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A Comparison Between Weakly-Compressible Smoothed Particle Hydrodynamics (WCSPH) and Moving Particle Semi-Implicit (MPS) Methods for 3D Dam-Break Flows Int. J. Comput. Methods (IF 1.716) Pub Date : 2021-01-08 Rubens A. Amaro Junior; Liang-Yee Cheng; Sergei K. Buruchenko
Lagrangian particle-based methods have opened new perspectives for the investigation of complex problems with large free-surface deformation. Some well-known particle-based methods adopted to solve non-linear hydrodynamics problems are the smoothed parti- cle hydrodynamics (SPH) and the moving particle semi-implicit (MPS). Both methods model the continuum by a system of Lagrangian particles (points)
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Simulation and Optimization of Nonlinear Structures on Low Frequency Vibration and Noise of Lightweight Car Body Int. J. Comput. Methods (IF 1.716) Pub Date : 2021-01-08 X. P. Xie; T. Chai; Q. Sun
Accurate models, optimization methods and improvement measures are three key issues in the design and optimization of complex structures in the field of vibration and noise. Due to the increase of passenger vehicle structure complexity and lightweight demand, nonlinear materials and structures increase obviously in the whole system. Not only different structural adhesives are used to strong body structures
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Reliability-Based Robust Design Optimization in Consideration of Manufacturing Tolerance by Multi-Objective Evolutionary Optimization with Repair Algorithm Int. J. Comput. Methods (IF 1.716) Pub Date : 2021-01-08 Gang Li; Ye Liu; Gang Zhao; Yan Zeng
There are inherently various uncertainties in practical engineering, and reliability-based design optimization (RBDO) and robust design optimization (RDO) are two well-established methodologies when considering the uncertainties. Naturally, reliability-based robust design optimization (RBRDO) is a methodology developed recently by combining RBDO and RDO, in which the tolerances of random design variables
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Steady-State Responses of Functionally Graded Piezoelectric Structures by the Coupled Thermal-Electrical-Mechanical Inhomogeneous Cell-Based Smoothed Finite Element Method (CICS-FEM) Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-28 Han Chen; Liheng Wang; Dongqi Li; Liming Zhou; Peng Liu
To accurately simulate the steady-state responses of a functionally graded piezoelectric structure (FGPS) and cure the “overly-stiff” of finite element method (FEM), the coupled thermal-electrical-mechanical inhomogeneous cell-based smoothed finite element method (CICS-FEM) is proposed. The gradient smoothing technique is introduced into FEM and a “close-to-exact” stiffness is obtained. Based on the
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Regularization Strategies for Contiguous and Noncontiguous Damage Detection of Structures Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-28 Ziwei Luo; Ling Yu
Regularization strategies have attracted attention in the structural damage detection (SDD) field. However, there is lack of studies on regularization strategies for damage patterns in the existing methods. This paper proposes regularization strategies for contiguous and noncontiguous damages of structures and performs comparative studies. The objective functions are first defined to consider effects
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Multiobjective Optimization of Two-Dimensional Phononic Bandgap Materials and Structures Using Genetic Algorithms Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-28 Kepeng Qiu; Jianqiang Jin
In this paper, two-dimensional phononic bandgap materials are designed through multiobjective optimization using the genetic algorithm. Two cases are given. In Case I, 2D phononic crystals (PnCs) with maximum bandgap and minimum mass are optimized. The optimal results show that the third-order relative bandgaps become large, along with the increase in mass. In Case II, 2D local resonance phononic crystals
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Overlapping Multi-Domain Spectral Method for MHD Mixed Convection Slip Flow Over an Exponentially Decreasing Mainstream with Nonuniform Heat Source/Sink and Convective Boundary Conditions Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-28 Musawenkhosi P. Mkhatshwa; Sandile S. Motsa; Precious Sibanda
Overlapping multi-domain bivariate spectral quasilinearization method is applied on magnetohydrodynamic mixed convection slip flow over an exponentially decreasing mainstream with convective boundary conditions and nonuniform heat source/sink effects. The method is employed in solving the transformed flow equations. The convergence properties and accuracy of the method are determined. The method gives
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A Variant of Projection-Regularization Method for Ill-Posed Linear Operator Equations Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-28 Bechouat Tahar; Boussetila Nadjib; Rebbani Faouzia
In this paper, we report on a strategy for computing the numerical approximate solution for a class of ill-posed operator equations in Hilbert spaces: K:E→F,Kf=g. This approach is a combination of Tikhonov regularization method and the finite rank approximation of K∗K. Finally, numerical results are given to show the effectiveness of this method.
