Civil Engineering Structural Damage Identification by Integrating Benchmark Numerical Model and PCNN Network-Reference-Cited by-同舟云学术

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Civil Engineering Structural Damage Identification by Integrating Benchmark Numerical Model and PCNN Network

Published:2023 Issue: Volume:11 Page:130815-130827
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Qiu Yu¹,Zhang Zhifeng¹^ORCID

Affiliation:

1. Ural International Rail Transit College, Shandong Polytechnic, Jinan, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10322875.pdf?arnumber=10322875

Reference28 articles.

1. Direct damage index based on inverse finite element method for structural damage identification

2. Structural damage identification of steel-concrete composite bridge under temperature effects based on cuckoo search

3. Decomposing neural networks as mappings of correlation functions

4. An Efficient Asymmetric Nonlinear Activation Function for Deep Neural Networks

5. Structural damage identification for elements and connections using an improved genetic algorithm;ramezani;Smart Struct Syst,2021

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