Article
Multidisciplinary Sciences
Olatunji A. Akinola, Absalom E. Ezugwu, Olaide N. Oyelade, Jeffrey O. Agushaka
Summary: In this paper, a new hybrid method called BDMSAO is proposed, which combines the binary variants of the dwarf mongoose optimization algorithm (BDMO) and simulated annealing (SA) algorithm to solve mechanical engineering design problems. The hybrid algorithm, by utilizing different algorithms for global and local search, improves the effectiveness of feature selection problems and outperforms other methods in the study.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Ting Wang, Peng Shao, Shanhui Liu, Guangquan Li, Fuhao Yang
Summary: This paper proposes a Multi-Mechanism Particle Swarm Optimization (HGSPSO) algorithm that optimizes the position update formula and dynamically updates inertia weights to accelerate convergence and help particles jump out of local extrema. Experimental results show that this algorithm outperforms five comparison algorithms in all evaluation metrics and assessment schemes.
Article
Mathematics
Shiyuan Yang, Hongtao Wang, Yihe Xu, Yongqiang Guo, Lidong Pan, Jiaming Zhang, Xinkai Guo, Debiao Meng, Jiapeng Wang
Summary: This paper presents a new framework for reliability-based design optimization (RBDO), which improves the efficiency of RBDO solutions by combining an improved particle swarm algorithm (PSO) with a decoupling strategy using a simulated annealing algorithm (SA). By quickly solving the Most Probable Point (MPP) and enhancing the global optimization capabilities, the accuracy of RBDO results is ensured.
Article
Construction & Building Technology
Jessica M. Bresolin, Zacarias M. C. Pravia, Moacir Kripka
Summary: This study proposes an optimization method for steel structures, which combines sizing optimization and sizing with shape optimization using the simulated annealing algorithm. The experimental results show that this method can significantly reduce the weight of the structure and improve the efficiency of the optimization solutions.
STEEL AND COMPOSITE STRUCTURES
(2022)
Article
Engineering, Civil
Yangming Zhou, Wenqiang Xu, Zhang-Hua Fu, MengChu Zhou
Summary: This paper proposes a Multi-neighborhood Simulated Annealing-based Iterated Local Search (MSAILS) method to solve the coloring traveling salesman problem (CTSP). Through three sequential search procedures, the method significantly outperforms existing algorithms on medium and large benchmark instances and is able to discover new upper bounds.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Hardware & Architecture
Ahmed A. Hafez, Almoataz Y. Abdelaziz, Mohamed A. Hendy, Alaa F. M. Ali
Summary: This paper proposes an algorithm to determine the optimal size of a Microgrid, considering the intermittent nature of renewable energy sources and enhancing power supply security and stability. Resizing batteries and utilizing virtual synchronous inertia improve power supply reliability, while providing primary frequency control during disturbances with batteries and diesel generators. Constraints are set to achieve higher levels of power supply security and frequency stability, with results validated against Simulated Annealing and Particle Swarm Optimization. Adopting primary frequency regulation of batteries slightly increases overall costs.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Article
Mechanics
Mohamed Sellami
Summary: In this paper, the step by step descent algorithm is extended to continuous optimization problems and applied to truss structure sizing. A multi-stage optimization algorithm is proposed to solve continuous problems, which divides the continuous areas of variables into finite points. The algorithm employs a heuristic approach to avoid local optima and achieves better results than other optimization algorithms.
Article
Energy & Fuels
Zhanping Wang, Juncang Tian, Kepeng Feng
Summary: Given the fast growth of economy in Ningxia, China, contradictions between the increase of water resources and the decrease of water supply become increasingly prominent. Therefore, utilizing limited water resources in a rational manner is critical. This study develops a multi-objective optimum allocation model based on the multi-objective programming theory to achieve sustainable use of regional water resources. The model, aimed at maximizing the comprehensive benefits of society, addresses the issue of particles being trapped into local minima by incorporating simulated annealing into the basic particle swarm optimization (PSO) algorithm. The results show that the model provides a scientific basis for water resource management in the city and the algorithm has practical significances. (C) 2022 The Author(s). Published by Elsevier Ltd.