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One Identification Method of Distributed Dynamic Load Based on Modal Coordinate Transformation for Thin Plate Structure Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-28 Jinhui Jiang; Huangfei Kong; Hongji Yang; Jianding Chen
Load identification has long been a difficult issue for distributed load acting on structures. In this paper, the dynamic load identification technology based on the modal coordinate transformation theory is developed for dealing with identification problem of the two-dimensional thin plate structure. For the distributed dynamic load acting on a plate, we decompose it with the mode functions in the
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Characteristics of Earthquake Input Energy of a Subway Station Structure Based on Probability Density Evolution Method Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-19 Z. Q. Liu; Z. Y. Chen; H. Zhao
Understanding seismic energy input and dissipation mechanism is necessary for energy-based seismic design of complex underground structures. Due to the intrinsic uncertainty of ground motion, stochastic methods are usually needed. In this paper, we study the seismic energy input and dissipation mechanism in an underground structure using the probability density evolution method (PDEM). It is found
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Numerical Simulation of Viscous Flows Around a Surface Combatant Model at Different Drift Angles Using Overset Grids Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-19 Jianhua Wang; Zhenghao Liu; Decheng Wan
Viscous flows around ship hull is of great complexity, and when the ship is advancing with drift angles, the flow field can be more complicated. In this paper, the viscous flow field around an obliquely towed surface combatant DTMB 5512 is computed using the unsteady Reynolds-averaged Navier–Stokes (URANS) method. The numerical simulations are carried out by the in-house CFD solver naoe-FOAM-SJTU,
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Hydrodynamic Study and Performance Analysis of the OC4-DeepCWind Platform by CFD Method Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-19 Yang Huang; Yuan Zhuang; Decheng Wan
(1) The RAOs of OC4-DeepCWind platform motions are more sensitive to the low-frequency wave than the high-frequency wave. The nonlinear motion responses for platform heave and pitch motions are comparatively remarkable. (2) The pitch motion of OC4-DeepCWind platform is much more apparently influenced by the height of center of gravity (COG) than surge and heave motions. The lower COG height within
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An Improvement of Probabilistic Feasible Region Method for Reliablity-Based Design Optimization Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-19 Zihao Wu; Zhenzhong Chen; Ge Chen; Xiaoke Li; Xuehui Gan; Shenze Wang
The decoupled methods for reliability-based design optimization (RBDO) problems are efficient and accurate. Sequential optimization and reliability analysis (SORA) method and probabilistic feasible region (PFR) approach are typical decoupled methods. When there are multiple constraints in RBDO problem, PFR method improves the efficiency of solving this problem by establishing the PFR to reduce the
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Investigation on the Aerodynamic Efficiency of Braking Spoiler for High Speed Train Applications Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-19 M. Vikraman; J. Bruce Ralphin Rose; S. Ganesh Natarajan
The demand for high speed rail networks is rapidly increasing in developing countries like India. One of the major constraints in the design and implementation of high speed train is the braking efficiency with minimum friction losses. Recently, the aerodynamic braking concept has received good attention and it has been incorporated for high speed bullet trains as a testing phase. The braking performance
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Three-Dimensional Cartesian Grid Method for the Simulations of Flows with Shock Waves in the Domains with Varying Boundaries Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-17 V. V. Elesin; D. A. Sidorenko; P. S. Utkin
This paper is devoted to the development and quantitative evaluation of the properties of the numerical algorithm of the Cartesian grid method for three-dimensional (3D) simulation of shock-wave propagation in areas of varying shape. The detailed description of the algorithm is presented. The algorithm is relatively simple to implement and does not require solving the problem of determination of the
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Numerical Simulating Open-Channel Flows with Regular and Irregular Cross-Section Shapes Based on Finite Volume Godunov-Type Scheme Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-17 Xiaokang Xin; Fengpeng Bai; Kefeng Li
