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contributor authorChih-Lin Hsu
contributor authorJui-Tang Wang
contributor authorHsin-Yi Hou
date accessioned2023-11-27T23:15:32Z
date available2023-11-27T23:15:32Z
date issued8/24/2023 12:00:00 AM
date issued2023-08-24
identifier otherJCEMD4.COENG-13060.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4293421
description abstractA building lifecycle consists of multiple domains, and building information modeling (BIM) applications involve cross-domain knowledge exchange. In the knowledge spiral theory proposed by Nonaka, externalization facilitates knowledge exchange in designing cooperation, and a model library (ML) contains the necessary information for the architecture, engineering, and construction (AEC) industry. However, current MLs are centralized systems that are vulnerable to data tampering and copyright disputes, and the provided models may not match the requirements of current building projects. Therefore, this article develops a blockchain-based parametric ML (BBPML) for BIM collaboration to realize knowledge sharing. The parametric model in our ML can be flexibly applied to a project by adjusting the parameters. A blockchain network provides reliable storage and ensures the upload sequence. The research creates a website based on the proposed system through Ethereum and applies it to a curtain wall project. This article applies the nonaka knowledge spiral theory to improve building information modeling (BIM) cooperation. A blockchain-based model library (ML) is proposed to facilitate knowledge sharing in BIM projects. The system records the building knowledge through a blockchain network to ensure the building knowledge is immutable and quickly traceable in the upload sequence. Our approach has been practiced in a physical curtain project and allows for better BIM collaboration.
publisherASCE
titleA Blockchain-Based Parametric Model Library for Knowledge Sharing in Building Information Modeling Collaboration
typeJournal Article
journal volume149
journal issue11
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/JCEMD4.COENG-13060
journal fristpage04023107-1
journal lastpage04023107-17
page17
treeJournal of Construction Engineering and Management:;2023:;Volume ( 149 ):;issue: 011
contenttypeFulltext


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