RE:Thinking Timber Architecture. Enhancing Design and Construction Circularity Through Material Digital Twin
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36554-6_26
Reference19 articles.
1. Àkànbí LA, Oyedele AO, Oyedele LO, Salami RO (2020) Deep learning model for Demolition Waste Prediction in a circular economy. J Clean Prod 274:122843. https://doi.org/10.1016/j.jclepro.2020.122843
2. Atta I, Bakhoum ES, Marzouk MM (2021) Digitizing material passport for sustainable construction projects using BIM. J Build Eng 43:103233. https://doi.org/10.1016/j.jobe.2021.103233
3. Copeland S, Bilec MM (2020) Buildings as material banks using RFID and building information modeling in a circular economy. Procedia CIRP 90(143):147. https://doi.org/10.1016/j.procir.2020.02.122
4. Heisel F, Rau-Oberhuber S (2020) Calculation and evaluation of circularity indicators for the built environment using the case studies of UMAR and Madaster. J Clean Prod 243:118482.https://doi.org/10.1016/j.jclepro.2019.118482
5. Heinrich M, Lang W (2019) Materials passports-best practice-innovative solutions for a transition to a circular economy in the built environment. Technische Universität München, Munich
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