A numerical model based on the Saint-Venant equations (one-dimensional shallow water equations) is proposed to simulate shallow flows in an open channel with regular and irregular cross-section shapes. The Saint-Venant equations are solved by the finite-volume method based on Godunov-type framework with a modified Harten, Lax, and van Leer (HLL) approximate Riemann solver. Cross-sectional area is replaced
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An Optimized Explicit–Implicit Time-Marching Formulation for Dynamic Analysis Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-15 Delfim Soares Jr.; Matheus M. Rodrigues
In this paper, an optimized approach is proposed to enhance the performance of combined explicit–implicit time-domain analyses. In this context, an entirely automated explicit-implicit adaptive time-marching procedure is discussed as well as an optimization algorithm is introduced to compute the adopted time-step value of the analysis, so that the amount of explicit and implicit elements occurring
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Analysis of Cracked Body Strengthened by Adhesively Bonded Patches by BEM-FEM Coupling Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-14 Binh V. Pham; Thai Binh Nguyen; Jaroon Rungamornrat
This paper presents an efficient numerical technique capable of handling the stress analysis of three-dimensional cracked bodies strengthened by adhesively bonded patches. The proposed technique is implemented within the framework of the coupling of the weakly singular boundary integral equation method and the standard finite element procedure. The former is applied to efficiently treat the elastic
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A Novel Robust Remeshing Finite Element Technique for Fracture Propagation Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-14 L. D. C. Ramalho; J. Belinha; R. D. S. G. Campilho
In this work, a novel and robust remeshing algorithm for crack opening problems is proposed, combined with triangular plane stress finite elements. In the proposed algorithm, the crack tip efficiently propagates until a pre-established maximum crack length is achieved and the crack propagation direction is defined considering the maximum tangential stress criterion. The stress state at the crack tip
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An Efficient Contact Search Algorithm for Three-Dimensional Sphere Discontinuous Deformation Analysis Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-12-14 Ganghai Huang; Yuanzhen Xu; Xiaofeng Chen; Jianjun Ma; Shu Zhang
The efficiency of contact search is one of the key factors related to the computational efficiency of three-dimensional sphere discontinuous deformation analysis (3D SDDA). This paper proposes an efficient contact search algorithm, called box search algorithm (BSA), for 3D SDDA. The implementation steps and data structure for BSA are designed, with a case study being conducted to verify its efficiency
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Modified Hager–Zhang conjugate gradient methods via singular value analysis for solving monotone nonlinear equations with convex constraint Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-11-21 Jamilu Sabi’u; Abdullah Shah; Mohammed Yusuf Waziri; Kabiru Ahmed
Following a recent attempt by Waziri et al. [2019] to find an appropriate choice for the nonnegative parameter of the Hager–Zhang conjugate gradient method, we have proposed two adaptive options for the Hager–Zhang nonnegative parameter by analyzing the search direction matrix. We also used the proposed parameters with the projection technique to solve convex constraint monotone equations. Furthermore
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Moment-Based Hybrid Polynomial Chaos Method for Interval and Random Uncertain Analysis of Periodical Composite Structural-Acoustic System with Multi-Scale Parameters Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-11-17 Ning Chen; Jiaojiao Chen; Shengwen Yin
An interval and random moment-based arbitrary polynomial chaos method (IRMAPCM) is proposed in this paper for the analysis of periodical composite structural-acoustic systems with multi-scale uncertain-but-bounded parameters. In IRMAPCM, the response of structural-acoustic system is approximated as moment-based arbitrary polynomial chaos (maPC) expansion. IRMAPCM can construct the polynomial basis
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Generalized Fourier’s Law and Darcy–Forchheimer Forced/Mixed Convective Flow Towards a Riga Plate with Second-Order Velocity Slip: A Numerical Study Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-11-02 Yu-Ming Chu; M. Ijaz Khan; Sumaira Qayym; Seifedine Kadry; Waqar A. Khan
A numerical study is developed to examine the behavior of the forced/free convective flow towards a stretchable Riga plate with generalized Fourier’s law. The flow is saturated through Darcy–Forchheimer porous space and generated due to linear and second-order velocity slip phenomena. Here, the main consideration is given to the energy equation which is modeled in the presence of generalized Fourier’s
