Engineering Computations
Issue(s) available: 288 – From Volume: 1 Issue: 1, to Volume: 42 Issue: 1
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International journal for computer-aided engineering and software![Cover of Engineering Computations](/insight/proxy/containerImg?link=/resource/publication/journal/3fd6b696867d70225deda7868308679b/urn:emeraldgroup.com:asset:id:binary:ec.cover.jpg)
Volume 42
- Issue 1 2025
Volume 41
Volume 40
Volume 39
Volume 38
Volume 37
Volume 36
Volume 35
Volume 34
Volume 33
Volume 32
Volume 31
Volume 30
Volume 29
Volume 28
Volume 27
Volume 26
- Issue 8 2009
- Issue 7 2009
- Issue 6 2009 Special issue on the discrete element method aspects of recent developments in computational mechanics of discontinua
- Issue 5 2009
- Issue 4 2009
- Issue 3 2009
- Issue 1/2 2009 Complex engineering structures under extreme conditions modelling, computations, identification and uncertainty
Volume 25
Volume 24
Volume 23
Volume 22
Volume 20
Volume 19
Volume 17
Volume 16
Volume 15
Volume 14
Volume 12
On the numerical treatments of classes of third-kind auto-convolution VIEs via moving least squares collocation scheme
Essaid Aourir, Hojatollah Laeli DastjerdiThis contribution investigates the numerical solution of Volterra integral equations with auto-convolution of the third kind (AVIE). The numerical method applied in this…
Fractional differential equations of Riemann–Liouville of variable order with anti-periodic boundary conditions
Bouazza Zoubida, Mohammed Said Souid, Hatira Günerhan, Hadi RezazadehThe purpose of this paper is to investigate the existence, uniqueness and stability of solutions to a class of Riemann–Liouville fractional differential equations with…
Data-driven identification method for bolt looseness of complicated tower structure
Yingbo Gao, Bo Yan, Hanxu Yang, Mao Deng, Zhongbin Lv, Bo Zhang, Guanghui LiuA transmission tower usually experiences bolt loosening under long-term alternating cyclic load, which may lead to collapse of the tower in extreme operating conditions. The paper…
Simulation of generalized saturated thermo-elastic media in axisymmetric cylindrical coordinate by cell-adaptive central high-resolution schemes with compression-adaptive UNO slope limiters
Hassan Yousefi, Iradj Mahmoudzadeh KaniThe purpose of this study is to (1) improve the spectral features of the second-order uniformly non-oscillatory (UNO) slope limiters, and (2) numerical simulation of the…
Algorithmic computation of the bishop frame of the rational Bezier curves with augmented reality applications
Hatice Kuşak SamancıBezier curves are widely used in computer-aided geometric design (CAGD) for modeling objects such as aircraft, cars and ships. Augmented reality applications are an important type…
A numerical solution method for the fractional moment problem within engineering
Yifan Wang, Ryuichi Tani, Kenetsu UchidaIn the field of engineering, the fractional moments of random variables play a crucial role and are widely utilized. They are applied in various areas such as structural…
Fishing cat optimizer: a novel metaheuristic technique
Xiaowei WangThe fishing cat's unique hunting strategies, including ambush, detection, diving and trapping, inspired the development of a novel metaheuristic optimization algorithm named the…
Optimizing TRMS stability: a multi-objective genetic algorithm approach to PID controller design
Barış Çelebi, Boğaç BilgiçThis paper aims to enhance the stability and control of twin rotor multi-input multi-output system (TRMS) helicopters by introducing a novel approach that utilizes a…
On the derivatives of rational Bézier curves
Mao ShiWe identify several theoretical shortcomings in the derivative formulas for rational Bézier curves and propose a new formula for the derivatives.
Reinforced concrete cantilever retaining wall design consisting of two stage stem using Rao1 algorithm
Zehra Ertosun Karabulut, Zafer Kurt, Elifnur Kalemci, Tayfun Dede, Sabriye Banu IkizlerThis study aims to optimize the design of reinforced concrete retaining walls to achieve the lowest possible cost while maintaining structural stability and compliance with…
A Monte Carlo algorithm for large-scale magnetic simulations
Grzegorz Ziółkowski, Artur Chrobak, Dariusz ChrobakThe paper refers to Monte Carlo (MC) magnetic simulations and finite element scaling rules, allowing the simulation of magnetic mesoscopic systems. The scaling rules consist of a…
Effects of geometrical and material properties on the buckling behavior of hybrid laminated composite plates using differential quadrature approach
Sinan MaraşThis study aims to investigate the effects of layering sequence, aspect ratios, fiber orientation angles, loading types and boundary conditions on the buckling behavior of…
Positioning accuracy improvement of a large parallel pose alignment mechanism based on comprehensive error analysis
Hongbin Li, Nina Sun, Zhihao WangThis study aims to improve the positioning accuracy of a large-scale parallel pose alignment mechanism by calibration and error compensation.
