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Phase-field modeling of anisotropic brittle fracture in rock-like materials and polycrystalline materials Comput. Struct. (IF 4.7) Pub Date : 2024-03-01 Nhon Nguyen-Thanh, Hung Nguyen-Xuan, Weidong Li
In this work, we propose a novel higher-order nonlocal operator method (NOM) based anisotropic phase-field approach to brittle fractures in rock-like materials and polycrystalline materials. The integral forms of the nonlocal phase-field and its corresponding mechanical model are obtained through the application of a variational principle. The implementation of the higher-order NOM is straightforward
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Investigation of mode-II delamination fracture energy with a discontinuous computational homogenization model Comput. Struct. (IF 4.7) Pub Date : 2024-03-01 Lu Ke, Frans van der Meer
Numerical methods for delamination analysis, such as the cohesive zone method, require fracture energy as an essential input. Existing formulations rely on a phenomenological relationship that links fracture energy to the mode of fracture based on linear elastic fracture mechanics (LEFM). However, doubts exist about the applicability of LEFM. It has been demonstrated that the phenomenological relationships
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Stability of the Bathe implicit time integration methods in the presence of physical damping Comput. Struct. (IF 4.7) Pub Date : 2024-02-29 Chanju Lee, Klaus-Jürgen Bathe, Gunwoo Noh
Following the introduction of the standard Bathe implicit time integration scheme, there have been many research efforts in the development of time integration methods employing multi-step composite strategies. However, the stability analysis of these methods has been primarily conducted in the absence of physical damping, under the assumption that physical damping would render the analysis results
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Rotated Thrust Network Analysis (rTNA) for stability assessment of vaulted structures subjected to horizontal loading Comput. Struct. (IF 4.7) Pub Date : 2024-02-28 Seungil Lee, Terry Bennett, Scott T. Smith
Thrust network analyses are commonly used in the stability analysis of three-dimensional masonry structures. Stability under gravity loading is ensured if a permissible thrust network can exist within the geometry of a structure. The maximum and minimum thrust networks are typically found using linear optimisation of the thrust network coordinates along the axis aligned with the gravity loading. When
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Scalable BIM based open workflow for structural analysis of masonry building aggregates Comput. Struct. (IF 4.7) Pub Date : 2024-02-27 Maria Laura Leonardi, José Granja, Daniel V. Oliveira, Miguel Azenha
Masonry building aggregates are complex historical structures comprising interconnected buildings. The safety of each building depends not only on its structural integrity but also on the interactions with neighbouring structures and their collective performance. The structural assessment of such complex constructions can benefit from BIM methodology. The latter eases modelling complicated solid geometries
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An integrated-hull design assisted by artificial intelligence-aided design method Comput. Struct. (IF 4.7) Pub Date : 2024-02-27 Yu Ao, Huilin Duan, Shaofan Li
To mitigate the high cost of integrated ship design, in this paper, we propose an innovative integrated hull design methodology utilizing artificial intelligence-aided design technology. The AIAD methodology leverages a deep neural network model constructed from multiple fidelities datasets to curtail the exponential growth in data requirements resulting from the proliferation of design variables caused
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bROM: An extension of beam theory through model order reduction Comput. Struct. (IF 4.7) Pub Date : 2024-02-27 R. Rubio, A. Ferrer, J.A. Hernández, X. Martínez
Beam analysis played a crucial role in the design of structures throughout modern history. Classical beam theories rely on analytical derivations under certain a priori kinematic assumptions (and are accurate with low computational cost), but they are not amenable to, for example, orthotropic materials and arbitrary cross sections. On the other hand, full 3D linear elasticity theory solved via the
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Modal decomposition of multi-degree-of-freedom structure with non-proportionally distributed rate-independent linear damping Comput. Struct. (IF 4.7) Pub Date : 2024-02-26 Wei Liu, Kohju Ikago, Jiang Liu
Rate-independent linear damping benefits low-frequency structures by mitigating excessive displacement without increasing the floor acceleration response under severe ground motions. The advantage of rate-independent linear damping in controlling low-frequency structures is attributed to its constant loss stiffness, which ensures high damping in low-frequency components while maintaining low high-frequency
