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A review of multiaxial low-cycle fatigue criteria for life prediction of metals Int. J. Damage Mech. (IF 4.0) Pub Date : 2024-09-24 Lorenzo Pagliari, Franco Concli
Most of real-world structural components that undergo cyclic loading feature multiaxial fatigue. When the cyclic loading involves also significant plastic deformation, multiaxial low-cycle fatigue takes place. Applications where multiaxial low-cycle fatigue can be observed very often involve metal components. To predict their lives multiple criteria and models have been proposed, but their development
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Damage investigation of hybrid flax-glass/epoxy composites subjected to impact fatigue under water ageing Int. J. Damage Mech. (IF 4.0) Pub Date : 2024-09-24 A Goumghar, K Azouaoui, M Assarar, W Zouari, S Mouhoubi, R Ayad, A El Mahi
The aim of this study is to investigate the fatigue behaviour of hybrid flax-glass/epoxy composites under repeated impact loading subsequent to water ageing. Different plates of these composite materials were fabricated using the vacuum infusion technique. Five stacking sequences were considered: [F8], [G/F3]S, [G2/F2]S, [G3/F]S, and [G8], where F and G stand for flax/epoxy and glass/epoxy plies, respectively
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Neural downscaling for complex systems: from large-scale to small-scale by neural operator Eng. Appl. Comput. Fluid Mech. (IF 5.9) Pub Date : 2024-09-19 Pengyu Lai, Jing Wang, Rui Wang, Dewu Yang, Haoqi Fei, Yihe Chen, Hui Xu
Researchers have long been working on interpreting and predicting the dynamics of complex systems in various fields. Conventional methods including full-scale simulations and reduced-order models a...
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Multiscale contact homogenisation: A novel perspective through the method of multiscale virtual power Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-21 António M. Couto Carneiro, Francisco M. Andrade Pires, Eduardo A. de Souza Neto
The interaction between deformable bodies and rigid foundations undergoing finite strains is explored in this work with the Method of Multiscale Virtual Power, unlocking novel insights into contact homogenisation theories. The focus lies in establishing the foundational kinematical links across scales and achieving seamless homogenisation of the traction vector through rigorous duality arguments. Two
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Enhancing subset simulation through Bayesian inference Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-21 Zihan Liao, Xiao He, Weili Xia
Analyzing and reducing uncertainty in estimating failure probability has always been a crucial part of reliability analysis using Monte Carlo simulation. This paper employs Bayesian inference to capture uncertainty within Subset Simulation (SuS), with a specific emphasis on constructing the posterior distribution of failure probability. Two types of Bayesian models are discussed. The first type is
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A novel reliability-based design optimization method through instance-based transfer learning Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-21 Zhe Zhang, Haibo Liu, Tianhao Wu, Jingyu Xu, Chao Jiang
The RBDO optimization process consists of two main steps: iterative updating of design points and repeated reliability analysis at these different design points. A large number of performance function calls are usually necessary for each reliability analysis, and it involves with the repeated reliability analysis at different design pints, leading to potentially prohibitive computational cost when
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Mechanical identification with the reconditioned equilibrium gap method: Formulation, analysis and comparisons Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-21 Rémi Haustrate, François Hild, Amélie Fau
Full-field measurements are used to calibrate material parameters. The Equilibrium Gap Method (EGM), like other identification formulations that use full-field data has the advantage of being direct for linear behavior and some nonlinearities, thereby being computationally cheaper than iterative methods. However, it has a high sensitivity to measurement uncertainties, which is detrimental when dealing
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KAN-ODEs: Kolmogorov–Arnold network ordinary differential equations for learning dynamical systems and hidden physics Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-19 Benjamin C. Koenig, Suyong Kim, Sili Deng
Kolmogorov–Arnold networks (KANs) as an alternative to multi-layer perceptrons (MLPs) are a recent development demonstrating strong potential for data-driven modeling. This work applies KANs as the backbone of a neural ordinary differential equation (ODE) framework, generalizing their use to the time-dependent and temporal grid-sensitive cases often seen in dynamical systems and scientific machine
