Predicting mechanical properties of engineering cementitious composite reinforced with PVA using artificial neural network

Predicting mechanical properties of engineering cementitious composite reinforced with PVA using artificial neural network

This paper developed an artificial neural network (ANN) models to predict engineered cementitious composites (ECC) mechanical properties such as compressive strength, flexural strength, and direct tensile stress-strain curve. ANN models were created, trained, validated, and tested based on a large d...

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Bibliographic Details
Main Authors: Alaa M. Morsy, Abd Elmoaty M. Abd Elmoaty, Abdelrhman B. Harraz
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Case Studies in Construction Materials
Subjects:
Artificial neural network
Engineered cementitious composite
Compressive strength
Flexural strength
Tensile strength
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509522001309

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http://www.sciencedirect.com/science/article/pii/S2214509522001309

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