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Three-dimensional broadband simulation of near-fault seismic ground motion considering complete source-path-site effect: Modeled by fast multipole indirect boundary element method Comput. Struct. (IF 4.7) Pub Date : 2024-02-26 Zhongxian Liu, Zhenen Huang, Weiguo He, Haitao Yu, Lei Huang
Efficient and accurate numerical methods are essential for analyzing seismic wave propagation and amplification in near-fault complex sites. Understanding the complete process of ground motion simulation, including fault rupture, path propagation, and near-surface complex site response, is crucial for studying earthquake damage mechanisms, seismic zoning, and designing large-scale engineering structures
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Construction of ellipsoid convex model of bounded uncertainties with outlier detection for application in non-probabilistic topology optimization Comput. Struct. (IF 4.7) Pub Date : 2024-02-22 Song Bai, Daming Li, Zhan Kang
The ellipsoid convex model can be suitably used for structural analysis and design optimization under uncertain-but-bounded parameters and loads. Such a model can be constructed using measured samples of the uncertainties. However, the presence of outliers is often unavoidable due to system fluctuations in the measurements. Thus, it is necessary to detect any outliers among the samples before constructing
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An improved response function method for stochastic meshless analysis of structures with lognormally varying input stochastic fields Comput. Struct. (IF 4.7) Pub Date : 2024-02-22 M. Aswathy, C.O. Arun
In this paper, a stochastic meshless method which can take care of random fields with lognormal distribution characteristics is developed. The method devised incorporates random fields associated with both material properties and external forces. This method is a modification of the improved response function method originally developed for normal random fields. In this method, the random displacement
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Optimization of under-deck cable-stayed concrete bridges Comput. Struct. (IF 4.7) Pub Date : 2024-02-22 Alberto M.B. Martins, Luís M.C. Simões, João H.J.O. Negrão
An optimization-based approach is proposed to assist in the design of under-deck cable-stayed concrete bridges. This strategy combines a convex optimization algorithm with a multi-start procedure to obtain local optimum solutions and the best of which is selected as the optimum design. The finite element method is used for the three-dimensional analysis considering dead load and road traffic live load
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A novel strategy for generating mesoscale asphalt concrete model with controllable aggregate morphology and packing structure Comput. Struct. (IF 4.7) Pub Date : 2024-02-22 Zhifei Tan, Fu-qiang Guo, Zhen Leng, Zhen-jun Yang, Peng Cao
Establishing a mesoscale model of asphalt concrete is significantly challenging due to its inherent heterogeneity and high proportion of aggregates. Initially, a novel approach for systematically quantifying aggregate morphology by integrating both form scaling and spherical harmonic (SH) modeling is formulated. The proposed method excels in decomposing aggregate morphology at diverse length scales
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An optimum triangular plate element based on DSPM with incomplete quadratic functions and an assumed orthogonality condition Comput. Struct. (IF 4.7) Pub Date : 2024-02-20 Andi Makarim Katili, Kai-Uwe Bletzinger, Irwan Katili
This paper focuses on the formulation and evaluation of a triangular bending plate element, taking into account the shear effect, with 3 DOFs at each corner node. The new element, called DSPM3, is developed from T3γ element by increasing the linear (lower order) rotation function β and β with incomplete quadratic functions (higher-order). An assumed orthogonality condition between lower and higher
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Explicit dynamics with the method of finite spheres using a modified direct inverse mass matrix Comput. Struct. (IF 4.7) Pub Date : 2024-02-14 Hyun-Young Nam, Minchul Yu, Gunwoo Noh
This work aims to enable explicit dynamics in the method of finite spheres (MFS). We propose a method to apply a direct inverse mass matrix with the modified local mass matrix for explicit dynamics in the MFS. We show that the performance of the proposed method depends on the proper selection of the modification parameters and set of enriched functions; hence, solution accuracy can be improved by choosing
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Methodology for the assessment of the risk of failure of metastatic vertebrae through ROM-based patient-specific simulations Comput. Struct. (IF 4.7) Pub Date : 2024-02-14 Xavier Garcia-Andrés, Enrique Nadal, Estanislao Arana, Blai Gandía-Vañó, Juan José Ródenas
