Joint damage detection of structures with noisy data by an effective deep learning framework using autoencoder-convolutional gated recurrent unit

Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning

(2021) Xiaoying Zhuang et al.   EUROPEAN JOURNAL OF MECHANICS A-SOLIDS

One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes

(2020) Shumei Chen et al.   JOURNAL OF PROCESS CONTROL

An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications

(2020) E. Samaniego et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

(2020) Onur Avci et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

One-dimensional convolutional neural network for damage detection of jacket-type offshore platforms

(2020) Xingxian Bao et al.   OCEAN ENGINEERING

Structural damage identification based on autoencoder neural networks and deep learning

(2018) Chathurdara Sri Nadith Pathirage et al.   ENGINEERING STRUCTURES

Experimental validation of a deep neural network-Sparse representation classification ensemble method

(2018) Milad Fallahian et al.   STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS

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

Structural damage detection using finite element model updating with evolutionary algorithms: a survey

(2017) Nizar Faisal Alkayem et al.   NEURAL COMPUTING & APPLICATIONS

A two-step approach for damage detection in laminated composite structures using modal strain energy method and an improved differential evolution algorithm

(2016) T. Vo-Duy et al.   COMPOSITE STRUCTURES

Modelling beam-column joints and FRP strengthening in the seismic performance assessment of RC existing frames

(2016) Ciro Del Vecchio et al.   COMPOSITE STRUCTURES

Detection of material interfaces using a regularized level set method in piezoelectric structures

(2015) S.S. Nanthakumar et al.   INVERSE PROBLEMS IN SCIENCE AND ENGINEERING

Damage Identification of Frame Structures with Joint Damage under Earthquake Excitation

(2014) Ying Lei et al.   ADVANCES IN STRUCTURAL ENGINEERING

Joint damage identification using Improved Radial Basis Function (IRBF) networks in frequency and time domain

(2013) Rajendra Machavaram et al.   APPLIED SOFT COMPUTING

System identification of steel framed structures with semi-rigid connections

(2013) Hasan N. Katkhuda et al.   STRUCTURAL ENGINEERING AND MECHANICS

Substructure Vibration NARX Neural Network Approach for Statistical Damage Inference

(2011) Linjun Yan et al.   JOURNAL OF ENGINEERING MECHANICS

Experimental Study of Damage Detection by Data-Driven Subspace Identification and Finite-Element Model Updating

(2009) Jian-Huang Weng et al.   JOURNAL OF STRUCTURAL ENGINEERING

Damage detection of truss bridge joints using Artificial Neural Networks

(2007) M. Mehrjoo et al.   EXPERT SYSTEMS WITH APPLICATIONS