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Designing piezoelectric stretcher through multiphysics topology for enhanced photodynamic therapy in cancer treatment Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-03-12 Musaddiq Al Ali, Masatoshi Shimoda
This study presents an advancement in Photodynamic Therapy (PDT) by introducing piezoelectric stretchers designed to enhance tissue surface characteristics. With a focus on mitigating the impact of irregular tissue surfaces on light distribution, we propose a structural topology optimization method to design a stretcher that utilizes the piezoelectric effect for precise tissue stretching. The aim is
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Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-03-01 Emad Golafshani, Nima Khodadadi, Tuan Ngo, Antonio Nanni, Ali Behnood
In the quest to reduce the environmental impact of the construction sector, the adoption of sustainable and eco-friendly materials is imperative. Geopolymer recycled aggregate concrete (GRAC) emerges as a promising solution by substituting supplementary cementitious materials, including fly ash and slag cement, for ordinary Portland cement and utilizing recycled aggregates from construction and demolition
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Method of exact solutions code verification of a superelastic constitutive model in a commercial finite element solver Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-28 Kenneth I. Aycock, Nuno Rebelo, Brent A. Craven
The superelastic constitutive model implemented in the commercial finite element code is verified using the method of exact solutions (MES). An analytical solution for uniaxial strain is first developed under monotonic loading. Numerical simulations are then performed, and simulation predictions are compared to the exact analytical solutions. Results reveal the superelasticity model agrees with the
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A local–global optimization approach for maximizing the multiphysics frequency response of laminated functionally graded CNTs reinforced magneto-electro-elastic plates Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-26 Duy-Khuong Ly, T. Nguyen-Thoi, Umut Topal, Chanachai Thongchom
Smart materials have garnered significant attention due to their distinct properties and potential applications in various engineering fields. In line with this, this study presents a local–global optimization approach aimed at maximizing the multiphysics frequency of laminated functionally graded carbon nanotube reinforced magneto-electro-elastic (FG-CNTMEE) plates. The laminated FG-CNTMEE plate is
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UMAT4COMSOL: An Abaqus user material (UMAT) subroutine wrapper for COMSOL Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-24 Sergio Lucarini, Emilio Martínez-Pañeda
We present a wrapper that allows Abaqus user material subroutines (s) to be used as an library in the software COMSOL Multiphysics. The wrapper, written in C language, transforms COMSOL’s external material subroutine inputs and outputs into Fortran-coded Abaqus inputs and outputs, by means of a consistent variable transformation. This significantly facilitates conducting coupled, multi-physics studies
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Computer vision-based quantification of updated stiffness for damaged RC columns after earthquake Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-20 Mohammadjavad Hamidia, Majid Sheikhi, Amir Hossein Asjodi, Kiarash M. Dolatshahi
Concrete surface cracks are one of the primary indicators of structural deterioration; thus, crack analysis is crucial to maintain the intact serviceability of the structural components. This research investigates the relation between earthquake-induced surface damages and stiffness degradation of RC columns. The research database comprises 422 images of 109 reinforced concrete columns tested under
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Advanced elasto-plastic topology optimization of steel beams under elevated temperatures Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-14 Muayad Habashneh, Raffaele Cucuzza, Marco Domaneschi, Majid Movahedi Rad
A topology optimization algorithm of steel beams under the influence of elevated temperature, considering the geometrically nonlinear analysis of imperfect structures, is proposed in this work. The proposed methodology is developed for addressing topology optimization problems in the presence of initial geometric imperfections and thermoelastic-plastic analysis by developing the bi-directional evolutionary
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A gradient-evolutionary coupled topology optimization for sheet reinforcement based on the mechanics of Voronoi pattern on dragonfly wings Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-09 Sen Lin, Nengzhuo Chou, Guangyao Li, Dingwen Bao, Yong Cai, Yi Min Xie, Guoping Wang
The intricate network of veins on dragonfly wings has captured the attention of many researchers due to its fascinating configuration and excellent mechanical properties. In this paper, based on the observation of the layout of the vein domains on the hind wing of dragonfly, the types of domains were characterized from the aspects of area and shape. The numerical analysis revealed that different shaped
