Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression-Reference-Cited by-同舟云学术

Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression

Published:2016-01 Issue:1 Volume:30 Page:04015002
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Chou Jui-Sheng¹,Ngo Ngoc-Tri²,Pham Anh-Duc³

Affiliation:

1. Professor, Dept. of Civil and Construction Engineering, National Taiwan Univ. of Science and Technology, 43, Section 4, Keelung Rd., Taipei 10607, Taiwan (corresponding author).

2. Ph.D. Student, Dept. of Civil and Construction Engineering, National Taiwan Univ. of Science and Technology, 43, Section 4, Keelung Rd., Taipei 10607, Taiwan.

3. Postdoctoral Researcher, Dept. of Civil and Construction Engineering, National Taiwan Univ. of Science and Technology, 43, Section 4, Keelung Rd., Taipei 10607, Taiwan; and Dean, Faculty of Project Management, Univ. of Danang—Univ. of Science and Technology, 54, Nguyen Luong Bang Rd., Danang 59000, Vietnam.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000466

Reference40 articles.

1. ACI (American Concrete Institute). (2011). “Building code requirement for structural concrete and commentary.” ACI-318 Detroit.

2. Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network

3. Strength of struts in deep concrete members designed using strut-and-tie method;Carlos G. Q. F.;ACI Struct. J.,2007

4. Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams

5. Risk Score Inference for Bridge Maintenance Project Using Evolutionary Fuzzy Least Squares Support Vector Machine

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