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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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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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Shape optimization of embedded solids using implicit Vertex-Morphing Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-23 Manuel Meßmer, Reza Najian Asl, Stefan Kollmannsberger, Roland Wüchner, Kai-Uwe Bletzinger
One of the biggest challenges in optimizing the shape of complex solids is the requirement to maintain a reasonable mesh quality not only at the boundary but also for the bulk discretization of the interior. Thus, additional regularization and, in many cases, re-meshing of the structure during the iterative process is unavoidable with a Lagrangian description. By tracking the shape update using an
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Phase field modeling of hyperelastic material interfaces –Theory, implementation and application to phase transformations Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-23 Hendrik Wilbuer, Patrick Kurzeja, Jörn Mosler
Interface mechanics can significantly govern the evolution of multiple phases on smaller scales, e.g., determining the properties of TWIP- and TRIP-steels, geopolymers or Li-ion batteries. The present contribution is specifically centered around the influence of interface elasticity on mechanically induced phase transformations. A geometrically exact finite element framework is developed for this purpose
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A multiscale micromechanical progressive elastic-damage model for cementitious composites featuring superabsorbent polymer (SAP) Int. J. Damage Mech. (IF 4.2) Pub Date : 2024-04-23 Aiqing Xu, Xiaoyan Man, J Woody Ju
A multiscale micromechanics-based progressive damage model is developed to investigate the overall mechanical behavior and the interfacial microcrack evolutions of the cementitious composites featuring superabsorbent polymer (SAP) under uniaxial tension. Elastic properties, progressive damage process, and homogenization procedure of cementitious composites are systematically integrated in this model
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RiemannONets: Interpretable neural operators for Riemann problems Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-22 Ahmad Peyvan, Vivek Oommen, Ameya D. Jagtap, George Em Karniadakis
Developing the proper representations for simulating high-speed flows with strong shock waves, rarefactions, and contact discontinuities has been a long-standing question in numerical analysis. Herein, we employ neural operators to solve Riemann problems encountered in compressible flows for extreme pressure jumps (up to pressure ratio). In particular, we first consider the DeepONet that we train in
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In silico model of colon electromechanics for manometry prediction after laser tissue soldering Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-22 René Thierry Djoumessi, Pietro Lenarda, Alessio Gizzi, Simone Giusti, Pietro Alduini, Marco Paggi
The present study introduces an advanced multi-physics and multi-scale modeling approach to investigate in silico colon motility. We introduce a generalized electromechanical framework, integrating cellular electrophysiology and smooth muscle contractility, thus advancing a first-of-its-kind computational model of colon motility after intraluminal laser tissue soldering. The proposed theoretical framework
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Estimating the macro strength of rock based on the determined mechanical properties of grains and grain-to-grain interfaces J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-20 Zhiyang Wang, Ruifeng Zhao, Mengyi Li, Xiangyu Xu, Zhijun Wu, Yingwei Li
Obtaining complete rock cores is exceptionally challenging in certain extreme environments, such as deep earth and deep space; consequently, it is difficult to obtain the macro strengths of rock, which are the key indexes for engineering design, via standard rock mechanical tests. This research indicates that by determining and leveraging the mechanical properties of grains and grain-to-grain interfaces
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Defect effect on high strain rate compressive behaviors of 3D braided composites Int. J. Damage Mech. (IF 4.2) Pub Date : 2024-04-20 Jinhui Guo, Yousong Xue, Bohong Gu, Baozhong Sun
Defect effects of carbon fiber composites under dynamic impact conditions are important to mechanical behavior design in the aerospace field. Here we report the defect effect on the impact compressive behavior of 3D braided composites at high strain rates from 550/s to 1240/s. The defect effect on damage behavior was observed by high-speed photography and digital image correlation (DIC) technology
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A new unsymmetrical decomposition of the damage variable Int. J. Damage Mech. (IF 4.2) Pub Date : 2024-04-19 George Z Voyiadjis, Peter I Kattan
This work focuses on the dissection of the damage variable within solid materials. The underlying assumption is that damage within a solid primarily stems from the presence of various defects. The conventional approach to breaking down the damage variable into two parts – one attributed to the first defect type and the other to the second defect type – is both explored and expanded in a coherent mathematical
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Active learning-assisted multi-fidelity surrogate modeling based on geometric transformation Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-18 Chunlong Hai, Weiqi Qian, Wenzheng Wang, Liquan Mei
Multi-fidelity data are common in various scientific and engineering fields. High-fidelity data, often more accurate, come with greater expense, such as precision experimental testing or high-resolution simulation. Conversely, low-fidelity data are less accurate but more cost-effective. Multi-fidelity surrogate modeling, which integrates multi-fidelity data to build a model, is widely used for its
