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Multi-population particle swarm optimization algorithm for automatic design of steel frames

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 1,   Pages 89-103 doi: 10.1007/s11709-024-1037-7

Abstract: The related parameter influences on optimization results are discussed.purpose of the study is to propose a method with high efficiency and robustness that is not confined to structuralscales and design codes.It aims to provide a reference for automatic structural optimization design problems even with dimensionalThe proposed method can be easily generalized to the optimization problem of other structural systems

Keywords： steel frame     multi-population particle swarm optimization     automatic structural optimization design    

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Multidisciplinary co-design optimization of structural and control parameters for bucket wheel reclaimer

Yongliang YUAN, Liye LV, Shuo WANG, Xueguan SONG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 3,   Pages 406-416 doi: 10.1007/s11465-019-0578-2

Abstract: The conventional design strategy, namely, sequential strategy, is structural design followed by controloptimization.The co-design strategy is explored to address the aforementioned problem by combining the structuraland control system design based on simultaneous dynamic optimization approach.Co-design strategy is implemented to resolve the optimization problem, and numerical results are compared

Keywords： bucket wheel reclaimer     co-design     energy-minimum optimization     sequential strategy    

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Estimation of optimum design of structural systems via machine learning

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1441-1452 doi: 10.1007/s11709-021-0774-0

Abstract: Three different structural engineering designs were investigated to determine optimum design variables, and then to estimate design parameters and the main objective function of designs directly, speedilyTwo different optimization operations were carried out: One used the harmony search (HS) algorithm, combiningTo explore the estimation success of ANN models, different test cases were proposed for the three structuralan effective, successful, and speedy tool to forecast and determine the real optimum results for any design

Keywords： optimization     metaheuristic algorithms     harmony search     structural designs     machine learning     artificial    

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Structural optimal design of a swing vane compressor

Junjie MA,Xiang CHEN,Zongchang QU

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 764-769 doi: 10.1007/s11708-016-0449-z

Abstract: compressor geometry model, thermodynamic model and kinetic model, the mathematical model of optimum designThe length of the cylinder, radius of the rotor and cylinder were defined as design variables and theThe complex optimization method was adopted to study the structure of the swing vane compressor.could provide an effective method for predicting compressor performance, which would also contribute to structuraloptimization of the SVC.

Keywords： swing vane compressor     simulation     optimization design    

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Concurrent optimization of structural topology and infill properties with a CBF-based level set method

Long JIANG, Yang GUO, Shikui CHEN, Peng WEI, Na LEI, Xianfeng David GU

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 171-189 doi: 10.1007/s11465-019-0530-5

Abstract: optimize the structural topology at the macroscale and the effective infill properties at the micro/Within the proposed framework, both the structural boundary evolution and the effective infill propertyThe proposed CBF parameterization ensures an explicit impose of the lower and upper bounds of the designof the conventional RBF-based parametric level set method, where the lower and upper bounds of the designto provide a timely solution to the increasing demand for multiscale and multifunctional structure design

Keywords： concurrent topology optimization     parametric level set method     cardinal basis function     shell-infill structuredesign     conformal mapping    

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Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1110-1130 doi: 10.1007/s11709-020-0643-2

Abstract: We propose a new algorithm, named Asymmetric Genetic Algorithm (AGA), for solving optimization problemsminimize the weight of the whole steel structure under the constraint of ultimate loads defined for structuralDesign variables are the cross-sectional areas of elements (beams and columns) that are selected from(PSO), Particle Swarm Optimizer with Passive Congregation (PSOPC), Particle Swarm Ant Colony OptimizationIn addition, five numerical examples are optimized by AGA, Genetic Algorithm (GA), and optimization modules

Keywords： optimization     steel frame     Asymmetric Genetic Algorithm     constraints of ultimate load     constraints of serviceability    

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Achieving desired nodal lines in freely vibrating structures via material-field series-expansion topology optimization

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0758-y

Abstract: In this study, an effective material-field series-expansion (MFSE)-based topology optimization designHere, two typical optimization targets are established: (1) minimizing the difference between structuralTo solve this complex optimization problem, the structural topology of structures is first representedby a few design variables on the basis of the MFSE model.requiring design sensitivity analysis.

Keywords： nodal line     topology optimization     structural dynamics design     material-field series-expansion    

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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: knowledge on CNN training and fault diagnosis, and is always time consuming and labor intensive, making the automatichyper parameter optimization (HPO) of CNN models essential.To solve this problem, this paper proposes a novel automatic CNN (ACNN) for fault diagnosis, which canIt is compared with four commonly used HPO methods, namely, random search, Bayesian optimization, tree

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

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Advances in Intellectualization of Transportation Infrastructures Review

Yanliang Du, Tinghua Yi, Xiaojun Li, Xiaoli Rong, Longjun Dong, Dawei Wang, Yang Gao, Zhen Leng

Engineering 2023, Volume 24, Issue 5,   Pages 240-253 doi: 10.1016/j.eng.2023.01.011

Abstract: ;">Inspired by state-of-the-art material science, computer techniques, artificial intelligence, and automaticThen, following the whole life-cycle chain of design, construction, operational maintenance, and elimination

Keywords： Intellectualization     Transportation infrastructures     Optimal design     Automatic construction     Structuralhealth monitoring     Structural elimination    

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From Computer-Aided Design (CAD) Toward Human-Aided Design (HAD): An Isogeometric Topology Optimization

Yingjun Wang,Mi Xiao,Zhaohui Xia,Peigen Li,Liang Gao

Engineering 2023, Volume 22, Issue 3,   Pages 94-105 doi: 10.1016/j.eng.2022.07.013

Abstract:

In this paper, the novel design mode of human-aided design (HAD) is proposed to replace conventionalcomputer-aided design (CAD).In HAD, computers can automatically complete the whole product design via a new isogeometric topologyoptimization (ITO), while humans just assist to slightly modify the design to meet requirements.An embedded domain ITO is presented to design complex models with irregular design domains, and editable

Keywords： Human-aided design     CAD/CAE integration     Isogeometric analysis     Structural optimization     Isogeometric topologyoptimization    

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Seismic performance of HWBBF considering different design methods and structural heights

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 12,   Pages 1849-1870 doi: 10.1007/s11709-023-0020-z

Abstract: Force-based and displacement-based design methods have been proposed to design HWBB to strengthen steelMRF and this paper comprehensively compares these two design methods, in terms of design steps, advantagesThirdly, nonlinear time history analyses are conducted to compare the structural responses of the MRFsThe results show the following. 1) HW seismic force demands increase as structural height increases,which may lead to uneconomical HW design.

Keywords： hinged wall     moment-resisting frame     seismic design     displacement-based design     nonlinear time-history    

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Improving the structural efficiency of textured three-dimensional concrete printing wall by architecturaldesign

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 5,   Pages 699-715 doi: 10.1007/s11709-024-1001-6

Abstract: This work aims to perform structural analysis of several patterns of geometric textured 3DCP shell walltextured patterns of 3DCP shell wall structures were architecturally designed and then subjected to structuralThe results indicated that by designing appropriate patterns, the structural performance to weight ratioThe study therefore offers an innovative design process for constructing 3DCP housing and suggests pre-construction

Keywords： 3D printing     concrete     architectural design     shell wall     finite element method    

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Synergistic optimization framework for the process synthesis and design of biorefineries

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 251-273 doi: 10.1007/s11705-021-2071-9

Abstract: The conceptual process design of novel bioprocesses in biorefinery setups is an important task, whichWe propose a novel framework incorporating superstructure optimization and simulation-based optimizationIn this context, several approaches for superstructure optimization based on different surrogate modelsThe results indicate that even though surrogate-based optimization approaches alleviate the underlyingdesign under uncertainty offer an alternative and promising approach.

Keywords： biotechnology     surrogate modelling     superstructure optimization     simulation-based optimization     processdesign    

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Investigation of the structural form optimization methods of high-rise buildings

ZHANG Shihai, WANG Li, OU Jinping, WANG Guangyuan

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 2,   Pages 182-187 doi: 10.1007/s11709-007-0020-4

Abstract: In this paper, the structural form optimization methods of high-rise buildings based on the expert systemIt is predicted that the incorporation of these three techniques into an intelligent form optimizationconsideration of the needs of human beings, machinery and computation, the model has been used for structuraldesign combined with relevant knowledge, means, maneuver and strategy.It effectively reduces the blindness and failure of computer-aided structural design.

Keywords： case-based reasoning     computation     KDD     important development     high-rise    

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Effects of green roof damping and configuration on structural seismic response

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 8,   Pages 1133-1144 doi: 10.1007/s11709-023-0959-9

Abstract: Hence, their structural resilience or ability to recover from natural events must be considered comprehensivelyAdditionally, certain configurations are more effective and beneficial to the structural response thanothers, which suggests the possibility of design optimization.Based on the findings of this study, new methods of modeling and considering green roofs in structuraldesign are established.

Keywords： green infrastructure     green roof     structural resilience     seismic design    

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Title Author Date Type Operation

Multi-population particle swarm optimization algorithm for automatic design of steel frames

Journal Article

Multidisciplinary co-design optimization of structural and control parameters for bucket wheel reclaimer

Yongliang YUAN, Liye LV, Shuo WANG, Xueguan SONG

Journal Article

Estimation of optimum design of structural systems via machine learning

Journal Article

Structural optimal design of a swing vane compressor

Junjie MA,Xiang CHEN,Zongchang QU

Journal Article

Concurrent optimization of structural topology and infill properties with a CBF-based level set method

Long JIANG, Yang GUO, Shikui CHEN, Peng WEI, Na LEI, Xianfeng David GU

Journal Article

Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Journal Article

Achieving desired nodal lines in freely vibrating structures via material-field series-expansion topology optimization

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

Advances in Intellectualization of Transportation Infrastructures

Yanliang Du, Tinghua Yi, Xiaojun Li, Xiaoli Rong, Longjun Dong, Dawei Wang, Yang Gao, Zhen Leng

Journal Article

From Computer-Aided Design (CAD) Toward Human-Aided Design (HAD): An Isogeometric Topology Optimization

Yingjun Wang,Mi Xiao,Zhaohui Xia,Peigen Li,Liang Gao

Journal Article

Seismic performance of HWBBF considering different design methods and structural heights

Journal Article

Improving the structural efficiency of textured three-dimensional concrete printing wall by architecturaldesign

Journal Article

Synergistic optimization framework for the process synthesis and design of biorefineries

Journal Article

Investigation of the structural form optimization methods of high-rise buildings

ZHANG Shihai, WANG Li, OU Jinping, WANG Guangyuan

Journal Article

Effects of green roof damping and configuration on structural seismic response

Journal Article