Article
Engineering, Civil
Jiaming Ma, Yunzhen He, Zi-Long Zhao, Yi Min Xie
Summary: A mapping constraint optimization approach is developed to design ribbed slabs and shells, which can produce designs with higher performance and without isolated ribs compared to conventional methods. The approach is integrated into three optimization methods and used to design both flat slabs and curved shells. Several numerical examples are used to demonstrate the effectiveness of the new approach. The findings of this study have potential applications in the design of aesthetically pleasing and structurally efficient ribbed slabs and shells.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Paulo U. Silva, Rayanne E. L. Pereira, Gustavo Bono
Summary: Nowadays, with the increasing verticality of urban centers, architects and engineers need more efficient tools to analyze the effects of wind on tall buildings. This study used Computational Fluid Dynamics to obtain wind loads on a specific building, and compared the optimization results using two methods, SIMP and BESO. The results showed that the BESO method produced more rigid structures, while the SIMP method was less susceptible to the methodology used for determining wind loads.
STRUCTURAL ENGINEERING AND MECHANICS
(2023)
Article
Chemistry, Physical
Shuangyuan Cao, Hanbin Wang, Jianbin Tong, Zhongqi Sheng
Summary: This study proposes a method that combines bi-directional evolutionary structural optimization with topological sensitivity to address the issue of hole nucleation in level set topology optimization. The method removes material from the design domain based on defined sensitivity thresholds to nucleate holes.
Article
Mathematics, Applied
Asher Zarth, Fabian Klemens, Gudrun Thater, Mathias J. Krause
Summary: A flexible framework for shape optimisation using lattice Boltzmann methods for incompressible Newtonian fluids is proposed. The method utilizes line search methods for optimization problems and obtains design sensitivities through forward propagation automatic differentiation. The approach models fluid flow problems using homogenised lattice Boltzmann methods with varying permeability to propagate derivative information at parametrised boundaries.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2021)
Article
Thermodynamics
Ji-Wang Luo, Li Chen, ZiHan Wang, WenQuan Tao
Summary: This paper presents a topology optimization method for thermal cloak design based on the adjoint lattice Boltzmann method and the level-set method. The method is efficient and scalable, and has been applied to design a thermal cloak using common isotropic bulk materials. The results demonstrate the effectiveness, robustness, and flexibility of the method in practical thermal cloak design.
APPLIED THERMAL ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Pei Zhang, Siqi Sun, Yilin Chen, S. A. Galindo-Torres, Weicheng Cui
Summary: This study introduces a hybrid 3D model combining LBM and MPM for FSI with large structural deformations and turbulent flows. The model is validated and tested, showing good agreement and potential future applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Zihao Zong, Tielin Shi, Qi Xia
Summary: A parameter-free approach inspired by the BESO method is proposed to determine the Lagrange multiplier for material volume constraint in the level set method. This approach is effective, stable, and convenient to use, with no need for parameters.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Ji-Wang Luo, Li Chen, Yang Xia, Xinjian Zheng, Wen-Quan Tao
Summary: In this work, a level-set based topology optimization method is developed for optimizing the distribution of porous metal foam in a fully-coupled natural convection system. Validations are conducted for the forward lattice Boltzmann (LB) model and the topology optimization (TO) method. The optimized designs of a two-dimensional passive heat sink made of metal foam show significant heat transfer enhancement while using less material compared to conventional designs, and three-dimensional structures further verify the superiority of the TO method with lower temperatures achieved.
COMPUTERS & FLUIDS
(2023)
Article
Mathematics, Applied
Takashi Yodono, Kentaro Yaji, Takayuki Yamada, Kozo Furuta, Kazuhiro Izui, Shinji Nishiwaki
Summary: In this paper, a topology optimization method for isotropic linear elastic body problems using LBM is proposed. The analysis approach of the isotropic linear elastic field using LBM is constructed by incorporating the expansion technique of the governing equations. The design sensitivity is derived using the adjoint lattice Boltzmann method. The validity of the proposed method is demonstrated with numerical examples.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Simon Thomas, Qing Li, Grant Steven
Summary: This study proposes a new approach for designing finite periodic structures by allowing variable orientation states of individual unit-cells. Incorporating assembly flexibility within periodic topology optimization greatly expands the design space and enhances the advantage of structural periodicity. The new approach has been demonstrated to outperform traditional non-oriented periodic structures in both static and vibratory criteria.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Mechanics
Zhenyu Ouyang, Jianzhong Lin
Summary: The hydrodynamic behavior of a two-dimensional elongated micro-swimmer in a bulk fluid was studied using numerical methods. The study found that the swimming speed and power expenditure of different types of swimmers varied depending on their structures and the flow conditions.
