既有建筑砌体结构健康监测和损伤预警研究

doi:10.16265/j.cnki.issn1003-3033.2024.08.1561

中国安全科学学报 ›› 2024, Vol. 34 ›› Issue (8): 170-177.doi: 10.16265/j.cnki.issn1003-3033.2024.08.1561

既有建筑砌体结构健康监测和损伤预警研究

郑亮¹(), 谭磊², 杨晓辉², 李雨航³, 邓扬¹^,^**()

¹ 北京建筑大学土木与交通工程学院,北京 102627
² 北京市建设工程质量第三检测所有限责任公司,北京 100037
³ 北京电子科技职业学院机电工程学院北京 100176

收稿日期:2024-02-10 修回日期:2024-05-11 出版日期:2024-08-28
通信作者:
** 邓扬(1984—),男,湖南张家界人,博士,教授,主要从事工程结构健康监测与状态评估等方面的研究。E-mail: dengyang@bucea.edu.cn。
作者简介:
郑亮 (2000—),男,湖北黄冈人,硕士研究生,研究方向为结构健康监测数据清洗。E-mail: 201802020229@bucea.stu.edu.cn。
谭磊,高级工程师。
基金资助:
国家自然科学基金(52278290)

Structural health monitoring and damage alarming for existing masonry buildings

ZHENG Liang¹(), TAN Lei², YANG Xiaohui², LI Yuhang³, DENG Yang¹^,^**()

¹ School of Civil Engineering and Transportation, Beijing University of Civil Engineering and Architecture, Beijing 102627, China
² Beijing Construction Engineering Quality Third Inspection Institute Co.,Ltd., Beijing 100037, China
³ School of Mechanical and Electrical Engineering, Beijing Polytechnic, Beijing 100176, China

Received:2024-02-10 Revised:2024-05-11 Published:2024-08-28

摘要/Abstract

摘要：

为保障既有建筑砌体结构运营期间的结构安全并延长其使用寿命,利用结构健康监测(SHM)系统与均值控制图,研究砌体结构的状况评估和预警机制。以北京市东城区某砌体结构为例,首先,根据该结构病害和损伤状况设计并实施对应的SHM系统,选取该结构承重墙裂缝和窗台相对位移作为监测对象;其次,收集结构响应和环境温度的数据,并利用收集后的监测数据构建结构响应同环境温度的相关性模型;然后,利用相关性模型模拟出结构响应监测数据的温度效应;最后,提出结构状态指数,并结合均值控制图预警分析该结构。结果表明:该监测系统能够实时采集监测数据,掌握砌体结构的健康状况,并对其结构损伤做出预警;根据监测结果,裂缝宽度和窗台相对位移的变化范围分别为[0.746, 4.391]和[1.282, 5.690 ]mm,均处在安全范围之内。根据预警系统中均值控制图结果,该结构裂缝宽度和相对位移发展趋势均处于正常状态。

关键词: 既有建筑, 砌体结构, 结构健康监测(SHM), 损伤预警, 相关性模型, 均值控制图

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

中图分类号:

X924.3安全监控系统

郑亮, 谭磊, 杨晓辉, 李雨航, 邓扬. 既有建筑砌体结构健康监测和损伤预警研究[J]. 中国安全科学学报, 2024, 34(8): 170-177.

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.

