated through experiments and comparisons.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
J. Hinz, O. Chanon, A. Arrigoni, A. Buffa
Summary: The objective of this study is to address the difficulty of simplifying a geometric model while maintaining the accuracy of the solution. A goal-oriented adaptive strategy is proposed to reintroduce geometric features in regions with significant impact on the quantity of interest. This approach enables faster and more efficient simulations.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Hao Qiu, Yixiong Feng, Yicong Gao, Zhaoxi Hong, Jianrong Tan
Summary: Sandwich panels with excellent mechanical properties are widely used, and kirigami-inspired structural designs are receiving increasing attention. In this study, novel graded self-locking kirigami panels based on a tucked-interleaved pattern are developed and analyzed. The experimental and simulation results demonstrate that the proposed kirigami panels have outstanding load-to-weight ratios and can generate graded stiffness and superior specific energy absorption.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Zheng Zhan, Wenping Wang, Falai Chen
Summary: This article proposes a learning based method using a deep neural network to simultaneously parameterize the boundary and interior of a computational domain. The method achieves robust parameterization by optimizing a loss function and fitting a tensor-product B-spline function. Experimental results demonstrate that the proposed approach yields parameterization results with lower distortion and higher bijectivity ratio.
COMPUTER-AIDED DESIGN
(2024)
