Predicting the technical reusability of load-bearing building components: a probabilistic approach towards developing a Circular Economy framework

The construction sector is the largest consumer of raw materials and accounts for 25%–40% of the total CO2 emissions globally. Besides, construction activities produce the highest amount of waste among all other sectors. According to the waste hierarchies, reuse is preferred to recycling; however, m...

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Bibliographic Details

Main Authors:	Kami Rakhshanbabanari, Jean-Claude Morel, Alireza Daneshkhah
Format:	Default Article
Published:	2021
Subjects:	Architecture Building Civil engineering Reuse Building structure Supervised machine learning Random forest K-nearest neighbours Gaussian process
Online Access:	https://hdl.handle.net/2134/25215644.v1
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