Machine learning models for predicting resistance of headed studs embedded in concrete

On the Use of Machine Learning Models for Prediction of Compressive Strength of Concrete: Influence of Dimensionality Reduction on the Model Performance

(2021) Zhi Wan et al.   Materials

Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach

(2021) Jesika Rahman et al.   ENGINEERING STRUCTURES

Strength prediction of concrete-filled steel tubular columns using Categorical Gradient Boosting algorithm

(2021) Seunghye Lee et al.   ENGINEERING STRUCTURES

Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniques

(2021) Tien-Thinh Le et al.   ENGINEERING WITH COMPUTERS

Digital twin, physics-based model, and machine learning applied to damage detection in structures

(2021) T.G. Ritto et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Application of extreme learning machine in behavior of beam to column connections

(2020) Yan Cao et al.   Structures

Mapping and holistic design of natural hydraulic lime mortars

(2020) Maria Apostolopoulou et al.   CEMENT AND CONCRETE RESEARCH

Evaluating structural response of concrete-filled steel tubular columns through machine learning

(2020) M.Z. Naser et al.   Journal of Building Engineering

Neural network application for distortional buckling capacity assessment of castellated steel beams

(2020) Mahmoud Hosseinpour et al.   Structures

Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete

(2020) Min-Chang Kang 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

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

(2020) Onur Avci et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Online prediction of mechanical properties of hot rolled steel plate using machine learning

(2020) Qian Xie et al.   MATERIALS & DESIGN

Machine learning in additive manufacturing: State-of-the-art and perspectives

(2020) C. Wang et al.   Additive Manufacturing

Machine learning applications for building structural design and performance assessment: State-of-the-art review

(2020) Han Sun et al.   Journal of Building Engineering

Neural networks for predicting shear strength of CFS channels with slotted webs

(2020) Vitaliy V. Degtyarev   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Stochastic Vulnerability Assessment of Masonry Structures: Concepts, Modeling and Restoration Aspects

(2019) Panagiotis G. Asteris et al.   Applied Sciences-Basel

Numerical evaluation of the plastic hinges developed in headed stud shear connectors in composite beams with profiled steel sheeting

(2019) V. Vigneri et al.   Structures

Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer

(2019) Emadaldin Mohammadi Golafshani et al.   CONSTRUCTION AND BUILDING MATERIALS

Concrete compressive strength using artificial neural networks

(2019) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Classification of failure mode and prediction of shear strength for reinforced concrete beam-column joints using machine learning techniques

(2018) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Anisotropic masonry failure criterion using artificial neural networks

(2016) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

SUPPORT VECTOR MACHINES IN STRUCTURAL ENGINEERING: A REVIEW

(2015) Abdulkadir Çevik et al.   Journal of Civil Engineering and Management

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

(2015) Alex Goldstein et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Static behavior of multi-stud shear connectors for steel-concrete composite bridge

(2012) Dongyan Xue et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Prediction of FRP-confined compressive strength of concrete using artificial neural networks

(2010) H. Naderpour et al.   COMPOSITE STRUCTURES

Headed steel stud anchors in composite structures, Part I: Shear

(2009) Luis Pallarés et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH