A multi-scale attention neural network for sensor location selection and nonlinear structural seismic response prediction

Multivariate time series forecasting via attention-based encoder–decoder framework

(2020) Shengdong Du et al.   NEUROCOMPUTING

Seismic response prediction method for building structures using convolutional neural network

(2020) Byung Kwan Oh et al.   Structural Control & Health Monitoring

Optimal multi‐type sensor placement for monitoring high‐rise buildings under bidirectional long‐period ground motions

(2020) Rong‐Pan Hu et al.   Structural Control & Health Monitoring

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

Physics-guided convolutional neural network (PhyCNN) for data-driven seismic response modeling

(2020) Ruiyang Zhang et al.   ENGINEERING STRUCTURES

Bayesian dynamic forecasting of structural strain response using structural health monitoring data

(2020) Y.W. Wang et al.   Structural Control & Health Monitoring

Model updating and seismic response of a super tall building in Shanghai

(2020) Yuxin Pan et al.   COMPUTERS & STRUCTURES

Application of pool-based active learning in reducing the number of required response history analyses

(2020) Jalal Kiani et al.   COMPUTERS & STRUCTURES

A systematic review of convolutional neural network-based structural condition assessment techniques

(2020) Sandeep Sony et al.   ENGINEERING STRUCTURES

A Tutorial on Bayesian Inference to Identify Material Parameters in Solid Mechanics

(2019) H. Rappel et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Estimating fibres’ material parameter distributions from limited data with the help of Bayesian inference

(2019) H. Rappel et al.   EUROPEAN JOURNAL OF MECHANICS A-SOLIDS

Optimization of sensor placement for structural health monitoring: a review

(2019) Wieslaw Ostachowicz et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Seismic performances of precast segmental column under bidirectional earthquake motions: Shake table test and numerical evaluation

(2019) Chao Li et al.   ENGINEERING STRUCTURES

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

(2019) Ruiyang Zhang et al.   COMPUTERS & STRUCTURES

Neural network-based seismic response prediction model for building structures using artificial earthquakes

(2019) Byung Kwan Oh et al.   JOURNAL OF SOUND AND VIBRATION

A data‐driven framework for near real‐time and robust damage diagnosis of building structures

(2019) Seyed Omid Sajedi et al.   Structural Control & Health Monitoring

DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction

(2019) Yeqi Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Least-Square-Support-Vector-Machine-based approach to obtain displacement from measured acceleration

(2018) Jale Tezcan et al.   ADVANCES IN ENGINEERING SOFTWARE

Build-X: Expert system for seismic analysis and assessment of 3D buildings using OpenSees

(2018) Nikolaos K. Psyrras et al.   ADVANCES IN ENGINEERING SOFTWARE

Data-Driven Two-Level Performance Evaluation of Eddy-Current Tuned Mass Damper for Building Structures Using Shaking Table and Field Testing

(2018) Xilin Lu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Methodology for real-time prediction of structural seismic risk based on sensor measurements

(2018) Ajay Saini et al.   STRUCTURAL SAFETY

Identifying elastoplastic parameters with Bayes’ theorem considering double error sources and model uncertainty

(2018) H. Rappel et al.   PROBABILISTIC ENGINEERING MECHANICS

Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings

(2018) Carlos A. Perez-Ramirez et al.   ENGINEERING STRUCTURES

Deep Convolutional Neural Network for Structural Dynamic Response Estimation and System Identification

(2018) Rih-Teng Wu et al.   JOURNAL OF ENGINEERING MECHANICS

Response prediction of nonlinear hysteretic systems by deep neural networks

(2018) Taeyong Kim et al.   NEURAL NETWORKS

Multi-step prediction of strong earthquake ground motions and seismic responses of SDOF systems based on EMD-ELM method

(2016) Dixiong Yang et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Dynamic time warping under pointwise shape context

(2015) Zheng Zhang et al.   INFORMATION SCIENCES

On the observability and identifiability of nonlinear structural and mechanical systems

(2014) Manolis N. Chatzis et al.   Structural Control & Health Monitoring

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

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

The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non-collocated heterogeneous sensing

(2008) Eleni N. Chatzi et al.   Structural Control & Health Monitoring