The structural performance of a vertebra can be significantly undermined if it develops a tumour, that could even lead to the vertebra's structural collapse. In cancers with a high prevalence of spinal metastasis, like prostate and breast cancer, this supposes an additional problem to account for on top of the regular treatment. In this work, we propose a patient-specific methodology capable of immediately
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Model updating of dynamic systems with strong nonlinearities using multivalued global correlation analysis Comput. Struct. (IF 4.7) Pub Date : 2024-02-14 Tianxu Zhu, Xinsheng Zhang, Chaoping Zang, M.I. Friswell
Model updating using multivalued Frequency Response Curves (FRCs) is an important approach to construct a strongly nonlinear model. Residues between the predicted and measured FRCs are usually computed for updating, while the updating precision may be impacted by the measurement noise at local DOFs. In this paper, based on multivalued Global Shape Curve Criterion (GSCC) and Global Amplitude Curve Criterion
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An adaptive parallel arc-length method Comput. Struct. (IF 4.7) Pub Date : 2024-02-10 H.M. Verhelst, J.H. Den Besten, M. Möller
Parallel computing is omnipresent in today's scientific computer landscape, starting at multicore processors in desktop computers up to massively parallel clusters. While domain decomposition methods have a long tradition in computational mechanics to decompose spatial problems into multiple subproblems that can be solved in parallel, advancing solution schemes for dynamics or quasi-statics are inherently
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Improved quadrilateral scaled boundary spectral shell elements Comput. Struct. (IF 4.7) Pub Date : 2024-02-10 Jianghuai Li
Quadrilateral scaled boundary spectral (QSBS) shell elements are a new class of shell finite elements that require only the shell midsurface to be discretized, contain no rotational degree of freedom and adopt the full three-dimensional constitutive law. In this paper, improved QSBS shell elements are developed. The quadratic Lagrange interpolation with three arbitrarily selected sampling points is
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Physics-aware multifidelity Bayesian optimization: A generalized formulation Comput. Struct. (IF 4.7) Pub Date : 2024-02-07 Francesco Di Fiore, Laura Mainini
The adoption of high-fidelity models for many-query optimization problems is majorly limited by the significant computational cost required for their evaluation at every query. Multifidelity Bayesian methods (MFBO) allow to include costly high-fidelity responses for a sub-selection of queries only, and use fast lower-fidelity models to accelerate the optimization process. State-of-the-art methods rely
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Computational simulation and acoustic analysis of two-dimensional nano-waveguides considering second strain gradient effects Comput. Struct. (IF 4.7) Pub Date : 2024-02-07 Bo Yang, Michele Bacciocchi, Nicholas Fantuzzi, Raimondo Luciano, Francesco Fabbrocino
Exploring the wave propagation in nano-waveguides enables the development of on-chip nano-resonators, leading innovative capabilities that enhance acoustics and micro-mechanics. This paper conducts a numerical investigation into the dynamic properties of periodic nano-waveguides. The Second Strain Gradient (SSG) elasticity, which captures the size effects, is used in the determination of the constitutive
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Enhanced damage detection for noisy input signals using improved reptile search algorithm and data analytics techniques Comput. Struct. (IF 4.7) Pub Date : 2024-02-06 Sahar Hassani, Ulrike Dackermann, Mohsen Mousavi, Jianchun Li
The sensitivity of structural health monitoring systems to environmental and operational conditions poses a significant challenge due to their inherent susceptibility to outliers. This paper proposes an effective model-updating-based optimization algorithm that can alleviate the impact of outliers associated with field and operational fluctuations. The proposed method addresses the influence of uncertainties
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Shape function-based multi-objective optimizations of seismic design of buildings with elastoplastic and self-centering components Comput. Struct. (IF 4.7) Pub Date : 2024-02-06 Zhichao Lin, Longhe Xu, Xingsi Xie
Although the current seismic design of buildings ensures collapse resistance, repairs after disasters are time-consuming and costly. High performance structures and reliable design methods that consider repairability are required for resilient communities. This paper proposes a shape function-based framework and adopts a flexural-shear multi-degree-of-freedom model for seismic design optimization.
