Vision-based survey method for extraordinary loads on buildings  

作　　者：Yang LI Jun CHEN Pengcheng WANG 

机构地区：[1]College of Civil Engineering,Tongji University,Shanghai 200092,China [2]China United Engineering Co.Ltd.,Hangzhou 310052,China [3]State Key Laboratory of Disaster Reduction in Civil Engineering,Tongji University,Shanghai 200092,China [4]Shanghai Key Laboratory of Engineering Structure Safety,Shanghai Research Institute of Building Sciences Co.Ltd.,Shanghai 200032,China

出　　处：《Frontiers of Structural and Civil Engineering》2024年第6期815-831,共17页结构与土木工程前沿（英文版）

基　　金：The authors acknowledge the financial support provided by the National Natural Science Foundation of China(Grant No.52178151).

摘　　要：The statistical modeling of extraordinary loads on buildings has been stagnant for decades due to the laborious and error-prone nature of existing survey methods,such as questionnaires and verbal inquiries.This study proposes a new vision-based survey method for collecting extraordinary load data by automatically analyzing surveillance videos.For this purpose,a crowd head tracking framework is developed that integrates crowd head detection and reidentification models based on convolutional neural networks to obtain head trajectories of the crowd in the survey area.The crowd head trajectories are then analyzed to extract crowd quantity and velocities,which are the essential factors for extraordinary loads.For survey areas with frequent crowd movements during temporary events,the equivalent dynamic load factor can be further estimated using crowd velocity to consider dynamic effects.A crowd quantity investigation experiment and a crowd walking experiment are conducted to validate the proposed survey method.The experimental results prove that the proposed survey method is effective and accurate in collecting load data and reasonable in considering dynamic effects during extraordinary events.The proposed survey method is easy to deploy and has the potential to collect substantial and reliable extraordinary load data for determining design load on buildings.

关 键 词：load survey extraordinary load live load object detection multiple-object tracking 

分 类 号：TU93[建筑科学—结构工程]