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Isosurface extraction for piecewise-linear reconstruction of complex interfaces on arbitrary grids Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-27 Joaquín López
In the field of volume of fluid type schemes, there is still great room for improvement in the accuracy of the methods used to reconstruct interfaces, especially when highly complex interfaces are involved. Isosurface extraction is exploited in a series of piecewise-linear interface reconstruction methods to simulate complex interface dynamic problems on arbitrary grids, and high-order surface patches
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On the determination of the quasi-static evolution of brittle plane cracks via stationarity principle Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-27 Gabriele Cricrì
The crack front evolution in brittle solids is commonly modelled by defining some crack increment criterion, which can be derived from considerations on the stress singularity, from the definition of a dissipative potential, from the introduction of phenomenological concepts such as the crack mobility, and so on. In this work, we faced the problem with no allowance for any crack increment criterion
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Solver-free reduced order homogenization for nonlinear periodic heterogeneous media Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-27 Andrew Beel, Jacob Fish
Reduced-order homogenization (ROH) and related methods are important computational tools for simulating the material behavior of composites. These methods generally sacrifice accuracy in exchange for superior computational efficiency, relative to methods such as classical computational homogenization (CCH). In this study, building on the recently developed solver-free CCH, we propose a fine-scale solver-free
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Multi-scale design of composite material structures for maximizing fundamental natural frequency Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-27 Sunghan Lee, Min Kyu Oh, Cheolwoong Kim, Mingook Jung, Jeonghoon Yoo
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Multiharmonic multiscale modelling in 3-D nonlinear magnetoquasistatics: Composite material made of insulated particles Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-26 Janne Ruuskanen, Antoine Marteau, Innocent Niyonzima, Alexandre Halbach, Joonas Vesa, Gérard Meunier, Timo Tarhasaari, Paavo Rasilo
The use of the classical finite element method (FEM) to solve problems with magnetic composites leads to huge linear systems that are impossible to solve. Instead, homogenization and multiscale methods are often used with the composite material replaced by a homogeneous material with the homogenized constitutive law obtained by solving cell-problems representing the mesoscale material structure. For
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A fast and accurate domain decomposition nonlinear manifold reduced order model Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-26 Alejandro N. Diaz, Youngsoo Choi, Matthias Heinkenschloss
This paper integrates nonlinear-manifold reduced order models (NM-ROMs) with domain decomposition (DD). NM-ROMs approximate the full order model (FOM) state in a nonlinear-manifold by training a shallow, sparse autoencoder using FOM snapshot data. These NM-ROMs can be advantageous over linear-subspace ROMs (LS-ROMs) for problems with slowly decaying Kolmogorov -width. However, the number of NM-ROM
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A mechanically consistent unified formulation for fluid-porous-structure-contact interaction Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-26 Fannie M. Gerosa, Alison L. Marsden
Fluid–structure interaction with contact poses profound mathematical and numerical challenges, particularly when considering realistic contact scenarios and the influence of surface roughness. Computationally, contact introduces challenges in altering the fluid domain topology and preserving stress balance. This work introduces a new mathematical framework for a unified continuum description of fl
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Structural design against brittle fracture: Optimizing energy release rate and experiment Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-25 Daicong Da
Despite substantial advancements in optimizing structural designs for stiffness, the field of design against fracture is still in its early stages. This paper introduces a fundamental and standardized paradigm for structural design against brittle fracture, achieved through the minimization of the energy release rate within the framework of linear elastic fracture mechanics (LEFM). By leveraging the