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Experiments and modeling of the coupled viscoelasticity and Mullins effect in filled rubber materials J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-18 Keven Alkhoury, Robert Ivko, Mokarram Hossain, Siva Nadimpalli, Shawn A. Chester
Filled rubber-like materials are widely used in engineering applications, and are known to exhibit a rate-dependent non-linear inelastic behavior, and stress-softening, also known as the Mullins effect is frequently encountered. In this work, we characterized and modeled the constitutive response of a handful of commercially available filled rubber-like materials. We first perform a set of large-deformation
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One-way thermomagnetic simulation of magnetic coupling in natural gas pressure energy utilization Eng. Appl. Comput. Fluid Mech. (IF 6.1) Pub Date : 2024-04-16 Yanqin Mao, Liang Cai, Roman Chertovskih, Wanjun Guo, Xiaoyue Wang
Magnetic coupling is an approach employed to prevent gas leakage by transforming the dynamic seal into a non-contact static seal for the recovery of natural gas pressure energy. The impact of therm...
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Analysis of chemical reactive nanofluid flow on stretching surface using numerical soft computing approach for thermal enhancement Eng. Appl. Comput. Fluid Mech. (IF 6.1) Pub Date : 2024-04-17 Saleem Nasir, Abdallah S. Berrouk, Taza Gul
In this work, computational intelligence methodologies are used to investigate the trihybrid nanofluid, a new theoretical model with remarkable thermal transmission properties to enhance liquid the...
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Online prediction of ship maneuvering motions based on adaptive weighted ensemble learning under dynamic changes Eng. Appl. Comput. Fluid Mech. (IF 6.1) Pub Date : 2024-04-16 Yaohui Yu, Hongbin Hao, Zihao Wang, Yan Peng, Shaorong Xie
Dynamic changes in ship maneuverability challenge the accuracy and effectiveness of ship maneuvering models. This paper proposes an online prediction method based on the adaptive weighted ensemble ...
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A computational framework for large strain electromechanics of electro-visco-hyperelastic beams Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-17 Nasser Firouzi, Timon Rabczuk, Javier Bonet, Krzysztof Kamil Żur
In this paper, a new framework for large strain of electro-active viscoelastic polymeric beams is developed. The kinematical quantities of beam are derived, and then the constitutive equations of electromechanical beam are developed. To expand the formulation to viscoelastic regime, a generalization of quasi-linear viscoelasticity theory for electo-mechanical deformation is developed and called electro-mechanical
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Solving the discretised multiphase flow equations with interface capturing on structured grids using machine learning libraries Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-17 Boyang Chen, Claire E. Heaney, Jefferson L.M.A. Gomes, Omar K. Matar, Christopher C. Pain
This paper solves the discretised multiphase flow equations using tools and methods from machine-learning libraries. The idea comes from the observation that convolutional layers can be used to express a discretisation as a neural network whose weights are determined by the numerical method, rather than by training, and hence, we refer to this approach as Neural Networks for PDEs (NN4PDEs). To solve
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New insights into the load sequence effect: Experimental characterization and incremental modeling of plain high-strength concrete under mode II fatigue loading with variable amplitude Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-17 Henrik Becks, Martin Classen
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Micro-mechanics investigation of heterogeneous deformation fields and crack initiation driven by the local stored energy density in austenitic stainless steel welded joints J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-17 Lifeng Gan, Baoyin Zhu, Chao Ling, Dongfeng Li, Esteban P. Busso
This work investigates the heterogeneous deformation and failure of HR3C austenitic stainless steel welded joints at room and typical service temperatures. Such types of welded joints are widely used in the new generation of fossil fuel power stations and are known to suffer from premature high temperature failure. Observation of in-service failures revealed that cracks may nucleate either in the heat
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Modeling solidification cracking: A new perspective on solid bridge fracture J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-17 Wenbin Liu, Gan Li, Jian Lu
Solidification cracking is a longstanding and serious problem in metallurgical engineering that is encountered during casting, welding, and additive manufacturing. Extensive research has been conducted on the cracking susceptibility associated with solidification paths, microstructural effects, and thermal conditions, but it remains highly challenging to precisely predict and evaluate the solidification
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Convex model-based regularization method for force reconstruction Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-16 Qinghe Shi, Bochao Lin, Chen Yang, Kejun Hu, Wenqin Han, Zhenxian Luo
In the process of reconstructing structural forces, the influence of measurement errors and inherent model inaccuracies cannot be ignored. These errors exhibit a degree of correlation, and the presence of such correlation inevitably affects the quantification of uncertainties in force reconstruction. Objectively, the inherent ill-posed nature of structural inverse problems makes it difficult to obtain
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A conservative discontinuous-Galerkin-in-time (DGiT) multirate time integration framework for interface-coupled problems with applications to solid–solid interaction and air–sea models Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-16 Jeffrey M. Connors, Justin Owen, Paul Kuberry, Pavel Bochev
In this paper we extend the DGiT multirate framework, developed in Connors and Sockwell (2022) for scalar transmission problems, to a solid–solid interaction (SSI) problem involving two coupled elastic solids and a coupled air–sea model with the rotating, thermal shallow water equations. In so doing we aim to demonstrate the broad applicability of the mathematical theory and governing principles established
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Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-16 Jan Niklas Fuhg, Reese Edward Jones, Nikolaos Bouklas
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Enhanced cyclic stress response and low-cycle fatigue life of modified 9Cr-1Mo steel by wire-arc additive manufacturing and post-heat treatment Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-16 Shouwen Shi, Xiaomei Liu, Gaoyuan Xie, Xu Chen
Wire-arc additive manufacturing (WAAM) is a promising technique to fabricate large-size components with high efficiency. However, the changes in microstructure induced by WAAM and its impact on the fatigue behavior remain unclear. In this study, the microstructure and low-cycle fatigue mechanisms of modified 9Cr-1Mo ferritic/martensitic steel fabricated by WAAM at 350 °C are investigated, and different
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Scaling-law variance and invariance of cell plasticity J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-16 Jiu-Tao Hang, Huan Wang, Guang-Kui Xu
Scaling-laws are ubiquitous as universal physical principles in physics, biological systems, and human behavior. The scaling-law rheological responses of viscoelastic and plastic deformations and rate-dependent softening and stiffening during dynamic loading are remarkable characteristics of living cells and cell-like materials; however, the underlying mechanisms remain poorly understood. Here, we
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A predictive model for fluid-saturated, brittle granular materials during high-velocity impact events J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-16 Aaron S. Baumgarten, Justin Moreno, Brett Kuwik, Sohanjit Ghosh, Ryan Hurley, K.T. Ramesh
Granular materials – aggregates of many discrete, disconnected solid particles – are ubiquitous in natural and industrial settings. Predictive models for their behavior have wide ranging applications, e.g. in defense, mining, construction, pharmaceuticals, and the exploration of planetary surfaces. In many of these applications, granular materials mix and interact with liquids and gases, changing their
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GO-MELT: GPU-optimized multilevel execution of LPBF thermal simulations Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-15 Joseph P. Leonor, Gregory J. Wagner
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Study of fatigue crack propagation on modified CT specimens under variable amplitude loadings using machine learning Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-15 B. Santos, V. Infante, T. Barros, R. Baptista
This study focuses on predicting fatigue crack paths and fatigue life in modified compact tension specimens, under mixed mode and variable amplitude loading conditions, using Machine Learning techniques. Mixed-mode conditions were induced by using specimens that incorporated holes with different radii and center coordinates. Initially, multiple Finite Element Method (FEM) simulations were conducted
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Interfacial failure behavior of Thermal Barrier Coatings (TBCs) at high temperatures: An in-situ indentation study based on X-ray imaging J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-14 Sangyu Luo, Ruizhe Huang, Haoran Bai, Peng Jiang, Zhaoliang Qu, Daining Fang
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Multi-scale time-stepping of Partial Differential Equations with transformers Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-13 AmirPouya Hemmasian, Amir Barati Farimani
Developing fast surrogates for Partial Differential Equations (PDEs) will accelerate design and optimization in almost all scientific and engineering applications. Neural networks have been receiving ever-increasing attention and demonstrated remarkable success in computational modeling of PDEs, however; their prediction accuracy is not at the level of full deployment. In this work, we utilize the
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Isogeometric form finding of membrane shells by optimised Airy stress function Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-12 Claudia Chianese, Luciano Rosati, Francesco Marmo
A two-stage form-finding procedure, based on Isogeometric Analysis (IgA), is proposed to determine the configuration of shells having a prescribed planar footprint so as to carry applied loads in a state of purely membrane stresses. The boundary-value problem of a membrane shell is described by Pucher’s equation in terms of Airy stress function, external loads and shell mid-plane elevation. Within
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Experimental and damage model study of layered shale under different moisture contents Int. J. Damage Mech. (IF 4.2) Pub Date : 2024-04-12 Qi Xian-yin, Geng Dian-dong, Xu Ming-zhe, Ke Ting
To investigate the mechanical properties and damage evolution law of layered shale under varying moisture contents, we conducted triaxial compression experiments on rock samples with different bedding angles and moisture levels. This study analyzed the variations in mechanical properties of layered shale under different conditions, and established a predicted model for elastic modulus based on different