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Uncertainty in calibration of hypoplastic model for clay attributed to limited number of laboratory tests Comput. Struct. (IF 4.7) Pub Date : 2024-02-02 Tomáš Janda, Veronika Pavelcová, Alena Zemanová, Michal Šejnoha
The paper quantifies the uncertainty of material parameters of the hypoplastic model for clay resulting from the experimenter's choice about what laboratory data are utilised in the calibration process. The results of several 1D compression tests and undrained triaxial shear tests performed on twenty different fine-grained soils are considered in various combinations to yield a scattered set of material
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Efficient approximate and exact reanalysis methods for 0–1 topology modification Comput. Struct. (IF 4.7) Pub Date : 2024-01-26 Xinyu Xie, Wenjie Zuo, Tuo Song, Guikai Guo
This paper presents efficient approximate and exact reanalysis methods for 0–1 topology modifications. Traditional relaxation algorithms for 0–1 topology optimization fail to perform reanalysis as the element density changes from 0 to 1. To address this issue, we propose two reanalysis methods: the approximate approach (Kirsch method) and the exact approach (Sherman-Morrison-Woodbury method) based
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Topology optimization of truss structures under failure probability using the Bernstein approximation Comput. Struct. (IF 4.7) Pub Date : 2024-01-26 Alfredo Canelas, Miguel Carrasco, Julio López
A novel topology optimization approach for the robust design of structures is presented. The method considers both deterministic and random loadings, and minimizes the compliance subject to a constraint on the volume, as well as a constraint on the failure probability. Handling the failure probability is often challenging in numerical terms, potentially leading to an intractable model as the problem
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Impact loading of glued laminated timber beams without finger-joints Comput. Struct. (IF 4.7) Pub Date : 2024-01-22 Alex Sixie Cao, Magnus Houen, Andrea Frangi
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A computational homogenization for yield design of asymmetric microstructures using adaptive bES-FEM Comput. Struct. (IF 4.7) Pub Date : 2024-01-21 Phuc L.H. Ho, Changkye Lee, Canh V. Le, Phuong H. Nguyen, Jurng-Jae Yee
This study presents a robust numerical method for the computational homogenization analysis of microstructures at limit state. The periodic boundary conditions for asymmetric meshes are effectively handled using piecewise cubic Hermite interpolation. The accuracy of the numerical results is greatly enhanced through the utilization of the edge-based smoothed finite element method (ES-FEM) enriched with
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Linear composite curvature MITC3+ flat shell elements Comput. Struct. (IF 4.7) Pub Date : 2024-01-17 Son H. Nguyen
This paper introduces a novel linear composite curvature MITC3+ flat shell element, named κMITC3+, that combines the advantages of the MITC3+ theory for flexural (bending and shear) behavior and the Allman-like triangular element (which ensures a true rotation of drilling degrees of freedom and eliminates a spurious energy mode) for membrane behavior. To enhance the bending behavior of the MITC3+ approach
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Boundary constrained quadrilateral mesh generation based on domain decomposition and templates Comput. Struct. (IF 4.7) Pub Date : 2024-01-17 Xin Yang, J.L. Shan, Fei Yu, G.Z. Zhao, Z.Q. Guan
Compared to triangular or mixed meshes, pure quadrilateral meshes generally offer higher accuracy and computational efficiency in numerical simulations. Recently, the main obstacles in the generation of quadrilateral meshes have revolved around the identification of mesh singularities and the subsequent decomposition of the domain. In this study, a novel quadrilateral mesh generation method based on
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Hybrid data-driven and physics-based simulation technique for seismic analysis of steel structural systems Comput. Struct. (IF 4.7) Pub Date : 2024-01-17 Fardad Mokhtari, Ali Imanpour
This paper proposes 1) a new hybrid analysis technique by integrating a data-driven method with a physics-based technique to perform nonlinear analysis of steel structural systems under seismic loading, 2) two component-based data-driven models (PI-SINDy and DPI-SINDy) for predicting the nonlinear hysteretic response of steel seismic fuses with and without hysteretic degradation. The proposed hybrid