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Reflection of Longitudinal Wave in the Micropolar Elasticity with Voids Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-11-02 R. Lianngenga; J. Lalvohbika; Lalawmpuia Tochhawng; L. P. Lalduhawma; Denghmingliani Zadeng
By considering no more interaction between wryness tensor and change in voids volume fraction in the materials, the reflection problem of plane longitudinal waves at a free boundary of micropolar elastic materials with voids has been investigated. We have obtained the amplitude and energy ratios of reflected waves for the incident longitudinal wave by using appropriate boundary conditions. The effect
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Estimation of Thermal Contact Conductances on Irregular Interfaces Using the Generalized Integral Transform Technique and the Reciprocity Functional Method Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-11-02 Guilherme C. de Freitas; Marcelo J. Colaço
The reciprocity functional method, associated to the Classic Integral Transform Technique (CITT), has been successfully applied, obtaining analytical solutions for the inverse heat transfer problem that seeks to estimate the thermal contact conductance (TCC) distribution on the interface of a body composed of two materials. Yet, the theoretical development upon which this approach is based is not limited
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Robust Finite Difference Method for Singularly Perturbed Two-Parameter Parabolic Convection-Diffusion Problems Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-10-20 Tesfaye Aga Bullo; Gemechis File Duressa; Guy Aymard Degla
Robust finite difference method is introduced in order to solve singularly perturbed two parametric parabolic convection-diffusion problems. In order to discretize the solution domain, Micken’s type discretization on a uniform mesh is applied and then followed by the fitted operator approach. The convergence of the method is established and observed to be first-order convergent, but it is accelerated
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Localized Lagrange Multipliers Mixed (u,p) Formulation Applied in Wind Turbine Analysis Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-10-16 Onézimo Carlos Viana Cardoso; Francisco Ilson da Silva Junior
Fluid–structure analysis is frequently used to design offshore structures in a large range of engineering applications. In order to install wind turbines from the seashore, it is required that its towers must be attached at the sea floor or a system needs to be developed that allows the turbine to float. Therefore, the objective of this work is to develop a coupled structural finite element analysis
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Phase Field Modeling of Brittle Fracture Based on the Cell-Based Smooth FEM by Considering Spectral Decomposition Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-09-19 Fan Peng; Wei Huang; Y. E. Ma; Z. Q. Zhang; Yao Zhang
The spectral decomposition of the strain tensor is an essential technique to deal with the fracture problems via phase field method, and some incorrect results may be obtained without it. A novel phase field model for brittle fracture is developed based on cell-based smooth finite element (CS-FEM) and the spectral decomposition is taken into account. In order to describe the nonlinearity behaviors
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Heat Transfer in Periodically Laminated Structures – Third Type Boundary Conditions Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-09-09 Ewelina Pazera
This work is about a heat transfer phenomenon in relation to the periodically laminated composite. The specific type of thermal loading, analyzed in this paper, require formulation of Robin boundary conditions. To consider a layered structure of analyzed composite, the tolerance averaging technique is used. This method allows to take into account a thickness of the layers and obtain the equations with
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The Homogenized Transformation Method for the Calculation of Stress Intensity Factor in Cracked FGM Structure Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-09-09 Rong LI; Meng Yang; Bin Liang
A convenient calculation method is proposed for the stress intensity factor (SIF) in cracked functionally graded material (FGM) structures. In this method, the complex computational problem for SIFs in cracked FGM plate and cylinder can be simplified as the calculation problem of empirical formulas of SIFs in cracked homogenous plate and cylinder with same loading conditions and the calculation problem
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Bridge Damage Detection Using Quasi-Static Component of Moving Vehicle-Induced Dynamic Response Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-09-04 Zhiwei Chen; Yigui Zhou; Wen-Yu He; Mengqi Liu