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A variationally consistent membrane wrinkling model based on spectral decomposition of the strain tensor Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-19 Daobo Zhang, Josef Kiendl
We propose a novel variationally consistent membrane wrinkling model for analyzing the mechanical responses of wrinkled thin membranes. The elastic strain energy density is split into tensile and compressive terms via a spectral decomposition of the strain tensor. Tensile and compressive parts of the stress and constitutive tensors are then obtained via consistent variation from the respective strain
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Predicting non-linear stress–strain response of mesostructured cellular materials using supervised autoencoder Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-19 Sushan Nakarmi, Jeffery A. Leiding, Kwan-Soo Lee, Nitin P. Daphalapurkar
Recent breakthroughs in advanced manufacturing capabilities have made it possible to design and print sophisticated topologies of cellular structures using diverse engineering materials such as metals, polymers, and ceramics. In these architectured materials, it is often desirable to tailor the mechanical properties by altering the unit cell topology. This necessitates an in-depth understanding of
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A novel sensitivity analysis method for multi-input-multi-output structures considering non-probabilistic correlations Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-19 Heng Ouyang, Hongbin Zhou, Haoyang Wang, Shuyong Duan, Xu Han
In practical engineering, a multi-input-multi-output (MIMO) structure generally features a significant number of correlated input parameters and output responses. Sensitivity analysis is usually adopted to select key parameters for improving the computational efficiency of structural analysis and design processes. Traditional sensitivity analysis methods based on probabilistic models for MIMO structures
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Electroactive differential growth and delayed instability in accelerated healing tissues J. Mech. Phys. Solids (IF 5.0) Pub Date : 2024-09-19 Yafei Wang, Zhanfeng Li, Xingmei Chen, Yun Tan, Fucheng Wang, Yangkun Du, Yunce Zhang, Yipin Su, Fan Xu, Changguo Wang, Weiqiu Chen, Ji Liu
Guided by experiments contrasting electrically accelerated recovery with natural healing, this study formulates a model to investigate the importance of electroactive differential growth and morphological changes in tissue repair. It underscores the clinical potential of leveraging electroactive differential growth for improved healing outcomes. The study reveals that voltage stimulation significantly
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An immersed multi-material arbitrary Lagrangian–Eulerian finite element method for fluid–structure-interaction problems Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-18 Zixian Sun, Zhixin Zeng, Jiasheng Li, Xiong Zhang
Fluid–structure-interaction (FSI) phenomena are widely concerned in engineering practice and challenge current numerical methods. In this article, the finite element method is strongly coupled with the multi-material arbitrary Lagrangian–Eulerian (MMALE) method to develop a monolithic FSI method named the immersed multi-material arbitrary Lagrangian–Eulerian finite element method (IALEFEM). By immersing
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A parameter-free and locking-free enriched Galerkin method of arbitrary order for linear elasticity Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-18 Shuai Su, Siyuan Tong, Mingyan Zhang, Qian Zhang
We propose a parameter-free and locking-free enriched Galerkin method of arbitrary order for solving the linear elasticity problem in both two and three space dimensions. Our method uses an approximation space that enriches the vector-valued continuous Galerkin space of order k with some discontinuous piecewise polynomials. To the best of our knowledge, it extends the locking-free enriched Galerkin
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Active learning inspired multi-fidelity probabilistic modelling of geomaterial property Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-18 Geng-Fu He, Pin Zhang, Zhen-Yu Yin
The identification of geomaterial properties is costly but pivotal for engineering design. A wide range of approaches perform well with sufficiently measured data but their performance is problematic for sparse data. To address this issue, this study proposes an active learning based multi-fidelity residual Gaussian process (AL-MR-GP) modelling framework. A low-fidelity (LF) prediction model is first
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Surface integrity and high-cycle fatigue life of direct laser metal deposited AISI 431 alloys modified by plasticity ball burnishing Int. J. Fatigue (IF 5.7) Pub Date : 2024-09-18 Mya Thit, Anthony Rocissano, Andre Hatem, Mohammad Uddin, Colin Hall, Thomas Schlaefer
