Deformation Forecasting of Pulp-Masonry Arch Dams via a Hybrid Model Based on CEEMDAN Considering the Lag of Influencing Factors-Reference-Cited by-同舟云学术

Deformation Forecasting of Pulp-Masonry Arch Dams via a Hybrid Model Based on CEEMDAN Considering the Lag of Influencing Factors

Published:2022-07 Issue:7 Volume:148 Page:
ISSN:0733-9445
Container-title:Journal of Structural Engineering
language:en
Short-container-title:J. Struct. Eng.

Author:

Lin Chuan¹,Wang Xiangyu²,Su Yan³^ORCID,Zhang Ting⁴,Lin Chaoning⁵

Affiliation:

1. Assistant Researcher, College of Civil Engineering, Fuzhou Univ., Fuzhou 350108, China.

2. Master’s Student, College of Civil Engineering, Fuzhou Univ., Fuzhou 350108, China.

3. Associate Professor, College of Civil Engineering, Fuzhou Univ., Fuzhou 350108, China (corresponding author). ORCID: .

4. Professor, College of Civil Engineering, Fuzhou Univ., Fuzhou 350108, China.

5. College of Water Conservancy and Hydropower Engineering, Hohai Univ., Nanjing 210098, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ST.1943-541X.0003356

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4. Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization

5. Fault feature extraction and diagnosis of rolling bearings based on wavelet thresholding denoising with CEEMDAN energy entropy and PSO-LSSVM

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