Article
Environmental Sciences
Thomas Lowe, Joshua Pinskier
Summary: Generating accurate digital tree models from scanned environments is valuable for various outdoor industries. We propose a general method for extracting the branch structure of trees from point cloud data, which estimates the structure by adapting structural topology optimization methods.
Article
Engineering, Multidisciplinary
Yingjun Wang, Mi Xiao, Zhaohui Xia, Peigen Li, Liang Gao
Summary: This paper proposes a novel design mode, called human-aided design (HAD), to replace conventional computer-aided design (CAD). In HAD, computers can automatically complete product design using a new isogeometric topology optimization (ITO), while humans assist in making slight modifications. An embedded domain ITO is introduced for designing complex models with irregular domains, and editable geometric models of optimized results can be generated automatically. Experimental results on three different examples demonstrate the potential of the HAD mode to deliver high-quality optimized models, suggesting it as a revolutionary technology to transform the current design mode.
Article
Physics, Applied
Thi Ha Kyaw, Tim Menke, Sukin Sim, Abhinav Anand, Nicolas P. D. Sawaya, William D. Oliver, Gian Giacomo Guerreschi, Alan Aspuru-Guzik
Summary: As quantum processors grow in size, the design of quantum hardware becomes more challenging, requiring the use of existing quantum computers to design and test the performance of next-generation quantum hardware.
PHYSICAL REVIEW APPLIED
(2021)
Article
Chemistry, Physical
Chao-Min Huang, Anjelica Kucinic, Joshua A. Johnson, Hai-Jun Su, Carlos E. Castro
Summary: Recent studies have shown that integrating molecular dynamics-based computer-aided engineering with computer-aided design allows for the rapid construction of large three-dimensional DNA assemblies with control over their geometry, mechanics, and dynamics, expanding the scope of structural complexity and design capabilities for DNA assemblies.
Article
Chemistry, Multidisciplinary
Enrico Dalpadulo, Fabio Pini, Francesco Leali
Summary: The use of Topology Optimization techniques in Additive Manufacturing has seen significant development in the past decade. Research aims to bridge the gap between theory and practice by evolving approaches, workflows, and design software. The proposed method for assessing computer-aided design tools can help in selecting and adopting tools for industrial settings embracing Additive Manufacturing.
APPLIED SCIENCES-BASEL
(2021)
Article
Construction & Building Technology
Anna Stefanska, Wieslaw Rokicki
Summary: The search for the structural form of reticulated roofs is significant in interdisciplinary Architectural Design optimization. The study concludes that implementing the manufacturing method of the chosen type of gridshells divisions into the architectural design optimization enhances the resulting free-form structures at the early design stage. Comparing different geometric shaping methods can help to find the optimal structural divisions.
Article
Chemistry, Physical
Hao Zhou, Fuhai Liu, Jinkai Chen, Junchao Wang, Yun Wu, Jin Chen, Shiyuan Chang, Lianbin Xia, Chi Zhang, Jingyang Jiang, Kang Dong, Chenhao Zhang, Lingling Sun, Weipeng Xuan, Pengfei Zhao, Hao Jin, Shurong Dong, Jikui Luo
Summary: Developing efficient triboelectric nanogenerators (TENGs) is crucial for their applications. However, the current design processes cannot effectively optimize complex TENG structures. Therefore, a universal computer aided design automation method is proposed to generate optimal power output TENG designs with designated matching resistance. Through simulations and verification, a designed FR-TENG with optimized output power and impedance is used in a self-powered wireless environmental monitoring system.
Article
Automation & Control Systems
Marcus Watson, Martin Leary, David Downing, Milan Brandt
Summary: A generative design methodology is proposed to solve for minimum volume and compliance space-frame systems, taking into account stress and buckling constraints. This is achieved by exploring the solution space through formal topology optimization routines and converting voxelized topology optimization solutions into skeletonized connectivity representations. The proposed method generates high-performing solutions efficiently and automatically, providing designers with a range of options to choose from. The research also identifies limitations in the parameterization process and the resolution of topology optimization simulations.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Marcus Watson, Martin Leary, Milan Brandt
Summary: Generative design automates component design, reducing lead times and improving efficiency. Topology optimization and shape optimization are suitable for automatic design phases, but challenges in parameterization hinder tool integration. A novel parameterization method is proposed to address this challenge, achieving automated design processes.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Mathematics
Martin Straka
Summary: This article discusses two methods for calculating the location of a point on a surface, one using traditional iterative methods and the other using an author-created expert system. The results show that high-precision location solutions can be obtained through the 32nd and 6th iterations respectively.
