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Data-driven discovery of interpretable Lagrangian of stochastically excited dynamical systems Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-05-09 Tapas Tripura, Satyam Panda, Budhaditya Hazra, Souvik Chakraborty
Exploring the intersection of deterministic and stochastic dynamics, this paper delves into Lagrangian discovery for conservative and non-conservative systems under stochastic excitation. Traditional Lagrangian frameworks, adept at capturing deterministic behavior, are extended to incorporate stochastic excitation. The study critically evaluates recent computational methodologies for learning Lagrangians
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Joint-mode diffusion analysis of spectral/hp continuous Galerkin methods: Towards superior dissipation estimates for implicit LES Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-05-09 R.C. Moura, L.D. Fernandes, A.F.C. da Silva, S.J. Sherwin
We present a new linear eigensolution analysis technique that provides superior estimates of dissipation distribution in wavenumber space for the continuous Galerkin (CG) method. The technique builds upon traditional dispersion–diffusion analyses that have been applied to spectral/hp element methods, but in particular is an improvement upon the non-modal eigenanalysis approach proposed by Fernandez
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Gradient preserving Operator Inference: Data-driven reduced-order models for equations with gradient structure Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-05-08 Yuwei Geng, Jasdeep Singh, Lili Ju, Boris Kramer, Zhu Wang
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Automated linear solver selection for simulation of multiphysics processes in porous media Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-05-08 Yury Zabegaev, Eirik Keilegavlen, Einar Iversen, Inga Berre
Porous media processes involve various physical phenomena such as mechanical deformation, transport, and fluid flow. Accurate simulations must capture the strong couplings between these phenomena. Choosing an efficient solver for a multiphysics problem usually entails the decoupling into subproblems related to separate physical phenomena. Then, the suitable solvers for each subproblem and the iteration
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A local multi-layer approach to modelling interactions between shallow water flows and obstructions Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-05-07 James Mckenna, Vassilis Glenis, Chris Kilsby
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Quantized impact of rod on plate J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-05-06 Qing Peng, Xiaoming Liu, Yue-Guang Wei
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Fracture mechanics approach to minimum reinforcement design of fibre-reinforced and hybrid-reinforced concrete beams Int. J. Damage Mech. (IF 4.2) Pub Date : 2024-05-06 Alessio Rubino, Federico Accornero, Alberto Carpinteri
The problem of the minimum reinforcement condition in fibre-reinforced and hybrid-reinforced concrete flexural elements is addressed in the framework of fracture mechanics by means of the Updated Bridged Crack Model (UBCM). The model describes the crack propagation process occurring in the critical cross-section of the reinforced member, by assuming the composite as a multiphase material, whereby the
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A convex cone programming based implicit material point method Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-05-04 Xi-Wen ZHOU, Yin-Fu JIN, Kai-Yuan HE, Zhen-Yu YIN
For conventional Material Point Method (MPM), both explicit-based and implicit-based MPM have shortcomings: explicit MPM has high requirements on time steps, and implicit MPM has high requirements on convergence. To circumvent these limitations, this paper innovatively proposes a convex cone programming-based implicit MPM (CP-MPM) algorithm, which ensures excellent convergence of solving complex problems
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High fatigue performance and microscopic mechanisms of in-situ TiB2/7050Al composite at different temperatures Int. J. Fatigue (IF 6.0) Pub Date : 2024-05-04 Liufang Ma, Xian Luo, Hong Wang, Rui Hu, Xiaowei Yi, Chaoxian Zhou, Wei Chen, Gang Ran
In this work, the fatigue properties of in-situ TiB particle-reinforced 7050 Al-matrix (TiB/7050Al) composites at room temperature (RM), 100 ℃ and 150 ℃ were studied, respectively, and the microstructure changes, fatigue fracture characteristics and fracture mechanism were analyzed. The results indicate that when the fatigue temperature increased, the amount of S phase precipitation along grain boundaries
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Behavior of geometrically-similar Basalt FRP bars-reinforced concrete beams under dynamic torsional loads Int. J. Damage Mech. (IF 4.2) Pub Date : 2024-05-04 Yushuang Lei, Liu Jin, Wenxuan Yu, Xiuli Du
A numerical model utilizing 3D mesoscale simulation methods was developed to investigate the influence of strain rate on the torsional performance of geometrically similar Basalt Fiber Reinforced Polymer bars-reinforced concrete (BFRP-RC) beams, as well as the corresponding size effects. The model incorporates concrete heterogeneity, material strain rate effects, and the dynamic bond-slip relationship
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Contribution of high turbidity to tidal dynamics in a curved channel in Zhoushan Islands, China Eng. Appl. Comput. Fluid Mech. (IF 6.1) Pub Date : 2024-05-02 Li Li, Fangzhou Shen, Zhiguo He, Gangfeng Ma, Jiachen Wang, Kailong Huangfu
The curved tidal channel, Luotou Deep-water Navigational Channel, is the main channel of the Ningbo Zhoushan Port, which is ranked first in the world. Tidal dynamics in the channel are spatially an...