Article
Mathematics, Applied
D. L. Lanznaster, P. B. de Castro, H. Emmendoerfer, P. T. R. Mendonca, E. C. N. Silva, E. A. Fancello
Summary: The study employs a topology optimization procedure based on the level-set method to solve inverse problems in acoustic wave propagation, identifying the location and shape of obstacles within a background medium. Results show that the distribution of sources and receivers significantly influences the solution, and avoiding the inverse crime worsens performance.
Article
Mathematics, Applied
Suqiong Xie, Kentaro Yaji, Toru Takahashi, Hiroshi Isakari, Masato Yoshino, Toshiro Matsumoto
Summary: This paper introduces a topology optimization method for flow channel design using the lattice kinetic scheme (LKS), which requires less storage space compared to the lattice Boltzmann method and can impose macroscopic boundary conditions directly. The optimization is based on the gradient of the objective functional with respect to the design variables and the design sensitivity is computed using the adjoint variable method.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2021)
Article
Computer Science, Software Engineering
Osezua Ibhadode, Zhidong Zhang, Ali Bonakdar, Ehsan Toyserkani
Summary: This study introduces a framework, named IbIPP, that utilizes input images for 2D topology optimization and post-processes the results into STL models for direct use in additive manufacturing technologies. Numerical examples demonstrate the effectiveness of this tool.
Article
Computer Science, Interdisciplinary Applications
Jorge L. Barrera, Markus J. Geiss, Kurt Maute
Summary: The level set topology optimization approach utilizes an auxiliary density field to nucleate holes and achieve minimum feature size control. The method involves governing two sets of independent optimization variables, gradually increasing density field penalization and projection during the optimization process to promote a 0-1 density distribution, and regulating the evolution of the density field in the void phase.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Acoustics
P. Cheema, M. Makki Alamdari, G. A. Vio, F. L. Zhang, C. W. Kim
Summary: The paper presents a novel approach based on DP-GMM for analyzing the stabilization diagram, achieving fully automated modal identification without the need for manual parameter specification. The method is validated to have superior performance, high computational efficiency, and justified new feature vectors.
JOURNAL OF SOUND AND VIBRATION
(2021)
Article
Engineering, Mechanical
Yanan Xu, Yunkai Gao, Chi Wu, Jianguang Fang, Guangyong Sun, Grant P. Steven, Qing Li
Summary: This study develops a topology optimization approach for designing carbon fiber reinforced plastic laminated components to reduce the risk of structural failure. Failure criteria including Hashin, Hoffman, and Tsai-Wu are imposed as design constraints in the optimization process, with Tsai-Wu showing the most significant decrease in the maximum failure index by 40%. The study aims to provide insights into how failure criteria impact the design of fiber reinforced composite structures to ensure structural integrity.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2021)
Article
Biophysics
Chi Wu, Jianguang Fang, Ali Entezari, Guangyong Sun, Michael Swain, Yanan Xu, Grant P. Steven, Qing Li
Summary: A time-dependent mechanobiology-based topology optimization framework is proposed for design of tissue scaffolds to develop an ongoing favorable microenvironment and ensure a long-term outcome for bone regeneration.
JOURNAL OF BIOMECHANICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Chi Wu, Jianguang Fang, Shiwei Zhou, Zhongpu Zhang, Guangyong Sun, Grant P. Steven, Qing Li
Summary: The paper incorporates a phase-field damage model into the topology optimization framework to account for crack initiation and propagation in a path-dependent manner. The proposed approach enhances fracture resistance of structures made of brittle materials and introduces a path-dependent shape derivative to drive the optimization effectively. Three 2D benchmark examples and one 3D biomedical example are studied to demonstrate the effectiveness of the method in improving fracture resistance with more efficient use of materials and reducing stress concentration and fracture risks.