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Topology optimization for stationary fluid–structure interaction problems with turbulent flow via sequential integer linear programming and smooth explicit boundaries Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-07 Lucas O. Siqueira, Rômulo L. Cortez, Raghavendra Sivapuram, Shahin Ranjbarzadeh, Rafael dos S. Gioria, Emílio C.N. Silva, Renato Picelli
Topology optimization methods face serious challenges when applied to structural design with fluid–structure interaction (FSI) loads, especially for high Reynolds fluid flow, i.e., considering turbulence. In this problem, the information at the fluid–structure interface is crucial for the modeling and convergence of the turbulent fluid flow analysis. This paper devises a new explicit boundary method
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Robust improvement of the finite-element-model updating of historical constructions via a new combinative computational algorithm Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-06 Javier Naranjo-Pérez, Rubén Rodríguez-Romero, Pablo Pachón, Víctor Compán, Andrés Sáez, Aleksandar Pavic, Javier Fernando Jiménez-Alonso
Finite-element-models are usually employed to simulate the behaviour of historical constructions. However, despite the high complexity of these numerical models, there are always discrepancies between the actual behaviour of the structure and the numerical predictions obtained. In order to improve their performance, an updating process can be implemented. According to this process, the value of the
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“Scaling-up” fire spread on wood cribs to predict a large-scale travelling fire test using CFD Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-02-02 Xu Dai, Naveed Alam, Chang Liu, Ali Nadjai, David Rush, Stephen Welch
Simulation-based approaches for characterising the fire behaviour of travelling fires in large compartments are a potentially valuable complement to experimental studies, providing useful insights on evolving boundary conditions for structural response. They admit the possibility of carrying out systematic parametric studies decoupled from experimental uncertainties, however, sufficiently general models
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Corrigendum to “A rapid method to predict biaxial fatigue life of automotive wheels using proper orthogonal decomposition and radial basis function algorithm” [Advances in Engineering Software, 186, December 2023, 103543] Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-23 Jintao Luo, Yingchun Shan, Xiandong Liu, Yue Zhang, Er Jiang, Decai Kong
Abstract not available
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Optimal topologies considering fatigue with reliability constraint Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-19 Piotr Tauzowski, Bartłomiej Błachowski, János Lógó
This paper addresses a challenging engineering problem that combines stress-limited topology optimization, reliability analysis, and plasticity-based low-cycle fatigue. Each of these issues represents a complex problem on its own, necessitating significant computational effort. In this study, we propose a novel approach that integrates safety assessment into the topology optimization process while
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Strength-based topology optimisation of anisotropic continua in a CAD-compatible framework Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-17 Marco Montemurro, Thibaut Roiné
In this paper, a new method to address strength-based topology optimisation (TO) problems is proposed. Specifically, failure criteria for anisotropic materials are integrated into a TO algorithm making use of Non-Uniform Rational Basis Spline (NURBS) hyper-surfaces to represent the pseudo-density field describing the topology of the continuum, thus providing solutions that can be easily exported to
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Stratified sample tiling Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-17 Jan Mašek, Miroslav Vořechovský
The paper introduces a practical method for the construction of large-scale point sets for analysis of computer models. The constructed experimental design is useful for (probabilistic) integration, construction of approximation or a screening. The essence of the presented approach is the stratification of the design domain into an orthogonal grid of substrata and a subsequent tiling with tiles of
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Topology optimization of Shell–Infill structures with enhanced edge-detection and coating thickness control Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-04 Jose A. Postigo, Alain Garaigordobil, Rubén Ansola, Javier Canales
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Design of the multiphase material structures with mass, stiffness, stress, and dynamic criteria via a modified ordered SIMP topology optimization Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-04 Minh-Ngoc Nguyen, Dongkyu Lee
This paper, a multi-material topology optimization method (MMTO) is presented for two-dimensional structures using modified ordered solid isotropic material with penalization (SIMP) under multiple constraints such as mass, stiffness, frequency, and stress. The element density is obtained by a density filtering and the Heaviside approximation, which are combined to avoid gray elements and numerical
