Evaluating embodied energy, carbon impact, and predictive precision through machine learning for pavers manufactured with treated recycled construction and demolition waste aggregate-Reference-Cited by-同舟云学术

Evaluating embodied energy, carbon impact, and predictive precision through machine learning for pavers manufactured with treated recycled construction and demolition waste aggregate

Published:2024-05 Issue: Volume:248 Page:118296
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Neelamegam Prakhash^ORCID,Muthusubramanian Bhuvaneshwari

Publisher

Elsevier BV

Reference40 articles.

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1. Development of a learner model tool for predicting strength and embodied carbon for lightweight concrete production;Journal of Building Engineering;2024-10

2. Utilizing response surface methodology (RSM) to predict the mechanical characteristics of concrete incorporating treated recycled construction and demolition waste aggregate (CDW) and discarded reverse osmosis (RO) membrane;Journal of Building Pathology and Rehabilitation;2024-04-12