Vision-Based Digital Shadowing to Reveal Hidden Structural Dynamics of a Real Supertall Building  

作　　者：Donglian Gu Qingrui Yue Li Li Chujin Sun Xinzheng Lu 

机构地区：[1]Research Institute of Urbanization and Urban Safety,University of Science and Technology Beijing,Beijing 100083,China [2]Shenzhen Key Laboratory of Urban Disasters Digital Twin,Shenzhen 518023,China [3]Key Laboratory of Civil Engineering Safety and Durability of Ministry of Education of the People’s Republic of China,Department of Civil Engineering,Tsinghua University,Beijing 100084,China [4]China State Construction Engineering Corporation Ltd.,Beijing 100029,China

出　　处：《Engineering》2024年第12期146-158,共13页工程(英文)

基　　金：supported by the National Natural Science Foundation of China(52238011,52208456,and 52279145);the China National Postdoctoral Program for Innovative Talents(BX20220031);the Shenzhen Science and Technology Program(ZDSYS20210929115800001);the Shenzhen Major Science and Technology Program(KJZD20230923114310021)。

摘　　要：Vision-based digital shadowing is a highly efficient way to monitor the health of buildings in use.However,previous studies on digital shadowing have been limited to laboratory experiments.This paper proposes a novel computer-vision-based digital shadow workflow and presents its successful application in a real engineering case.In this case,a 345.8-m supertall building experienced unexpected shaking under normal meteorological conditions.This study established a digital shadow of the building using three-dimensional displacement measurements based on super-resolution monocular vision,revealing the hidden structural dynamics and inherent mechanical reasons for the abnormal shaking.The proposed digital shadowing workflow is a feasible roadmap for developing vision-based digital shadows of realworld structures using low-cost cameras.The abnormal vibration event in the supertall building considered in this study is the first of its type worldwide.The results of this study offer practical strategies and invaluable insights into the prevention and mitigation of this type of global risk,thereby contributing to the lifespan extension of buildings in use worldwide.Furthermore,with the increasing number of general sensing devices,such as surveillance cameras in cities,the proposed method may unleash the immense potential of general sensing devices in achieving the leap from structural health monitoring to city health monitoring.

关 键 词：Digital shadow Digital twin Super-resolution Monocular vision Displacement measurement Finite element simulation Deep learning Structural health monitoring 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]