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Stress-based continuous planar path planning for additive manufacturing Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-01 Wenpeng Xu, Hao Xu, Qiuge Li, Peng Zhang, Li Yang, Weiming Wang
This paper presents a novel continuous planar path planning algorithm based on principal stress orientation field to improve structural performance of the products fabricated with additive manufacturing. For a given 3D shape, it is first sliced into planar layers with specified layer thickness, which are discretized into grids for the optimization of tool-paths. Then, the principal stresses and the
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DNN surrogate model based cable force optimization for cantilever erection construction of large span arch bridge with concrete filled steel tube Adv. Eng. Softw. (IF 4.8) Pub Date : 2024-01-03 Xiaohang Zhou, Lu Cao, Weiwei Xie, Dayan Qin
Determining an ideal set of erection cable forces is crucial for concrete filled steel tube (CFST) arch bridges built using the cable-based cantilever erection method. As the span of these bridges increases, the intricacy and nonlinearity of their cable-based construction systems become more pronounced. For cable force optimization in such systems, the linear methods yield considerable inaccuracy,
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Improved stochastic subset optimization method for structural design optimization Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-12-12 Mohd Aman Khalid, Sahil Bansal
The Stochastic Subset Optimization (SSO) algorithm was proposed for optimal reliability problems that minimizes the probability of system failure over the admissible space for the design parameters. It is based on the simulation of samples of the design parameters from an auxiliary Probability Density Function (PDF) and exploiting the information contained in these samples to identify subregions for
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Prediction of residual stress distribution induced by ultrasonic nanocrystalline surface modification using machine learning Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-12-09 Chao Li, Auezhan Amanov, Yifei Li, Can Wang, Dagang Wang, Magd Abdel Wahab
Ultrasonic Nanocrystalline Surface Modification (UNSM) offers an efficient and cost-effective approach for enhancing material mechanical properties by inducing Severe Plastic Deformation (SPD). It leads to grain refinement and substantial residual stress generation beneath the workpiece surface. This study investigates the influence of key modification parameters, specifically static load, vibration
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Digital twin modeling method of the temperature field of thermo-compression bonding blade based on generative adversarial networks Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-12-06 Zuoen Deng, Haisong Huang, Jingwei Yang, Jiadui Chen, Xin Gao, Kai Yang
In this paper, a novel method of using deep learning to construct a digital twin of the thermos-compression bonding blade`s temperature field is presented. Usually, a heat transfer model based on numerical analysis can calculate the heat distribution in the welding process, but its complex modeling process and heavy computational effort are not appropriate for the deployment of the digital twin concept
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SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-12-07 Paul Saves, Rémi Lafage, Nathalie Bartoli, Youssef Diouane, Jasper Bussemaker, Thierry Lefebvre, John T. Hwang, Joseph Morlier, Joaquim R.R.A. Martins
The Surrogate Modeling Toolbox (SMT) is an open-source Python package that offers a collection of surrogate modeling methods, sampling techniques, and a set of sample problems. This paper presents SMT 2.0, a major new release of SMT that introduces significant upgrades and new features to the toolbox. This release adds the capability to handle mixed-variable surrogate models and hierarchical variables
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Multi-scale topology optimization of structures with multi-material microstructures using stiffness and mass design criteria Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-12-03 Fábio M. Conde, Pedro G. Coelho, José M. Guedes
Nowadays, there is a great interest on the part of the automotive and aerospace industry to design environmentally-friendly structures. To that purpose, stiffness-oriented designs are proposed here by extending previous work on multi-scale topology optimization to the multi-material setting reformulating the problem to include appropriately mass constraints and discussing different design domain parametrizations
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Topology optimization for energy absorption of quasi-brittle structures undergoing dynamic fractures Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-30 Yi Wu, Pengfei Li, Qiqi Li, Bo Liu
In this paper, we introduce a topology optimization approach aimed at improving the energy absorption of quasi-brittle structures under impact loading. Our method focuses on incorporating dynamic fracture behavior throughout the impact process to maximize the energy acting on the structure. To achieve this, we integrate a dynamic phase field method into density-based topology optimization, enabling
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Numerical development of a thermo-mechanical prediction model at high temperature: case of rubber concretes Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-14 Hamza Karim Serroukh, Mounir El Marzak, Mouhcine Benaicha, Wenlong Li, Jianguo Zhu, Adil Hafidi Alaoui, Yves Burtschell
The constitutive models have an important role in understanding the thermo-mechanical behavior of concrete and predicting its durability under fire loading. In this paper, the authors have developed a new constitutive temperature-dependent model for rubber concrete based on several models, such as European and American models, to predict the mechanical behavior of rubber concrete subjected to fire
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Modelling heat-mass transport for MHD Eyring-Powell hybrid nanofluid over an expanding surface laden by autocatalytic chemical reaction and nanoparticles diffusion Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-11 Sohail Rehman, , Sultan Alqahtani, Sultan Alshehery, Mohamed Boujelbene
Prior hybrid nanofluid research is restricted to single or two-phase models, which were dominated by homogeneous nanofluid models. These models adhere a serious flaw with the heat-mass transfer indices. To handle this problem, we develop an entirely novel hybrid nanofluid models based on the fundamental slip mechanisms of nanofluids induced by Brownian and thermophoretic diffusion as well as the chemical
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An adaptive B-spline representation of topology optimization design for Additive Manufacturing Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-06 Imran Khan, Baseer Ullah, , Zahur Ullah, Wajid Khan
Topology optimization is a renowned structural optimization approach used to compute the optimal topology for the enhancement of structural performance. It has been in common practice in different engineering fields such as automobile and aerospace. However, there still exist gaps between topology optimization and its engineering operations, which considerably impedes topology optimization’s applications
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Consistent C-bar radial-basis Galerkin method for finite strain analysis Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-03 P. Areias, M.C.P. Vila Pouca, M.P.L. Parente, R.M. Natal Jorge
For finite-strain problems of quasi-incompressible materials, with hyperelastic and hyperelasto-plastic behavior, we develop a mixed polynomial-enriched radial-basis function (RBF) interpolation. It is characterized by decoupling quadrature and polynomials for the deviatoric and volumetric terms of the right Cauchy–Green tensor. With an enriched interpolation, first and second derivatives of the deformation
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Performances analysis of parallel asynchronous and synchronous algorithms on cloud architecture for PDE Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-03 M.A. Rahhali, T. Garcia, P. Spiteri
In order to solve discretized stationary linear or non linear diffusion and convection–diffusion problems, the present paper deals with a comparison between the performances of parallel iterative synchronous or asynchronous algorithms implemented on a Cloud computing architecture with several sizes of the algebraic systems to be solved. The parallel algorithms are briefly and intuitively presented
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Robust topology optimization considering part distortion and process variability in additive manufacturing Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-11-04 Ludian Komini, Matthijs Langelaar, Benedikt Kriegesmann
This paper presents a method to consider uncertainties in the distortion prediction of additive manufacturing processes within robust topology optimization. The random variable of the stochastic additive manufacturing process is the inherent thermomechanical strain, typically determined by process characterization experiments. The value of the inherent strain per se encompasses uncertainty due to differences
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A black-box optimization strategy for customizable global elastic deformation behavior of unit cell-based tri-anti-chiral metamaterials Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-10-31 Andreas Thalhamer, Mathias Fleisch, Clara Schuecker, Peter Filipp Fuchs, Sandra Schlögl, Michael Berer
Metamaterials are a class of materials with a distinctive unit cell-based periodic architecture, often resulting in unique mechanical properties. The potential of metamaterials can be further improved by using gradients of unit cell parameters and thereby creating a specific distribution of material properties in a part. This design freedom comes with the challenge of finding new suitable design and
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Scatter search for capacitated minimum spanning tree Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-10-31 Cesar Rego, Frank Mathew