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Data-driven hierarchical multiscale FDEM for simulating rock meso-macro mechanical behavior Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-05-03 Ruifeng Zhao, Zhijun Wu, Xiangyu Xu, Zhiyang Wang
This study presents a data-driven based hierarchical multiscale combined finite-discrete element method (DHM-FDEM) for accurately reproducing rock macro-scale mechanical behavior while ensuring acceptable computational costs. To construct the DHM-FDEM scheme, firstly, upscale finite elements assembly (UFEA) and upscale crack elements assembly (UCEA) are constructed, incorporating meso-scale finite
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Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-05-03 Honghui Du, QiZhi He
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Bayesian conditional diffusion models for versatile spatiotemporal turbulence generation Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-05-03 Han Gao, Xu Han, Xiantao Fan, Luning Sun, Li-Ping Liu, Lian Duan, Jian-Xun Wang
Turbulent flows, characterized by their chaotic and stochastic nature, have historically presented formidable challenges to predictive computational modeling. Traditional eddy-resolved numerical simulations often require vast computational resources, making them impractical or infeasible for numerous engineering applications. As an alternative, deep learning-based surrogate models have emerged, offering
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A novel decoupled approach combining invertible cross-entropy method with Gaussian process modeling for reliability-based design and topology optimization Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-05-03 Thu Van Huynh, Sawekchai Tangaramvong, Bach Do, Wei Gao
Design optimization considering the presence of uncertainties in parameters poses an extremely challenging problem. The source of difficulties comes with reliability-based formulations, where addressing the probabilistic problem exhausts the large computing efforts for failure estimations of the structure violating limit-state functions (LSFs). This paper proposes a novel decoupled approach for effectively
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Detection of early fatigue damage during ultrasonic fatigue testing of steel by acoustic emission monitoring Int. J. Fatigue (IF 6.0) Pub Date : 2024-05-03 M. Seleznev, A. Weidner, H. Biermann
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I too [formula omitted]: A new class of hyperelastic isotropic incompressible models based solely on the second invariant J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-05-03 Ellen Kuhl, Alain Goriely
In contemporary elasticity theory, the strain–energy function predominantly relies on the first invariant of the deformation tensor; a practice that has been influenced by models derived from rubber elasticity. However, this approach may not fully capture the complexities of materials exhibiting pronounced shear deformations, such as very soft biological tissues. Here, we explore the implications and
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Strain energy density and entire fracture surface parameters relationship for LCF life prediction of additively manufactured 18Ni300 steel Int. J. Damage Mech. (IF 4.2) Pub Date : 2024-05-03 Wojciech Macek, Ricardo Branco, Joel de Jesus, José Domingos Costa, Shun-Peng Zhu, Reza Masoudi Nejad, Andrew Gryguć
In this study, the connection between total strain energy density and fracture surface topography is investigated in additively manufactured maraging steel exposed to low-cycle fatigue loading. The specimens were fabricated using laser beam powder bed fusion (LB-PBF) and examined under fully-reversed strain-controlled setup at strain amplitudes scale from 0.3% to 1.0%. The post-mortem fracture surfaces
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A robust finite strain isogeometric solid-beam element Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-05-02 Abdullah Shafqat, Oliver Weeger, Bai-Xiang Xu
In this work, an efficient and robust isogeometric three-dimensional solid-beam finite element is developed for large deformations and finite rotations with merely displacements as degrees of freedom. The finite strain theory and hyperelastic constitutive models are considered and B-Spline and NURBS are employed for the finite element discretization. Similar to finite elements based on Lagrange polynomials
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Prismatic-element SBPML coupled with SBFEM for 3D infinite transient wave problems Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-05-01 Guoliang Zhang, Mi Zhao, Junqi Zhang, Xiuli Du