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High-order cell-centered finite volume method for solid dynamics on unstructured meshes Comput. Struct. (IF 4.7) Pub Date : 2024-01-18 Pablo Castrillo, Eugenio Schillaci, Joaquim Rigola
This paper introduces a high-order finite volume method for solving solid dynamics problems on three-dimensional unstructured meshes. The method is based on truncated Taylor series constructed about each control volume face using the least squares method, extending the classical finite volume method to arbitrary interpolation orders. As verification tests, a static analytical example for small deformations
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Trimming with polygonal scaled boundary isogeometric method Comput. Struct. (IF 4.7) Pub Date : 2024-01-18 Quansheng Zang, Chintan Jansari, Stéphane P.A. Bordas, Jun Liu
A novel approach of polygonal scaled boundary isogeometric analysis is proposed for 2D elasticity problems involving trimmed geometries. The method addresses the challenge of efficiently handling trimmed geometries directly within the analysis process. It employs the Newton-Raphson method to search for intersection points between the trimming curve and isoparametric curves of the NURBS surface. The
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Safety analysis of high-speed trains on bridges under earthquakes using a LSTM-RNN-based surrogate model Comput. Struct. (IF 4.7) Pub Date : 2024-01-18 Han Zhao, Biao Wei, Peng Zhang, Peidong Guo, Zhanjun Shao, Shipeng Xu, Lizhong Jiang, Huifang Hu, Yingying Zeng, Ping Xiang
In this paper, a novel method is proposed to predict the nonlinear seismic response of train-bridge coupled (TBC) systems by utilizing a long short-term memory (LSTM) recurrent neural network (RNN) based surrogate model. The surrogate model employed in this paper adopts a unidirectional multi-layer stacked LSTM architecture and implements sliding time windows for recursive calculation. The evaluation
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A time multiscale based data-driven approach in cyclic elasto-plasticity Comput. Struct. (IF 4.7) Pub Date : 2024-01-16 Sebastian Rodriguez, Angelo Pasquale, Khanh Nguyen, Amine Ammar, Francisco Chinesta
Within the framework of computational plasticity, recent advances show that the quasi-static response of an elasto-plastic structure under cyclic loadings may exhibit a time multiscale behavior. In particular, the system response can be computed in terms of time microscale and macroscale modes using a weakly intrusive multi-time Proper Generalized Decomposition (MT-PGD). In this work, such micro-macro
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Topology optimization of truss structures considering local buckling stability Comput. Struct. (IF 4.7) Pub Date : 2024-01-15 Fujiangshan He, Ruoqiang Feng, Qi Cai
This paper proposes the double-layer optimization algorithm to solve the truss topology problem with bar local buckling constraints. With this algorithm, the constraints on the local buckling are treated as linear functions of the optimized variables, which ensures efficient computation. In addition, two practical algorithms are proposed to solve the problems of the existence of transient hinges and
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Tunnel deformation prediction during construction: An explainable hybrid model considering temporal and static factors Comput. Struct. (IF 4.7) Pub Date : 2024-01-13 Zhonghao Li, Enlin Ma, Jinxing Lai, Xulin Su
This paper presents a novel hybrid model designed for predicting mountain tunnel deformation during construction, incorporating both temporal and static factors. Utilizing a boosting ensemble technique, the model effectively integrates a bidirectional Long Short-Term Memory (Bi-LSTM) network—acclaimed for its proficiency with time-series data—with the Light Gradient Boosting Machine (Light GBM) model—recognized
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An investigation into Markov chain Monte Carlo algorithms for Subset simulation: Emphasizing uncertainty analysis Comput. Struct. (IF 4.7) Pub Date : 2024-01-05 Zihan Liao, Weili Xia, Xiao He