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Error estimates for finite element approximations of viscoelastic dynamics: The generalized Maxwell model Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-25 Martin Björklund, Karl Larsson, Mats G. Larson
We prove error estimates for a finite element approximation of viscoelastic dynamics based on continuous Galerkin in space and time, both in energy norm and in norm. The proof is based on an error representation formula using a discrete dual problem and a stability estimate involving the kinetic, elastic, and viscoelastic energies. To set up the dual error analysis and to prove the basic stability
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Peridynamic correspondence model with strain gradient elasticity for microstructure dependent size effects Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-25 Sundaram Vinod K. Anicode, Yanan Zhang, Cody Mitts, Elias Aifantis, Erdogan Madenci
This study presents a peridynamic (PD) correspondence model with strain gradient elasticity (SGE) to capture size effect on strength of nano- and micro-scale structures. The classical elasticity theory lacking a length scale parameter does not account for the microstructure-dependent size effects. Strain Gradient (SG) elasticity is an extension of the classical elasticity with a length scale parameter(s)
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Topology optimization of irregular multiscale structures with tunable responses using a virtual growth rule Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-25 Yingqi Jia, Ke Liu, Xiaojia Shelly Zhang
Many applications demand tunable structural responses through tailored organic microstructural distributions and spatially varied material properties. Notable progress has been made in discovering optimized designs using periodic material patterns and fixed material phases to achieve unusual structural responses. To enable the capability of exploring non-periodic material architectures with continuous
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Dynamic optimisation for graded tissue scaffolds using machine learning techniques Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-23 Chi Wu, Boyang Wan, Yanan Xu, D S Abdullah Al Maruf, Kai Cheng, William T Lewin, Jianguang Fang, Hai Xin, Jeremy M Crook, Jonathan R Clark, Grant P Steven, Qing Li
Tissue scaffolds have emerged as a promising solution for treatment of critical size bone defects, offering significant advantages over conventional strategies. One of the key functionalities of bone scaffolds is their ability to promote long-term bone ingrowth effectively. To enhance this functionality, we develop a novel dynamic optimisation framework to customise bone scaffolds for achieving maximum
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Nonlinear electro-elastic finite element analysis with neural network constitutive models Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-23 Dominik K. Klein, Rogelio Ortigosa, Jesús Martínez-Frutos, Oliver Weeger
In the present work, the applicability of physics-augmented neural network (PANN) constitutive models for complex electro-elastic finite element analysis is demonstrated. For the investigations, PANN models for electro-elastic material behavior at finite deformations are calibrated to different synthetically generated datasets describing the constitutive response of dielectric elastomers. These include
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Parallel and energy conservative/dissipative schemes for sine–Gordon and Allen–Cahn equations Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-22 Wenjun Cai, Junsheng Ren, Xuelong Gu, Yushun Wang
The sine–Gordon and Allen–Cahn equations are two typical models in the fields of conservative Hamiltonian systems and dissipative gradient flows, respectively. As the demand for numerical methods that respect intrinsic energy conservation/dissipation laws turns into a fundamental principle, the subsequent computational efficiency is getting more and more desired. Linearly implicit methods, which only
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A fatigue life prediction approach for porosity defect-induced failures in directed energy deposited Ti-6Al-4V considering crack growth environment Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-22 Dingcheng Tang, Xiaofan He, Bin Wu, Linwei Dang, Hao Xin, Yuhai Li
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Modelling flame-to-fuel heat transfer by deep learning and fire images Eng. Appl. Comput. Fluid Mech. (IF 6.1) Pub Date : 2024-03-21 Caiyi Xiong, Zilong Wang, Xinyan Huang
In numerical fire simulations, the calculation of thermal feedback from the flame to the solid and liquid fuel surface plays a critical role as it connects the fundamental gas-phase flame burning a...