In this paper, an enhanced prismatic-element scaled boundary perfectly matched layer (SBPML) is developed, which is a novel time-domain artificial boundary method for 3D infinite wave problems. The SBPML permits the utilization of an artificial boundary with general geometry and can consider planar physical surfaces and interfaces extending to infinity. Moreover, this enhancement enables the seamless
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Investigating post-processing impact on fatigue performance of LPBF Ti6Al4V with heat treatment, high pressure heat treatment, and dry electropolishing strategies Int. J. Fatigue (IF 6.0) Pub Date : 2024-05-01 Omar Bologna, Silvia Cecchel, Giovanna Cornacchia, Andrea Avanzini, Raffaele Sepe, Filippo Berto, Nima Razavi
This study investigates the impact of post-processing techniques on the fatigue behaviour of specimens in Ti6Al4V made by laser powder bed fusion (LPBF) for relevant applications, such as motorsport. Despite the LPBF advantages in terms of complex design and weight reduction, challenges such as reduced fatigue performance persist. Therefore, the application of post-processing treatments can play a
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Automatic crack tip localization in enormous DIC images to in-situ characterize high-temperature fatigue crack growth behavior Int. J. Fatigue (IF 6.0) Pub Date : 2024-05-01 Chen Zhang, Mengqi Lei, Yuanxin Chen, Bin Kuang, Shijie Liu, Yanhuai Ding, Qihong Fang, Xiaotian Li, Wei He, Huimin Xie
Digital Image Correlation (DIC), with its advantages of full-field, non-contact and applicability to extreme environments, is a powerful deformation measurement technique to in-situ monitor the high-temperature fatigue crack propagation behavior. For the DIC-based fracture mechanics analyses of cracking, crack tip position in DIC images, which is usually determined visually and manually, plays a significant
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High-cycle and very-high-cycle fatigue of an additively manufactured aluminium alloy under axial cycling at ultrasonic and conventional frequencies Int. J. Fatigue (IF 6.0) Pub Date : 2024-05-01 Xiangnan Pan, Youshi Hong
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Expansion displacement mechanics model of concrete under seawater corrosion Int. J. Damage Mech. (IF 4.2) Pub Date : 2024-05-01 Tingwei Chen, Jinhan Chen, Jiankang Chen, Yunfeng Lv
In this study, the variation in the expansion displacement of concrete samples with different water-cement ratios under five corrosion solutions (single sulfate salt and coupled sulfate-chloride salt) is explored. The expansion displacement evolution of these concrete samples under sulfate corrosion (single salt corrosion) and sulfate-chloride corrosion (double salt corrosion) is comprehensively examined
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Modeling of viscoelastic deformation and rate-dependent fracture damage in rat bone Int. J. Damage Mech. (IF 4.2) Pub Date : 2024-05-01 Santosh Reddy Kommidi, Yong-Rak Kim, Do-Gyoon Kim
Bone is a complex hierarchical structural material whose organ-level response is highly influenced by its constitutive behavior at the microstructural level, which can dictate the inelastic nonlinear deformation and fracture within the organ. In the current study, a combined experimental-computational approach was sought to first obtain the local constitutive properties. Later, a multiscale modeling
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Enhancing the acoustic emission technique using fuzzy artificial bee colony-based deep learning for characterizing selective laser melted AlSi10Mg specimens Int. J. Damage Mech. (IF 4.2) Pub Date : 2024-05-01 Claudia Barile, Caterina Casavola, Dany Katamba Mpoyi, Giovanni Pappalettera, Vimalathithan Paramsamy Kannan
This article presents a classification of Acoustic Emission (AE) signals from AlSi10Mg specimens produced via Selective Laser Melting (SLM). Tensile tests characterized the mechanical properties of specimens printed in different orientations (X, Y, Z, 45°). Initially, a study quantified damage modes based on the stress-strain curve and cumulative AE energy. AE signals for each specimen (X, Y, 45°,
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Phase-field damage simulation of subloop loading in TiNi SMA Int. J. Damage Mech. (IF 4.2) Pub Date : 2024-05-01 Vladimir Dunić, Ryosuke Matsui, Kohei Takeda, Miroslav Živković
In practical applications, TiNi shape memory alloys (SMAs) exhibit behavior that can pose a challenge with current constitutive models and their implementations in finite element method (FEM) software. TiNi SMA devices typically operate in the forward or reverse martensitic transformation regime, which is known as subloop loading. During such cyclic loading–unloading, the hysteresis stress–strain loop