COMPUTERS & STRUCTURES
(2021)
Article
Engineering, Multidisciplinary
Yanan Xu, Yunkai Gao, Chi Wu, Jianguang Fang, Guangyong Sun, Grant P. Steven, Qing Li
Summary: This study introduces a machine learning approach for optimizing fiber orientations in variable stiffness CFRP structures, using neural networks to estimate objective functions and design variable sensitivities. By employing active learning and quasi-global search strategies, the ML-based method shows a 12.62% improvement in structural performance compared to conventional FEA-based methods, offering a new alternative for fiber-reinforced composite design.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2021)
Article
Acoustics
Simon Thomas, Qing Li, Grant Steven
Summary: This study introduces an evolutionary shape optimization methodology for bell design, utilizing axisymmetric bell profiles and a 3D finite element model to formulate an objective function based on desired tuning spectrum. By deriving a pseudo-velocity through sensitivity analysis and iteratively evolving the design, effective tuning of up to twelve partial frequencies is achieved. The proposed method is experimentally validated through fabrication of a prototype bell, showing close correlation of partial frequencies with its computational model.
JOURNAL OF SOUND AND VIBRATION
(2021)
Article
Mathematics, Applied
Aditya Vishwanathan, Gareth A. Vio, Timoleon Kipouros, Geoffrey T. Parks
Summary: The paper investigates the impact of uncertain boundary conditions on topology optimization, demonstrating how to consider uncertainty in BCs in design, and proposes a robust objective using a weighted sum of mean and standard deviation to effectively reduce the variance and worst-case performance of the objective function.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2021)
Article
Chemistry, Multidisciplinary
Szymon Bobek, Slawomir K. Tadeja, Lukasz Struski, Przemyslaw Stachura, Timoleon Kipouros, Jacek Tabor, Grzegorz J. Nalepa, Per Ola Kristensson
Summary: This article presents a refinement of the Immersive Parallel Coordinates Plots (IPCP) system for Virtual Reality (VR). The refined system introduces data-science analytics enhancements, including importance analysis and clustering algorithms, which automate part of the analytical work. The system was tested with two sample datasets and proved to be effective.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Multidisciplinary
Cunyi Li, Jianguang Fang, Chi Wu, Guangyong Sun, Grant Steven, Qing Li
Summary: In this study, a new phase field approach is proposed to analyze the fracture behavior of ductile materials by considering the effects of stress triaxiality and Lode angle, and incorporating phenomenological ductile fracture criteria. The effectiveness of the proposed models is demonstrated through numerical implementation and derivation of analytical homogeneous solutions, and their applicability is further validated through a wide range of stress state examples.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Aerospace
Pakin Champasak, Natee Panagant, Nantiwat Pholdee, Gareth A. Vio, Sujin Bureerat, Betul Sultan Yildiz, Ali Riza Yildiz
Summary: The reliability optimisation methodology is developed to solve a conceptual design problem of a fixed-wing Unmanned Aerial Vehicle (UAV). It uses the MPP concept for reliability quantification, leading to a double-loop optimisation problem. The outer-loop optimisation aims to minimise the aircraft take-off weight and maximise the reliability index, while the inner-loop optimisation estimates the reliability index using MPP. Various metaheuristic algorithms are employed for the optimizations. The study proposes four parameter setting strategies that can reduce runtime and maintain competitive results.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Review
Hospitality, Leisure, Sport & Tourism
Chantelle Jean Rigozzi, Gareth A. Vio, Philip Poronnik
Summary: This systematic review focuses on the applications of wearable technology for player motion analysis in racket sports, with a specific focus on tennis and table tennis. Inertial measurement units and electromyography sensors are the most commonly used sensors in these studies. The analysis of player movement differences at different levels, variability in racket and limb movement patterns, and variations in movement associated with different ball spin levels are the main areas of research. These technologies have the potential to offer personalized training in these sports.