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Projection-based reduced order modeling and data-driven artificial viscosity closures for incompressible fluid flows Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-21 Aviral Prakash, Yongjie Jessica Zhang
Projection-based reduced order models rely on offline–online model decomposition, where the data-based energetic spatial basis is used in the expensive offline stage to obtain equations of reduced states that evolve in time during the inexpensive online stage. The online stage requires a solution method for the dynamic evolution of the coupled system of pressure and velocity states for incompressible
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A material energy–momentum flux-driven phase field fracture mechanics model Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-21 Dana Bishara, Shaofan Li
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Locking-free isogeometric discretizations of linear plane Timoshenko rods: LAS elements Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-21 Md Sadman Faruque, Hugo Casquero
We make use of linear plane curved Timoshenko rods as a model problem to study how to overcome shear and membrane locking in NURBS-based discretizations. In this work, we propose lumped-assumed-strain (LAS) elements, a projection-based assumed-strain treatment that removes shear and membrane locking for a very broad range of slenderness ratios. For a NURBS patch with basis functions of degree and continuity
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Multiscale computational modeling of arterial micromechanics: A review Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-20 Misael Dalbosco, Eduardo A. Fancello, Gerhard A. Holzapfel
The mechanical properties of arterial tissue play a central role in healthy human physiology and have therefore been extensively studied and modeled in recent decades. These properties are closely related to the microstructural features of the tissue and at the same time can have a significant influence on them because the arterial microstructure is maintained (and in some cases remodeled) at the microscopic
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A comprehensive study of a long-term creep thermo-mechanical fatigue behavior monitoring of BFRP composite pipeline using electrical capacitance sensors and deep learning algorithm Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-20 Wael A. Altabey
The composite pipeline is a relatively new and viable alternative pipeline to the more commonly used traditional one due to its good mechanical and fatigue properties and lower production cost. For this purpose, it is critical to assess the mechanical and fatigue performance of composite pipeline material under various working conditions, particularly for monitoring long-term creep thermo-mechanical
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Peridynamic neural operators: A data-driven nonlocal constitutive model for complex material responses Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-19 Siavash Jafarzadeh, Stewart Silling, Ning Liu, Zhongqiang Zhang, Yue Yu
Neural operators, which can act as implicit solution operators of hidden governing equations, have recently become popular tools for learning the responses of complex real-world physical systems. Nevertheless, most neural operator applications have thus far been data-driven and neglect the intrinsic preservation of fundamental physical laws in data. In this work, we introduce a novel integral neural
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Handling noise and overfitting in surrogate models based on non-uniform rational basis spline entities Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-19 Bruno Vuillod, Mathilde Zani, Ludovic Hallo, Marco Montemurro
This paper proposes a general and systematic approach to generate a surrogate model based on non-uniform rational basis spline (NURBS) hyper-surfaces as a solution of a constrained non-linear programming problem, which is solved through a gradient-based algorithm by considering two formulations. The first formulation, which is the general one, is prone to the curse of dimensionality. The second one
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High cycle fatigue behavior of additively manufactured Ti-6Al-4V alloy with HIP treatment at elevated temperatures Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-19 Gen Li, Weiqian Chi, Wenjing Wang, Xiaorui Liu, Huan Tu, Xu Long
The fatigue tests at 200 °C and 400 °C were conducted to investigate the elevated-temperature fatigue behavior of additively manufactured (AM) Ti-6Al-4V alloy with hot isostatic pressing (HIP) treatment. Since the manufacturing defects (i.e., pores) were significantly reduced by HIP treatment, no specimen failed from the pores. Consequently, the present AM Ti-6Al-4V alloy behaved superior to that without
