Buckling and ultimate load prediction models for perforated steel beams using machine learning algorithms
出版年份 2022 全文链接
标题
Buckling and ultimate load prediction models for perforated steel beams using machine learning algorithms
作者
关键词
-
出版物
Journal of Building Engineering
Volume 51, Issue -, Pages 104316
出版商
Elsevier BV
发表日期
2022-03-11
DOI
10.1016/j.jobe.2022.104316
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。- Machine learning for structural engineering: A state-of-the-art review
- (2022) Huu-Tai Thai Structures
- Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements
- (2021) De-Cheng Feng et al. ENGINEERING STRUCTURES
- Development of extreme gradient boosting model for prediction of punching shear resistance of r/c interior slabs
- (2021) Hoang D. Nguyen et al. ENGINEERING STRUCTURES
- Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach
- (2021) Jesika Rahman et al. ENGINEERING STRUCTURES
- Application of Artificial Neural Networks for web-post shear resistance of cellular steel beams
- (2021) Vireen Limbachiya et al. THIN-WALLED STRUCTURES
- An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference
- (2021) M.Z. Naser AUTOMATION IN CONSTRUCTION
- Strength prediction of concrete-filled steel tubular columns using Categorical Gradient Boosting algorithm
- (2021) Seunghye Lee et al. ENGINEERING STRUCTURES
- Empirical-based support vector machine method for seismic assessment and simulation of reinforced concrete columns using historical cyclic tests
- (2021) Zhenliang Liu et al. ENGINEERING STRUCTURES
- Failure mode identification of column base plate connection using data-driven machine learning techniques
- (2021) Md. Asif Bin Kabir et al. ENGINEERING STRUCTURES
- Capacity prediction of cold-formed stainless steel tubular columns using machine learning methods
- (2021) Yan Xu et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Seismic Drift Demand Estimation for Steel Moment Frame Buildings: From Mechanics-Based to Data-Driven Models
- (2021) Xingquan Guan et al. JOURNAL OF STRUCTURAL ENGINEERING
- Explainable machine learning models for punching shear strength estimation of flat slabs without transverse reinforcement
- (2021) Sujith Mangalathu et al. Journal of Building Engineering
- Lateral–torsional buckling resistance prediction model for steel cellular beams generated by Artificial Neural Networks (ANN)
- (2021) Felipe Piana Vendramell Ferreira et al. THIN-WALLED STRUCTURES
- StructuresNet and FireNet: Benchmarking databases and machine learning algorithms in structural and fire engineering domains
- (2021) M.Z. Naser et al. Journal of Building Engineering
- Boosting machines for predicting shear strength of CFS channels with staggered web perforations
- (2021) V.V. Degtyarev et al. Structures
- Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls
- (2020) Sujith Mangalathu et al. ENGINEERING STRUCTURES
- A novel support vector regression (SVR) model for the prediction of splice strength of the unconfined beam specimens
- (2020) Mohammad Suhaib Ahmad et al. CONSTRUCTION AND BUILDING MATERIALS
- Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach
- (2020) Sujith Mangalathu et al. ENGINEERING STRUCTURES
- Machine learning-based approaches for seismic demand and collapse of ductile reinforced concrete building frames
- (2020) Seong-Hoon Hwang et al. Journal of Building Engineering
- Compressive strength prediction of high-performance concrete using gradient tree boosting machine
- (2020) Mosbeh R. Kaloop et al. CONSTRUCTION AND BUILDING MATERIALS
- Machine learning prediction of compressive strength for phase change materials integrated cementitious composites
- (2020) Afshin Marani et al. CONSTRUCTION AND BUILDING MATERIALS
- Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete
- (2020) Min-Chang Kang et al. CONSTRUCTION AND BUILDING MATERIALS
- Efficient machine learning models for prediction of concrete strengths
- (2020) Hoang Nguyen et al. CONSTRUCTION AND BUILDING MATERIALS
- Machine learning framework for predicting failure mode and shear capacity of ultra high performance concrete beams
- (2020) Roya Solhmirzaei et al. ENGINEERING STRUCTURES
- Shear capacity prediction of slender reinforced concrete structures with steel fibers using machine learning
- (2020) Oladimeji Benedict Olalusi et al. ENGINEERING STRUCTURES
- Selected machine learning approaches for predicting the interfacial bond strength between FRPs and concrete