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Investigation of pore structure evolution and damage characteristics of high temperature rocks subjected to liquid nitrogen cooling shock Int. J. Damage Mech. (IF 4.2) Pub Date : 2024-05-01 Can Du, Jing Bi, Yu Zhao, Chaolin Wang, Wei Tang, Shuailong Lian
Liquid nitrogen (LN2) can be utilized in the development of enhanced geothermal systems, as well as for deep/ultra-deep hydrocarbon reservoir stimulation, fire suppression, and other high-temperature geological projects. It is a crucial issue in the utilization of LN2 to investigate the pore structure evolution, permeability, and damage characteristics of high-temperature rocks under the influence
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A variational data assimilation approach for sparse velocity reference data in coarse RANS simulations through a corrective forcing term Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-30 Oliver Brenner, Justin Plogmann, Pasha Piroozmand, Patrick Jenny
The Reynolds-averaged Navier–Stokes (RANS) equations provide a computationally efficient method for solving fluid flow problems in engineering applications. However, the use of closure models to represent turbulence effects can reduce their accuracy. To address this issue, recent research has explored data-driven techniques such as data assimilation and machine learning.
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Microstructural effects on the rotating bending fatigue behavior of Ti–6Al–4V produced via laser powder bed fusion with novel heat treatments Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-30 Nicholas Derimow, Jake T. Benzing, David Newton, Chad Beamer, Ping Lu, Frank W. DelRio, Newell Moser, Orion L. Kafka, Ryan Fishel, Lucas Koepke, Chris Hadley, Nik Hrabe
The rotating bending fatigue (RBF) behavior (fully reversed, R = −1) of additively manufactured (AM) Ti–6Al–4V alloy produced via laser powder bed fusion (PBF-L) was investigated with respect to different microstructures achieved through novel heat treatments. The investigation herein seeks to elucidate the effect of microstructure by controlling variables that can affect fatigue behavior in Ti–6Al–4V
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Modeling the large deformation failure behavior of unsaturated porous media with a two-phase fully-coupled smoothed particle finite element method Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-29 Ming Liu, Wenxiong Huang, Wei-Hai Yuan, Wei Zhang
In this paper, a computational framework based on the Smoothed Particle Finite Element Method is developed to study the coupled seepage-deformation process in unsaturated porous media. Governing equations are derived from the balance laws of solid and fluid phases considering partial saturation effects in porous media. Moreover, an hourglass control method is implemented to avoid the rank-deficiency
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Scalable computation of energy functions for nonlinear balanced truncation Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-29 Boris Kramer, Serkan Gugercin, Jeff Borggaard, Linus Balicki
Nonlinear balanced truncation is a model order reduction technique that reduces the dimension of nonlinear systems in a manner that accounts for either open- or closed-loop observability and controllability aspects of the system. A computational challenges that has so far prevented its deployment on large-scale systems is that the energy functions required for characterization of controllability and
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Pressure-stabilized fixed-stress iterative solutions of compositional poromechanics Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-29 Ryan M. Aronson, Nicola Castelletto, François P. Hamon, Joshua A. White, Hamdi A. Tchelepi
We consider the numerical behavior of the fixed-stress splitting method for coupled poromechanics as undrained regimes are approached. We explain that pressure stability is related to the splitting error of the scheme, not the fact that the discrete saddle point matrix never appears in the fixed-stress approach. This observation reconciles previous results regarding the pressure stability of the splitting
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Nonlinear topology optimization of flexoelectric soft dielectrics at large deformation Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-29 Xing Chen, Song Yao, Julien Yvonnet
We propose a novel nonlinear topology optimization framework tailored for flexoelectric soft dielectrics undergoing large deformation. A numerical method based on Isogeometric analysis (IGA) is introduced to nonlinear soft dielectrics at finite strain, ensuring the -continuity for flexoelectric problems. We outline the process of consistent linearizations and IGA discretizations. Additionally, we introduce