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Corrigendum to “Fatigue life improvement using low transformation temperature weld material with measurement of residual stress” [Int. J. Fatigue 164 (2022) 107137] Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-19 Jordan Franks, Greg Wheatley, Pedram Zamani, Reza Masoudi Nejad, Wojciech Macek, Ricardo Branco
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Optimizing nanoporous metallic actuators through multiscale calculations and machine learning J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-03-19 Sheng Sun, Menghuan Wang, Hanqing Jiang, Ying Zhang, Hang Qiao, Tong-Yi Zhang
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Robust Variational Physics-Informed Neural Networks Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-18 Sergio Rojas, Paweł Maczuga, Judit Muñoz-Matute, David Pardo, Maciej Paszyński
We introduce a Robust version of the Variational Physics-Informed Neural Networks method (RVPINNs). As in VPINNs, we define the quadratic loss functional in terms of a Petrov–Galerkin-type variational formulation of the PDE problem: the trial space is a (Deep) Neural Network (DNN) manifold, while the test space is a finite-dimensional vector space. Whereas the VPINN’s loss depends upon the selected
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Effect of interphase layer on matrix cracking in fiber reinforced ceramic matrix composites J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-03-18 Xiaochuan Niu, Yong Ma, Shu Guo, Lu Li, Ruixiao Zheng, Jinwu Xiang, Yuli Chen
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Theoretical and numerical modeling of the effect of damage and dynamic strain aging on the plastic response of C45 steel alloys Int. J. Damage Mech. (IF 4.2) Pub Date : 2024-03-18 Yooseob Song, Jaeheum Yeon, George Z Voyiadjis
A constitutive model for C45 steel alloys is proposed in this work by integrating the effect of damage and a specific phenomenon, so-called dynamic strain aging. For damage modeling, an energy-based isotropic damage model is implemented within a frame of continuum damage mechanics. The total stress is decomposed into athermal and thermal elements. The former includes the additional term for dynamic
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Fatigue and fracture behaviour of (Al-Cu-Li) AA2198 under different ageing conditions Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-17 Alexis T. Kermanidis, Christina-Margarita Charalampidou, Ioannis Goulas, Panagiotis Skarvelis, Nikolaos D. Alexopoulos
The effect of artificial ageing on tensile and fatigue properties along with resistance to fracture of aluminium alloy 2198-T3 was investigated. The fatigue and damage tolerance capability of the alloy was studied under different artificial ageing conditions, simulating the natural ageing process which takes place during an aircraft lifespan. Four (4) different ageing conditions corresponding to under-aged
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Defect tolerance and fatigue limit prediction for laser powder bed fusion Ti6Al4V Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-17 Abdul Khadar Syed, Wilson Vesga, Ben Dutton, Tom Berentshaw, Xiang Zhang
This study is focused on the individual effect of gas porosity size and location on fatigue strength of a laser powder bed fusion Ti6Al4V alloy. Tensile and fatigue samples were manufactured by artificially seeding gas pores either at the centre or close to surface. Seeded porosity reduced the ductility by 20% and fatigue strength by 33% but had little influence on the static strength. Despite seeded
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Low-cycle fatigue crack growth in brittle materials: Adaptive phase-field modeling with variable-node elements Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-16 Tiancheng Zhang, Hirshikesh, Tiantang Yu, Junlei Ding, Sundararajan Natarajan
This work presents an adaptive phase field framework for the simulation of crack nucleation and propagation in brittle materials subject to low-cycle loading. We introduce a fatigue history strain parameter within the phase-field framework to capture the fatigue effect. The resulting coupled differential equations are solved using a staggered iteration scheme. In order to improve the computational
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Neural network based fatigue lifetime prediction of metals subjected to block loading Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-16 Jelle Plets, Quinten Bouckaert, Bilal Ahmed, Wim De Waele, Kris Hectors
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Coupling between viscoelasticity and soft elasticity in main-chain nematic Liquid Crystal Elastomers J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-03-16 L. Rezaei, G. Scalet, M. Peigney, A. Azoug
Liquid crystal elastomers (LCEs) are a class of smart elastomers exhibiting unusual mechanical behavior, including large energy dissipation and soft elasticity under uniaxial tensile loading. LCEs are composed of liquid crystal molecules, called mesogens, linked by a network of polymer chains. During deformation, the mesogens orient in the direction of the loading, leading to soft elasticity, which
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Nonlinear optimization for compact representation of orientation distributions based on generalized spherical harmonics J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-03-16 Russell E. Marki, Marko Knezevic
An orientation distribution is a necessary input in any crystal plasticity simulation. The computational time involved in crystal plasticity simulations scales linearly with the number of crystal orientations in the input distributions. Reducing the number of crystal orientations in representing the input orientation distributions quantitatively is a critical and necessary requirement for performing
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Multiscale Thermodynamics-Informed Neural Networks (MuTINN) towards fast and frugal inelastic computation of woven composite structures J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-03-16 M. El Fallaki Idrissi, F. Praud, F. Meraghni, F. Chinesta, G. Chatzigeorgiou
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Surface wrinkling of a film coated to a graded substrate J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-03-16 Rui-Cheng Liu, Yang Liu, Alain Goriely
We study the surface wrinkling of a stiff thin elastic film bonded to a compliant graded elastic substrate subject to compressive stress generated either by compression or growth of the bilayer. Our aim is to clarify the influence of the modulus gradient on the onset and surface pattern in this bilayer. Within the framework of finite elasticity, an exact bifurcation condition is obtained using the
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Study on predicting rolling contact fatigue of pitch bearing raceway in offshore wind turbine Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-15 Haifeng He, Yiming Chen, Xin Jin, Heli Liu, Chunmei Wang
Pitch bearing is the critical component that are widely used to ensure the operation of offshore wind turbine blades and enable efficient capture of wind energy. Uncertain environmental factors and extreme load conditions can induce early fatigue failure in pitch bearings, and lead to major accidents such as blade detachment. In this study, a damage coupling fatigue simulation model, considering residual
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Very high cycle fatigue of laser powder bed fused Al-Cu-Mg-Ag-TiB2 (A20X) Alloy: Stress relief and aging treatments Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-15 Maryam Avateffazeli, Shawkat I. Shakil, Alireza Behvar, Moataz M. Attallah, Jutima Simsiriwong, Andrea Tridello, Davide S. Paolino, Meysam Haghshenas
This study presents a comprehensive exploration of the fatigue response in the very high cycle fatigue (VHCF) regime for an additively manufactured (i.e., laser powder bed fused) A20X aluminum alloy. Although the need for high-performance materials with exceptional fatigue qualities has increased dramatically, the VHCF behavior of Al-Cu-Mg-Ag-TiB (A20X) structures remains largely unknown. A series
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Curvature controls beading in soft coated elastic cylinders: Finite wavemode instability and localized modulations J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-03-15 Matteo Taffetani, Matthew G. Hennessy
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Multi-objective design optimization of a transonic axial fan stage using sparse active subspaces Eng. Appl. Comput. Fluid Mech. (IF 6.1) Pub Date : 2024-03-12 Richard Amankwa Adjei, Chengwei Fan
In this paper, a multi-objective optimization strategy for efficient design of turbomachinery blades using sparse active subspaces is implemented for a turbofan stage design. The proposed strategy ...
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Dual-objective optimization strategy of self-adaptive transient pressure controller in water delivery engineering Eng. Appl. Comput. Fluid Mech. (IF 6.1) Pub Date : 2024-03-14 Boran Zhang, Wuyi Wan, Yuhang Wang, Qihua Ran, Xiaoyi Chen, Yue Fang, Saiyu Yuan, Huiming Zhang
Controlling pressure impact of water hammer is an important guarantee for safe and stable running of pipeline systems. Previously, we proposed a spring self-adaptive auxiliary control (SAC) system ...