The critical signal component extracted from the bridge response caused by a moving vehicle is normally used to construct damage index for damage detection. The dynamic response of bridges subjected to moving vehicle includes several components, among which the quasi-static component reflects the inherent characteristics of the bridge. In view of this, this paper presents a bridge damage detection
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Handling of Constraints in Efficient Global Optimization Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-09-04 Hu Wang; Wei Hu; Enying Li
Although the Efficient Global Optimization (EGO) algorithm has been widely used in multi-disciplinary optimization, it is still difficult to handle multiple constraint problems. In this study, to increase the accuracy of approximation, the Least Squares Support Vector Regression (LSSVR) is suggested to replace the kriging model for approximating both objective and constrained functions while the variances
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Tubenet: A Special Trumpetnet for Explicit Solutions to Inverse Problems Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-07-03 G. R. Liu; S. Y. Duan; Z. M. Zhang; X. Han
Different types of effective neural network structures have been developed, including the recurrent neural networks (RNNs), concurrent neural networks (CNNs), among others. The TrumpetNet was recently proposed by the leading author for creating two-way deepnets using physics-law-based models, such as finite element method (FEM) and smoothed FEM or S-FEM. The unique feature of the TrumpetNet is the
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Construction of a Preconditioner for General Elliptic Problems Using Riesz Map Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-30 Raghia El Hanine; Said Raghay; Hassane Sadok
The current work aspires to design and study the construction of an efficient preconditioner for linear symmetric systems in a Hilbert space setting. Compliantly to Josef Málek and Zdeněk Strakoš’s work [Preconditioning and the Conjugate Gradient Method in the Context of Solving, PDEs, Vol. 1 (SIAM, USA).], we shed new light on the dependence of algebraic preconditioners with the resolution steps of
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Numerical Study of Inverse Source Problem for Internal Degenerate Parabolic Equation Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-07-22 M. Alahyane; I. Boutaayamou; A. Chrifi; Y. Echarroudi; Y. Ouakrim
This paper is devoted to numerical analysis of an inverse source problem in a degenerate parabolic equation. The aims of this work are to show the well-posedness of the discrete inverse problem and its convergence to the continuous one. For this, we reformulate first the encountered inverse problem to a regularized optimal control one. Then, we approximate our optimal control problem by finite element
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Equal-Order Polygonal Analysis for Fluid Computation in Curved Domain Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-08-28 T. Vu-Huu; C. Le-Thanh; H. Nguyen-Xuan; M. Abdel Wahab
Our research introduces a novel advanced method for fluid computation in complicated domain. It makes use of an advanced polygonal finite element applying equal-order scheme; within each element. Both velocity and pressure fields are represented by a polygonal basis shape function system. This technique is based on a combination of the equal-order mixed scheme method, the polygon finite element method
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Estimation of Tumor Characteristics in a Skin Tissue by a Meshless Collocation Solver Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-08-11 Zhuo-Jia Fu; Wen-Hui Chu; Min Yang; Po-Wei Li; Chia-Ming Fan
This paper aims to noninvasively estimate the sizes and locations of tumors via the surface temperature in the skin tissue. The famous 2D Pennes bioheat transfer equation is used to describe the heat transfer behavior in the skin tissue, which is solved by the recently-developed meshless generalized finite difference method (GFDM) in the proposed solver. The hybrid optimization algorithm based on genetic
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Finite Element-Based Analysis of Bio-Heat Transfer in Human Skin Burns and Afterwards Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-08-11 Abul Mukid Md. Mukaddes; Ryuji Shioya; Masao Ogino; Dipon Roy; Rezwan Jaher
This research was conducted to develop the three-dimensional (3D) finite element model of human skin for bio-heat transfer analysis. The skin burn was analyzed using Penne’s bio-heat equation, which has been adopted in many commercial finite element software. Burn injuries mostly occur due to heat transfer from hot object, hot liquids, cooking flames, and sometimes due to exposure to chemicals, electricity