图/表 12

图1

图2

图3

图4

图5

图6

图7

图8

图9

图10

图11

图12

参考文献 18

[1]	徐建, 梁建国, 石柳, 等. 我国砌体结构发展的若干问题探讨[J]. 建筑结构, 2016, 46(15): 91-97.
	XU Jian, LIANG Jianguo, SHI Liu, et al. Discussion on some problems of development of masonry structures in China[J]. Building Structure, 2016, 46(15): 91-97.
[2]	阮超, 张延军, 李胡爽, 等. 武汉大东湖城市污水深隧结构健康监测系统研究[J]. 中国给水排水, 2021, 37(20): 126-132.
	YUAN Chao, ZHANG Yanjun, LI Hushuang, et al. Research on structure health monitoring system of dadonghu urban sewage deep tunnel in Wuhan[J]. China Water and Wastewater, 2021, 37(20): 126-132.
[3]	轩慎青, 陈良超, 方舟, 等. 大跨度空间网格结构健康监测系统设计及应用[J]. 北京化工大学学报:自然科学版, 2022, 49(5): 108-116.
	XUAN Shenqing, CHEN Liangchao, FANG Zhou, et al. Design and application of a health monitoring system for largespan space grid structures[J]. Journal of Beijing University of Chemical Technology:Natural Science, 2022, 49(5): 108-116.
[4]	姜锐. 铁路客站结构健康监测应用现状及展望[J]. 中国安全科学学报, 2020, 30(增1): 71-76.
	JIANG Rui. Research status and prospect of health monitoring on railway station structures[J]. China Safety Science Journal, 2020, 30(S1): 71-76. doi: 10.16265/j.cnki.issn1003-3033.2020.S1.014
[5]	DAL C A, RUSSO S. Evaluation of static and dynamic long-term structural monitoring for monumental masonry structure[J]. Journal of Civil Structural Health Monitoring, 2019, 9(2): 169-182.
[6]	BARRIAS A, RODRIGUEZ G, CASAS J R, et al. Application of distributed optical fiber sensors for the health monitoring of two real structures in Barcelona[J]. Structure and Infrastructure Engineering, 2018, 14(7): 967-985.
[7]	BLANCO H, BOFFILL Y, LOMBILLO I, et al. An integrated structural health monitoring system for determining local/global responses of historic masonry buildings[J]. Structural Control and Health Monitoring, 2018, 25(8): DOI: 10.1002/stc.2196.
[8]	ZINI G, BETTI M, BARTOLI G. A pilot project for the long-term structural health monitoring of historic city gates[J]. Journal of Civil Structural Health Monitoring, 2022, 12(3): 537-556.
[9]	邢介东. 高铁站房结构健康监测系统设计[J]. 铁道勘察, 2023, 49(2): 124-130,147.
	XING Jiedong. Design and implementation of structural health monitoring system for Jinandong railway station[J]. Railway Investigation and Surveying, 2023, 49(2): 124-130,147.
[10]	谢全敏, 马伟, 杨文东. 公路隧道结构健康自监测系统设计与实施[J]. 中国安全科学学报, 2022, 32(7): 56-62. doi: 10.16265/j.cnki.issn1003-3033.2022.07.1444
	XIE Quanmin, MA Wei, YANG Wendong. Design and implementation of SHM system for highway tunels[J]. China Safety Science Journal, 2022, 32(7): 56-62. doi: 10.16265/j.cnki.issn1003-3033.2022.07.1444
[11]	李宁, 杜江, 魏建友, 等. 某砖混砌体结构房屋危险性鉴定实例分析[J]. 建筑结构, 2021, 51(增2): 1 416-1 421.
	LI Ning, DU Jiang, WEI Jianyou, et al. Analysis of a case study on the risk appraisal of a brick-concrete structure building[J]. Building Structure, 2021, 51(S2): 1 416-1 421.
[12]	JGJ 125—2016, 危险房屋鉴定标准[S].
	JGJ 125-2016, Standard of dangerous building appraisal[S].
[13]	谢扬. 道路工程智能压实数据异常值识别处理方法研究[J]. 市政技术, 2018, 36(5): 17-19.
	XIE Yang. Method research of identification and processing of abnormal value of intelligent compaction data for road engineering[J]. Journal of Municipal Technology, 2018, 36(5): 17-19.
[14]	任普. 基于大数据的桥梁监测数据清洗方法研究[D]. 南京: 东南大学, 2019.
	REN Pu. Research on the data cleansingmethods for bridge monitoringdata based on big-data platform[D]. Nanjing: Southeast University, 2019.
[15]	孙延奎. 小波分析及其应用[M]. 北京: 机械工业出版, 2005: 35-46.
[16]	GB 50292—2015, 民用建筑可靠性鉴定标准[S].
	GB 50292-2015, Standard for appraiser of reliability of civil buildings[S].
[17]	AKOOND N, PELA L, MOLINS C, et al. Automated data analysis for static structural health monitoring of masonry heritage structures[J]. Structural Control and Health Monitoring, 2020, 27(10): DOI: 10.1002/stc.2581.
[18]	邓扬, 李爱群, 丁幼亮, 等. 基于长期监测数据的大跨桥梁结构伸缩缝损伤识别[J]. 东南大学学报, 2011, 41(2): 336-341.
	DENG Yang, LI Aiqun, DING Youliang, et al. Damage identification of expansion joints in long span bridge using long-term monitoring data[J]. Journal of Southeast University, 2011, 41(2): 336-341.

既有建筑砌体结构健康监测和损伤预警研究

Structural health monitoring and damage alarming for existing masonry buildings

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 12

参考文献 18

相关文章 4

编辑推荐

Metrics

本文评价

[1]	谢全敏, 马伟, 杨文东. 公路隧道结构健康监测系统设计与实施[J]. 中国安全科学学报, 2022, 32(7): 56-62.
[2]	徐乾, 杨超, 郭鸿, 郭光玲. 损伤状态下某桩板式挡土墙稳定性预警[J]. 中国安全科学学报, 2020, 30(2): 47-53.
[3]	徐乾讲师, 杨超. 桩板式挡土墙损伤预警研究[J]. 中国安全科学学报, 2017, 27(11): 169-174.
[4]	屈成忠，谢礼立. 中高层砌块砌体结构Pushover分析研究[J]. 中国安全科学学报, 2007, 17(11): 124-.