Laser metal deposition (LMD) as an additive manufacturing (AM) is widely used to repair and extend wear and fatigue life of the critical components. This paper has investigated the application of ball burnishing (BB) to improve surface integrity and high-cycle fatigue resistance of LMDed AISI 431 alloys. Results showed that the BB treated samples exhibited significant surface finish improvement by
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Damage and fracture studies of continuous flax fiber-reinforced composites 3D printed by in-nozzle impregnation additive manufacturing Int. J. Damage Mech. (IF 4.0) Pub Date : 2024-09-18 Xikun Wu, Geoffrey Ginoux, Joseph Paux, Samir Allaoui
Additive manufacturing (AM) of continuous yarn-reinforced biobased composites presents multi-functional properties and low environmental impact of this technology. Few studies focused on the mechanical damage mechanisms of continuous biobased composites obtained by AM processes, while it is a topic of high interest for the mastery of mechanical behaviors and optimization of the materials for high requirement
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Learning the Hodgkin–Huxley model with operator learning techniques Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-17 Edoardo Centofanti, Massimiliano Ghiotto, Luca F. Pavarino
We construct and compare three operator learning architectures, DeepONet, Fourier Neural Operator, and Wavelet Neural Operator, in order to learn the operator mapping a time-dependent applied current to the transmembrane potential of the Hodgkin–Huxley ionic model. The underlying non-linearity of the Hodgkin–Huxley dynamical system, the stiffness of its solutions, and the threshold dynamics depending
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Analysis of high temperature and strain amplitude effects on low cycle fatigue behavior of pitting corroded killed E350 BR structural steel Int. J. Fatigue (IF 5.7) Pub Date : 2024-09-17 Siddharth Chauhan, S. Muthulingam, Samir Chandra Roy
High-tension structural steels are prone to accelerated fatigue damage from pitting corrosion and high-temperature. Despite adverse effects, research on their low cycle fatigue (LCF) behavior is limited. Specifically, studies analyzing temperature-dependent pit sensitivity effects, considering pit-related material’s susceptibility to surface topographic features variation and stress concentration are
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Effect of microstructure on small fatigue crack initiation and early propagation behavior in super martensite stainless steel Int. J. Fatigue (IF 5.7) Pub Date : 2024-09-17 Xue Li, Tian Ye, Yaohan Du, Min Zhan, Xiangyu Wang, Yajun Dai, Yongjie Liu, Chong Wang, Kun Yang, Chao He, Qingyuan Wang
The objective of this study is to investigate the influence mechanism of martensite multi-scale interfaces on the fatigue small cracks propagation behavior in super martensite stainless steel. The findings revealed that crack propagation slows during the transition from early to steady stages. Multiscale martensite interfaces can cause varying degrees of crack deflection, and cracks tend to propagate
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An iterative split scheme for steady flows with heterogeneous viscosity Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-16 J. Deteix, D. Yakoubi
This paper proposes a numerical scheme for the approximation of the solution of the Stokes or steady Navier–Stokes system for fluids with heterogeneous viscosity (generic bounded viscosity or shear thinning fluids). The scheme is based on a velocity–pressure splitting resembling a Uzawa approach combined with a grad-div stabilizing term. We establish the validity, convergence and a priori estimates
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Topology optimization using immersed isogeometric analysis and its software implementation Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-16 Xianda Xie, Shuting Wang, Qingtian Xie, Can Liu, Yuhang Ren, Aodi Yang
This work integrates the immersed isogeometric analysis (IGA) with topology optimization (IITO), which paves the way of seamless integration between CAD and CAE as well as topology optimization for complex engineering structures. A truncated hierarchical B-spline (THB) based local adaptivity strategy is proposed to improve the integral accuracy of trimmed elements for immersed IGA, and an adaptive
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Development of free-field and compliant base SPH boundary conditions for large deformation seismic response analysis of geomechanics problems Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-16 Trieu N. Hoang, Ha H. Bui, Thang T. Nguyen, Tien V. Nguyen, Giang D. Nguyen