Article
Materials Science, Multidisciplinary
Karl Fisher, Jenny Wang, Brian Tran
Summary: This article explores the use of resonant spectral ultrasound (RUS) to measure the elastic constants of an Octet Truss lattice and apply the results to continuum models representing the lattice regions in different structures. The study focuses on Ti5553 lattice structures fabricated using laser powder bed fusion (LBPF). RUS estimates of the elastic properties of the bulk material and the effective elastic properties of the lattice structure are incorporated into 3D finite element models, resulting in good agreement with experimentally measured eigen frequencies.
MATERIALS & DESIGN
(2023)
Article
Chemistry, Physical
Sida Zhou, Xinhua Liu, Yang Hua, Xinan Zhou, Shichun Yang
Summary: This article introduces a coupled hybrid adaptive particle swarm optimization-hybrid simulated annealing algorithm for precise parameter identification, which is validated on three different types of batteries and shows excellent consistency between simulation results and experimental data.
JOURNAL OF POWER SOURCES
(2021)
Article
Mechanics
Ricardo Fitas, Goncalo das Neves Carneiro, Carlos Conceicao Antonio
Summary: Optimization is a crucial area of research in Engineering that can result in cost savings and improved structural safety. Composite structures, which are often complex, require the use of the Finite Element Method for evaluation. Robust Design Optimization (RDO) is an approach that considers uncertainty in design variables or material properties to achieve robust and lightweight solutions. This study combines the advantages of Particle Swarm Optimization (PSO) with fitness assignment methodologies and elitist strategies to obtain a more perceptible Pareto front and faster optimization.
COMPOSITE STRUCTURES
(2022)
Article
Multidisciplinary Sciences
Manuel S. Alvarez-Alvarado, Francisco E. Alban-Chacon, Erick A. Lamilla-Rubio, Carlos D. Rodriguez-Gallegos, Washington Velasquez
Summary: Based on the behavior of quantum particles, mathematical expressions are formulated to develop metaheuristic search optimization algorithms. This research presents three novel quantum-inspired algorithms in a particle swarm scenario excited by Lorentz, Rosen-Morse, and Coulomb-like square root potential fields. The algorithm inspired by the Lorentz potential field demonstrates the most balanced computational performance in terms of exploitation, exploration, and simulation time compared to other mentioned algorithms.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Interdisciplinary Applications
Carlos Millan-Paramo, Joao Elias Abdalla Filho
Summary: This paper presents an improved version of a simulated annealing algorithm (I-MSAA) to tackle the size optimization of truss structures, aiming to enhance the algorithm's performance by drawing inspiration from the water wave optimization algorithm. Experimental results demonstrate that I-MSAA is more reliable, stable, and efficient compared to other existing metaheuristics in the literature.
ENGINEERING WITH COMPUTERS
(2021)
Article
Multidisciplinary Sciences
Xiaoyi Zhang, Qixuan Liu, Xinyao Bai
Summary: In this article, an improved slime mould algorithm (SMA-CSA) is proposed for solving global optimization and the capacitated vehicle routing problem (CVRP). This improvement combines the Cauchy mutation strategy and simulated annealing to enhance the global optimization capability of the SMA. The experimental results show that the SMA-CSA algorithm is competitive and often superior to other algorithms in terms of performance and efficiency in solving the capacitated vehicle routing problem.
Article
Computer Science, Artificial Intelligence
Guoqing Li, Wanliang Wang, Weiwei Zhang, Zheng Wang, Hangyao Tu, Wenbo You
Summary: This paper proposes a grid search based multi-population particle swarm optimization algorithm (GSMPSO-MM) to handle multimodal multi-objective optimization problems (MMOPs), aiming to balance diversity and convergence by adopting multiple populations and grid search methods. The environmental selection operator updates the non-dominated solution archive to improve solution quality.