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Accuracy Verification of a 2D Adaptive Mesh Refinement Method Using Backward-Facing Step Flow of Low Reynolds Numbers Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-11 Zhenquan Li; Miao Li
Identifying centers of vortices of fluid flow accurately is one of the accuracy measures for computational methods. After verifying the accuracy of the 2D adaptive mesh refinement (AMR) method in the benchmarks of 2D lid-driven cavity flow, this paper shows the accuracy verification by the benchmarks of 2D backward-facing step flow. The AMR method refines a mesh using the numerical solution of the
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Approximate Solution of Homogeneous and Nonhomogeneous 5αth-Order Space-Time Fractional KdV Equations Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-30 Swapan Biswas; Uttam Ghosh
In this paper, the semi-inverse method is applied to derive the Lagrangian of the 5αth Korteweg de Vries equation (KdV). Then the time and space differential operators of the Lagrangian are replaced by corresponding fractional derivatives. The variation of the functional of this Lagrangian is devoted to lead the fractional Euler Lagrangian via Agrawal’s method, which gives the space-time fractional
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A Finite Pointset Method for Extended Fisher–Kolmogorov Equation Based on Mixed Formulation Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-26 L. Jones Tarcius Doss; N. Kousalya
In this paper, numerical solutions of the extended Fisher–Kolmogorov equation are obtained using finite pointset method. Finite pointset method is a meshless method which is a local iterative method based on the weighted least square approximation. By employing splitting technique, the extended Fisher–Kolmogorov equation is split into a two coupled system of differential equations by introducing an
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A Three-Dimensional Monotonicity-Preserving Modified Method of Characteristics on Unstructured Tetrahedral Meshes Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-26 Bassou Khouya; Mofdi El-Amrani; Mohammed Seaid
Slope limiters have been widely used to eliminate nonphysical oscillations near discontinuities generated by finite volume methods for hyperbolic systems of conservation laws. In this study, we investigate the performance of these limiters as applied to three-dimensional modified method of characteristics on unstructured tetrahedral meshes. The focus is on the construction of monotonicity-preserving
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Reduced-Order Modeling Based on Hybrid Snapshot Simulation Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-26 Feng Bai; Yi Wang
This paper presents a hybrid snapshot simulation methodology to accelerate the generation of high-quality data for proper orthogonal decomposition (POD) and reduced-order model (ROM) development. The entire span of the snapshot simulation is divided into multiple intervals, each simulated by either high-fidelity full-order model (FOM) or fast local ROM. The simulation then alternates between FOM and
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Improved Moving Least Square-Based Multiple Dimension Decomposition (MDD) Technique for Structural Reliability Analysis Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-25 Amit Kumar Rathi; Arunasis Chakraborty
This paper presents the state-of-the-art on different moving least square (MLS)-based dimension decomposition schemes for reliability analysis and demonstrates a modified version for high fidelity applications. The aim is to improve the performance of MLS-based dimension decomposition in terms of accuracy, number of function evaluations and computational time for large-dimensional problems. With this
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Dimension Reduction Method-Based RBDO for Dependent Interval Variables Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-20 Shibshankar Dey; Kais Zaman
Reliability-based design optimization (RBDO) under epistemic uncertainty (i.e., imprecise probabilistic information), especially in the presence of dependency of input variables, is a challenging problem. In this paper, we propose a dimension reduction-based RBDO framework considering dependent interval variables, which is pursued in a purely probabilistic manner. Most probable point (MPP) based dimension
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A Multiple Variational Iteration Method for Nonlinear Two-Point Boundary Value Problems with Nonlinear Conditions Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-16 Asghar Ghorbani; Abdul-Majid Wazwaz
A multiple variational iteration method (VIM) is proposed to effectively solve the second-order nonlinear two-point boundary value problems. For problems where convergence speed of the original VIM is slow or the original method is divergent, the multiple VIM method (MVIM) presented in this paper can readily improve the rate of convergence.