- (2020) Miao Su et al. CONSTRUCTION AND BUILDING MATERIALS
- Neural networks for predicting shear strength of CFS channels with slotted webs
- (2020) Vitaliy V. Degtyarev JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Data-Driven Approach to Predict the Plastic Hinge Length of Reinforced Concrete Columns and Its Application
- (2020) De-Cheng Feng et al. JOURNAL OF STRUCTURAL ENGINEERING
- Shear behaviour and strength design of cellular beams with circular or elongated openings
- (2020) Lan Kang et al. THIN-WALLED STRUCTURES
- A machine learning-based time-dependent shear strength model for corroded reinforced concrete beams
- (2020) Bo Fu et al. Journal of Building Engineering
- Neural networks for lateral torsional buckling strength assessment of cellular steel I-beams
- (2019) Yasser Sharifi et al. ADVANCES IN STRUCTURAL ENGINEERING
- Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression
- (2019) Junfei Zhang et al. CONSTRUCTION AND BUILDING MATERIALS
- Fire Damage Identification in RC Beams based on Support Vector Machines considering Vibration Test
- (2019) Chaofeng Liu et al. KSCE Journal of Civil Engineering
- Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach
- (2019) De-Cheng Feng et al. CONSTRUCTION AND BUILDING MATERIALS
- Emerging artificial intelligence methods in structural engineering
- (2018) Hadi Salehi et al. ENGINEERING STRUCTURES
- Design procedure for the web-post buckling of steel cellular beams
- (2018) Lucas Figueiredo Grilo et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Lateral-torsional buckling of cellular beams according to the possible updating of EC3
- (2018) Felipe Piana Vendramell Ferreira et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Artificial intelligence in healthcare: past, present and future
- (2017) Fei Jiang et al. JOURNAL OF INVESTIGATIVE MEDICINE
- Review and Assessment of Design Methodologies for Perforated Steel Beams
- (2016) Vahid Akrami et al. JOURNAL OF STRUCTURAL ENGINEERING
- Cellular beam design for resistance to inelastic lateral–torsional buckling
- (2016) Pattamad Panedpojaman et al. THIN-WALLED STRUCTURES
- Review and Assessment of Design Methodologies for Perforated Steel Beams
- (2016) Vahid Akrami et al. JOURNAL OF STRUCTURAL ENGINEERING
- Application of structural topology optimisation to perforated steel beams
- (2015) Konstantinos Daniel Tsavdaridis et al. COMPUTERS & STRUCTURES
- SUPPORT VECTOR MACHINES IN STRUCTURAL ENGINEERING: A REVIEW
- (2015) Abdulkadir Çevik et al. Journal of Civil Engineering and Management
- Lateral–torsional buckling resistance of cellular beams
- (2015) Delphine Sonck et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Assessment of cellular beams with transverse stiffeners and closely spaced web openings
- (2015) Konstantinos Daniel Tsavdaridis et al. THIN-WALLED STRUCTURES
- Buckling analysis of a beam–column using multilayer perceptron neural network technique
- (2013) Manoj Kumar et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Analytical prediction of available rotation capacity of cold-formed rectangular and square hollow section beams
- (2013) Mario D'Aniello et al. THIN-WALLED STRUCTURES
- Novel design equations for shear strength of local web-post buckling in cellular beams
- (2013) Pattamad Panedpojaman et al. THIN-WALLED STRUCTURES
- Ultimate load carrying capacity of optimally designed steel cellular beams
- (2012) Ferhat Erdal et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Vierendeel Bending Study of Perforated Steel Beams with Various Novel Web Opening Shapes through Nonlinear Finite-Element Analyses
- (2012) Konstantinos Daniel Tsavdaridis et al. JOURNAL OF STRUCTURAL ENGINEERING
- A comparative study of AISC-360 and EC3 strength limit states
- (2011) Cem Topkaya et al. International Journal of Steel Structures
- Web buckling study of the behaviour and strength of perforated steel beams with different novel web opening shapes
- (2011) Konstantinos Daniel Tsavdaridis et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Nonlinear analysis of cellular steel beams under combined buckling modes
- (2011) Ehab Ellobody THIN-WALLED STRUCTURES
- Elastic lateral stability of I-shaped cellular steel beams
- (2010) Amr M.I. Sweedan JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Optimum design of steel structures with web openings
- (2008) Nikos D. Lagaros et al. ENGINEERING STRUCTURES
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