Article
Engineering, Multidisciplinary
Weisheng Zhang, Yue Wang, Sung-Kie Youn, Xu Guo
Summary: This study proposes a sketch-guided topology optimization approach based on machine learning, which incorporates computer sketches as constraint functions to improve the efficiency of computer-aided structural design models and meet the design intention and requirements of designers.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Review
Chemistry, Multidisciplinary
Tiago P. Ribeiro, Luis F. A. Bernardo, Jorge M. A. Andrade
Summary: This article critically analyses scientific publications from 2015 to 2020, focusing on the recent applications of Topology Optimisation in structural steel design and design for Additive Manufacturing. The discussion delves into recent approaches, methods, and fields of application of Topology Optimisation, as well as identifying recent developments and research trends.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Chemical
Jia Wen Chong, Lik Yin Ng, Omar Anas Aboagwa, Suchithra Thangalazhy-Gopakumar, Kasturi Muthoosamy, Nishanth G. Chemmangattuvalappil
Summary: The major obstacle in using pyrolysis bio-oil as biofuel is its low heating value, high viscosity, and non-homogeneity. Solvent addition is a practical approach in upgrading bio-oil, but the high production cost of solvents is a challenge. By employing a computer-aided molecular design approach, feasible solvent candidates can be generated to improve biofuel properties while reducing costs.
Article
Engineering, Biomedical
Daofeng Wang, Lin Han, Gaoxiang Xu, Wupeng Zhang, Hua Li, Cheng Xu, Huanyu Li, Jitian Li, Hao Zhang, Jiantao Li
Summary: This study designed a new method using 3D printing and CAD for bone biomechanical study and verified the accuracy of osteotomy. This method is expected to achieve homogeneity and standardization of osteotomy in bone biomechanical study.
INTERNATIONAL JOURNAL OF BIOPRINTING
(2022)
Article
Dentistry, Oral Surgery & Medicine
Samuel R. Lee, Avinash S. Bidra
Summary: With CAD-CAM technology, dental restorations are no longer fabricated in an analog fashion. This article presents a technique to overcome challenges in cross-articulation and overlaying of interim casts in the CAD-CAM workflow, allowing for predictable fabrication of definitive restorations.
JOURNAL OF PROSTHETIC DENTISTRY
(2023)
Article
Engineering, Multidisciplinary
Xiao Xiao, Malcolm Sabin, Fehmi Cirak
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2019)
Article
Engineering, Multidisciplinary
Xiao Xiao, Laurent Buse, Fehmi Cirak
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2019)
Article
Engineering, Multidisciplinary
Qiaoling Zhang, Fehmi Cirak
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2020)
Article
Engineering, Multidisciplinary
Eky Febrianto, Michael Ortiz, Fehmi Cirak
Summary: The paper introduces smooth high-order basis functions for partitions consisting of convex polytopes, improving the approximation properties of the finite element method. These basis functions are defined as convolutions of local approximants with mollifiers, and their convergence is governed by the local polynomial approximation order and mollifier smoothness.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Mark Girolami, Eky Febrianto, Ge Yin, Fehmi Cirak
Summary: This paper introduces a novel statistical approach to incorporate measurement data into finite element models, adopting a Bayesian framework to address uncertainties and establishing a hierarchical statistical model.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Xiao Xiao, Fehmi Cirak
Summary: This study introduces a novel approach to optimize lattice-skin structures, taking into account the coupling of lattice and skin, and optimizing both shape and infill by computing gradients, suitable for nonperiodic, nonuniform lattice structures.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Sumudu Herath, Xiao Xiao, Fehmi Cirak
Summary: This study employs a two-scale homogenization approach to model knitted membranes as Kirchhoff-Love shells on the macroscale and Euler-Bernoulli rods on the microscale to obtain stress responses. By using a pretrained statistical Gaussian process regression (GPR) model to map macroscopic deformations to stresses, nonlinear microscale problems are effectively addressed. Several examples involving membranes subjected to tension and shear are introduced to demonstrate the versatility and good performance of the proposed approach after verifying and validating its components.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Jan Povala, Ieva Kazlauskaite, Eky Febrianto, Fehmi Cirak, Mark Girolami
Summary: Inverse problems involving partial differential equations (PDEs) are commonly used in science and engineering. While Markov Chain Monte Carlo (MCMC) has been the go-to method for sampling from posterior probability measures, it is computationally infeasible for large-scale problems. Variational Bayes (VB) has emerged as a more computationally tractable alternative, approximating posterior distributions with simpler trial distributions. This work presents a flexible and efficient approach to solving inverse problems using VB methods.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Kim Jie Koh, Deepesh Toshniwal, Fehmi Cirak
