ANN-Powered Models for Predicting Shrinkage and Creep Properties of High-Performance Concrete Using Supplementary Cementitious Materials-Reference-Cited by-同舟云学术

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ANN-Powered Models for Predicting Shrinkage and Creep Properties of High-Performance Concrete Using Supplementary Cementitious Materials

Published:2024-11 Issue:6 Volume:38 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Gedam Banti A.¹^ORCID

Affiliation:

1. Assistant Professor, Gr-I in Dept. of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat 395007, India. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JCCEE5.CPENG-6029

Reference61 articles.

1. Experiments on drying shrinkage and creep of high performance hybrid-fiber-reinforced concrete

2. Effect of binder fineness and composition on length change of high-performance concrete

3. Artificial neural network for predicting drying shrinkage of concrete

4. Artificial neural network for predicting creep of concrete

5. Excessive Long-Time Deflections of Prestressed Box Girders. I: Record-Span Bridge in Palau and Other Paradigms

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