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Nonlinear elasticity with the Shifted Boundary Method Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-11 Nabil M. Atallah, Guglielmo Scovazzi
We propose a new unfitted/immersed computational framework for nonlinear solid mechanics, which bypasses the complexities associated with the generation of CAD representations and subsequent body-fitted meshing. This approach allows to speed up the cycle of design and analysis in complex geometry and requires relatively simple computer graphics representations of the surface geometries to be simulated
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Maximum bound principle and non-negativity preserving ETD schemes for a phase field model of prostate cancer growth with treatment Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-11 Qiumei Huang, Zhonghua Qiao, Huiting Yang
Prostate cancer (PCa) is a significant global health concern that affects the male population. In this study, we present a numerical approach to simulate the growth of PCa tumors and their response to drug therapy. The approach is based on a previously developed model, which consists of a coupled system comprising one phase field equation and two reaction–diffusion equations. To solve this system,
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Eulerian formulation of the tensor-based morphology equations for strain-based blood damage modeling Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-11 Nico Dirkes, Fabian Key, Marek Behr
The development of blood-handling medical devices, such as ventricular assist devices, requires the analysis of their biocompatibility. Among other aspects, this includes , i.e., red blood cell damage. For this purpose, computational fluid dynamics (CFD) methods are employed to predict blood flow in prototypes. The most basic hemolysis models directly estimate red blood cell damage from fluid stress
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Accelerated computational micromechanics for solute transport in porous media Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-11 Mina Karimi, Kaushik Bhattacharya
Reactive transport in permeable porous media is relevant for a variety of applications, but poses a significant challenge due to the range of length and time scales. Multiscale methods that aim to link microstructure with the macroscopic response of geo-materials have been developed, but require the repeated solution of the small-scale problem and provide the motivation for this work. We present an
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Evolving fatigue damage detection based on multi-component nonlinear modulation mechanism of tuned laser-generated Rayleigh waves Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-11 Qichao Cheng, Jun He, Shixi Yang, Xin Xiong, Zhaoyu Liang, Yongshui Luo
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Gappy AE: A nonlinear approach for Gappy data reconstruction using auto-encoder Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-10 Youngkyu Kim, Youngsoo Choi, Byounghyun Yoo
We introduce a novel data reconstruction algorithm known as Gappy auto-encoder (Gappy AE) to address the limitations associated with Gappy proper orthogonal decomposition (Gappy POD), a widely used method for data reconstruction when dealing with sparse measurements or missing data. Gappy POD has inherent constraints in accurately representing solutions characterized by slowly decaying Kolmogorov N-widths
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An innovative way to measure fatigue crack growth without COD gauge Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-10 Bong-Sang Lee, Jung-Min Kim, Joon-Yeop Kwon, Jong-Min Kim, Min-Chul Kim
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Spherical Indentation and Implementation of S3/P for yield stress determination of brittle materials J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-10 B.L. Hackett, A.A. Wereszczak, E.G. Herbert, G.M. Pharr
A mathematically transparent and robust experimental method has been developed to estimate the yield stress of brittle materials through the analysis of depth-sensing spherical indentation. Employing Hertzian contact mechanics, an elastically invariant ratio based on the simple equation , (where S and P are contact stiffness and indentation load, respectively) has been derived that enables more accurate
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Energy quantification framework for underwater explosive loading into PVC foam cladded composite plates J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-10 Piyush Wanchoo, Akash Pandey, Matthew Leger, James LeBlanc, Arun Shukla
This paper presents a novel approach for analyzing the effects of near-field underwater blast loading on composite marine structures. The operational requirements of these structures often expose them to blast or shock loading, which can lead to significant damage. The study focuses on the propagation of spherical blast waves and the subsequent secondary bubble collapse pulse that affects the structure
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Analysis of ‘Investigating an extended multiphase flow model that includes specific interfacial area’, Computer Methods in Applied Mechanics and Engineering, 418:116594, 2024 Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-09 William G. Gray, Cass T. Miller
Comments are provided on the recent paper by Ebadi et al. (2024) which demonstrates that the formulated model that was solved contains misconceptions or errors that render the work unsuitable for describing the evolution of interfacial areas in two-fluid porous medium systems. The need for kinematic equations is described and components of a theoretically consistent approach are summarized.
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Stress-hybrid virtual element method on six-noded triangular meshes for compressible and nearly-incompressible linear elasticity Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-09 Alvin Chen, Joseph E. Bishop, N. Sukumar
In this paper, we present a first-order Stress-Hybrid Virtual Element Method (SH-VEM) on six-noded triangular meshes for linear plane elasticity. We adopt the Hellinger–Reissner variational principle to construct a weak equilibrium condition and a stress based projection operator. In each element, the stress projection operator is expressed in terms of the nodal displacements, which leads to a displacement
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A hybrid virtual element formulation for 2D elasticity problems Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-09 F.S. Liguori, A. Madeo, S. Marfia, E. Sacco
In this paper, a hybrid variational framework for the Virtual Element Method (VEM) is proposed and a family of polygonal elements for plane elasticity is developed. Under specific assumptions, it is proved that the minimization of Total Potential Energy and the projection operation typical of enhanced VEM can be deduced from the stationary condition of the Hellinger–Reissner mixed functional. Since
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A two-point fatigue strength assessment for surface-hardened notched components under consideration of residual stresses based on the local strain approach Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-09 Patrick Yadegari, Heinz Thomas Beier, Michael Vormwald
The “Guideline non-linear” of the German Research Association for Mechanical Engineering provides a fatigue strength assessment for machine components based on the local strain approach. Currently, this assessment is limited to homogeneous components and without the possibility to consider residual stresses. The methods are thus inadequate for surface-hardened components, where the presence of material
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A non-ordinary state-based peridynamic model for creep–fatigue behavior and damage evolution Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-09 Han Dong, Han Wang, Weizhe Wang, Yingzheng Liu
A peridynamic creep–fatigue model is proposed to study creep–fatigue mechanical responses and damage behaviors. A non-unified constitutive model is reformulated in a nonlocal form in the peridynamic-based framework. A probabilistic peridynamic damage criterion is proposed for characterizing creep–fatigue damage. The simulated mechanical responses are in good agreement with the results of creep–fatigue
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Fractional cyclic cohesive zone model for time-dependent fatigue behavior of soft adhesives under mode-II loading Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-09 Zhuoran Yang, Yan Xia, Chengbin Yao, Zhongmeng Zhu, Zhanli Liu, Han Jiang, Kaijie Wang
Soft adhesives exhibit nonlinear viscoelastic behavior during cyclic loading, suggesting that their cycle-dependent fatigue behavior can be significantly affected by the time-dependent deformation behavior. Soft adhesives are frequently subject to various cyclic conditions in practical applications, presenting potential safety risks. This paper has proposed a fractional cyclic cohesive zone model (CZM)
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Influence of corrosion fatigue on the stress gradient effect of the aluminium alloy EN AW-6082 T6 Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-09 Markus Schönowitz, Bernd Maier, Florian Grün
This study investigates the influence of corrosion fatigue on the fatigue strength of the aluminium alloy EN AW-6082 T6 with regard to the stress gradient. The experimental design involves varying loading conditions and specimen geometries to facilitate testing under three distinct stress gradients: tension/compression (0mm), rotary bending (0.2mm), notched rotary bending (5.3mm). Reference constant
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A novel continuum dislocation density field-based crystal plasticity theory J. Mech. Phys. Solids (IF 5.3) Pub Date : 2024-04-09 Qichao Ruan, Esteban P. Busso, Zhangchen Fan, Chao Ling, Dongfeng Li
In this work, a novel dislocation density field-based crystal plasticity formulation, that incorporates up-scaled continuum dislocation density fields to represent all possible characters of the dislocation density, is presented. The continuum dislocation field theory, formulated assuming large strain kinematics, is based on an all-dislocation concept, whereby individual dislocation density types are
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A fast cosine transformation accelerated method for predicting effective thermal conductivity Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-08 Changqing Ye, Shubin Fu, Eric T. Chung