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Rapid fatigue evaluation of additive manufactured specimens: Application to stainless steel AISI 316L obtained by laser metal powder bed fusion Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-14 M. Bemani, S. Parareda, D. Casellas, A. Mateo, R. Das, A. Molotnikov
Laser powder bed fusion additive manufacturing is a promising technology for manufacturing components in many industrial applications. These components are often subjected to cycling loading and there are concerns about their fatigue performance due to inherent anisotropy, defects, and surface roughness. However, conventional fatigue assessment is time-consuming and expensive. Consequently, several
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Microstructural influences on simultaneous strength and fatigue crack resistance in advanced High-Strength steels Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-14 Nader Heshmati, Mohammad Hoseini-Athar, Annika Borgenstam, Henrik Sieurin, Joachim Larsson, Peter Hedström
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Probabilistic notch fatigue assessment under size effect using micromechanics-based critical distance theory Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-14 Jin-Chao He, Shun-Peng Zhu, Changqi Luo, Wei Li, Qiang Liu, Yun He, Qingyuan Wang
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The influence of river discharge on energy transport in estuaries and its implication for the equilibrium bed profile Eng. Appl. Comput. Fluid Mech. (IF 6.1) Pub Date : 2024-03-12 Min Zhang, Bo Li, Tianyi Xie, Ian Townend, Tongtiegang Zhao, Huayang Cai
In this paper, we revisit the classical energy transport equation for pure tidal flows in estuaries by including the effects of residual water level and freshwater discharge. Starting from the one-...
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Static-dynamic damage mechanism and self-heating effect of a clean elastic polyurethane grouting material for trenchless rehabilitation under high stresses Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-13 Cuixia Wang, Zengni Qin, Xinghui Gong, Chao Zhang, Wang Pan, Yangyang Xia, Peng Zhao, Lei Wang, Jian Liang, Zhenyuan Hang, Weiliang Gao
Compared with traditional excavation rehabilitation, trenchless grouting rehabilitation technology has the advantages of fast, precise, and low-carbon, which has a broad application prospect in wind turbine foundation rehabilitation. In this work, a non-toxic, environment-friendly, fast-setting, high-strength, and high-toughness elastic polyurethane (PU) grouting material was proposed, and the static-dynamic
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Computational multiscale modelling of material interfaces in electrical conductors J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-03-13 Tobias Kaiser, Niklas von der Höh, Andreas Menzel
Material interfaces occur at various length scales and may exhibit significantly different properties than the surrounding bulk. Motivated by their importance for electrical engineering applications such as wire bonds and electrically conductive adhesives, the focus of the present work is on material interfaces in electrical conductors. In order to approximate the physical interphase (of finite thickness)
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Large rotation isogeometric shell model for alternating stiff/soft curved laminates including warping and interlayer thickness change Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-12 Leonardo Leonetti, Domenico Magisano, Giovanni Garcea
The mechanics of laminates made up of elastic alternating stiff/soft layers is dominated by bending and membrane actions in the stiff layers, while transverse shear deformations concentrate in the soft interlayers producing significant zigzag warping effects. Additionally, curved geometry and large deformations can induce an interlayer thickness strain affecting the overall response of the laminate
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A physics-informed GAN framework based on model-free data-driven computational mechanics Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-12 Kerem Ciftci, Klaus Hackl
Model-free data-driven computational mechanics, first proposed by Kirchdoerfer and Ortiz, replace phenomenological models with numerical simulations based on sample datasets in strain–stress space. In this study, we integrate this paradigm within physics-informed generative adversarial networks (GANs). We enhance the conventional physics-informed neural network framework by implementing the principles
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Gradient-annihilated PINNs for solving Riemann problems: Application to relativistic hydrodynamics Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-12 Antonio Ferrer-Sánchez, José D. Martín-Guerrero, Roberto Ruiz de Austri-Bazan, Alejandro Torres-Forné, José A. Font
We present a novel methodology based on Physics-Informed Neural Networks (PINNs) for solving systems of partial differential equations admitting discontinuous solutions. Our method, called Gradient-Annihilated PINNs (GA-PINNs), introduces a modified loss function that forces the model to partially ignore high-gradients in the physical variables, achieved by introducing a suitable weighting function
