DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction

Modal Identification of Bridges Using Mobile Sensors with Sparse Vibration Data

(2020) Soheil Sadeghi Eshkevari et al.   JOURNAL OF ENGINEERING MECHANICS

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

(2020) Ruiyang Zhang et al.   ENGINEERING STRUCTURES

Convolutional Neural Network Approach for Robust Structural Damage Detection and Localization

(2019) Nur Sila Gulgec et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Nonlinear seismic response reconstruction and performance assessment of instrumented wood-frame buildings-Validation using NEESWood Capstone full-scale tests

(2019) Milad Roohi et al.   Structural Control & Health Monitoring

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

(2019) Ruiyang Zhang et al.   COMPUTERS & STRUCTURES

Assessment of wind-induced vibration mitigation in a tall building with damped outriggers using real-time hybrid simulations

(2019) Safwan Al-Subaihawi et al.   ENGINEERING STRUCTURES

Hidden physics models: Machine learning of nonlinear partial differential equations

(2018) Maziar Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

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

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

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

(2017) Osama Abdeljaber et al.   JOURNAL OF SOUND AND VIBRATION

Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

(2017) Guoqing Gui et al.   KSCE Journal of Civil Engineering

A Data-Driven Response Virtual Sensor Technique with Partial Vibration Measurements Using Convolutional Neural Network

(2017) Shan-Bin Sun et al.   SENSORS

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

(2016) Steven L. Brunton et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Deep Convolutional Neural Networks for Large-scale Speech Tasks

(2015) Tara N. Sainath et al.   NEURAL NETWORKS

Multi-stage structural damage diagnosis method based on "energy-damage" theory

(2013) Ting-Hua Yi et al.   Smart Structures and Systems

Seismic risk analysis with reliability methods, part I: Models

(2013) M. Mahsuli et al.   STRUCTURAL SAFETY

Toward Data-Driven Structural Health Monitoring: Application of Machine Learning and Signal Processing to Damage Detection

(2012) Yujie Ying et al.   JOURNAL OF COMPUTING IN CIVIL 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

Large-Scale Experimental Verification of Semiactive Control through Real-Time Hybrid Simulation

(2008) Richard Christenson et al.   JOURNAL OF STRUCTURAL ENGINEERING