Machine learning modeling integrating experimental analysis for predicting the properties of sugarcane bagasse ash concrete-Reference-Cited by-同舟云学术

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Machine learning modeling integrating experimental analysis for predicting the properties of sugarcane bagasse ash concrete

Published:2022-01 Issue: Volume:314 Page:125634
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Shah Muhammad Izhar,Javed Muhammad Faisal,Aslam Fahid,Alabduljabbar Hisham

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference90 articles.

1. Cleaner production of one-part white geopolymer cement using pre-treated wood biomass ash and diatomite;Hassan;J. Cleaner Prod.,2019

2. Life-cycle assessment and the environmental impact of buildings: a review;Khasreen;Sustainability,2009

3. Carbon-conditioned recycled aggregate in concrete production;Tam;J. Cleaner Prod.,2016

4. The effect of using natural zeolite on the properties and hydration characteristics of blended cements;Kocak;Construction and Building Materials,2013

5. A new anchorage system for CFRP strips in externally strengthened RC continuous beams;Akbarzadeh Bengar;Journal of Building Engineering,2020

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