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A microstructure-based graph neural network for accelerating multiscale simulations Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-29 J. Storm, I.B.C.M. Rocha, F.P. van der Meer
Simulating the mechanical response of advanced materials can be done more accurately using concurrent multiscale models than with single-scale simulations. However, the computational costs stand in the way of the practical application of this approach. The costs originate from microscale Finite Element (FE) models that must be solved at every macroscopic integration point. A plethora of surrogate modeling
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Weak-form latent space dynamics identification Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-29 April Tran, Xiaolong He, Daniel A. Messenger, Youngsoo Choi, David M. Bortz
Recent work in data-driven modeling has demonstrated that a weak formulation of model equations enhances the noise robustness of a wide range of computational methods. In this paper, we demonstrate the power of the weak form to enhance the LaSDI (Latent Space Dynamics Identification) algorithm, a recently developed data-driven reduced order modeling technique.
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Adaptive Deep Fourier Residual method via overlapping domain decomposition Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-29 Jamie M. Taylor, Manuela Bastidas, Victor M. Calo, David Pardo
The Deep Fourier Residual (DFR) method is a specific type of variational physics-informed neural network (VPINN). It provides a robust neural network-based solution to partial differential equations (PDEs). The DFR strategy is based on minimizing the dual norm of the weak residual of a PDE, which is equivalent to minimizing the energy norm of the error. To compute the dual norm of the weak residual
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Special Issue: Engineering against fatigue failure Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-29 Emeritus Spiros Pantelakis, Michael Vormwald
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Origami-based bidirectional self-locking system for energy absorption J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-29 Zongbing Chen, Xingyu Wei, Lihong Yang, Jian Xiong
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Heterostructured mechanical metamaterials inspired by the shell of Strombus gigas J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-28 Juzheng Chen, Hao Wu, Jingzhuo Zhou, Ziyong Li, Ke Duan, Ruihan Xu, Tianyi Jiang, Hongyuan Jiang, Rong Fan, Roberto Ballarini, Yang Lu
Despite being highly mineralized, the shells of molluscs exhibit superior strength and toughness because their architectural designs control the evolution of cracks and other types of localized deformation such as shear bands. The crossed-lamellar design of the shell of , whose hierarchy consists of four distinct lamellar-shaped features assembled in a three-dimensional arrangement, represents the
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QuadWire: An extended one dimensional model for efficient mechanical simulations of bead-based additive manufacturing processes Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-27 Laurane Preumont, Rafaël Viano, Daniel Weisz-Patrault, Pierre Margerit, Grégoire Allaire
This paper presents the basis of a new mechanical model named dedicated to efficient simulations of bead-based additive manufacturing processes in which elongated beads undergoing significant cooling and eigenstrain are assembled to form 3D parts. The key contribution is to use a multi-particular approach containing 4 particles per material point to develop an extended 1D model capable of capturing
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Multi-failure mode reliability analysis method based on intelligent directional search with constraint feedback Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-27 Yue Zhang, Shaojun Feng, Hao Yang, Peng Hao, Bo Wang
Searching for the most probable point (MPP) by traditional methods cannot avoid the demand for accurate gradients of limit state functions (LSFs) essentially. It is difficult to calculate the accurate gradient of unknown high nonlinear LSFs. In this paper, a multi-failure mode reliability analysis method based on intelligent directional search with constraint feedback (IDS) is proposed, focusing on
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Fatigue properties and damage evolution of CFRP/Al bolted joint under high load level using micro-CT technology Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-27 Lanxin Jiang, Long Yang, Bing Yang, Zhen Liao, Shoune Xiao, Hongzi Xiong
Although bolted jointsbetween aluminum alloy (Al) and carbon fiber reinforced plastic (CFRP) are often used in engineering, the specific cause of fatigue failure in these joints is still not understood. The tension–tension fatigue experiments were performed on CFRP/AL bolted single lap joints (SLJs) at high load levels in this investigation. Two stacking sequences ([±45] and [0/90, ±45]), were developed
