Effects of variability in experimental database on machine-learning-based prediction of ultimate load of circular concrete-filled steel tubes
出版年份 2021 全文链接
标题
Effects of variability in experimental database on machine-learning-based prediction of ultimate load of circular concrete-filled steel tubes
作者
关键词
Variability propagation, Regression machine-learning models, Circular concrete-filled steel tubes, Support vector machine, Ultimate load
出版物
MEASUREMENT
Volume 176, Issue -, Pages 109198
出版商
Elsevier BV
发表日期
2021-02-26
DOI
10.1016/j.measurement.2021.109198
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A practical ANN model for predicting the PSS of two-way reinforced concrete slabs
- (2020) Viet-Linh Tran et al. ENGINEERING WITH COMPUTERS
- Degradation of Axial Ultimate Load-Bearing Capacity of Circular Thin-Walled Concrete-Filled Steel Tubular Stub Columns after Corrosion
- (2020) Fengjie Zhang et al. Materials
- Compositional kernel learning using tree-based genetic programming for Gaussian process regression
- (2020) Seung-Seop Jin STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Dynamic performance of RAC-filled double-skin tubular columns subjected to cyclic axial compression
- (2020) Zhe Xiong et al. CONSTRUCTION AND BUILDING MATERIALS
- Axial compression behavior of recycled-aggregate-concrete-filled GFRP–steel composite tube columns
- (2020) Yunchao Tang et al. ENGINEERING STRUCTURES
- Practical artificial neural network tool for predicting the axial compression capacity of circular concrete-filled steel tube columns with ultra-high-strength concrete
- (2020) Viet-Linh Tran et al. THIN-WALLED STRUCTURES
- Efficiency of three advanced data-driven models for predicting axial compression capacity of CFDST columns
- (2020) Viet-Linh Tran et al. THIN-WALLED STRUCTURES
- Axial compressive behaviour of circular concrete-filled steel tubular stub columns with an inner bamboo culm
- (2020) Dan Gan et al. Structures
- Vision-Based Three-Dimensional Reconstruction and Monitoring of Large-Scale Steel Tubular Structures
- (2020) Yunchao Tang et al. Advances in Civil Engineering
- Probabilistic modeling of surface effects in nano-reinforced materials
- (2020) Tien-Thinh Le COMPUTATIONAL MATERIALS SCIENCE
- Probabilistic investigation of the effect of stochastic imperfect interfaces in nanocomposites
- (2020) Tien-Thinh Le MECHANICS OF MATERIALS
- Prediction of Ultimate Load of Rectangular CFST Columns Using Interpretable Machine Learning Method
- (2020) Tien-Thinh Le et al. Advances in Civil Engineering
- Optimization design of rectangular concrete-filled steel tube short columns with Balancing Composite Motion Optimization and data-driven model
- (2020) Huan Thanh Duong et al. Structures
- Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures
- (2019) Panagiotis G. Asteris et al. NEURAL COMPUTING & APPLICATIONS
- Axial Compression Performance of Square Thin Walled Concrete-Filled Steel Tube Stub Columns with Reinforcement Stiffener under Constant High-Temperature
- (2019) Xuetao Lyu et al. Materials
- Concrete-filled steel tubular columns: Test database, design and calibration
- (2019) Son Thai et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- An additive Gaussian process regression model for interpretable non-parametric analysis of longitudinal data
- (2019) Lu Cheng et al. Nature Communications
- Prediction of Ultimate Axial Capacity of Square Concrete-Filled Steel Tubular Short Columns Using a Hybrid Intelligent Algorithm
- (2019) Qiubing Ren et al. Applied Sciences-Basel
- Gaussian process regression-based forecasting model of dam deformation
- (2019) Chaoning Lin et al. NEURAL COMPUTING & APPLICATIONS
- Uni-axial behaviour of externally confined UHSCFST columns
- (2019) M.H. Lai et al. THIN-WALLED STRUCTURES
- Application of ANN in predicting ACC of SCFST column
- (2019) Viet-Linh Tran et al. COMPOSITE STRUCTURES
- High-accuracy multi-camera reconstruction enhanced by adaptive point cloud correction algorithm
- (2019) Mingyou Chen et al. OPTICS AND LASERS IN ENGINEERING
- Real-time detection of surface deformation and strain in recycled aggregate concrete-filled steel tubular columns via four-ocular vision
- (2019) Yunchao Tang et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Morphology characterization of irregular particles using image analysis. Application to solid inorganic fertilizers
- (2018) Tien-Thinh Le et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete
- (2018) Dac-Khuong Bui et al. CONSTRUCTION AND BUILDING MATERIALS
- Evaluating unconfined compressive strength of cohesive soils stabilized with geopolymer: a computational intelligence approach
- (2018) Hamed Javdanian et al. ENGINEERING WITH COMPUTERS