Subset simulation (SuS) has emerged as a crucial method for estimating failure probability, striking an efficient balance between accuracy and computational cost. This paper introduces an uncertainty analysis method for the Markov chain Monte Carlo (MCMC) algorithm within the SuS framework by examining three key aspects: Effective Sample Size (ESS) ratio, intra-chain correlation, and inter-chain correlation
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Hybrid uncertainty propagation based on multi-fidelity surrogate model Comput. Struct. (IF 4.7) Pub Date : 2024-01-03 Jinxing Liu, Yan Shi, Chen Ding, Michael Beer
There always exist multiple uncertainties including random uncertainty, interval uncertainty, and fuzzy uncertainty in engineering structures. In the presence of hybrid uncertainties, the hybrid uncertainty propagation analysis can be a challenging problem, which suffers from the computational burden of double-loop procedure when numerical simulation techniques are employed. In this work, a novel method
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A C0 scalar field approach for describing sprain variables in finite element analysis of fracture Comput. Struct. (IF 4.7) Pub Date : 2023-12-28 Ioannis Koutromanos
A new approach is proposed to account for the impact of sprain variables for computational simulation of fracture in quasi-brittle materials. For an isotropic solid, these variables are equal to the Laplacians of the components of the displacement field, and they were introduced in a recent study by Zhang and Bazant to resolve spurious mesh effects for cases involving softening material response. This
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A novel multi-modal analytical method focusing on dynamic mechanism of bridge flutter Comput. Struct. (IF 4.7) Pub Date : 2023-12-25 Yan Zhang, Haili Liao, Bo Wu, Qiang Zhou
A novel three-dimensional (3D) multi-modal analytical method is proposed in the present study for investigating the dynamic mechanism of long-span bridge flutter. The multi-modal coupled flutter differential equations are derived in a practical manner utilizing the principle of virtual work in this method, and the explicit expressions of system damping and stiffness are established through the excitation-feedback
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The microlayer model: A novel analytical homogenisation scheme for materials with rigid particles and deformable matrix - applied to simulate concrete Comput. Struct. (IF 4.7) Pub Date : 2023-12-19 Jakob Platen, Johannes Storm, Sven Bosbach, Martin Claßen, Michael Kaliske
In the contribution at hand, a new material modelling approach is introduced. This formulation is based upon the Principle of Multiscale Virtual Power and consideration of micromechanically motivated assumptions. Consequently, the evolution of dissipative phenomena depends on the chosen microstructure. Therefore, a strong anisotropy, which is induced by damage, is represented even with isotropic material
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An improved integrated framework based nodal density variable and Voronoi polygon for FE-based topology optimization Comput. Struct. (IF 4.7) Pub Date : 2023-12-12 Shengyong Ding, Yaoying Huang, Xianze Cui, Yong Fan
In this paper, an improved integrated framework is developed to deal with the numerical instability problems in FE-based topology optimization design methods. The proposed method mainly consists of two coupled computational layers: the upper layer for material geometric description, and the lower layer for structural analysis and sensitivity calculation. In the upper layer, the design domain is discretized
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Dynamic optimization based on quantum computation-A comprehensive review Comput. Struct. (IF 4.7) Pub Date : 2023-12-12 Haijiang Kou, Yaowen Zhang, Heow Pueh Lee
Solving dynamic optimization problems (DOPs) induced by time-varying optimization objective functions and constraints is challenging. Quantum computation has received considerable attention to accelerate the solution of such optimization problems in recent years, and quantum optimization algorithms have been developed. Yet, there are no comprehensive review papers on quantum optimization algorithms
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An exact method for free vibration of beams and frameworks using frequency-dependent mass, elastic and geometric stiffness matrices Comput. Struct. (IF 4.7) Pub Date : 2023-12-09 J.R. Banerjee