Predicting effective thermal conductivity by solving a Partial Differential Equation (PDE) defined on a high-resolution Representative Volume Element (RVE) is a computationally intensive task. In this paper, we tackle the task by proposing an efficient and implementation-friendly computational method that can fully leverage the computing power offered by hardware accelerators, namely, graphical processing
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Model order reduction of time-domain vibro-acoustic finite element simulations with poroelastic materials Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-08 Yinshan Cai, Sjoerd van Ophem, Wim Desmet, Elke Deckers
This paper presents a stability-preserving model reduction approach for a vibro-acoustic finite element model including poroelastic materials. Most of the research on these systems in the past was conducted in the frequency domain and there were less focus on the stability properties. However, with the increasing of interest in time-domain auralization and virtual sensing, stability-preserving model
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Sparse learning model with embedded RIP conditions for turbulence super-resolution reconstruction Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-08 Qinyi Huang, Wei Zhu, Feng Ma, Qiang Liu, Jun Wen, Lei Chen
In practical engineering scenarios, constraints arising from sensor placement, quantity, and the limitations of current testing technologies often lead to turbulence data characterized by low resolution and irregular structures. Turbulence super-resolution reconstruction is crucial for extracting finer details from irregularly structured, low-resolution measurement data, thereby facilitating comprehensive
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A multivariate level set method for concurrent optimization of graded lattice structures with multiple microstructure prototypes Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-08 Zhengtao Shu, Liang Gao, Hao Li
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Characterization and application of maximum entropy fatigue damage model based on digital image correlation and inverse analysis Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-08 Xing Chen, Xiaozhe Ju, Hongshi Ruan, Qingpeng Shan, Yijian Wang, Yangjian Xu, Junjun Chen, Lihua Liang, Shaojun Xie
In this study, a progress damage model that integrates the Maximum Entropy Fracture Model (MEFM) with the A-F kinematic hardening model is proposed to characterize the low-cycle fatigue damage behavior of metals. The MEFM establishes a correlation between the damage value and cumulative dissipation at the integration point through a damage accumulation parameter. Concurrently, the constitutive relationship
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Prediction of CO2 emission for the central European countries through five metaheuristic optimization techniques helping multilayer perceptron Eng. Appl. Comput. Fluid Mech. (IF 6.1) Pub Date : 2024-04-06 Hossein Moayedi, Azfarizal Mukhtar, Serhan Alshammari, Mohamed Boujelbene, Isam Elbadawi, Quynh T Thi, Mojtaba Mirzaei
One of the most significant issues in urban design is energy-related CO2 emissions, which are rising quickly as cities expand. The GDP of the Central European countries (from 1990 to 2016) based on...
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Modeling the failure process of rock masses using a 3D nodal-based continuous-discontinuous deformation analysis method Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-06 Yang Xia, Yongtao Yang
A three-dimensional nodal-based continuous-discontinuous deformation analysis method (3D-NCDDAM) is developed in this study for modeling the failure process of rock masses. In the 3D-NCDDAM, four-node tetrahedral elements which can be automatally generated are used to discretize the problem domain. To reduce computational cost, and effectively model the failure process of rock masses at concerned regions
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A non-uniform rational B-splines (NURBS) based optimization method for fiber path design Comput. Methods Appl. Mech. Eng. (IF 7.2) Pub Date : 2024-04-06 Xuyu Zhang, Yi Min Xie, Cong Wang, He Li, Shiwei Zhou
This work presents a systematic optimization method utilizing non-uniform rational B-splines (NURBS) to represent fibers in composites and design their paths. Beyond mean compliance, the objective function incorporates repulsive energy to prevent fiber knots and intersections. Utilizing NURBS control points as design variables reduces the number of design variables and expands the solution space, as
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A new progressive fatigue damage model for the three-dimensional braided composites subjected to locally-variable-amplitude loading Int. J. Fatigue (IF 6.0) Pub Date : 2024-04-06 Jingran Ge, Zengfei Liu, Xinyu Hu, Xiaodong Liu, Bingyao Li, Chunwang He, Jun Liang