Prediction of seismic drift responses of planar steel moment frames using artificial neural network and extreme gradient boosting

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

Probabilistic evaluation of seismic responses using deep learning method

(2020) Taeyong Kim et al.   STRUCTURAL SAFETY

The promise of implementing machine learning in earthquake engineering: A state-of-the-art review

(2020) Yazhou Xie et al.   EARTHQUAKE SPECTRA

A robust method for safety evaluation of steel trusses using Gradient Tree Boosting algorithm

(2020) Viet-Hung Truong et al.   ADVANCES IN ENGINEERING SOFTWARE

Xgboost application on bridge management systems for proactive damage estimation

(2019) Soram Lim et al.   ADVANCED ENGINEERING INFORMATICS

Emerging artificial intelligence methods in structural engineering

(2018) Hadi Salehi et al.   ENGINEERING STRUCTURES

Approaches to the rapid seismic damage prediction of r/c buildings using artificial neural networks

(2018) Konstantinos Morfidis et al.   ENGINEERING STRUCTURES

Shear resistance prediction of concrete beams reinforced by FRP bars using artificial neural networks

(2018) H. Naderpour et al.   MEASUREMENT

Prediction of compressive and flexural strengths of a modified zeolite additive mortar using artificial neural network

(2018) E.K. Onyari et al.   CONSTRUCTION AND BUILDING MATERIALS

Modeling seismic response of a full-scale cold-formed steel-framed building

(2017) Jiazhen Leng et al.   ENGINEERING STRUCTURES

Effect of Modeling Assumptions on the Earthquake-Induced Losses and Collapse Risk of Steel-Frame Buildings with Special Concentrically Braced Frames

(2017) Seong-Hoon Hwang et al.   JOURNAL OF STRUCTURAL ENGINEERING

Effect of Modeling Assumptions on the Earthquake-Induced Losses and Collapse Risk of Steel-Frame Buildings with Special Concentrically Braced Frames

(2017) Seong-Hoon Hwang et al.   JOURNAL OF STRUCTURAL ENGINEERING

A feasibility study of BBP for predicting shear capacity of FRP reinforced concrete beams without stirrups

(2016) Emadaldin Mohammadi Golafshani et al.   ADVANCES IN ENGINEERING SOFTWARE

Correlation between ground motion intensity measures and seismic damage of 3D R/C buildings

(2015) Konstantinos Kostinakis et al.   ENGINEERING STRUCTURES

Dynamic analysis of soil-structure interaction using the neural networks and the support vector machines

(2015) Hojjat Abbasi Farfani et al.   EXPERT SYSTEMS WITH APPLICATIONS

Post-earthquake fire performance of moment resisting frames with reduced beam section connections

(2014) Mehrdad Memari et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Review on Methods to Fix Number of Hidden Neurons in Neural Networks

(2013) K. Gnana Sheela et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Real-time Seismic Damage Detection of Concrete Shear Walls Using Artificial Neural Networks

(2012) Mohammadreza Vafaei et al.   JOURNAL OF EARTHQUAKE ENGINEERING

Neural network based prediction schemes of the non-linear seismic response of 3D buildings

(2011) Nikos D. Lagaros et al.   ADVANCES IN ENGINEERING SOFTWARE

An evaluation of effective design parameters on earthquake performance of RC buildings using neural networks

(2010) M. Hakan Arslan   ENGINEERING STRUCTURES

Seismic fragilities for non-ductile reinforced concrete frames – Role of aleatoric and epistemic uncertainties

(2009) Ozan Cem Celik et al.   STRUCTURAL SAFETY

Prediction of seismic-induced structural damage using artificial neural networks

(2008) Oliver Richard de Lautour et al.   ENGINEERING STRUCTURES