Analytical evaluation of nearly singular integrals in the heat conduction boundary integral equations with heat source
Tengyue Li, Changzheng Cheng, Feiyang Wang, Zongjun Hu, Jingchuan LiThere are domain integrals in the integral equations for analyzing the heat conduction with a heat source.
An explicit peridynamics model for hydraulic fracturing in porous media
Yanan Sun, Guoyin Zhang, Michael G. Edwards, Chenfeng LiThe purpose of this paper is to systematically investigate the hydraulic fracture branching phenomena in porous media under different loading conditions and the stepwise…
On the hidden layer-to-layer topology of the representations of reality realised within neural networks
Oliver Gafvert, Peter Grindrod, Heather A. Harrington, Catherine F. Higham, Desmond J. Higham, Ka Man YimConsider an information processing algorithm that is designed to process an input data object onto an output data object via a number of successive internal {\it layers} and…
Improved shear strength prediction model for SFRC beams without stirrups
Shoaib Ahmad, Liusheng HeThe application of steel fiber reinforced concrete (SFRC) beams is limited in practice, partially due to the lack of accurate shear strength prediction models. This study aims to…
Prediction of limit states occurrence probability in curved bridges based on artificial intelligence and statistical analysis
Komeyl Karimi-MoridaniIt evaluated the seismic vulnerability based on fewer factors by presenting the effectiveness of seismic and structural parameters. The proposed method first demonstrated the…
An investigation of machine learning strategies for electric motor anomaly detection using vibration and audio signals
Klaus Jürgen Folz, Herbert Martins GomesThe objective of this article is to evaluate and compare the performance of two machine learning (ML) algorithms, i.e. support vector machines (SVMs) and random forests (RFs)…
Stress distribution and shear lag effect of composite steel plate girder bridges based on spatial fine mesh elements
Pengzhen Lu, Yu Ding, Ying Wu, Changjun He, Liu Yang, Yang Li(1) The shear lag effect and its additional deflection contribution to composite beams based on spatial grid elements were presented. (2) A refined spatial grid element analysis…
Solution of fractional Sturm–Liouville problems by generalized polynomials
Shazia Sadiq, Mujeeb ur RehmanIn this article, we present the numerical solution of fractional Sturm-Liouville problems by using generalized shifted Chebyshev polynomials.
Modeling of partially oriented spring-exchange magnetic composites
Grzegorz Ziolkowski, Artur Chrobak, Dariusz ChrobakThe presentation refers to simulations of magnetization processes of the spring-exchange magnetic composites containing magnetically soft and ultra-high coercive phases. In…
Physics-informed and graph neural networks for enhanced inverse analysis
Daniele Di Lorenzo, Victor Champaney, Chady Ghnatios, Elias Cueto, Francisco ChinestaThis paper presents an original approach for learning models, partially known, of particular interest when performing source identification or structural health monitoring. The…
Dynamic spatial–temporal conflict quantification of construction machinery for pouring blocks in arch dams
Zhipeng Liang, Chunju Zhao, Huawei Zhou, Yihong Zhou, Quan Liu, Tao Fang, Fang WangThe spatial–temporal conflicts in the construction process of concrete arch dams are related to the construction quality and duration, especially for pouring blocks with a…
An automatic hybrid mesh generation method for combustion fluid dynamics simulations
Tiantian Liu, Juelin Leng, Kailong Xu, Quan Xu, Yang Yang, Peng ZhengAutomatic mesh generation is still a challenge problem for combustion fluid dynamics simulations because of the high-quality requirement and complexity of geometries. This paper…
Generation of adaptive refinement tetrahedral meshes over domains of multi-chamber partition
Haoyu Huang, Julin Shan, S.H. Lo, Fei Yu, Jie Cao, Jihai Chang, Z.Q. GuanIn this study, we propose a tetrahedral mesh generation and adaptive refinement method for multi-chamber, multi-facet, multiscale and surface-solid mesh coupling with extremely…
A neural network approach for unstructured mesh quality evaluation
Xinhai Chen, Zhichao Wang, Yang Liu, Yufei Pang, Bo Chen, Jianqiang Chen, Chunye Gong, Jie LiuThe quality of the unstructured mesh has a considerable impact on the stability and accuracy of aerodynamic simulation in computational fluid dynamics (CFD). Typically, engineers…
