A machine learning-based hybrid seismic analysis of a lead rubber bearing isolated building specimen

Detection of damages caused by earthquake and reinforcement corrosion in RC buildings with Deep Transfer Learning

(2023) Gamze Dogan et al.   ENGINEERING STRUCTURES

Deep learning model for prediction of non-linear cyclic hysteresis of seismic isolation devices: Full-scale experimental validation

(2023) Nabil Mekaoui et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

A Deep Learning-Based Integration Method for Hybrid Seismic Analysis of Building Structures: Numerical Validation

(2022) Nabil Mekaoui et al.   Applied Sciences-Basel

Machine learning for structural engineering: A state-of-the-art review

(2022) Huu-Tai Thai   Structures

Prediction of cement-based mortars compressive strength using machine learning techniques

(2021) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Artificial neural network-based hysteresis model for circular steel tubes

(2021) Chuanchang Yang et al.   Structures

Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

(2021) Panagiotis G. Asteris et al.   CEMENT AND CONCRETE RESEARCH

Optimal architecture of a convolutional neural network to estimate structural responses for safety evaluation of the structures

(2021) Byung Kwan Oh et al.   MEASUREMENT

Rapid seismic damage-state assessment of steel moment frames using machine learning

(2021) Hoang D. Nguyen et al.   ENGINEERING STRUCTURES

Machine learning and nonlinear models for the estimation of fundamental period of vibration of masonry infilled RC frame structures

(2020) Aristotelis E. Charalampakis et al.   ENGINEERING 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

Deep long short-term memory networks for nonlinear structural seismic response prediction

(2019) Ruiyang Zhang et al.   COMPUTERS & STRUCTURES

A practical approach to predict the hysteresis loop of reinforced concrete columns failing in different modes

(2019) Chao-Lie Ning et al.   CONSTRUCTION AND BUILDING MATERIALS

Krill herd algorithm-based neural network in structural seismic reliability evaluation

(2018) Panagiotis G. Asteris et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks

(2016) Panagiotis G. Asteris et al.   Computational Intelligence and Neuroscience

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

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