Compressive strength modeling of blended concrete based on empirical and artificial neural network techniques
Author:
Affiliation:
1. Department of Civil Engineering, NIT Jamshedpur, Jamshedpur, India
2. Department of Civil Engineering, SHIATS (Formerly AAI-DU), Allahabad, India
3. Exploration and Petroleum Engineering Center, Saudi Aramco, Dhahran, Saudi Arabia
Funder
did not receive any specific grant from funding agencies
Publisher
Informa UK Limited
Subject
Mechanical Engineering,General Materials Science,Building and Construction,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/24705314.2020.1783120
Reference35 articles.
1. Effect of recycling hospital ash on the compressive properties of concrete: statistical assessment and predicting model
2. Predicting the compressive strength of steel fiber added lightweight concrete using neural network
3. Flexural strength of corroded reinforced concrete beams
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