SWARM AND EVOLUTIONARY COMPUTATION
(2021)
Article
Nanoscience & Nanotechnology
Antonio Boccaccio, Luciano Lamberti, Massimiliano Papi, Marco De Spirito, Carmine Pappalettere
Article
Optics
Cesar A. Sciammarella, Luciano Lamberti
OPTICS AND LASERS IN ENGINEERING
(2016)
Article
Physics, Applied
Antonio Boccaccio, Massimiliano Papi, Marco De Spirito, Luciano Lamberti, Carmine Pappalettere
APPLIED PHYSICS LETTERS
(2013)
Article
Materials Science, Multidisciplinary
C. A. Sciammarella, A. Boccaccio, L. Lamberti, C. Pappalettere, A. Rizzo, M. A. Signore, D. Valerini
EXPERIMENTAL MECHANICS
(2013)
Article
Engineering, Biomedical
F. M. Sciammarella, C. A. Sciammarella, L. Lamberti, M. Styrcula, L. Wei, A. Lakhtakia
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2013)
Article
Mechanics
Cesar A. Sciammarella, Luciano Lamberti
Article
Biology
A. Boccaccio, L. Lamberti, M. Papi, M. De Spirito, C. Douet, G. Goudet, C. Pappalettere
Article
Chemistry, Physical
Antonio Boccaccio, Caterina Casavola, Luciano Lamberti, Carmine Pappalettere
Article
Chemistry, Physical
Nicola Contuzzi, Sabina L. Campanelli, Caterina Casavola, Luciano Lamberti
Proceedings Paper
Optics
C. A. Sciammarella, F. M. Sciammarella, L. Lamberti
ADVANCEMENT OF OPTICAL METHODS IN EXPERIMENTAL MECHANICS, VOL 3
(2015)
Proceedings Paper
Optics
C. A. Sciammarella, L. Lamberti, A. Boccaccio
ADVANCEMENT OF OPTICAL METHODS IN EXPERIMENTAL MECHANICS, VOL 3
(2015)
Proceedings Paper
Optics
F. M. Sciammarella, C. A. Sciammarella, L. Lamberti
ADVANCEMENT OF OPTICAL METHODS IN EXPERIMENTAL MECHANICS, VOL 3
(2015)
Proceedings Paper
Optics
A. Boccaccio, L. Lamberti, M. Papi, C. Douet, G. Goudet, M. De Spirito, C. Pappalettere
ADVANCEMENT OF OPTICAL METHODS IN EXPERIMENTAL MECHANICS, VOL 3
(2015)
Proceedings Paper
Optics
A. Boccaccio, R. Brunelli, L. Lamberti, M. Papi, T. Parasassi, M. De Spirito, C. Pappalettere
ADVANCEMENT OF OPTICAL METHODS IN EXPERIMENTAL MECHANICS, VOL 3
(2015)
Article
Dentistry, Oral Surgery & Medicine
Massimo Corsalini, Daniela Di Venere, Francesco Pettini, Gianluca Stefanachi, Santo Catapano, Antonio Boccaccio, Luciano Lamberti, Carmine Pappalettere, Stefano Carossa
OPEN DENTISTRY JOURNAL
(2014)
Article
Computer Science, Interdisciplinary Applications
Jose Pedro G. Carvalho, Denis E. C. Vargas, Breno P. Jacob, Beatriz S. L. P. Lima, Patricia H. Hallak, Afonso C. C. Lemonge
Summary: This paper formulates a multi-objective structural optimization problem and utilizes multiple evolutionary algorithms to solve it. By optimizing the grouping of structural members, the best truss structure can be found. After analyzing various benchmark problems, the study reveals the existence of competitive structural member configurations beyond symmetry-based groupings.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Se-Hyeon Kang, Hyun-Seok Kim, Seonho Cho
Summary: This paper investigates shape identification using peridynamic theory and gradient-based optimization. The particle-based and non-local characteristics of peridynamics allow for direct interface modeling, avoiding remeshing difficulties. The boundary of scatterers is parameterized using B-spline surfaces, and design sensitivity is obtained using an efficient adjoint variable method. The accuracy and efficiency of the proposed method are verified through numerical examples.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Laura Rio-Martin, A. Prieto
Summary: Any numerical procedure in mechanics requires selecting an appropriate constitutive model for the material. The common assumptions for linear wave propagation in viscoelastic materials include the standard linear solid, Maxwell, Kelvin-Voigt, and fractional derivative models. Typically, the intrinsic parameters of the mathematical model are estimated based on available experimental data to fit the mechanical response of the chosen constitutive law. However, this approach may suffer from the uncertainty of inadequate model selection. In this work, the mathematical modeling and selection of frequency-dependent constitutive laws for linear viscoelastic materials are solely performed based on experimental measurements without imposing any functional frequency dependence. This data-driven methodology involves solving an inverse problem for each frequency.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Pramod Kumar Gupta, Chandrabhan Singh
Summary: In this paper, a novel algorithm is developed to generate the geometrical model of coarse aggregate, and it is further applied in the generation of a finite element model for concrete. Through numerical simulation and comparison with existing literature, the effectiveness of the meso-model is verified.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Xiao Wang, Qingrui Yue, Xiaogang Liu
