The Compressive Strength Prediction for FRP‐Confined Concrete in Circular Columns by Applying the Normalized AlexNet‐ELM and the Advanced Red Fox Optimization Algorithm-Reference-Cited by-同舟云学术

The Compressive Strength Prediction for FRP‐Confined Concrete in Circular Columns by Applying the Normalized AlexNet‐ELM and the Advanced Red Fox Optimization Algorithm

Published:2022-02-17 Issue:4 Volume:5 Page:2100410
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Advcd Theory and Sims

Author:

Cui Wenming¹,Zhao Li‐Cai²³,Xu Yi‐Peng⁴,Mamlooki Mina⁵^ORCID

Affiliation:

1. School of Computer Science and Technology Shandong University of Finance and Economics Shandong 250014 China

2. Department of Civil and Construction Engineering National Taiwan University of Science and Technology No.43, Keelung Road, Sec.4 Taipei 106 Taiwan

3. China Railway 19th Bureau Group Third Engineering Co. Ltd Shenyang 110136 China

4. School of Mathematical Sciences Tiangong University Tianjin 300387 China

5. University of Mohaghegh Ardabili Ardabil Iran

Publisher

Wiley

Subject

Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.202100410

Reference53 articles.

1. Model of Concrete Confined by Fiber Composites

2. Composites for Construction

3. FRP-confined Concrete Cylinders: Axial Compression Experiments and Strength Model

4. An Artificial Neural Networks model for the prediction of the compressive strength of FRP-confined concrete circular columns

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