既有玻璃幕墙检测技术的研究进展

简洪树; 金楠; 伍永靖邦; 张维; 范存君; 施钟淇; 刘玉珂

doi:10.13204/j.gyjzG22072513

既有玻璃幕墙检测技术的研究进展

doi: 10.13204/j.gyjzG22072513

简洪树¹,
金楠^1,2,3, ,,
伍永靖邦^1,2,3,
张维^1,2,3,
范存君^1,2,3,
施钟淇^1,2,3,
刘玉珂¹

1. 深圳市城市公共安全技术研究院有限公司, 广东深圳 518046;
2. 城市安全风险监测预警应急管理部重点实验室, 广东深圳 518038;
3. 城市安全发展科技研究院(深圳), 广东深圳 518046

详细信息

作者简介:
简洪树,男,1995年出生,硕士。

通讯作者:
金楠,女,1990年出生,博士,jianhs@szsti.org。

计量
- 文章访问数: 259
- HTML全文浏览量: 34
- PDF下载量: 12
- 被引次数: 0
出版历程
- 收稿日期: 2022-07-25
- 网络出版日期: 2023-03-22

Review on Inspection Techniques of Glass Curtain Walls

JIAN Hongshu¹,
JIN Nan^{1,2,3
, ,},
WU Yongjingbang^1,2,3,
ZHANG Wei^1,2,3,
FAN Cunjun^1,2,3,
SHI Zhongqi^1,2,3,
LIU Yuke¹

1. Shenzhen Urban Public Safety and Technology Institute, Shenzhen 518046, China;
2. Key Laboratory of Urban Safety Risk Monitoring and Early Warning of the Ministry of Emergency Management, Shenzhen 518038, China;
3. Safe Urban Development Institute of Science and Technology (Shenzhen), Shenzhen 518046, China

摘要

摘要: 玻璃幕墙在我国大型和高层建筑中得到广泛应用的同时，安全问题也日益突出。本文主要从近年来事故案例出发，分析了导致既有玻璃幕墙坠落的主要安全隐患类型及原因，提出了当前幕墙安全检测技术应用所面临的挑战，并对国内外关于玻璃幕墙安全检测新技术、新方法的研究作了归纳总结，为既有玻璃幕墙安全检测技术的发展提供参考和建议。
- 玻璃幕墙 /
- 事故分析 /
- 检测技术 /
- 图像处理 /
- 振动分析
Abstract: Although glass curtain walls are widely used in large-scale and high-rise buildings in China, relevant safety issues are becoming increasingly prominent. This paper used the accident cases in recent years to analyze the main safety hazard types and main reasons for the falling of existing glass curtain walls. Then, the paper put forward the challenges faced by the inspection techniques of glass curtain walls and summarized the new techniques and methods in this regard all around the world. The study can provide a reference and suggestions for the development of inspection techniques for existing glass curtain walls.
- glass curtain walls /
- accident analysis /
- inspection technique /
- image processing /
- vibration analysis

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参考文献(51)

[1]	朱瑞娟,陈媛媛,刘继武,等.既有玻璃幕墙安全性能检测技术发展现状[J].中国建材科技,2018,27(3):1-3.
[2]	刘小根,包亦望.玻璃幕墙结构胶失效原因及现场检测[J].中国建筑防水, 2012(8):13-16.
[3]	李庆武,卢文胜,曹文清.考虑耐久性能的建筑玻璃幕墙振动台试验方法初探[J].结构工程师,2012,28(6):90-95.
[4]	包亦望,刘正权.钢化玻璃自爆机理与自爆准则及其影响因素[J].无机材料学报,2016,31(4):401-406.
[5]	SWAIN M V. A fracture mechanics description of the microcracking about NiS inclusions in glass[J]. Journal of Non-Crystalline Solids, 1980,38, 451-456.
[6]	广东省住房和城乡建设厅.广东省建筑幕墙可靠性鉴定技术规程:DBJ/T 15-88-2011[S].北京:中国建筑工业出版社,2011.
[7]	安徽省质量技术监督局.既有玻璃幕墙可靠性能检测评估技术规范:DB 34/T 1631-2012[S].合肥:2012.
[8]	山东省住房和城乡建设厅.既有玻璃幕墙检验评估技术规程:DBJ/T 14-096-2013[S].济南:2013.
[9]	山西省住房和城乡建设厅.玻璃幕墙安全性能鉴定技术标准:DBJ04/T 331-2016[S].北京:中国建材工业出版社,2016.
[10]	深圳市住房和建设局.深圳市既有建筑幕墙安全检查技术标准:SJG 43-2017[S].深圳:2017.
[11]	重庆市住房和城乡建设委员会.玻璃幕墙安全性检测鉴定技术标准:DBJ 50/T303-2018[S].重庆:2019.
[12]	北京市住房和城乡建设委员会.既有玻璃幕墙安全性检测与鉴定技术规程:DB 11/T 1812-2020[S].北京:2020.
[13]	上海市住房和城乡建设管理委员会.建筑幕墙工程技术标准:DGJ 08-56-2020[S].上海:同济大学出版社,2020.
[14]	四川省住房和城乡建设厅.四川省玻璃幕墙工程技术标准:DBJ51T 139-2020[S].成都:西南交通大学出版社,2020.
[15]	GORDON G G. Automated glass-fragmentation analysis. In Machine Vision Applications in Industrial Inspection IV[C]//International Society for Optics and Photonics, 1996,2665:244-252.DOI: 10.1117112.232245.
[16]	苑玮琦,毕天宇.玻璃质量在线视觉检测系统光源的设计[J].应用光学, 2015, 36(3):369-375.
[17]	吴淳杰,邴智刚,程力,等.用于玻璃碎片测试的图像处理技术[J].电子技术与软件工程,2017(4):92-93.
[18]	刘小根,包亦望,宋一乐,等.真空玻璃真空度在线检测技术与应用[J].郑州大学学报(工学版),2009,30(1):101-105.
[19]	万德田,包亦望,刘小根,等.门窗幕墙用钢化玻璃自爆源和自爆机理分析及在线检测技术[J].中国建材科技,2010(增刊2):178-184.
[20]	杨杰,卢盛林,赵晓芳.机器视觉在钢化玻璃缺陷检测中的应用研究[J].计算机技术与发展,2013,23(3):211-214.
[21]	李雷.基于无人机采集图像的玻璃幕墙面板损伤智能检测方法[D].镇江:江苏大学,2019.
[22]	杨潇珂.掺矿物油硅酮密封胶的性能及对玻璃幕墙的危害[J].中国建筑金属结构,2010(10):39-42.
[23]	程鹏,崔洪,邢凤群,等.明框玻璃幕墙中空玻璃密封胶失效原因分析及其预防[J].中国建筑防水,2014(10):29-32,44.
[24]	HONG X, LIN J, LIU Y, et al. Active thermal sensing for bonding structure damage detection of hidden frame glass curtain wall[J]. Sensors, 2018,18(11),3594.DOI: 10.3390/s18113594.
[25]	LIN J, HONG X, REN Z. Laser in-depth heating thermal wave detection of adhesive debonding in glass curtain walls:Numerical simulation and experiment[J]. Measurement, 2021,177.DOI: 10.1016/j.measurment.2021.109268.
[26]	CHOPRA A K. Dynamics of structures[M]. Pearson Education India,2007.
[27]	WEGGEL D C, ZAPATA B J, KIEFER M J. Properties and dynamic behavior of glass curtain walls with split screw spline mullions[J]. Journal of Structural Engineering, 2007,133(10):1415-1425.
[28]	刘小根,包亦望,宋一乐,等.基于动态法对既有玻璃幕墙安全性能评估研究[J].土木工程学报,2009,42(12):11-15.
[29]	刘小根,包亦望,邱岩,等.隐框玻璃幕墙结构胶损伤检测[J].中国建筑防水,2011(17):26-30+37.
[30]	陈振宇,骆英,顾建祖.一种基于FFT功率谱的全隐框玻璃幕墙结构胶脱粘长度检测方法[J].四川建筑科学研究,2009,35(2):104-107.
[31]	林圣忠,邵晓蓉,王晨,等.基于应变的玻璃幕墙结构胶损伤检测研究[J].门窗,2010(12):22-23.
[32]	顾建祖,郝文峰,骆英,等.固有模态函数振动传递率损伤识别实验研究[J].实验力学,2010,25(4):386-392.
[33]	顾建祖,郝文峰,骆英,等.基于固有模态函数振动传递率的结构损伤识别[J].建筑科学与工程学报,2011,28(1):27-32.
[34]	金骏,岳增国,许晨,等.基于模态分析的玻璃幕墙结构胶粘结失效检测方法[J].科技资讯,2017,15(34):11-12.
[35]	方治华,罗文奇.基于模态曲率的全隐框玻璃幕墙损伤检测研究[J].价值工程, 2017,36(20):89-93.
[36]	罗文奇,方治华.基于频率变化率的全隐框玻璃幕墙损伤检测研究[J].建筑技术开发,2017,44(13):1-2.
[37]	赵中,王刚玉,刘一锋,等.玻璃幕墙安全性能评估及其面板失效检测研究[J].四川建材,2019,45(4):21-22.
[38]	李志翔.基于应变的玻璃幕墙结构胶损伤检测研究[J].智能城市, 2020, 6(17):133-134.
[39]	张元植,魏明宇,黄友帮,等.玻璃幕墙振动测试法现场试验研究与数值分析[J].四川建筑科学研究,2021,47(1):16-23.
[40]	郑恒,张喜臣,王洪涛,等.基于原点频响函数的建筑玻璃幕墙粘接结构损伤检测[J].振动与冲击,2021,40(13):289-298.
[41]	PAN D, JIANG K, ZHANG X, et al.Sealant delamination detection of structural sealant glazing systems based on driving-point accelerance[J]. Shock and Vibration, 2020.DOI: 10.1155/2020/7260438.
[42]	HONG X, LIU Y, LIN P, et al. Interfacial adhesion-strength detection of structural silicone sealant for hidden frame-supported glass Curtain Wall based on nonlinear ultrasonic lamb wave[J]. Journal of Aerospace Engineering, 2018,31(5).DOI: 10.1061/(ASCE)AS.1943-5525.
[43]	HONG X, LIU Y, LIUFU Y, et al. Debonding detection in hidden frame supported glass curtain walls using the nonlinear ultrasonic modulation method with piezoceramic transducers[J]. Sensors, 2018,18(7),2094.DOI: 10.3390/s18072094.0000870.
[44]	HONG X, ZHANG B, LIU Y, et al. Deep-learning-based guided wave detection for liquid-level state in porcelain bushing type terminal[J]. Structural Control and Health Monitoring, 2021,28(1).DOI: 10.1002/stc.2651.
[45]	HUANG Z, XIE M, ZHAO J, et al. Rapid evaluation of safety-state in hidden-frame supported glass curtain walls using remote vibration measurement[J]. Journal of Building Engineering, 2018,19:91-97.
[46]	HUANG Z, XIE M, SONG H, et al. Modal analysis related safety-state evaluation of hidden frame supported glass curtain wall[J]. Journal of Building Engineering, 2018,20:671-678.
[47]	黄智德. 建筑幕墙安全状态评价模型与远程检测方法研究[D].北京:北京科技大学,2019.
[48]	HUANG Z, XIE M, CHEN C, et al. Engineering application of a safety-state evaluation model for hidden frame-supported glass curtain walls based on remote vibration[J]. Journal of Building Engineering, 2019,26,100915.DOI: 10.1016/j.jobe.2019.100915.
[49]	CHEN C, XIE M, DU Y, et al. A new method of safety detection in high-rise building curtain walls based on natural vibration frequency[C]//In IOP Conference Series:Earth and Environmental Science. IOP Publishing, 2021.
[50]	XU D, WANG Y, XIE J. Monitoring and analysis of building curtain wall deformation based on optical fiber sensing technology[J]. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2021,11(4):3081-3091.
[51]	MENG X, HE Y, HAN J. (2019, November). Design and implementation of a contact aerial manipulator system for glass-wall inspection tasks[C]//2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).2019.