Predicting Stress and Strain of FRP-Confined Square/Rectangular Columns Using Artificial Neural Networks-Reference-Cited by-同舟云学术

Predicting Stress and Strain of FRP-Confined Square/Rectangular Columns Using Artificial Neural Networks

Published:2014-12 Issue:6 Volume:18 Page:04014019
ISSN:1090-0268
Container-title:Journal of Composites for Construction
language:en
Short-container-title:J. Compos. Constr.

Author:

Pham Thong M.¹,Hadi Muhammad N. S.²

Affiliation:

1. Ph.D. Candidate, School of Civil, Mining and Environmental Engineering, Univ. of Wollongong, Wollongong, NSW 2522, Australia; formerly, Lecturer, Faculty of Civil Engineering, Ho Chi Minh Univ. of Technology, Ho Chi Minh City, Vietnam.

2. Associate Professor, School of Civil, Mining and Environmental Engineering, Univ. of Wollongong, NSW 2522, Australia (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,Building and Construction,Civil and Structural Engineering,Ceramics and Composites

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CC.1943-5614.0000477

Reference43 articles.

1. ACI 440.2R-08. (2008). “Guide for the design and construction of externally bonded FRP systems for strengthening concrete structures.” 440.2R-08 Farmington Hills MI.

2. Counterpropagation Neural Networks in Structural Engineering

3. Comparison of confinement models for fiber-reinforced polymer-wrapped concrete;Bisby L. A.;ACI Struct. J.,2005

4. Neural Network for Structure Control

5. Neural Networks Trained by Analytically Simulated Damage States

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