Earthquake-induced geohazards are natural disasters that have the potential to cause severe damage to infrastructure and endanger human lives. To mitigate these natural disasters, advanced computational methods capable of dealing with large deformation and failure of geomaterials have been developed for years. Among those methods, the Smoothed Particle Hydrodynamics (SPH) method has been demonstrated
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α-lamella orientation dependence of fatigue crack propagation in as-forged TiB/near α-Ti composite Int. J. Fatigue (IF 5.7) Pub Date : 2024-09-16 Fanchao Meng, Rui Zhang, Shuai Wang, Fengbo Sun, Ming Ji, Cunyu Wang, Lujun Huang, Lin Geng
The influence of microstructural attributes on fatigue crack propagation in titanium matrix composite remains largely unexplored. The impact of α-lamella crystallographic and spatial orientations on fatigue crack propagation in an as-forged TiB/near α-Ti composite was investigated using innovative quantitative tilt fractography and electron backscattered diffraction techniques. Crack initiation was
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Exploring the strengthening mechanisms of additive manufactured metals treated by ultrasonic nanocrystal surface modification Int. J. Fatigue (IF 5.7) Pub Date : 2024-09-16 Yu Zhang, Lan Peng, Yixuan Ye, Yuanqing Chi, Le Gao, Xuming Zha, Tao Huang, Yongkang Zhang, Han Ding, Chang Ye
This study investigates the use of ultrasonic nanocrystal surface modification (UNSM) to enhance the surface integrity and mechanical properties of stainless steel fabricated using selective laser melting (SLM). The improved yield strength is primarily obtained from grain refinement, deformation-induced martensitic, and high density of dislocations and deformation twins. The superior fatigue resistance
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Intrinsic tensile brittleness of tilted grain boundaries and its shear toughening J. Mech. Phys. Solids (IF 5.0) Pub Date : 2024-09-16 Jia Meng, Shenyou Peng, Qihong Fang, Jia Li, Yujie Wei
In the endeavors of working with microstructures in polycrystalline metals for better strength and ductility, grain boundaries (GBs) are placed at the front burner for their pivotal roles in plastic deformation. Often the mechanical properties of polycrystalline metals are governed by mutual interactions among GBs and dislocations. A thorough comprehension of GB deformation is therefore critical for
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3D decomposition optimization of topology-optimized structures considering a build volume constraint for additive manufacturing Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-14 Hansu Kim, Il Yong Kim
The integration of topology optimization and additive manufacturing (AM) offers a transformative approach to designing and fabricating complex structures across various industries. This synergy enables engineers to produce lightweight, high-performance designs with intricate, organic geometries that push the boundaries of conventional manufacturing methods. However, printing large 3D objects that exceed
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A chemo-mechanical model for growth and mechanosensing of focal adhesion J. Mech. Phys. Solids (IF 5.0) Pub Date : 2024-09-14 Jiashi Xing, Fuqiang Sun, Yuan Lin, Ze Gong
Focal adhesion (FA), the complex molecular assembly across the lipid membrane, serves as a hub for physical and chemical information exchange between cells and their microenvironment. Interestingly, studies have shown that FAs can grow along the direction of contractile forces generated by actomyosin stress fibers and achieve larger sizes on stiffer substrates. In addition, the cellular traction transmitted
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Effort of damage parameter in assessment of low cycle fatigue Int. J. Damage Mech. (IF 4.0) Pub Date : 2024-09-14 Mykola Bobyr, Vadim Silberchmidt, Viktor Koval
A low-cycle fatigue (LCF) analysis is one of the main design stages for highly loaded structural elements used in various applications. For this analysis, it is necessary to determine the values of local stresses and deformations, taking into account both elastic and plastic regions in the zones of stress concentration. This study presents and assesses the engineering methods used for prediction of
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A novel statistical damage constitutive model of rock joints considering normal stress and joint roughness Int. J. Damage Mech. (IF 4.0) Pub Date : 2024-09-14 Qiuxin Gu, Qiang Zhang, Wanli Dai, Xiaowei Quan, Sizhe Ye, Tao Li
The shear constitutive model of rock joints is of great significance to the stability analysis in rock engineering, and it is closely related to the normal stress ([Formula: see text]) and joint roughness coefficient ( JRC). However, the existing investigations seldom consider the influences of [Formula: see text] and JRC simultaneously. Therefore, a novel damage constitutive model considering the
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Energy based damage model for low-cycle fatigue of ductile materials Int. J. Damage Mech. (IF 4.0) Pub Date : 2024-09-14 Zoran B Perović, Dragoslav M Šumarac, Stanko B Ćorić, Petar M Knežević, Maosen Cao, Ismail Nurković
