Deep learning for nonlinear seismic responses prediction of subway station

Investigation of multivariate seismic surrogate demand modeling for multi-response structural systems

(2020) Ao Du et al.   ENGINEERING STRUCTURES

Dropout vs. batch normalization: an empirical study of their impact to deep learning

(2020) Christian Garbin et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Seismic response prediction method for building structures using convolutional neural network

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

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

(2020) Ruiyang Zhang et al.   ENGINEERING STRUCTURES

Development of Seismic Response Simulation Model for Building Structures with Semi-Active Control Devices Using Recurrent Neural Network

(2020) Hyun-Su Kim   Applied Sciences-Basel

Rapid Structural Safety Assessment Using a Deep Neural Network

(2020) Zhouyang Shen et al.   JOURNAL OF EARTHQUAKE ENGINEERING

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

(2019) Ruiyang Zhang et al.   COMPUTERS & STRUCTURES

Shaking table test on seismic response characteristics of prefabricated subway station structure

(2019) Lianjin Tao et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Effects of pulse-like earthquake motions on a typical subway station structure obtained in shaking-table tests

(2019) Z.Y. Chen et al.   ENGINEERING STRUCTURES

Machine Learning–Based Failure Mode Recognition of Circular Reinforced Concrete Bridge Columns: Comparative Study

(2019) Sujith Mangalathu et al.   JOURNAL OF STRUCTURAL ENGINEERING

Stochastic seismic lateral deformation of a multi-story subway station structure based on the probability density evolution method

(2019) Zhi-Yi Chen et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Probability density evolution method for seismic displacement-based assessment of earth retaining structures

(2018) Yu Huang et al.   ENGINEERING GEOLOGY

Artificial neural network based multi-dimensional fragility development of skewed concrete bridge classes

(2018) Sujith Mangalathu 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

Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection

(2017) Deegan J Atha et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Bootstrapped Artificial Neural Networks for the seismic analysis of structural systems

(2017) E. Ferrario et al.   STRUCTURAL SAFETY

Seismic Vulnerability Assessment of a Shallow Two-Story Underground RC Box Structure

(2017) Jungwon Huh et al.   Applied Sciences-Basel

Fragility analysis of a subway station structure by incremental dynamic analysis

(2016) Tong Liu et al.   ADVANCES IN STRUCTURAL ENGINEERING

Study of a stall induced dynamical system under gust using the probability density evolution technique

(2016) Harshini Devathi et al.   COMPUTERS & STRUCTURES

Shaking table test of a multi-story subway station under pulse-like ground motions

(2016) Zhiyi Chen et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Seismic fragility analysis of a typical Indian PHWR containment: Comparison of fragility models

(2016) Tushar K. Mandal et al.   STRUCTURAL SAFETY

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Nonlinear Response of Structures Subjected to Stochastic Excitations via Probability Density Evolution Method

(2014) Yongbo Peng et al.   ADVANCES IN STRUCTURAL ENGINEERING

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

(2010) M. Hakan Arslan   ENGINEERING STRUCTURES

The principle of preservation of probability and the generalized density evolution equation

(2006) Jie Li et al.   STRUCTURAL SAFETY