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Influence of deep rolling at different temperatures on near-surface and mechanical properties of a Maraging C250 steel Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-27 T. Wegener, T. Oevermann, T. Niendorf
Due to an outstanding combination of high strength and fracture toughness Maraging steels are used in numerous industries, e.g., in the aerospace sector. The high strength can be attributed to precipitation strengthening by conventional age-hardening heat treatments. However, as many of the envisaged applications will suffer from cyclic loadings, the fatigue properties are of significant interest in
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Investigation on high cycle fatigue performance of additively manufactured Alloys: Synergistic effects of surface finishing and Post-Heat treatment Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-27 Yunhao Zhao, Mitra Shabani, Liyi Wang, Wei Xiong
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Damage healing mechanisms in polycrystalline copper under unconstraint ultrasonic vibration treatment Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-27 Yi-Er Guo, De-Guang Shang, Long Xue, Xiang Yin, Chao-Lin Chen, Dao-Hang Li
The fatigue performance and microstructure of polycrystalline copper treated by one (UUV1), two (UUV2), three (UUV3) passes of unconstraint ultrasonic vibration (UUV) treatment were investigated in this paper. The surface roughness, fatigue life, microstructure, and plastic strain energy before and after UUV treatment were compared. The results revealed that the surface integrity of the sample for
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An FFT-based adaptive polarization method for infinitely contrasted media with guaranteed convergence Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-26 Karam Sab, Jérémy Bleyer, Sébastien Brisard, Martin Dolbeau
We propose an FFT-based iterative algorithm for solving the Lippmann–Schwinger equation in the context of periodic homogenization of infinitely contrasted linear elastic composites. Our work initially reformulates the Moulinec–Suquet, Eyre–Milton and Monchiet–Bonnet schemes using a residual formulation. Subsequently, we introduce an enhanced scheme, termed Adaptive Eyre–Milton (AEM), as a natural extension
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Dynamically configured physics-informed neural network in topology optimization applications Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-26 Jichao Yin, Ziming Wen, Shuhao Li, Yaya Zhang, Hu Wang
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Robust topology optimization for transient dynamic response minimization Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-25 Shubham Saurabh, Abhinav Gupta, Rajib Chowdhury, Pakeeruraju Podugu
This paper presents a novel framework for topology optimization (TO) of structures subjected to uncertain transient loading. Random transient uncertain but bounded loading is modeled in the form of an ellipsoid convex model. A transformation matrix is defined with uncertainty in input parameters based on orientation and lengths of semi-major and semi-minor axes of the ellipsoid. Latin hypercube sampling
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A Partition of Unity construction of the stabilization function in Nitsche’s method for variational problems Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-25 Pablo Jiménez Recio, Marc Alexander Schweitzer
In this paper we develop a partition-of-unity construction of the stabilization function required in Nitsche’s method, which can be seen as a generalization of the element-wise construction that is widely used in finite element methods. This allows for the use of Nitsche’s method within the Partition of Unity Method with a stabilization function that is not simply a constant over the whole boundary
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Robust and efficient implementation of finite strain generalized continuum models for material failure: Analytical, numerical, and automatic differentiation with hyper-dual numbers Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-25 Alexander Dummer, Matthias Neuner, Peter Gamnitzer, Günter Hofstetter
Generalized continuum models for representing nonlinear material behavior including material failure in the finite strain regime are commonly formulated based on scalar elastic and dissipation potential functions. The evolution of stresses and internal variables, i.e., the material state, is governed by partial derivatives of the potential functions with respect to deformation and stress measures.