Summary: The paper presents a simple partition of unity construction that yields smooth blended B-splines (SB-splines) on semi-structured quadrilateral and hexahedral meshes, providing smooth and optimally convergent isogeometric analysis basis functions.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Aerospace
Arion Pons, Fehmi Cirak
Summary: This study demonstrates how biomimetic morphing-wing UAVs can achieve complex slow-timescale nose-pointing-and-shooting maneuvers. Biomimetic mechanisms provide strategies for further exploration and guidance of classical and nonclassical supermaneuverability in aircraft.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2023)
Article
Computer Science, Artificial Intelligence
Eky Febrianto, Liam Butler, Mark Girolami, Fehmi Cirak
Summary: This paper demonstrates the application of the statistical finite element method in developing a digital twin of a self-sensing structure. Using captured strain data, the digital twin can predict the true response of a steel railway bridge and generate reasonable predictions at locations without measurement data.
DATA-CENTRIC ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Akshay J. Thomas, Mateusz Jaszczuk, Eduardo Barocio, Gourab Ghosh, Ilias Bilionis, R. Byron Pipes
Summary: We propose a physics-guided transfer learning approach to predict the thermal conductivity of additively manufactured short-fiber reinforced polymers using micro-structural characteristics obtained from tensile tests. A Bayesian framework is developed to transfer the thermal conductivity properties across different extrusion deposition additive manufacturing systems. The experimental results demonstrate the effectiveness and reliability of our method in accounting for epistemic and aleatory uncertainties.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Zhen Zhang, Zongren Zou, Ellen Kuhl, George Em Karniadakis
Summary: In this study, deep learning and artificial intelligence were used to discover a mathematical model for the progression of Alzheimer's disease. By analyzing longitudinal tau positron emission tomography data, a reaction-diffusion type partial differential equation for tau protein misfolding and spreading was discovered. The results showed different misfolding models for Alzheimer's and healthy control groups, indicating faster misfolding in Alzheimer's group. The study provides a foundation for early diagnosis and treatment of Alzheimer's disease and other misfolding-protein based neurodegenerative disorders using image-based technologies.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jonghyuk Baek, Jiun-Shyan Chen
Summary: This paper introduces an improved neural network-enhanced reproducing kernel particle method for modeling the localization of brittle fractures. By adding a neural network approximation to the background reproducing kernel approximation, the method allows for the automatic location and insertion of discontinuities in the function space, enhancing the modeling effectiveness. The proposed method uses an energy-based loss function for optimization and regularizes the approximation results through constraints on the spatial gradient of the parametric coordinates, ensuring convergence.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Bodhinanda Chandra, Ryota Hashimoto, Shinnosuke Matsumi, Ken Kamrin, Kenichi Soga
Summary: This paper proposes new and robust stabilization strategies for accurately modeling incompressible fluid flow problems in the material point method (MPM). The proposed approach adopts a monolithic displacement-pressure formulation and integrates two stabilization strategies to ensure stability. The effectiveness of the proposed method is validated through benchmark cases and real-world scenarios involving violent free-surface fluid motion.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Chao Peng, Alessandro Tasora, Dario Fusai, Dario Mangoni
Summary: This article discusses the importance of the tangent stiffness matrix of constraints in multibody systems and provides a general formulation based on quaternion parametrization. The article also presents the analytical expression of the tangent stiffness matrix derived through linearization. Examples demonstrate the positive effect of this additional stiffness term on static and eigenvalue analyses.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Thibaut Vadcard, Fabrice Thouverez, Alain Batailly
Summary: This contribution presents a methodology for detecting isolated branches of periodic solutions to nonlinear mechanical equations. The method combines harmonic balance method-based solving procedure with the Melnikov energy principle. It is able to predict the location of isolated branches of solutions near families of autonomous periodic solutions. The relevance and accuracy of this methodology are demonstrated through academic and industrial applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Weisheng Zhang, Yue Wang, Sung-Kie Youn, Xu Guo