The frequency-dependent mass, elastic and geometric stiffness matrices of an axially loaded Bernoulli-Euler beam are developed through rigorous application of symbolic computation. These three matrices are related to the corresponding dynamic stiffness matrix so that free vibration analysis of axially loaded beams and frameworks can be carried out in an exact manner by applying the Wittrick-Williams
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An improved dog-leg method for form-finding of tensegrity structures Comput. Struct. (IF 4.7) Pub Date : 2023-12-09 Yan Zhou, Yafeng Wang, Shu Li, Chao Yang, Yaozhi Luo
This paper presents a novel and highly efficient form-finding method for tensegrity structures. The method is based on converting the nonlinear equilibrium equations with the nodal coordinates vector as the variables into nonlinear least-squares problems. Subsequently, the Dog-Leg method is applied to solve these transformed problems. Furthermore, the Dog-Leg method is combined with the MBFGS (Modified
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Large-scale baseline model exploration from structural monitoring based on a novel information entropy-probability learning function Comput. Struct. (IF 4.7) Pub Date : 2023-12-07 Ye Yuan, Francis T.K. Au, Dong Yang, Jing Zhang
In this paper, an active learning framework for structural baseline model exploration is proposed based on the Kriging method. The framework is built to solve the problem that when the traditional Kriging approach needs to calibrate more structural parameters, the performance of Kriging predictors hinges very much upon the number of samples obtained from the finite element analysis. A novel information
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A conic programming approach to the wrinkling of pneumatic membranes using convex potentials Comput. Struct. (IF 4.7) Pub Date : 2023-12-08 Alexander Niewiarowski, Sigrid Adriaenssens, Ruy Marcelo Pauletti
This paper presents a novel conic programming approach for modeling the wrinkling of isotropic hyperelastic membranes subject to nonlinear loading and finite strains, employing convex potentials derived from tension field theory. The incompressible neo-Hookean strain energy is recast as a minimization problem over a set of cones, with a semidefinite constraint on the deformed surface metric. To address
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Dynamic response analysis for bridges subjected to moving vehicle loads by using the analytical dynamic stiffness method Comput. Struct. (IF 4.7) Pub Date : 2023-12-05 Xiang Liu, Shitan Tao, Xueyi Zhao, Xiao Liu, Zhaoming Lu, Feiyang Liu
This paper presents a highly efficient and accurate analytical method for the dynamic analysis of subjected to moving loads. Bridges with complex cross section and considering damping are modelled as plate built-up structures by the dynamic stiffness method with few degrees of freedom. Different moving loads with time-varying amplitudes travelling at different speeds can be modelled semi-analytically:
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Geometric deep learning for statics-aware grid shells Comput. Struct. (IF 4.7) Pub Date : 2023-12-01 Andrea Favilli, Francesco Laccone, Paolo Cignoni, Luigi Malomo, Daniela Giorgi
This paper introduces a novel method for shape optimization and form-finding of free-form, triangular grid shells, based on geometric deep learning. We define an architecture which consumes a 3D mesh representing the initial design of a free-form grid shell, and outputs vertex displacements to get an optimized grid shell that minimizes structural compliance, while preserving design intent. The main
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A novel surrogate-based crack identification method for cantilever beam based on the change of natural frequencies Comput. Struct. (IF 4.7) Pub Date : 2023-12-02 Long Zhang, Wenlin Liao, Juntao Fan
A novel crack identification method is presented in this paper for cantilever beam-type structures within the scope of vibration-based damage identification. Natural frequencies are more easily to be measured yet are weakly sensitive to damage in comparison to other dynamic parameters such as mode shape and damping ratio. Therefore, this paper develops a surrogate-based crack identification method
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On modeling the in vivo ventricular passive mechanical behavior from in vitro experimental properties in porcine hearts Comput. Struct. (IF 4.7) Pub Date : 2023-12-02 Nicolás Laita, Ricardo M. Rosales, Ming Wu, Piet Claus, Stefan Janssens, Miguel Ángel Martínez, Manuel Doblaré, Estefanía Peña
