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Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Frontiers of Structural and Civil Engineering   Pages 901-914 doi: 10.1007/s11709-023-0915-8

Abstract: Simplified analytical algorithms for four stress stages are established to describe the bearing behaviorsUsing the proposed simplified analytical algorithms, a parametric investigation is conducted to discuss

Keywords： shield tunnel     segment joint     joint structural model     failure mechanism    

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Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9,   Pages 1127-1140 doi: 10.1007/s11709-022-0838-9

Abstract: This paper deals with the inverse analysis of the crack detection problems using triple hybrid algorithmspaper, this is applied to identify crack location and depth in a cantilever beam using the new hybrid algorithmsThe results show that among the proposed triple hybrid algorithms, the PSO-GA-FA and PSO-GWO-FA algorithms

Keywords： crack     cantilever beam     triple hybrid algorithms     Particle Swarm Optimization    

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Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 354-367 doi: 10.1007/s11465-014-0319-5

Abstract: minimum mass of the studied part, is proposed by combining the response surface method and genetic algorithms

Keywords： planet carrier     multi-objective optimization     genetic algorithms     wind turbine gearbox     modal experiment    

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Development of surface reconstruction algorithms for optical interferometric measurement

Dongxu WU, Fengzhou FANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 1-31 doi: 10.1007/s11465-020-0602-6

Abstract: Theoretical background and recent advances of fringe analysis algorithms, including coherence peak sensing

Keywords： surface topography     measurement     optical interferometry     coherence envelope     phase-shifting algorithm    

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Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Strategic Study of CAE 2005, Volume 7, Issue 4,   Pages 88-94

Abstract:

In this paper the principle of the algorithms on association rule mining is introduced firstly, andresearches of the algorithms on association rule mining are summarized in turn according to variableAt the same time some typical algorithms are analyzed and compared.

Keywords： data mining     association rule     algorithms     survey    

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Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Strategic Study of CAE 2002, Volume 4, Issue 2,   Pages 59-68

Abstract: The researches on multi-objective evolutionary algorithms (MOEA) focus mainly on the Pareto-based comparisonoptimization and decision-making techniques, analyzes both the Pareto-based and non-Pareto-based evolutionary algorithms

Keywords： evolutionary algorithms     multi-objective optimization and decision-making     Pareto optimal    

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Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 490-505 doi: 10.1007/s11709-020-0669-5

Abstract: This study investigates the performance of four machine learning (ML) algorithms to evaluate the earthquake-inducedThe BBN structures that were developed by ML algorithms-K2, hill climbing (HC), tree augmented naiveThe results of this study can provide theoretical support for researchers in selecting appropriate ML algorithms

Keywords： seismic soil liquefaction     Bayesian belief network     cone penetration test     parameter learning     structural learning    

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An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 907-929 doi: 10.1007/s11709-020-0628-1

Abstract: optimization algorithm; in this part of methodology, the performance of the three popular optimization algorithms

Keywords： two-stage method     modal strain energy     surrogate model     GMDH     optimization damage detection    

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Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3,   Pages 378-395 doi: 10.1007/s11709-022-0899-9

Abstract: This paper presents a combined method based on optimized neural networks and optimization algorithmsThe algorithms considered in this step are the arithmetic optimization algorithm (AOA) and genetic algorithmIn the first example, the performance of two algorithms, OANN + AOA + PS and OANN + GA + PS, is investigatedResults show that both the OANN + GA + PS and OANN + AOA + PS algorithms perform well in solving structural

Keywords： optimization     surrogate models     artificial neural network     SAP2000     genetic algorithm    

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Evacuation Reliability Calculation in Case of Building Fire Based on Genetic Algorithms

Wang Jinhui,Lu Shouxiang

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 58-61

Abstract:

The risk of people under building fire is expressed by genetic algorithms (GAs) reliability index

Keywords： genetic algorithms     fire     evacuation     reliability    

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Review of self-referenced measurement algorithms: Bridging lateral shearing interferometry and multi-probe

Dede ZHAI, Shanyong CHEN, Ziqiang YIN, Shengyi LI

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 2,   Pages 143-157 doi: 10.1007/s11465-017-0432-3

Abstract: This paper discusses the reconstruction algorithms for self-referenced measurement and connects lateralIn lateral shearing interferometry, the reconstruction algorithms are generally categorized into modal

Keywords： self-referenced measurement     lateral shearing interferometry     multi-probe error separation     surface metrology    

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Regulatory issues for genetically modified animals

Perry Bradbury HACKETT

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 2,   Pages 188-203 doi: 10.15302/J-FASE-2019307

Abstract: The model is similar to that for information technology in which specific algorithms drive computer andGenome engineers write genetic algorithms that drive the traits in biological organisms.Genetic algorithms (Genapps) of the 21st century will include not only introduction of synthetic genes

Keywords： algorithms     editing     FDA     GMO     recombinant DNA     USDA    

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A general method of designing phase-shifting algorithms for grating lateral shearing interferometry None

Chao FANG, Yang XIANG, Ke-qi QI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 809-814 doi: 10.1631/FITEE.1601692

Abstract: We propose a general method of designing phase-shifting algorithms for grating lateral shearing interferometryThe algorithms compensate for the zeroth-order effect error and phase-shifting error in varying degreesBased on the expression and method, four phase-shifting algorithms are designed with different phase-shifting

Keywords： Interferometry     Phase measurement     Phase-shifting algorithms    

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The Application of FDTD and Micro Genetic Algorithms to the Planar Spiral Inductors

Wang Hongjian,Li Jing,Liu Heguang,Jiang Jingshan

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 38-42

Abstract: The micro genetic algorithms and FDTD are combined to design the high Q inductor.

Keywords： FDTD     genetic algorithms(GA)     spiral inductor     quality factor    

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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, speedily, and effectively. Two different optimization operations were carried out: One used the harmony search (HS) algorithm, combining different ranges of both HS parameters and iteration with population numbers. The other used an estimation application that was done via artificial neural networks (ANN) to find out the estimated values of parameters. To explore the estimation success of ANN models, different test cases were proposed for the three structural designs. Outcomes of the study suggest that ANN estimation for structures is an effective, successful, and speedy tool to forecast and determine the real optimum results for any design model.

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

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Title Author Date Type Operation

Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Journal Article

Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Journal Article

Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Journal Article

Development of surface reconstruction algorithms for optical interferometric measurement

Dongxu WU, Fengzhou FANG

Journal Article

Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Journal Article

Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Journal Article

Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU

Journal Article

An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Journal Article

Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Journal Article

Evacuation Reliability Calculation in Case of Building Fire Based on Genetic Algorithms

Wang Jinhui,Lu Shouxiang

Journal Article

Review of self-referenced measurement algorithms: Bridging lateral shearing interferometry and multi-probe

Dede ZHAI, Shanyong CHEN, Ziqiang YIN, Shengyi LI

Journal Article

Regulatory issues for genetically modified animals

Perry Bradbury HACKETT

Journal Article

A general method of designing phase-shifting algorithms for grating lateral shearing interferometry

Chao FANG, Yang XIANG, Ke-qi QI

Journal Article

The Application of FDTD and Micro Genetic Algorithms to the Planar Spiral Inductors

Wang Hongjian,Li Jing,Liu Heguang,Jiang Jingshan

Journal Article

Estimation of optimum design of structural systems via machine learning

Journal Article