We develop a scatter search algorithm for the classical capacitated minimum spanning tree (CMST) problem. We address both the homogeneous and the more difficult heterogeneous variant of the problem. The CMST is central in a wide range of network design applications in industrial engineering, routing and logistics, and communication networks. Since the problem is NP-Complete, heuristic solution methods
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Implementation of the adaptive phase-field method with variable-node elements for cohesive fracture Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-10-28 Tiancheng Zhang, Tiantang Yu, Chen Xing, Tinh Quoc Bui
In this paper, an adaptive phase-field model based on variable-node elements and error-indicator is presented to predict cohesive fracture evolution. The phase-field cohesive-zone model is characterized by the parameterized energetic degradation and crack geometric functions. A staggered iteration scheme is used to solve the coupled non-linear system of displacement field and phase field. The adaptive
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Multi-material isogeometric topology optimization in multiple NURBS patches Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-10-04 Mian Zhou, Mi Xiao, Mingzhe Huang, Liang Gao
In design optimization of structures, design domains are often described by multiple non-uniform rational B-spline (NURBS) patches. To perform multi-material topological design in such design domains, an effective Nitsche-based multi-material isogeometric topology optimization (ITO) method is proposed in this paper. Specifically, the Nitsche's method is utilized to effectively couple the interfaces
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DFNMesh: Finite element meshing for discrete fracture matrix models Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-09-29 Pedro Lima, Nathan Shauer, José B. Villegas, Philippe R.B. Devloo
This paper presents a novel methodology for robust Finite Element (FE) mesh generation of Discrete Fracture Matrix (DFM) models. The method can handle the complete multi-dimensional domain from the tridimensional porous rock matrix, through fracture surfaces, down to open curves for fracture–fracture intersections. The accompanying open-source code is written in modern C++ with a JSON interface and
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Tailored Iterated Greedy metaheuristic for a scheduling problem in metal 3D printing Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-09-24 Kuo-Ching Ying, Pourya Pourhejazy, Ya-Hsuan Huang
This article contributes to the additive manufacturing-based production planning literature by developing a Mixed-Integer Linear Programming (MILP) formulation for the Identical Parallel 3D-Printing Machines Scheduling Problem considering batching, multiple build platforms of restricted sizes, and sequence-independent setup times. Besides, a customized metaheuristic, named the Tailored Iterated Greedy
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A rapid method to predict biaxial fatigue life of automotive wheels using proper orthogonal decomposition and radial basis function algorithm Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-09-20 Jintao Luo, Yingchun Shan, Xiandong Liu, Yue Zhang, Er Jiang, Decai Kong
This paper presents a rapid method for predicting the biaxial fatigue life of automotive wheels using a combination of proper orthogonal decomposition and radial basis function algorithm. Currently, numerical simulations of biaxial fatigue tests are being developed to evaluate wheel performance. However, these simulations are computationally expensive due to the need to simulate multiple discrete loading
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Prevention of enclosed voids in topology optimization using a cumulative sum flood fill algorithm Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-09-22 Joran van der Zwet, Arnoud Delissen, Matthijs Langelaar
Topology optimization has seen increased interest with the rise of additive manufacturing (AM) as a fabrication method, because of its ability to exploit the geometric complexity that AM offers. However, AM still imposes some geometric restrictions on the design, most notably on minimum feature size, overhang angles, and enclosed voids. Enclosed voids are problematic because for many AM methods it
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Links between material pair and energy absorbing capacity of lattice-cored sandwich: A comparison study Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-09-08 Liang Meng, Mingzhe Zhong, Dong Huo, Tong Gao, Jihong Zhu, Yuliang Hou, Weihong Zhang
Excellent energy-absorbing capacities have been a long-standing requirement for structures in the field of transportation and aerospace, and tension–torsion coupling (TTC) metamaterials have seen promising application opportunities since their emergence. In the current work, we carry out a systematic study on the metamaterial-cored sandwich under impact. Emphasis have been put on revealing the links
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Self-supporting parametric polyhedral structure for 3D printing Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-09-08 Yi Liu, Peng Zhang, Hang-Cheng Zhang, Weiming Wang, Tianqi Song, Xin Yan, Wei Zeng, Yi-Jun Yang
