|Table of Contents|

Guidance Method for Earthquake-damaged Building Reinforcement Integrating Digital Twin and Mixed Reality(PDF)

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

Issue:
2022年04期
Page:
146-156
Research Field:
Publishing date:

Info

Title:
Guidance Method for Earthquake-damaged Building Reinforcement Integrating Digital Twin and Mixed Reality
Author(s):
LIU Zhan-sheng12 BAI Wen-yan12 DU Xiu-li12
(1. Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China; 2. Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing 100124, China)
Keywords:
digital twin mixed reality earthquake-damaged building reinforcement
PACS:
TU745
DOI:
10.19815/j.jace.2022.04015
Abstract:
The reinforcement and repair process of earthquake-damaged building is a key factor in improving its seismic capability. A thorough understanding of reinforcement methods and processes will aid in repairing earthquake-damaged buildings and improving seismic capability. Based on the development concept of digital twin and mixed reality, an intelligent guidance method suitable for earthquake-damaged building reinforcement was proposed, and a guidance reinforcement system based on digital twin and mixed reality was established. Firstly, a digital twin model was built, including four operating spaces, operations in each space and twin data. Twin databases were built to manage large amounts of data. In order to realize bidirectional mapping between physical space and virtual space, a human-computer interaction mechanism suitable for mixed reality was developed with the help of HoloLens. Finally, to evaluate the practicability and effectiveness of the proposed method, an experimental scenario was prepared for usability testing. Twenty participants were recruited using purposive sampling, and they performed the same reinforcement task under the guidance of the 2D paper version or the DTMR-DRS module. Their time to complete the task, error rate were recorded and they were asked to fill out a questionnaire.The results show that compared with traditional paper documents, the developed system DTMR-DRS transmits information more quickly. The display of text-voice-video-model also makes the construction guidance more stereoscopic and comprehensive. It has significant advantages in helping reinforcement constructors to improve work efficiency and reduce rework rates, making contribution to the research of related knowledge systems.

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Last Update: 2022-07-10