A uniaxial material model for fatigue damage accumulation, established on the connection of unit elements, is presented in this paper. Although these units are regarded as micro-elements in the proposed model, they are based on a hysteretic operator that enables calculating hysteretic energy loss as an analytical expression. Further, this unit element represents a mechanical model with elastoplastic
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Influence of hydrothermal fatigue on mechanical properties and damage mechanisms of hemp-reinforced biocomposites and comparison with glass-reinforced composites Int. J. Damage Mech. (IF 4.0) Pub Date : 2024-09-14 Quentin Drouhet, Fabienne Touchard, Laurence Chocinski-Arnault
The aim of this work was to evaluate the tensile properties and the damage mechanisms of hemp and glass-reinforced composites when they were subjected to hydrothermal fatigue. Each wet/dry cycle consisted in immersing samples in water at 60°C during 12 days and drying them in an oven at 40°C during 2 days. Three different matrices (Epolam, Greenpoxy and Elium) were studied with two reinforcement orientations
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Computational analysis of turbulent flow characteristics in nanofluids containing 1-D and 2-D carbon nanomaterials: grid optimization and performance evaluation Eng. Appl. Comput. Fluid Mech. (IF 5.9) Pub Date : 2024-09-11 Hai Tao, Mohammed Suleman Aldlemy, Raad Z. Homod, Mustafa K. A. Mohammed, Abdul Rahman Mallah, Omer A. Alawi, Shafik S. Shafik, Hussein Togun, Blanka Klimova, Hassan Alzahrani, Zaher Mundher Yaseen
1D and 2D carbon nanomaterials such as multi-walled carbon nanotubes (MWCNTs) and graphene nanoplatelets (GNPs) were investigated numerically. The thermophysical properties of water and nanofluids ...
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Dynamic and modal analysis of nearly incompressible structures with stabilised displacement-volumetric strain formulations Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-13 Rubén Zorrilla, Riccardo Rossi, Ramon Codina
This paper presents a dynamic formulation for the simulation of nearly incompressible structures using a mixed finite element method with equal-order interpolation pairs. Specifically, the nodal unknowns are the displacement and the volumetric strain component, something that makes possible the reconstruction of the complete stain at the integration point level and thus enables the use of strain-driven
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Structural reliability analysis with parametric p-box uncertainties via a Bayesian updating BDRM Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-13 Jun Xu, Ting Zhang, Long Li, Quanfu Yu
The parametric probability-box model, often abbreviated as “p-box” is frequently used to characterize epistemic uncertainties. However, structural reliability analysis with p-box uncertainties can often be computationally intensive. This paper presents an efficient method to accurately compute the bounds of failure probabilities within this context. The method’s key innovation lies in its ability to
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Tailored Functionally Graded Materials design and concurrent topology optimization with implicit fields Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-13 Lingfeng Li, Qiong Pan, Xiaoya Zhai, Falai Chen
Tailored unctionally raded aterials (FGMs) offer the ability to design and engineer materials with specific properties at a changing volume fraction and are widely used in various fields such as aerospace, biomedical engineering, etc. The precise control of physical properties and the connectivity of microstructural sequences are two main challenges in multiscale problems. This paper constructs a novel
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Quantum computing and tensor networks for laminate design: A novel approach to stacking sequence retrieval Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-12 Arne Wulff, Boyang Chen, Matthew Steinberg, Yinglu Tang, Matthias Möller, Sebastian Feld
As with many tasks in engineering, structural design frequently involves navigating complex and computationally expensive problems. A prime example is the weight optimization of laminated composite materials, which to this day remains a formidable task, due to an exponentially large configuration space and non-linear constraints. The rapidly developing field of quantum computation may offer novel approaches
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Learning macroscopic equations of motion from dissipative particle dynamics simulations of fluids Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-12 Matevž Jug, Daniel Svenšek, Tilen Potisk, Matej Praprotnik
Macroscopic descriptions of both natural and engineered materials usually include a number of phenomenological parameters that have to be estimated from experiments or large-scale microscopic simulations. When dealing with advanced complex materials, these descriptions are sometimes not available or not even known. Using sparsity-promoting techniques one can extract macroscopic dynamic models directly
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Particle inverse method for full-field displacement and crack propagation monitoring from discrete sensor measurements Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-12 A. Kefal, M.H. Bilgin, A. Kendibilir
This study presents the Particle Inverse Method (PIM), a novel structural health monitoring technique for real-time, full-field monitoring of deformations and damages/cracks in structures using discrete sensor data. Towards this end, the PIM mathematically unifies the concepts of the inverse finite element method and peridynamics differential operator for the first time, thus creating a fully meshless
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Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-12 Govinda Anantha Padmanabha, Jan Niklas Fuhg, Cosmin Safta, Reese E. Jones, Nikolaos Bouklas
Most scientific machine learning (SciML) applications of neural networks involve hundreds to thousands of parameters, and hence, uncertainty quantification for such models is plagued by the curse of dimensionality. Using physical applications, we show that sparsification prior to Stein variational gradient descent (+SVGD) is a more robust and efficient means of uncertainty quantification, in terms
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Correlation structures of statistically isotropic stiffness and compliance TRFs through upscaling Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-12 Yaswanth Sai Jetti, Martin Ostoja-Starzewski
This paper reports a procedure to develop random fields of material properties on a mesoscale level, coarser than the microscale level of heterogeneous material microstructure. Since the anisotropy of properties at the mesoscale level is unavoidable, tensor-valued random fields (TRFs) need to be constructed. The construction satisfies three criteria: (i) the passage from the micro to mesoscale must
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Physics informed self-supervised segmentation of elastic composite materials Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-12 Guilherme Basso Della Mea, Cristian Ovalle, Lucien Laiarinandrasana, Etienne Decencière, Petr Dokládal
This work presents the application of Physics Informed Deep Learning models for both surrogate modelling and segmentation of composite materials. The segmentation is performed in a self-supervised manner, where, in the absence of ground truth images, the predicted stress field is used as the target of the deep learning model with a novel loss function. Our surrogate modelling approach prioritises model
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Numerical methods for shape optimal design of fluid–structure interaction problems Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-12 Johannes Haubner, Michael Ulbrich
We consider the method of mappings for performing shape optimization for unsteady fluid–structure interaction (FSI) problems. In this work, we focus on the numerical implementation. We model the optimization problem such that it takes several theoretical results into account, such as regularity requirements on the transformations and a differential geometrical point of view on the manifold of shapes
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A new mixed variational approach for Kirchhoff shells and [formula omitted] discretization with finite element exterior calculus Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-12 Jamun Kumar N., J.N. Reddy, Arun R. Srinivasa, Debasish Roy
We propose a geometrically-inspired mixed variational approach for nonlinear analysis of Kirchhoff shells based on Cartan’s moving frames. We use a two-parameter family of points (the mid-surface) and a two-parameter family of orthonormal frames (Cartan’s moving frames) introduced independently. Compatibility of the mid-surface vis-á-vis the frame field is enforced by appropriately constructing a functional
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An efficient phase-field framework for contact dynamics between deformable solids in fluid flow Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-12 Biswajeet Rath, Xiaoyu Mao, Rajeev K. Jaiman
Elastic contact in hydrodynamic environments is a complex multiphysics phenomenon and can be found in applications ranging from engineering to biological systems. Understanding the intricacies of this coupled problem requires the development of a generalized framework capable of handling topological changes and transitioning implicitly from fluid–structure interaction (FSI) conditions to solid–solid
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Viscous stress approximations in diffuse interface methods for two-phase flow based on mechanical jump conditions Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-12 Martin Reder, Andreas Prahs, Daniel Schneider, Britta Nestler
