Near-Real-Time Identification of Seismic Damage Using Unsupervised Deep Neural Network-Reference-Cited by-同舟云学术

Near-Real-Time Identification of Seismic Damage Using Unsupervised Deep Neural Network

Published:2022-03 Issue:3 Volume:148 Page:
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Kim Minkyu¹,Song Junho²^ORCID

Affiliation:

1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Seoul National Univ., Seoul 08826, South Korea.

2. Professor, Dept. of Civil and Environmental Engineering, Seoul National Univ., Seoul 08826, South Korea (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0002066

Reference40 articles.

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5. Damage identification in continuous beams and frame structures using the Residual Error Method in the Movement Equation

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