A machine learning-based time-dependent shear strength model for corroded reinforced concrete beams

Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls

(2020) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Metaresearching Structural Engineering Using Text Mining: Trend Identifications and Knowledge Gap Discoveries

(2020) Mohamed Ezzeldin et al.   JOURNAL OF STRUCTURAL ENGINEERING

Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm

(2020) De-Cheng Feng et al.   ADVANCED ENGINEERING INFORMATICS

Machine-learning-assisted shear strength prediction of reinforced concrete beams with and without stirrups

(2020) Junfei Zhang et al.   ENGINEERING WITH COMPUTERS

Progressive collapse performance analysis of precast reinforced concrete structures

(2019) De-Cheng Feng et al.   STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS

Deep learning-based classification of earthquake-impacted buildings using textual damage descriptions

(2019) Sujith Mangalathu et al.   International Journal of Disaster Risk Reduction

Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models

(2019) Jui-Sheng Chou et al.   SOFT COMPUTING

Stripe‐based fragility analysis of multispan concrete bridge classes using machine learning techniques

(2019) Sujith Mangalathu et al.   EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS

Probabilistic failure analysis of reinforced concrete beam-column sub-assemblage under column removal scenario

(2019) De-Cheng Feng et al.   ENGINEERING FAILURE ANALYSIS

Load-carrying capacity and mode failure simulation of beam-column joint connection: Application of self-tuning machine learning model

(2019) Afrah Abdulelah Hamzah Alwanas et al.   ENGINEERING STRUCTURES

Probabilistic machine learning approach to bridge fatigue failure analysis due to vehicular overloading

(2019) Wangchen Yan et al.   ENGINEERING STRUCTURES

Classification of in-plane failure modes for reinforced concrete frames with infills using machine learning

(2019) Honglan Huang et al.   Journal of Building Engineering

Machine Learning–Based Failure Mode Recognition of Circular Reinforced Concrete Bridge Columns: Comparative Study

(2019) Sujith Mangalathu et al.   JOURNAL OF STRUCTURAL ENGINEERING

Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

(2019) De-Cheng Feng et al.   CONSTRUCTION AND BUILDING MATERIALS

Rapid seismic damage evaluation of bridge portfolios using machine learning techniques

(2019) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Machine learning algorithms for structural performance classifications and predictions: Application to reinforced masonry shear walls

(2019) Ahmad Siam et al.   Structures

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

Emerging artificial intelligence methods in structural engineering

(2018) Hadi Salehi et al.   ENGINEERING STRUCTURES

An empirical model for the shear strength of corroded reinforced concrete beam

(2018) Zhao-Hui Lu et al.   CONSTRUCTION AND BUILDING MATERIALS

Pattern recognition approach to assess the residual structural capacity of damaged tall buildings

(2018) Yu Zhang et al.   STRUCTURAL SAFETY

Influence of Stirrup Corrosion on Shear Strength of Reinforced Concrete Slender Beams

(2016) Ahmed K. El-Sayed et al.   ACI STRUCTURAL JOURNAL

Punching shear capacity estimation of FRP-reinforced concrete slabs using a hybrid machine learning approach

(2015) Duy-Thang Vu et al.   Structure and Infrastructure Engineering

Statistical models for shear strength of RC beam-column joints using machine-learning techniques

(2014) Jong-Su Jeon et al.   EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS

Prediction of the transfer length of prestressing strands with neural networks

(2013) Jose R. Marti-Vargas et al.   Computers and Concrete

Experimental and analytical study of corroded shear-critical reinforced concrete beams

(2013) Inamullah Khan et al.   MATERIALS AND STRUCTURES

Signal Pattern Recognition for Damage Diagnosis in Structures

(2012) Long Qiao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Shear performance of reinforced concrete beams with corroded stirrups in chloride environment

(2011) Jin Xia et al.   CORROSION SCIENCE

Ultimate and nominal shear strength in reinforced concrete beams deteriorated by corrosion

(2011) C.A. Juarez et al.   ENGINEERING STRUCTURES

Damage classification and estimation in experimental structures using time series analysis and pattern recognition

(2010) Oliver R. de Lautour et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Pattern recognition of structural behaviors based on learning algorithms and symbolic data concepts

(2010) Alexandre Cury et al.   Structural Control & Health Monitoring

Artificial immune pattern recognition for structure damage classification

(2009) Bo Chen et al.   COMPUTERS & STRUCTURES

Statistical pattern recognition for Structural Health Monitoring using time series modeling: Theory and experimental verifications

(2009) Mustafa Gul et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The selection of pattern features for structural damage detection using an extended Bayesian ANN algorithm

(2008) Heung Fai Lam et al.   ENGINEERING STRUCTURES

Seismic fragility estimates for reinforced concrete bridges subject to corrosion

(2008) Do-Eun Choe et al.   STRUCTURAL SAFETY

A pattern recognition technique for structural identification using observed vibration signals: Nonlinear case studies

(2007) Jian Zhang et al.   ENGINEERING STRUCTURES

A pattern recognition technique for structural identification using observed vibration signals: Linear case studies

(2007) Jian Zhang et al.   ENGINEERING STRUCTURES