Diffuse interface approaches for multi-phase flow such as Hohenberg–Halperin type models require the approximation of material properties in the diffuse transition region. Different interpolation schemes achieving this are employed in literature. The present work focuses on such diffuse interface approximation of viscous stress. It is shown, that a viscosity interpolation based on the arithmetic mean
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Using physics-informed neural networks to predict the lifetime of laser powder bed fusion processed 316L stainless steel under multiaxial low-cycle fatigue loading Int. J. Fatigue (IF 5.7) Pub Date : 2024-09-12 Michal Bartošák, Jiří Halamka, Libor Beránek, Martina Koukolíková, Michal Slaný, Marek Pagáč, Jan Džugan
Axial-torsional Low-Cycle Fatigue (LCF) tests were conducted under strain control on Additively Manufactured (AM) 316L stainless steel using laser powder bed fusion. The tests covered various strain amplitudes under tension-compression, proportional, and pure shear loading paths. The AM 316L stainless steel exhibited cyclic softening and transgranular cracking under all the investigated loading conditions
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Evaluating the damage tolerant behavior of cold spray repaired aluminum alloys Int. J. Fatigue (IF 5.7) Pub Date : 2024-09-12 Patrick E. Morrison, Krzysztof S. Stopka, John I. Ferguson, Michael D. Sangid
Cold spray presents a promising solution for repair of damaged material within high-value components. However, before employing cold spray for component repair, it is crucial to assess its damage tolerance and durability. This study focuses on evaluating the fatigue behavior of helium-sprayed AA6061 applied to an A356-T6 cast substrate compared to the same specimen geometry made entirely of the A356-T6
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Standard specimen geometries do not always lead to consistent fatigue results for epoxy adhesives Int. J. Fatigue (IF 5.7) Pub Date : 2024-09-12 Filippo Mannino, Dharun V. Srinivasan, Daniele Fanteria, Anastasios P. Vassilopoulos
This paper questions the recommendation regarding the use of standard specimen geometries, (Type I, Type II, and Type IV), for estimating the tensile quasi-static and fatigue properties of structural epoxy adhesives. The work presents results from an experimental program investigating the performance of structural epoxy adhesives indicating a significant effect of the specimen geometry, especially
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A stacking ensemble model for predicting the flexural fatigue life of fiber-reinforced concrete Int. J. Fatigue (IF 5.7) Pub Date : 2024-09-12 Wan-lin Min, Wei-liang Jin, Yen-yi Hoo, Hailong Wang, Xiaoyu He, Yongke Wei, Jin Xia
The incorporation of fibers into concrete enhances its fatigue resistance while also increasing the variability in flexural fatigue life, necessitating the development of advanced predictive models. To address this challenge, this study innovates by developing a stacking ensemble prediction model aimed at accurately predicting the flexural fatigue life of fiber-reinforced concrete (FRC). This model
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Instabilities and Mixing in Inertial Confinement Fusion Annu. Rev. Fluid Mech. (IF 25.4) Pub Date : 2024-09-11 Ye Zhou, James D. Sadler, Omar A. Hurricane
By imploding fuel of hydrogen isotopes, inertial confinement fusion (ICF) aims to create conditions that mimic those in the Sun's core. This is fluid dynamics in an extreme regime, with the ultimate goal of making nuclear fusion a viable clean energy source. The fuel must be reliably and symmetrically compressed to temperatures exceeding 100 million degrees Celsius. After the best part of a century
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Fluid Mechanics of the Dead Sea Annu. Rev. Fluid Mech. (IF 25.4) Pub Date : 2024-09-11 Eckart Meiburg, Nadav G. Lensky
The environmental setting of the Dead Sea combines several aspects whose interplay creates flow phenomena and transport processes that cannot be observed anywhere else on Earth. As a terminal lake with a rapidly declining surface level, the Dead Sea has a salinity that is close to saturation, so that the buoyancy-driven flows common in lakes are coupled to precipitation and dissolution, and large amounts
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Shape optimization of bellmouth to improve flow uniformity under non-aligned inflow condition in gas turbine casing Eng. Appl. Comput. Fluid Mech. (IF 5.9) Pub Date : 2024-09-11 Myoung Hun Han, Jin Hyeong Park, Jae Sung Yang, Sang Youl Yoon, June Kee Min
A shape optimization process for a bellmouth in a gas turbine casing under high Reynolds number was conducted using computational fluid dynamics. The bellmouth connected to the nozzle guide vane wa...