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Bayesian reinforcement learning reliability analysis Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-12 Tong Zhou, Tong Guo, Chao Dang, Michael Beer
A Bayesian reinforcement learning reliability method that combines Bayesian inference for the failure probability estimation and reinforcement learning-guided sequential experimental design is proposed. The reliability-oriented sequential experimental design is framed as a finite-horizon Markov decision process (MDP), with the associated utility function defined by a measure of epistemic uncertainty
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A robust optimization framework for design of robotic system with kinematic and dynamic criteria Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-12 Shuoshuo Shen, Dequan Zhang, Xu Han, Chao Jiang, Qing Li
Industrial robot, as one class of digitalized intelligent equipment, plays a significant role in enhancing production efficiency and quality through implementing desired kinematic precision and reliable performance for modern high-tech industries. This study proposes a robust optimization framework to account for the kinematic and dynamic uncertainties in industrial robotic systems. The design objective
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Mixed mode fatigue crack growth and fatigue threshold analysis in polyurethane adhesives at elevated temperatures Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-12 M. Ribas, A. Akhavan-Safar, R.J.C. Carbas, E.A.S. Marques, S. Wenig, L.F.M. da Silva
The paper investigates mixed-mode fatigue crack growth in ductile polyurethane adhesives, emphasizing mode decoupling to distinguish the impact of each loading mode component on crack propagation. It also explores the temperature sensitivity of fatigue crack growth rates for each loading mode. Individual scrutiny of the role of each loading mode in tests is accompanied by an analysis of fatigue fracture
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Configurational force method enables fracture assessment in soft materials J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-03-12 Miguel Angel Moreno-Mateos, Paul Steinmann
Configurational mechanics offers a framework for quantifying the tendency of defects to alter the material configuration. When applied to fracture mechanics, configurational forces can be used to quantify the propensity of cracks to propagate. An alternative, well-established approach involves analytical solutions for crack tip displacement fields. However, these solutions typically apply to a limited
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A novel conceptual design approach for autonomous underwater helicopter based on multidisciplinary collaborative optimization Eng. Appl. Comput. Fluid Mech. (IF 6.1) Pub Date : 2024-03-11 Yuan-Jie Chen, Haocai Huang
Autonomous underwater helicopters (AUHs) are complex electromechanical systems consisting of multiple interconnected sub-disciplines, posing a significant challenge for traditional sequential desig...
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Topology optimization for rigid and compliant hybrid mechanisms Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-11 Shuhao Xia, Tao Gong, Bicheng Chen, Xianmin Zhang, Nianfeng Wang
This paper proposes a topology optimization method integrating the variable trajectory constraints to design rigid and compliant hybrid mechanisms. The variable trajectory constraints are distributed in the design domain and are uniformly modeled by nonlinear spring model. Each of the variable trajectory constraints has an active or inactive state and different states map various mechanical properties
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Numerical modeling of ferroelectric materials in the presence of flexoelectricity Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-03-11 Prince Henry Serrao, Sergey Kozinov
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Study on thermal fatigue stability in microstructure and mechanical property of Fe35Ni35Cr20Mn10 high-entropy alloy wire and pearlite wire at high/medium temperature environment Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-11 Mengchuan Shi, Xinghui Pan, Dan Wu, Hengcheng Liao, Guangjing Li, Hongfang Liu, Weijun Zhu
Thermal fatigue stability in microstructure and strength of Fe35Ni35Cr20Mn10 high-entropy alloy (HEA) wire and pearlite wire at 400–700 °C with low cycles was studied. The pearlite wire has a poor stability in microstructure and strength, significantly changing with the temperature. HEA wire has an excellent thermal fatigue stability. After the thermal fatigue at 400 °C and 500 °C, the microstructure
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Practical fatigue strength diagrams for compression springs based on the FKM-Guideline “Analytic Strength Assessment for Springs“ Int. J. Fatigue (IF 6.0) Pub Date : 2024-03-11 Martin Petrich, Ulf Kletzin
Metal springs are used extensively in technical products. The mathematical relationships and Goodman diagrams contained in the DIN EN 13906–1 standard form the essential basis for the design and calculation of cylindrical helical compression springs. They are used not only nationally, but internationally in the spring industry and by spring users. However, the diagrams are more than 50 years old and