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D5数字循环工作流程:建筑材料再利用匹配的五个数字步骤。

D5 digital circular workflow: five digital steps towards matchmaking for material reuse in construction.

作者信息

De Wolf Catherine, Byers Brandon S, Raghu Deepika, Gordon Matthew, Schwarzkopf Vanessa, Triantafyllidis Eleftherios

机构信息

Circular Engineering for Architecture, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zurich, Switzerland.

出版信息

Npj Mater Sustain. 2024;2(1):36. doi: 10.1038/s44296-024-00034-8. Epub 2024 Nov 1.

DOI:10.1038/s44296-024-00034-8
PMID:39494422
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11530372/
Abstract

The intersection of digital transformation and circular construction practices presents significant potential to mitigate environmental impacts through optimised material reuse. We propose a five-step (D5) digital circular workflow that integrates these digital innovations towards reuse, validated through real-world case studies. We assessed a variety of digital tools for enhancing the reuse of construction materials, including digital product passports, material classification assisted by artificial intelligence (AI), reality capture, computational design, design inspired by generative AI, digital fabrication techniques, extended reality, and blockchain technology. Using action research through a multiple case study approach, we disassembled several buildings that were set for demolition and subsequently designed and executed construction projects using the salvaged materials. Our findings indicate that digital transformation for detection, disassembly, distribution, design, and finally deployment significantly support the application of circular economy principles. We demonstrate the potential of the proposed workflow for industry implementation and scalability.

摘要

数字转型与循环建筑实践的交叉融合,通过优化材料再利用,在减轻环境影响方面具有巨大潜力。我们提出了一个五步(D5)数字循环工作流程,该流程整合了这些数字创新以实现再利用,并通过实际案例研究进行了验证。我们评估了多种用于提高建筑材料再利用的数字工具,包括数字产品护照、人工智能(AI)辅助的材料分类、实景捕捉、计算设计、生成式AI启发的设计、数字制造技术、扩展现实和区块链技术。通过多案例研究方法进行行动研究,我们拆解了几座计划拆除的建筑,随后使用回收材料设计并实施了建筑项目。我们的研究结果表明,在检测、拆解、配送、设计以及最终部署方面的数字转型显著支持了循环经济原则的应用。我们展示了所提出的工作流程在行业实施和可扩展性方面的潜力。

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本文引用的文献

1
Creativity in the age of generative AI.生成式人工智能时代的创造力。
Nat Hum Behav. 2023 Nov;7(11):1836-1838. doi: 10.1038/s41562-023-01751-1.
2
If deep learning is the answer, what is the question?如果深度学习是答案,那么问题是什么?
Nat Rev Neurosci. 2021 Jan;22(1):55-67. doi: 10.1038/s41583-020-00395-8. Epub 2020 Nov 16.
3
Trends and challenges in robot manipulation.机器人操作的趋势和挑战。
Science. 2019 Jun 21;364(6446). doi: 10.1126/science.aat8414.
4
Robust Segmentation of Planar and Linear Features of Terrestrial Laser Scanner Point Clouds Acquired from Construction Sites.从建筑工地获取的地面激光扫描仪点云的平面和线性特征的稳健分割
Sensors (Basel). 2018 Mar 8;18(3):819. doi: 10.3390/s18030819.
5
Mining the physical infrastructure: Opportunities, barriers and interventions in promoting structural components reuse.挖掘物理基础设施:促进结构部件再利用的机会、障碍和干预措施。
Sci Total Environ. 2016 Jul 1;557-558:791-807. doi: 10.1016/j.scitotenv.2016.03.098. Epub 2016 Apr 17.
6
The circular economy.循环经济
Nature. 2016 Mar 24;531(7595):435-8. doi: 10.1038/531435a.
7
Deep learning.深度学习。
Nature. 2015 May 28;521(7553):436-44. doi: 10.1038/nature14539.
8
Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review.增强视觉、听觉、触觉和多模态反馈在运动学习中的应用:综述。
Psychon Bull Rev. 2013 Feb;20(1):21-53. doi: 10.3758/s13423-012-0333-8.
9
Principles of sensorimotor learning.感觉运动学习原理。
Nat Rev Neurosci. 2011 Oct 27;12(12):739-51. doi: 10.1038/nrn3112.