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A Non-Matching Nodes Interface Model with Radial Interpolation Function for Simulating 2D Soil–Structure Interface Behaviors Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-15 Jin Gong; Degao Zou; Xianjing Kong; Yongqian Qu; Yang Zhou
In this paper, the meshless method is extended to simulate the interaction between soil and structure through 2D finite element (FE) model. The background mesh line shared by each surface of interface is introduced for Gauss points’ generation and interpolation. Thus, instead of a series of interface elements, the whole soil–structure interface can be presented by an arbitrary number of nodes with
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A Neural Element Method Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-11 G. R. Liu
Methods of artificial neural networks (ANNs) have been applied to solve various science and engineering problems. TrumpetNets and TubeNets were recently proposed by the author for creating two-way deepnets using the standard finite element method (FEM) and smoothed FEM (S-FEM) as trainers. The significance of these specially configured ANNs is that the solutions to inverse problems have been, for the
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Distributed Load Identification for Uncertain Structure Based on LHS-GA and Improved L-Curve Method Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-06 Haitao Zhao; Xiaowang Li; Ji’an Chen
In order to identify the upper and lower bounds of distributed force exciting on an uncertain structure, a comprehensive approach combining genetic algorithm based on Latin hypercube sampling (LHS-GA) and improved L-curve method is built up in this paper. For uncertain parameter expressed by interval form, LHS-GA is presented to seeking the maximum and minimum amplitudes of distributed load in the
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A Radial Basis Function–Based Ghost Cell Method for Complex Rigid or Flexible Moving Boundary Flows Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-04 Jianjian Xin; Zhenlei Chen; Fan Shi; Fulong Shi; Qiu Jin
A radial basis function (RBF)-based ghost cell method is presented to simulate flows around a rigid or flexible moving hydrofoil on a Cartesian grid. A compactly supported radial basis function (CSRBF) is introduced to the ghost cell immersed boundary method to treat the complex flexible boundaries in the fluid. The results indicate that this RBF representation method can accurately track tempo-spatially
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Dual Extreme Learning Machines-Based Spatiotemporal Modeling for Nonlinear Distributed Thermal Processes Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-06-04 Xi Jin; Hai Dong Yang; Kang Kang Xu; Cheng Jiu Zhu
Many industrial thermal processes belong to distributed parameter systems (DPSs), which have two coupled nonlinear blocks. Dual least square support vector machines (LS-SVM) has been proposed to model such systems. However, due to the use of two LS-SVM, this method often leads to heavy computation and long learning time, which does not suit for online application. In this study, a dual extreme learning
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CAD Model Segmentation Via Deep Learning Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-05-28 Antoine Van Biesbroeck; Feifei Shang; David Bassir
Computer aided design (CAD) models are widely employed in the current computer aided engineering or finite element analysis (FEA) systems that necessitate an optimal meshing as a function of their geometry. To this effect, the sub-mapping method is advantageous, as it segments the CAD model into different sub-parts, with the aim mesh them independently. Many of the existing 3D shape segmentation methods
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Comparative Studies of Surrogate Models for Response Analysis of Mistuned Bladed Disks Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-05-28 Shiyuan Deng; Jianyao Yao; Linlin Wang; Jianqiang Xin; Ning Hu
The forced responses of bladed disks are highly sensitive to inevitable random mistuning. Considerable computational efforts are required for the sampling process to assess the statistical vibration properties of mistuned bladed disks. Therefore, efficient surrogate models are preferred to accelerate the process for probabilistic analysis. In this paper, four surrogate models are utilized to construct