In this work, a novel method is proposed to design light-weight infill structure based on polyhedral cells for 3D printing, which satisfies the self-supporting, manufacturability and structural strength. To achieve self-supporting, specified filling rate and wall thickness, the parameters of the parametric polyhedral cell are determined by stress optimization. Especially, the number of cells, their
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Automatic calibration toolbox for SWMM5 Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-08-29 Anatoli Vassiljev, Kristjan Suits, Katrin Kaur, Nils Kändler, Murel Truu, Ivar Annus
The objective of this paper is to introduce an enhanced automatic calibration toolbox for the Storm Water Management Model (SWMM5), one of the most widely used softwares for simulating urban stormwater systems. Within the process of accurately modelling urban runoff and drainage, proper calibration is the most time-intensive sub-task. Thus, a toolbox is developed that eliminates the need to manually
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Mixed artificial intelligence models for compressive strength prediction and analysis of fly ash concrete Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-08-26 Wei Liang, Wei Yin, Yu Zhong, Qian Tao, Kunpeng Li, Zhanyuan Zhu, Zuyin Zou, Yusheng Zeng, Shucheng Yuan, Han Chen
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Mixed reality and the Internet of Things: Bridging the virtual with the real Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-08-11 Theofilos Papadopoulos, Konstantinos Evangelidis, Georgios Evangelidis, Theodore H. Kaskalis
As Mixed Reality applications penetrate people's daily activities, strong synergies with Geospatial technologies and the Internet of Things are revealed. The first is due to the significance of the spatial reference of all involved actors of a Mixed Reality environment: the end-user, the real and the virtual objects. The second is due to the ever-increasing participation of sensors controlling devices
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Acceleration-to-displacement conversion as a single time-domain convolution operation Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-08-02 Jale Tezcan, Claudia C. Marin-Artieda
In this paper, we derive a computationally simple and efficient formulation to convert an acceleration signal to a displacement signal. We show that a previously derived approach based on Least Square Support Vector Machine can be recast as a single time-domain convolution between the acceleration signal and a windowing function. An explicit equation is derived for the windowing function, which only
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Techniques to embed channels in finite element shallow water equation models Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-07-26 Shintaro Bunya, Richard A. Luettich, Brian O. Blanton
Two new and novel techniques to efficiently represent channels in large-scale finite element shallow water equation models are introduced. The first enables the discontinuous representation of bathymetric depth by allowing nodes along a discontinuity to have two land surface elevations, one representing the bottom of the discontinuity and the other the top of the discontinuity. Elemental integration
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A physics-informed neural network based simulation tool for reacting flow with multicomponent reactants Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-07-25 Zewei Sun, Honghan Du, Chunfu Miao, Qingzhi Hou
The reacting flow involves nonlinear partial differential equations which are mostly solved numerically for autocatalytic reaction between multi reactants. One-dimensional convection-diffusion-reaction equations are widely used for modeling reacting flows. This paper developed a method to solve the convection-diffusion-reaction equations using a neural network model, called the physics-informed neural
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Parametric nonlinear modelling of 3D masonry arch bridges Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-07-07 S. Grosman, L. Macorini, B.A. Izzuddin
Detailed modelling of masonry arch bridges and viaducts presents unique computational challenges. Not only do such structures exhibit complex nonlinear behaviour, but they are also difficult to describe within a consistent computational framework for high-fidelity simulations, due to the range of interactive components with varying geometric characteristics. This paper presents a novel parametric model
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Metamodel-assisted hybrid optimization strategy for model updating using vibration response data Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-07-05 Li YiFei, Cao MaoSen, Tran N. Hoa, S. Khatir, Hoang-Le Minh, Thanh SangTo, Thanh Cuong-Le, Magd Abdel Wahab
In this study, an effective and novel method, termed Metamodel Assisted Hybrid of Particle Swarm Optimization with Genetic Algorithm (MA-HPSOGA), is developed to identify unknown structural dynamic parameters. The method first constructs four popular metamodels to substitute the computationally expensive numerical analysis based on the Latin hypercube sampling method and probabilistic finite element
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Enhanced marine predator algorithm for global optimization and engineering design problems Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-06-28 Salih Berkan Aydemir