INTERNATIONAL JOURNAL OF SPORTS SCIENCE & COACHING
(2023)
Article
Chemistry, Analytical
Chantelle Jean Rigozzi, Gareth A. Vio, Philip Poronnik
Summary: Upper limb tennis injuries are primarily due to repetitive overuse. A wearable device was developed to measure risk factors associated with elbow tendinopathy in tennis players. Testing the device on experienced and recreational players, it was found that grip strength did not influence shock transfer to the wrist and elbow, and recreational players had higher extensor activity during follow-through, putting them at greater risk for elbow tendinopathy. This study successfully demonstrated the use of wearable technologies in measuring risk factors for elbow injuries in tennis players.
Letter
Primary Health Care
James N. Smith, Louisa Yapp, Timoleon Kipouros
Article
Engineering, Aerospace
Andrea Spinelli, Hossein Balaghi Enalou, Bahareh Zaghari, Timoleon Kipouros, Panagiotis Laskaridis
Summary: A new methodology based on Set-Based Design was introduced to analyze the effects of energy management strategies on fuel consumption, NOx emissions, and take-off mass of a hybrid-electric aircraft. The study revealed that the hybridized flight phases have a significant impact on the system behavior, with the longest mission phase hybridization leading to the lowest fuel consumption and more hybridized phases resulting in reduced NOx emissions. Three energy management strategies were suggested, achieving up to a 10% reduction in fuel consumption and up to a 15% reduction in NOx emissions.
Article
Hospitality, Leisure, Sport & Tourism
Chantelle Rigozzi, Jeremy Cox, Gareth A. Vio, William L. Martens, Philip Poronnik
Summary: This study explored the impact of different forehand spin levels on forearm muscle activity in tennis players, with results indicating that using topspin shots may help reduce the risk of developing lateral elbow tendinopathy.
INTERNATIONAL JOURNAL OF SPORTS SCIENCE & COACHING
(2022)
Article
Mathematics, Applied
Guo Zheng, Zengqiang Cao, Yuehaoxuan Wang, Reza Talemi
Summary: This study introduces two novel methods for predicting the fatigue response of Dynamic Cold Expansion (DCE) and Static Cold Expansion (SCE) open-hole plates. The accuracy of the prediction is enhanced by considering stress distributions and improving existing methods. The study also discusses the mechanisms behind fatigue life enhancement and fatigue crack propagation modes in cold expansion specimens.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Eric Heppner, Tomohiro Sasaki, Frank Trommer, Elmar Woschke
Summary: This paper presents a modeling approach for estimating the bonding strength of friction-welded lightweight structures. Through experiments and simulations, a method for evaluating the bonding strength of friction-welded lightweight structures is developed, and the plausibility and applicability of the model are discussed.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Piermario Vitullo, Alessio Colombo, Nicola Rares Franco, Andrea Manzoni, Paolo Zunino
Summary: Many applications in computational physics involve approximating problems with microstructure, characterized by multiple spatial scales in their data. However, these numerical solutions are often computationally expensive due to the need to capture fine details at small scales. Traditional projection based reduced order models (ROMs) fail to resolve these issues, even for second-order elliptic PDEs commonly found in engineering applications. To address this, we propose an alternative nonintrusive strategy to build a ROM, that combines classical proper orthogonal decomposition (POD) with a suitable neural network (NN) model to account for the small scales.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Chanh Dinh Vuong, Xiaofei Hu, Tinh Quoc Bui
Summary: In this paper, we present a dynamic description of the smoothing gradient-enhanced damage model for the simulation of quasi-brittle failure localization under time-dependent loading conditions. We introduce two efficient rate-dependent damage laws and various equivalent strain formulations to analyze the complicated stress states and inertia effects of the dynamic regime, enhancing the capability of the adopted approach in modeling dynamic fracture and branching.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Alexandre D. C. Amaro, A. Francisca Carvalho Alves, F. M. Andrade Pires
Summary: This study focuses on analyzing various deformation mechanisms that affect the behavior of PC/ABS blends using computational homogenization. By establishing a representative microstructural volume element, defining the constitutive description of the material phases, and modeling the interfaces and matrix damage, accurate predictions can be achieved. The findings have important implications for broader applications beyond PC/ABS blends.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
David Hoffmeyer, A. R. Damanpack
Summary: This paper introduces a method for determining all six stress components for a cantilever-type beam that is subjected to concentrated end loads. The method considers an inhomogeneous cross-section and employs cylindrically orthotropic material properties. The efficacy of the method is validated by numerical examples and a benchmark example, and the analysis on a real sawn timber cross-section reveals significant disparities in the maximum stresses compared to conventional engineering approaches.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Vladimir Stojanovic, Jian Deng, Dunja Milic, Marko D. Petkovic