Dynamic characteristics of perforated plates with elastically restrained edges under impact loading
Chen Wang, Rongqiang LiuThe purpose of this paper is to develop an effective method for predicting the dynamic ultimate bearing capacity of porous plates, and to analyse the influence of various…
TwinLab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins
Maximilian Kannapinn, Michael Schäfer, Oliver WeegerSimulation-based digital twins represent an effort to provide high-accuracy real-time insights into operational physical processes. However, the computation time of many…
Neural networks for emergent behavior in biological microstructures
Manik Kumar, Joe Sgarrella, Christian PecoThis paper develops a neural network surrogate model based on a discrete lattice approach to investigate the influence of complex microstructures on the emergent behavior of…
The cell-centered positivity-preserving finite volume scheme for 3D convection–diffusion equation on distorted meshes
Gang PengThis paper aims to construct positivity-preserving finite volume schemes for the three-dimensional convection–diffusion equation that are applicable to arbitrary polyhedral grids.
Dislocation-based finite element method for homogenized limit domain characterization of structured metamaterials
Renato Zona, Luca Esposito, Simone Palladino, Vincenzo MinutoloHeterogeneous and micro-structured materials have been the object of multiscale and homogenization techniques aimed at recognizing the elastic properties of the equivalent…
A new optimal weapon target assignment method using an artificial fish swarm algorithm with survival evolution
Ningjun Xu, Miaomiao Sun, Zhangsong Shi, Jin ZhangFirepower conflicts usually decay the firepower plan's enforceability, thus incurring high survival risks. Previous studies have shown little attention to avoiding firepower…
Use of machine learning in determining the parameters of viscoplastic models
Jiří Halamka, Michal BartošákThe constitutive models determine the mechanical response to the defined loading based on model parameters. In this paper, the inverse problem is researched, i.e. the…
Optimizing high-temperature geothermal extraction through THM coupling: insights from SC-CO2 enhanced modeling
GuoLong ZhangThis study investigates the coupling effects between temperature, permeability and stress fields during the development of geothermal reservoirs, comparing the impacts of…
Automatic identification of macroscopic constitutive parameters for polycrystalline materials based on computational homogenisation
Guilherme Fonseca Gonçalves, Rui Pedro Cardoso Coelho, Igor André Rodrigues LopesThe purpose of this research is to establish a robust numerical framework for the calibration of macroscopic constitutive parameters, based on the analysis of polycrystalline RVEs…
A lightweight interactive approach for unstructured surface mesh generation
Yang Liu, Yuefan Hu, Dongxiang Xie, Yongjie Zhang, Jianqiang ChenThe paper aims to propose a generation approach for unstructured surface mesh to speed up mesh generation.
A mechanism-based elasto-viscoplastic constitutive model for the creep deformation of martensitic heat-resistant steels
Jundong Yin, Baoyin Zhu, Runhua Song, Chenfeng Li, Dongfeng LiA physically-based elasto-viscoplastic constitutive model is proposed to examine the size effects of the precipitate and blocks on the creep for martensitic heat-resistant steels…
A double-loop adaptive relevant vector machine combined with Harris Hawks optimization-based importance sampling
Xin Fan, Yongshou Liu, Zongyi Gu, Qin YaoEnsuring the safety of structures is important. However, when a structure possesses both an implicit performance function and an extremely small failure probability, traditional…
Multiaxial fatigue life prediction based on modular neural network pretrained with uniaxial fatigue data
Lei Gan, Anbin Wang, Zheng Zhong, Hao WuData-driven models are increasingly being used to predict the fatigue life of many engineering components exposed to multiaxial loading. However, owing to their high data…
Parallel and automatic mesh sizing field generation for complicated CAD models
Juelin Leng, Quan Xu, Tiantian Liu, Yang Yang, Peng ZhengThe purpose of this paper is to present an automatic approach for mesh sizing field generation of complicated computer-aided design (CAD) models.
ISSN:
0264-4401e-ISSN:
1758-7077ISSN-L:
0264-4401Online date, start – end:
1984Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Prof. Chenfeng Li