Marine predator algorithm adopts the policy of optimal encounter rate in biological interaction between predator and prey, inspired by the Lévy and Brownian motions commonly used in oceanic predators. However, the Marine predator algorithm faces problems of premature convergence, poor search capability, and stagnation in a local optimum. In order to tolerate these shortcomings, two different strategies
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Innovative composite machine learning approach for biodiesel production in public vehicles Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-06-20 Yun Yang, Lizhen Gao, Mohamed Abbas, Dalia H. Elkamchouchi, Tamim Alkhalifah, Fahad Alturise, Joffin Jose Ponnore
Predictive modeling is revolutionised by the use of artificial intelligence (AI) in this paper. AdaBoost regression, a potent algorithm for machine learning, is utilised. It excels at handling complex relationships between input and output variables and making accurate predictions. AdaBoost regression is preferred due to its reliability and ability to identify informative patterns. It achieves high
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Development of hybrid ANFIS-GAN-XGBOOST models for accurate prediction of material removal rates from PCB-polluted concrete surfaces using laser technology for sustainable energy generation Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-06-17 Mengyao Pang, Jialing Li, Haneen.M. Al_Tamimi, Dalia H. Elkamchouchi, Joffin Jose Ponnore, H. Elhosiny Ali
This study presents a hybrid machine learning approach for predicting material removal rates from polychlorinated biphenyl (PCB)-polluted concrete surfaces using laser technology. An adaptive neural fuzzy inference system (ANFIS) with XGBoost and generative adversarial networks (GANs) was employed as a hybrid model (ANFISGAN- XGBoost) to classify the numerous input variables for material removal rates
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Uplift resistance of caisson foundation in NGI-ADP soil using FEA and ANN Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-06-17 Van Qui Lai, Minh Nhat Tran, Jim Shiau, Suraparb Keawsawasvong, Ba Vinh Le, Trung Kien Nguyen, Duc Quy Le
The paper presents a novel solution for evaluating the uplift resistance of caisson foundations in anisotropic clay using displacement finite element analysis (FEA) and artificial neural network (ANN). The commercial FEA PLAXIS code is used to examine the uplift resistance of caisson foundations with a built-in anisotropic soil model developed by Norwegian Geotechnical Institute (NGI) based on the
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Speed estimation of a car at impact with a W-beam guardrail using numerical simulations and machine learning Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-06-14 Dawid Bruski, Lukasz Pachocki, Adam Sciegaj, Wojciech Witkowski
This paper aimed at developing a new method of estimating the impact speed of a passenger car at the moment of a crash into a W-beam road safety barrier. The determination of such a speed based on the accident outcomes is demanding, because often there is no access to full accident data. However, accurate determination of the impact speed is one of the key elements in the reconstruction of road accidents
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Acceleration of the space–time boundary element method using GPUs Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-06-12 Jakub Homola, Michal Merta, Jan Zapletal
Matrices arising from the space–time boundary element method for the heat equation are dense and are global in space and time. Thus, they require a large amount of memory which may pose a problem when accelerating the code using GPUs. In this paper, we present a method that overcomes this issue by assembling elements of system matrices only when needed during matrix–vector multiplication. Although
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Three-dimensional finite element simulations of fretting wear in steel wires used in coal mine hoisting system Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-06-08 Muhammad Imran, Dagang Wang, Magd Abdel Wahab
Fretting wear is a surface damage phenomenon that occurs at contacting surfaces due to the micro relative movements of contacting surfaces. It is not easy to consider the parametric study of this phenomenon by experimental methods. For example, it is not straightforward to measure the contact stresses and wear scars under different loading conditions during the experimental process. Furthermore, the
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Energy Efficient Data Migration Concerning Interoperability Using Optimized Deep Learning in Container-Based Heterogeneous Cloud Computing Adv. Eng. Softw. (IF 4.8) Pub Date : 2023-06-06 Tej.C. Hiremath, K.S. Rekha
Cloud computing generates a proper computing platform and facilitates optimizing with the utilization of infrastructure resources, increases flexibility, and decreases deployment time. Interoperability is one of the major challenges to be studied for ensuring seamless access and sharing of services and resources. Containers have developed into the most dependable and lightweight platform for virtualization