Summary: The present paper investigates the dynamic analysis of a coupled Timoshenko beam-beam or beam-arch mechanical system with geometric nonlinearities. A modified p-version finite element method is developed for the vibrations of a shear deformable coupled beam system with a discontinuity in an elastic layer. The main contribution of this work is the discovery of coupled effects and phenomena in the simultaneous vibration analysis of varying discontinuity and varying curvature of the newly modelled coupled mechanical system. The analysis results are valuable and have broader applications in the field of solids and structures.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Gihwan Kim, Phill-Seung Lee
Summary: The phantom-node method is applied in the phase field model for mesh coarsening to improve computational efficiency. By recovering the fine mesh in the crack path domain into a coarse mesh, this method significantly reduces the number of degrees of freedom involved in the computation.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Souhail Chaouch, Julien Yvonnet
Summary: In this study, an unsupervised machine learning-based clustering approach is developed to reduce the computational cost of nonlinear multiscale methods. The approach clusters macro Gauss points based on their mechanical states, reducing the problem from macro scale to micro scale. A single micro nonlinear Representative Volume Element (RVE) calculation is performed for each cluster, using a linear approximation of the macro stress. Anelastic macro strains are used to handle internal variables. The technique is applied to nonlinear hyperelastic, viscoelastic and elastoplastic composites.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Hoang-Giang Bui, Jelena Ninic, Christian Koch, Klaus Hackl, Guenther Meschke
Summary: With the increasing demand for underground transport infrastructures, it is crucial to develop methods and tools that efficiently explore design options and minimize risks to the environment. This study proposes a BIM-based approach that connects user-friendly software with effective simulation tools to analyze complex tunnel structures. The results show that modeling efforts and computational time can be significantly reduced while maintaining high accuracy.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Aslan Nasirov, Xiaoyu Zhang, David Wagner, Saikumar R. Yeratapally, Caglar Oskay
Summary: This manuscript presents an efficient model construction strategy for the eigenstrain homogenization method (EHM) for the reduced order models of the nonlinear response of heterogeneous microstructures. The strategy relies on a parallel, element-by-element, conjugate gradient solver, achieving near linear scaling with respect to the number of degrees of freedom used to resolve the microstructure. The linear scaling in the number of pre-analyses required to construct the reduced order model (ROM) follows from the EHM formulation. The developed framework has been verified using an additively manufactured polycrystalline microstructure of Inconel 625.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Atticus Beachy, Harok Bae, Jose A. Camberos, Ramana V. Grandhi
Summary: Emulator embedded neural networks leverage multi-fidelity data sources for efficient design exploration of aerospace engineering systems. However, training the ensemble models can be costly and pose computational challenges. This work presents a new type of emulator embedded neural network using the rapid neural network paradigm, which trains near-instantaneously without loss of prediction accuracy.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Arash Hajisharifi, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
Summary: This paper introduces three reduced order models for reducing computational time in atmospheric flow simulation while preserving accuracy. Among them, the PODI method, which uses interpolation with radial basis functions, maintains accuracy at any time interval.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
D. Munoz, S. Torregrosa, O. Allix, F. Chinesta
Summary: The Proper Generalized Decomposition (PGD) is a Model Order Reduction framework used for parametric analysis of physical problems. It allows for offline computation and real-time simulation in various situations. However, its efficiency may decrease when the domain itself is considered as a parameter. Optimal transport techniques have shown exceptional performance in interpolating fields over geometric domains with varying shapes. Therefore, combining these two techniques is a natural choice. PGD handles the parametric solution while the optimal transport-based methodology transports the solution for a family of domains defined by geometric parameters.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Jothi Mani Thondiraj, Akhshaya Paranikumar, Devesh Tiwari, Daniel Paquet, Pritam Chakraborty
Summary: This study develops a diffused interface CPFEM framework, which reduces computational cost by using biased mesh and provides accurate results using non-conformal elements in the mesh size transiting regions. The accuracy of the framework is confirmed through comparisons with sharp and stepped interface results.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)