Summary: This study proposes a graph neural networks-based method to recover the missing connection information in crack meshes, and comparative analysis shows that the trained GraphSAGE outperforms other GNNs on triangular meshing task, revealing the potential of GNNs in restoring missing information.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Dhiraj S. Bombarde, Manish Agrawal, Sachin S. Gautam, Arup Nandy
Summary: The study introduces a novel twenty-seven node quadratic EAS element, addressing the underutilization of quadratic elements in existing 3D EAS elements. Additionally, a six-node wedge and an eighteen-node wedge EAS element are presented in the manuscript.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Hau T. Mai, Seunghye Lee, Joowon Kang, Jaehong Lee
Summary: In this work, an effective Damage-Informed Neural Network (DINN) is developed for pinpointing the position and extent of structural damage. By using a deep neural network and Bayesian optimization algorithm, the proposed method outperforms other algorithms in terms of accuracy and efficiency.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Qingsong Xiong, Qingzhao Kong, Haibei Xiong, Lijia Liao, Cheng Yuan
Summary: This study proposes a novel physics-informed deep 1D convolutional neural network (SSM-CNN) for enhanced seismic response modeling. By construing the differential nexus of state variables derived from the state-space representation of initial structural response, an innovative parameter-free physics-constrained mechanism is designed and embedded for performance enhancement. Experimental validations confirmed the effectiveness and superiority of physics-informed SSM-CNN in seismic response prediction.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
D. Herrero-Perez, S. G. Pico-Vicente
Summary: This work presents an efficient, flexible, and scalable strategy for implementing density-based topology optimization formulation in fail-safe structural design. The use of non-overlapping domain decomposition, adaptive mesh refinement, and computing buffers allows for successful evaluation of fault cases.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Xiangyang Cui, Gongcheng Peng, Qi Ran, Huan Zhang, She Li
Summary: A novel degenerated shell element called MITC4+R is developed, which eliminates various locking problems common to shell elements and significantly improves the computational efficiency. It is based on assumed natural strain method and introduces a physical stabilization term.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Shouyan Jiang, Wangtao Deng, Ean Tat Ooi, Liguo Sun, Chengbin Du
Summary: This study presents an innovative data-driven algorithm that combines the scaled boundary finite element method and a deep learning framework for identifying crack-like defects in large-scale structures. The proposed algorithm accurately determines the number, location, and depth of cracks and is robust to noise. It provides valuable insight into the detection and diagnosis of structural defects.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Shiqiang Qin, Jiacheng Feng, Jian Tang, Xuejin Huo, Yunlai Zhou, Fei Yang, Magd Abdel Wahab
Summary: This study assesses the condition of a CFST arch bridge using in-situ vibration measurements, finite element model updating, and an improved artificial fish swarm algorithm. The results indicate that the bridge has good dynamic performance, but track conditions need improvement before operation.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Md. Imrul Reza Shishir, Alireza Tabarraei
Summary: In this paper, a density-based topology optimization method using neural networks is proposed for designing multi-material domains under combined thermo-mechanical loading. The method achieves automatic sensitivity analysis and removes the need for other optimization algorithms. Experimental results show that the method can handle high-resolution re-sampling, resulting in more refined and smooth optimal topologies.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Bartosz Sobczyk, Lukasz Pyrzowski, Mikolaj Miskiewicz
Summary: This paper describes the problems encountered during the analysis of the structural response of historic masonry railroad arch bridges. It focuses on the stiffness of the masonry arches, their strengths, and the estimation of railroad load intensity. The paper presents computational models created to efficiently describe the responses of the bridges under typical loading conditions and discusses the outcomes of nonlinear static analyses. The possible causes of the deterioration of the bridges' condition were identified through these analyses.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
T. Koudelka, T. Krejci, J. Kruis
Summary: This paper presents a numerical model for the coupled hydro-mechanical behaviour of partially saturated soils, and demonstrates its effective application through a numerical example.
COMPUTERS & STRUCTURES
(2024)