Myocardium passive mechanical response has been a major topic of study for decades due to its major impact on cardiac physiology. Here, we propose a novel modeling methodology that integrates both in vivo and in vitro data to estimate the tissue mechanical parameters for a particular orthotropic hyperelastic model as those proposed by Costa and by Holzapfel & Ogden, although it can be easily extended
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Directional maximum length scale control in density-based topology optimization Comput. Struct. (IF 4.7) Pub Date : 2023-11-28 Longlong Song, Tong Gao, Jie Wang, Weihong Zhang
In this paper, directional maximum length scale control for both the solid and void phases is proposed for density-based topology optimization with a lower computational cost. The method introduces porosity and material rate in the locally searched domain to achieve the length scale control for the solid and void phases, respectively. To enable directional length scale control, local rectangle and
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Hydromechanical tensile strength modelling at particle size level for non cohesive granular materials Comput. Struct. (IF 4.7) Pub Date : 2023-11-28 Hiram Arroyo, Eduardo Rojas, Jatziri Y. Moreno-Martínez, Otoniel Palacios, Arturo Galván
The aim of this paper is to propose a robust yet simple model to predict the variation of the tensile strength of granular materials with the degree of saturation. Because capillary phenomenon and air–water surface tension govern interparticle bonding in granular materials, they are explicitly taken into consideration. These vary with the degree of saturation as with all geotechnical structures that
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A novel algorithm to model concrete based on geometrical properties of aggregate and its application Comput. Struct. (IF 4.7) Pub Date : 2023-11-24 Pramod Kumar Gupta, Chandrabhan Singh
In this paper, a novel algorithm is developed to generate the geometrical model of coarse aggregate based on its physical properties. The size, elongation index, and flakiness index are considered while developing the algorithm. The developed geometrical model of aggregate is further used for generating the finite element (FE) meso-model of concrete. Three distinct phases are considered in the FE model
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Data-driven characterization of viscoelastic materials using time-harmonic hydroacoustic measurements Comput. Struct. (IF 4.7) Pub Date : 2023-11-22 Laura Río-Martín, A. Prieto
Any numerical procedure in mechanics requires choosing an appropriate model for the constitutive law of the material under consideration. The most common assumptions regarding linear wave propagation in a viscoelastic material are the standard linear solid model, (generalized) Maxwell, Kelvin-Voigt models or the most recent fractional derivative models. Usually, once the frequency-dependent constitutive
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Multi-objective structural optimization for the automatic member grouping of truss structures using evolutionary algorithms Comput. Struct. (IF 4.7) Pub Date : 2023-11-22 José Pedro G. Carvalho, Dênis E.C. Vargas, Breno P. Jacob, Beatriz S.L.P. Lima, Patrícia H. Hallak, Afonso C.C. Lemonge
This paper aims to formulate the multi-objective structural optimization problem to find the best member grouping of truss structures. The weight of the structure and the different number of discrete cross-sectional areas are the conflicting objective functions to be minimized simultaneously, generating a Pareto front presenting the non-dominated solutions. Sixteen multi-objective evolutionary algorithms
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Intelligent mesh generation for crack simulation using graph neural networks Comput. Struct. (IF 4.7) Pub Date : 2023-11-20 Xiao Wang, Qingrui Yue, Xiaogang Liu
Mesh generation for crack simulation is often the rate-limiting step because of the rapid variations in crack shape. The classical meshing paradigm, place-nodes-and-link, relies on predefined rules and fails to generalize various crack shapes. We proposed a graph neural networks-based method for recovering the missing connection information in the crack meshes. The constrained Delaunay triangulation