东南大学学报（自然科学版）2025，Vol.55Issue(1)：41-50,10.DOI:10.3969/j.issn.1001-0505.2025.01.005
基于视觉与振动数据融合的结构层间位移响应识别
Interstory drift response identification of structures based on vision and vibration data fusion
摘要
Abstract
With a contact-based displacement recognition technology based on computer vision,structural vi-bration videos can be analyzed to capture interstory displacement responses in structures,addressing the chal-lenges of observing interstory displacements under extreme loading conditions.By integrating the mechanisms of structural interstory drift with multi-feature detection algorithms,a method for recognizing bending-shear coupled deformations is proposed.The theoretical validation demonstrates the method's applicability under various deformation scenarios.This technique employs data from inclinometers and visual recognition results to compute interstory drifts,harmful drifts and harmless drifts,thus providing proportions of different drifts within the total drift.Validation through scaled model shaking table experiments confirms the accuracy and ef-fectiveness of this method.The findings indicate that this approach can be utilized for critical deformation monitoring in buildings during seismic events,enabling an accurate assessment of the actual stress states of dif-ferent stories based on the proportions of their deformation components.This approach significantly enhances the precision of interlayer displacement recognition by multi-data calculation,providing essential evidence for evaluating the stress states within building layers.关键词
结构健康监测/变形识别/层间位移/计算机视觉Key words
structural health monitoring/deformation identification/interstory drift/computer vision分类
建筑与水利引用本文复制引用
单伽锃,张宏泽,白子轩,周德源..基于视觉与振动数据融合的结构层间位移响应识别[J].东南大学学报（自然科学版）,2025,55(1):41-50,10.基金项目
国家自然科学基金资助项目(52278312) （52278312）
中央高校基本科研业务费专项资金资助项目. （）