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Legendre Collocation Method to Solve the Riccati Equations with Functional Arguments Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-05-21 Şuayip Yüzbaşı; Gamze Yıldırım
In this study, a method for numerically solving Riccatti type differential equations with functional arguments under the mixed condition is presented. For the method, Legendre polynomials, the solution forms and the required expressions are written in the matrix form and the collocation points are defined. Then, by using the obtained matrix relations and the collocation points, the Riccati problem
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Application of Adaptive Phase-Field Scaled Boundary Finite Element Method for Functionally Graded Materials Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-05-10 Aladurthi L. N. Pramod; Hirshikesh; Sundararajan Natarajan; Ean Tat Ooi
In this paper, an adaptive phase-field scaled boundary finite element method for fracture in functionally graded material (FGM) is presented. The model accounts for spatial variation in the material and fracture properties. The quadtree decomposition is adopted for refinement, and the refinement is based on an error indicator evaluated directly from the solutions of the scaled boundary finite element
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Predicting Stability of a Prototype Unbonded Fiber-Reinforced Elastomeric Isolator by Finite Element Analysis Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-04-27 Thuyet Van Ngo; Anjan Dutta; Sajal Kanti Deb
Unbonded fiber-reinforced elastomeric isolator (U-FREI) is an improved device for seismic mitigation of low-rise buildings. The horizontal force — displacement behavior of U-FREI is nonlinear due to rollover deformation and the horizontal stiffness is a function of both vertical load and horizontal displacement. In this paper, stability of a prototype U-FREI is studied based on the dynamic response
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Simulation of Fluid–Structure Interaction Problems with Thin Elastic Plate via the Coupling of Finite Element and Lattice Boltzmann Methods Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-03-31 Fei Jiang; Kangping Liao; Kazuki Matsumura; Junji Ohgi; Xian Chen
A numerical framework is proposed to couple the finite element (FE) and lattice Boltzmann methods (LBM) for simulating fluid–structure interaction (FSI) problems. The LBM is used as an efficient method for solving the weakly-compressible fluid flows. The corotational FE method for beam elements is used to solve the thin plate deformation. The two methods are coupled via a direct-forcing immersed boundary
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Calculation of the Braking Temperature on a Brake Disc of Light Passenger Aircraft Using FEM and Newcomb Models Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-03-18 Mohammed Djafri; Mostefa Bouchetara; Tawfiq Khatir; Samir Khatir; Magd Abdel Wahab
The friction of two bodies in relative motion is accompanied by several phenomena such as elevation of temperature. The aim of this work is to calculate the braking temperature of the brake disc of an aircraft during the landing phase, using a calculation code based on Finite Element Method (FEM) and the analytical method of Newcomb. This investigation uses two kinds of disc — full and real disc (original
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Seismic Reduction Effectiveness of Friction Pendulum Bearings in Underground Station Structures Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-03-18 Peng Jia; Zhiyi Chen
Setting friction pendulum bearings (FPB) at the top of central columns may be a good strategy to reduce the stations’ seismic responses. In this paper, the FPB is simulated in a detailed manner. The seismic reduction effectiveness of the FPB is studied with the three-dimensional dynamic time history analysis method. It is found that FPB can effectively reduce the maximum shearing force of the central
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Matched Interface and Boundary Method for Free Vibration Analysis of Irregular Membranes Int. J. Comput. Methods (IF 1.716) Pub Date : 2020-03-17 Zhiwei Song; Xiaoqiao He; Wei Li; De Xie
Matched interface and boundary (MIB) method is introduced for free vibration analysis of irregular membranes. Two distinct schemes-on-interface and off-interface schemes are used to deal with the topological relations between edges of irregular domains and the Cartesian mesh lines. Different geometric shapes such as triangle and quadrilateral are dealt with by using MIB procedures. A number of examples