- Study of seismic behavior of recycled aggregate concrete-filled steel tubular columns
- (2018) Yun-Chao Tang et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Experimental study on axially compressed circular CFST columns with improved confinement effect
- (2018) Liusheng He et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Axial performance of short concrete filled steel tubes with high- and ultra-high- strength materials
- (2017) Ming-Xiang Xiong et al. ENGINEERING STRUCTURES
- Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials
- (2017) Panagiotis Asteris et al. SENSORS
- Effect of friction on axially loaded stub circular tubed columns
- (2016) Jiepeng Liu et al. ADVANCES IN STRUCTURAL ENGINEERING
- Stochastic continuum modeling of random interphases from atomistic simulations. Application to a polymer nanocomposite
- (2016) T.T. Le et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Experimental behavior and design method of rectangular concrete-filled tubular columns using Q460 high-strength steel
- (2016) Yansheng Du et al. CONSTRUCTION AND BUILDING MATERIALS
- Application of JAYA algorithm for the optimization of machining performance characteristics during the turning of CFRP (epoxy) composites: comparison with TLBO, GA, and ICA
- (2016) Kumar Abhishek et al. ENGINEERING WITH COMPUTERS
- Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction
- (2016) Maciej Zięba et al. EXPERT SYSTEMS WITH APPLICATIONS
- ANN Model for Predicting the Compressive Strength of Circular Steel-Confined Concrete
- (2016) M. Ahmadi et al. International Journal of Civil Engineering
- Ultimate capacity prediction of axially loaded CFST short columns
- (2016) Esra Mete Güneyisi et al. International Journal of Steel Structures
- Generation of stochastic weather data for uncertainty and sensitivity analysis of a low-energy building
- (2016) Jeanne Goffart et al. Journal of Building Physics
- Stability Analysis and Design of Composite Structures
- (2016) Mark D. Denavit et al. JOURNAL OF STRUCTURAL ENGINEERING
- A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam
- (2016) Kien-Trinh Thi Bui et al. NEURAL COMPUTING & APPLICATIONS
- Stability Analysis and Design of Composite Structures
- (2016) Mark D. Denavit et al. JOURNAL OF STRUCTURAL ENGINEERING
- Effect of continuous spirals on uni-axial strength and ductility of CFST columns
- (2015) M.H. Lai et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Axial strengthening of thin-walled concrete-filled-steel-tube columns by circular steel jackets
- (2015) M.H. Lai et al. THIN-WALLED STRUCTURES
- Confinement effect of ring-confined concrete-filled-steel-tube columns under uni-axial load
- (2014) M.H. Lai et al. ENGINEERING STRUCTURES
- Developments and advanced applications of concrete-filled steel tubular (CFST) structures: Members
- (2014) Lin-Hai Han et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Prediction of axial load capacity of stub circular concrete-filled steel tube using fuzzy logic
- (2014) Jiho Moon et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Experimental study on concrete filled elliptical/oval steel tubular stub columns under compression
- (2014) Kojiro Uenaka THIN-WALLED STRUCTURES
- Experimental and theoretical studies of confined HSCFST columns under uni-axial compression
- (2014) M.H. Lai et al. Earthquakes and Structures
- Stochastic framework for modeling the linear apparent behavior of complex materials: Application to random porous materials with interphases
- (2013) J. Guilleminot et al. ACTA MECHANICA SINICA
- Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns
- (2013) Joaquim Tinoco et al. COMPUTERS AND GEOTECHNICS
- Machine learning of molecular electronic properties in chemical compound space
- (2013) Grégoire Montavon et al. NEW JOURNAL OF PHYSICS
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- (2012) Adam P. Piotrowski et al. JOURNAL OF HYDROLOGY
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- (2012) Dieu Tien Bui et al. MATHEMATICAL PROBLEMS IN ENGINEERING
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- (2012) Weijie Chen et al. PATTERN RECOGNITION
- Compressive strength of circular concrete filled steel tube columns
- (2012) M. Dundu THIN-WALLED STRUCTURES
- Using fuzzy inference system for architectural space analysis
- (2009) Burcin Cem Arabacioglu APPLIED SOFT COMPUTING
- Least-square support vector machine applied to settlement of shallow foundations on cohesionless soils
- (2008) Pijush Samui et al. INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
- A working guide to boosted regression trees
- (2008) J. Elith et al. JOURNAL OF ANIMAL ECOLOGY
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