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AK-Gibbs: An active learning Kriging model based on Gibbs importance sampling algorithm for small failure probabilities Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-25 Wei Zhang, Ziyi Zhao, Huanwei Xu, Xiaoyu Li, Zhonglai Wang
In engineering practices, it is a time-consuming procedure to estimate the small failure probability of highly nonlinear and dimensional limit state functions and Kriging-based methods are more effective representatives. However, it is an important challenge to construct the candidate importance sample pool for Kriging-based small failure probability analysis methods with multiple input random variables
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Effect of natural aging by multifunction cavitation on plane bending fatigue behaviour of heat-treatable Al-Si7Mg aluminum alloys and its fatigue strength estimation Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-25 Shoichi Kikuchi, Shunta Matsuoka, Toshihiko Yoshimura, Masataka Ijiri
The effect of natural aging by multifunction cavitation (MFC) on the fatigue behaviour of heat-treatable Al-Si7Mg aluminum alloys was examined. Surface observation and plane bending fatigue tests were conducted for the MFC-treated aluminum alloys at a stress ratio, , of −1. The hardness of aluminum alloy without T6 treatment was significantly increased by MFC due to both the work hardening and natural
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Mechanics of abrasion-induced particulate matter emission J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-25 Ketian Li, Yanchu Zhang, Kunhao Yu, Haixu Du, Constantinos Sioutas, Qiming Wang
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Incompatibility-driven growth and size control during development J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-25 A. Erlich, G. Zurlo
Size regulation in living organisms is a major unsolved problem in developmental biology. This is due to the intrinsic complexity of biological growth, which simultaneously involves genetic, biochemical, and mechanical factors. In this article, we propose a novel theoretical framework that explores the role of incompatibility, the geometric source of residual stress in a growing body, as a possible
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Contact stiffness of the multi-indenter contact interface J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-25 Yongbin Wang, Jinsheng Zhao, Yuxiang He, Mingshan Yang, Jielei Chu, Jianghong Yuan, Xiangyu Li, Weiqiu Chen
Mechanical contact plays a pivotal role in both industrial and daily life applications. Contact stiffness of a multi-indenter contact interface fundamentally determines force–deformation relations. However, the understanding of the overall contact stiffness from the historical perspective is limited owing to inherent difficulties in precisely characterizing the interaction in multi-indenter contacts
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Anti-derivatives approximator for enhancing physics-informed neural networks Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-24 Jeongsu Lee
This study presents a novel strategy for constructing an approximator for arbitrary univariate functions. The proposed approximation utilizes the anti-derivatives of a Fourier series expansion for the presumed piecewise function, resulting in a remarkable feature that enables the simultaneous approximation of an arbitrary function and its anti-derivatives. These anti-derivatives can be employed to
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Enhanced fully resolved CFD-DEM-PBFM simulation of non-spherical particle–fluid interactions during hydraulic collection Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-24 Yefeng Yang, Yin Wang
The interactions between non-spherical particles and fluids are commonplace in both nature and engineering applications, such as deep-sea nodules hydraulic collection. However, accurately simulating granular particles with non-spherical shapes and gaining a deep understanding of the intricate mechanisms involved in fluid–particle interactions still pose significant challenges. In this study, the superquadric
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Recurrent neural network plasticity models: Unveiling their common core through multi-task learning Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-24 Julian N. Heidenreich, Dirk Mohr
Recurrent neural network models are known to be particularly suitable for data-driven constitutive modeling due to their built-in memory variables. The main challenge preventing their widespread application to engineering materials lies in their excessive need of data for training. Here, we postulate that RNN models of elasto-plastic solids feature a large common core that is shared by all materials
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Enhancing thermal performance in enclosures filled with nanofluids subjected to sinusoidal heating: a numerical study Eng. Appl. Comput. Fluid Mech. (IF 6.1) Pub Date : 2024-04-24 Naeem Ullah, Dianchen Lu, Sohail Nadeem
This study conducts a comprehensive numerical investigation into enhancing thermal transfer within square enclosures filled with water-based oxide nanoparticle suspensions, subjected to central sin...