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How do multiple active cellular forces co-regulate wound shape evolution? J. Mech. Phys. Solids (IF 5.0) Pub Date : 2024-09-11 Qianchun Wang, Shijie He, Baohua Ji
Wound closure is a fundamental procedure in many physiological and pathological processes, driven by multiple active cellular forces. In the closure process the wound shape can evolve into round, oval, or slit. However, the underlying mechanisms that determine the mechanical strategies of wound shape evolution are unclear. To understand how these active forces co-regulate wound shapes, we constructed
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Nonlinear dynamics of a flexible rod partially sliding in a rigid sleeve under the action of gravity and configurational force J. Mech. Phys. Solids (IF 5.0) Pub Date : 2024-09-11 Yury Vetyukov, Alexander Humer, Alois Steindl
We investigate various methods of analyzing systems with moving boundaries, using as an example a flexible rod sliding in an ideal frictionless sleeve in the field of gravity. Special attention is paid to the configurational force acting on the rod at the sleeve opening and thus determining the rod’s dynamics. The non-material kinematic description used in simulations is based on the re-parametrization
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Two Nitsche-based mixed finite element discretizations for the seepage problem in Richards’ equation Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-10 Federico Gatti, Andrea Bressan, Alessio Fumagalli, Domenico Gallipoli, Leonardo Maria Lalicata, Simone Pittaluga, Lorenzo Tamellini
This paper proposes two algorithms to impose seepage boundary conditions in the context of Richards’ equation for groundwater flows in unsaturated media. Seepage conditions are non-linear boundary conditions, that can be formulated as a set of unilateral constraints on both the pressure head and the water flux at the ground surface, together with a complementarity condition: these conditions in practice
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Mixed displacement–pressure formulations and suitable finite elements for multimaterial problems with compressible and incompressible models Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-10 Chennakesava Kadapa
Multimaterial problems in linear and nonlinear elasticity are some of the least explored using mixed finite element formulations with higher-order elements. The fundamental issue in adapting the mixed displacement–pressure formulations with linear and higher-order continuous elements for the pressure field is their inability to capture pressure and stress jumps across material interfaces. In this paper
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Enhancing topology optimization with colored body-fitted mesh using adaptive filter, dual re-meshing strategy, and OOP programming paradigm Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-10 Zicheng Zhuang, Tong Liu, Wei Tong, Fengming Xu, Yiwei Weng
This study introduces a novel topology optimization approach by employing power law-based material interpolation and adaptive filtering in the framework of the unstructured grids. As an extension of the established Solid Isotropic Material with Penalization (SIMP) method that utilizes the fixed structured mesh, the proposed Colored Body-Fitted Optimization (CBFO) method adopts the body-fitted grids
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Discrepancy-informed quadrature strategy for the nonlocal macro-meso-scale consistent damage model Comput. Methods Appl. Mech. Eng. (IF 6.9) Pub Date : 2024-09-10 Weifan Lv, Guangda Lu, Xiaozhou Xia, Xin Gu, Qing Zhang
The nonlocal macro-meso damage (NMMD) model has shown promising results in simulating the fracture process of materials. However, due to the inherent limitations of the nonlocal methods, its stability depends on whether the number of elements/nodes within the nonlocal region is sufficient. This paper proposes a discrepancy-informed quadrature strategy for NMMD to address its inherent limitations. Concretely
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A phase field framework for corrosion fatigue of carbon steel Int. J. Fatigue (IF 5.7) Pub Date : 2024-09-10 Yuan-Zuo Wang, Jing-Zhou Zhang, Lu Yang, Xiu-Li Du
Corrosion fatigue damage occurs when metallic materials are subjected to cyclic loading in a corrosive medium. In this study, a phase field framework is proposed to predict the corrosion fatigue of carbon steels. The coupling effect of fatigue and corrosion is explicitly implemented in the proposed phase field framework by coupling the displacement field, electrochemical field and phase field. A degradation