Summary: This study proposes a sketch-guided topology optimization approach based on machine learning, which incorporates computer sketches as constraint functions to improve the efficiency of computer-aided structural design models and meet the design intention and requirements of designers.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Leilei Chen, Zhongwang Wang, Haojie Lian, Yujing Ma, Zhuxuan Meng, Pei Li, Chensen Ding, Stephane P. A. Bordas
Summary: This paper presents a model order reduction method for electromagnetic boundary element analysis and extends it to computer-aided design integrated shape optimization of multi-frequency electromagnetic scattering problems. The proposed method utilizes a series expansion technique and the second-order Arnoldi procedure to reduce the order of original systems. It also employs the isogeometric boundary element method to ensure geometric exactness and avoid re-meshing during shape optimization. The Grey Wolf Optimization-Artificial Neural Network is used as a surrogate model for shape optimization, with radar cross section as the objective function.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
C. Pilloton, P. N. Sun, X. Zhang, A. Colagrossi
Summary: This paper investigates the smoothed particle hydrodynamics (SPH) simulations of violent sloshing flows and discusses the impact of volume conservation errors on the simulation results. Different techniques are used to directly measure the particles' volumes and stabilization terms are introduced to control the errors. Experimental comparisons demonstrate the effectiveness of the numerical techniques.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Ye Lu, Weidong Zhu
Summary: This work presents a novel global digital image correlation (DIC) method based on a convolution finite element (C-FE) approximation. The C-FE based DIC provides highly smooth and accurate displacement and strain results with the same element size as the usual finite element (FE) based DIC. The proposed method's formulation and implementation, as well as the controlling parameters, have been discussed in detail. The C-FE method outperformed the FE method in all tested examples, demonstrating its potential for highly smooth, accurate, and robust DIC analysis.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Mojtaba Ghasemi, Mohsen Zare, Amir Zahedi, Pavel Trojovsky, Laith Abualigah, Eva Trojovska
Summary: This paper introduces Lung performance-based optimization (LPO), a novel algorithm that draws inspiration from the efficient oxygen exchange in the lungs. Through experiments and comparisons with contemporary algorithms, LPO demonstrates its effectiveness in solving complex optimization problems and shows potential for a wide range of applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jingyu Hu, Yang Liu, Huixin Huang, Shutian Liu
Summary: In this study, a new topology optimization method is proposed for structures with embedded components, considering the tension/compression asymmetric interface stress constraint. The method optimizes the topology of the host structure and the layout of embedded components simultaneously, and a new interpolation model is developed to determine interface layers between the host structure and embedded components.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Qiang Liu, Wei Zhu, Xiyu Jia, Feng Ma, Jun Wen, Yixiong Wu, Kuangqi Chen, Zhenhai Zhang, Shuang Wang
Summary: In this study, a multiscale and nonlinear turbulence characteristic extraction model using a graph neural network was designed. This model can directly compute turbulence data without resorting to simplified formulas. Experimental results demonstrate that the model has high computational performance in turbulence calculation.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jacinto Ulloa, Geert Degrande, Jose E. Andrade, Stijn Francois
Summary: This paper presents a multi-temporal formulation for simulating elastoplastic solids under cyclic loading. The proper generalized decomposition (PGD) is leveraged to decompose the displacements into multiple time scales, separating the spatial and intra-cyclic dependence from the inter-cyclic variation, thereby reducing computational burden.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Utkarsh Utkarsh, Valentin Churavy, Yingbo Ma, Tim Besard, Prakitr Srisuma, Tim Gymnich, Adam R. Gerlach, Alan Edelman, George Barbastathis, Richard D. Braatz, Christopher Rackauckas
Summary: This article presents a high-performance vendor-agnostic method for massively parallel solving of ordinary and stochastic differential equations on GPUs. The method integrates with a popular differential equation solver library and achieves state-of-the-art performance compared to hand-optimized kernels.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)