Structural health monitoring and damage alarming for existing masonry buildings

doi:10.16265/j.cnki.issn1003-3033.2024.08.1561

Abstract

Abstract:

In order to guarantee the structural safety of masonry structures in existing buildings and prolong their lifespan, a SHM system and the mean value control charts were employed to investigate the condition evaluation and early alarming mechanism of these structures. The monitoring items for this structure were chosen to be the load-bearing wall cracks and the relative displacement of window sills. The data about structural reaction and ambient temperature was collected, and a correlation model between these two factors was built. Additionally, the correlation model was employed to replicate the temperature impact of the data collected from monitoring the structural response. Ultimately, the structural condition index was suggested and integrated with the mean value control chart to assess the early detection of potential issues in the structure. The structural condition index represented the disparity between the simulated outcomes of the correlation model and the real measured values. The findings demonstrate that the system has the capability to gather real-time monitoring data, accurately assess structural health, and promptly alert about structural damage. The monitoring data indicate that the crack width varies between 0.746 and 4.391 mm, while the sill relative displacement spans from 1.282 to 5.690 mm. Both of these variations are within the acceptable safety limit. From the findings of the mean value control chart in the early alarming system, the fracture width and relative displacement of the window sill are within normal parameters.

Key words: existing buildings, masonry structures, structural health monitoring(SHM), damage alarming, correlation analysis, mean control chart

CLC Number:

X924.3安全监控系统

ZHENG Liang, TAN Lei, YANG Xiaohui, LI Yuhang, DENG Yang. Structural health monitoring and damage alarming for existing masonry buildings[J]. China Safety Science Journal, 2024, 34(8): 170-177.

Figures/Tables 12

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