融合数据与模型的高大模板支撑结构监测预警阈值确定及更新方法

作者：李强¹’²,王佩璇³,马海鹏⁴,张营营¹,卢璐⁵

作者简介：

李强,副教授,E⁃mail: liqiang@ nit. zju. edu. cn

作者单位：

1. 中国矿业大学力学与土木工程学院,江苏徐州 221018; 2. 浙大宁波理工学院土木建筑工程学院,浙江宁波 315100; 3. 河南工业大学土木工程学院,河南郑州 450001; 4. 同舟国际工程管理有限公司,浙江宁波 315000; 5. 宁波市凯弘工程咨询有限公司,浙江宁波 315500

基金项目：

∗浙江省自然科学基金(LY24E080012); 宁波市重点研发计划项目(2023Z221,2024Z216); 宁波市公益性研究计划项目(2023S004); 浙江省尖兵领雁计划项目(2023C03183); 浙江省建设科研项目(2022K134,2023K226)

摘要：

针对工程实践中高大模板支撑结构(高支模)安全监测缺少科学、合理预警阈值问题,提出一种融合数据与模型的监测预警阈值确定及更新方法. 以某实际高支模工程为例,根据专项设计资料和施工现场边界设置条件建立有限元模型,进行屈曲破坏分析,确定初始预警阈值,用于指导现场监测. 搭建视觉监测系统,实时监测高支模结构位移,感知数据并进行超限预警;反馈实测数据,更新有限元模型,将更新后的模型屈曲破坏位移和初始预警阈值进行对比,并分析阈值合理性. 结果表明,随着时间积累,高支模结构水平偏移和竖向沉降均呈逐渐增大趋势. 提出的监测预警阈值确定及更新方法可在工程实践中不断迭代改进,更新后的模型屈曲破坏位移大于初始报警阈值,说明初始预警阈值偏于安全,取值合理.

关键词：高支模;屈曲破坏;视觉监测系统;位移;有限元分析;监测;预警

English：

view of the lack of scientific and reasonable early warning value in the safety monitoring ofhigh formwork support structure ( high⁃support formwork) in engineering practice, a determining andupdating method for monitoring warning value by fusing data and model is proposed. Taking an actualproject as an example, the finite element model is established according to the special design data and theboundary setting conditions of the construction site, and the buckling failure analysis is carried out todetermine the initial warning threshold, which is used to guide the on⁃site monitoring. A visualmonitoring system is built to monitor the displacement of high⁃support formwork structure in real time,perceive data and carry out over⁃limit warning. The measured data is responded and the finite elementmodel is updated, the updated model buckling failure displacement with the initial warning threshold arecompared, and the rationality of the threshold is analyzed. The results show that with the accumulation oftime, the horizontal displacement and vertical settlement of high⁃support formwork structure are graduallyincreasing. The method of determining and updating the monitoring warning value proposed can beiteratively improved in engineering practice. The updated model buckling failure displacement is greaterthan the initial alarm threshold, indicating that the initial warning threshold is safe and reasonable.

[1]	住房城乡建设部办公厅关于实施《危险性较大的分部分项工程安全管理规定》有关问题的通知 [ EB/ OL]. https: / /www. mohurd. gov. cn / gongkai / zhengce / zhengcefilelib / 201805 /20180522_236168. html.Notice from the General Office of the Ministry of Housing andUrban Rural Development on the implementation of the safetymanagement regulations for sub projects with high risks [ EB/OL ]. https: / / www. mohurd. gov. cn / gongkai / zhengce /zheng
[2]	谢楠,郝鹏,尹智宏,等. 混凝土浇筑期高大模板支撑体系的受力性能研究 [J]. 工程力学, 2012, 29(S2): 164⁃169.XIE N, HAO P, YIN Z H, et al. Research on performance ofhigh formwork support system during concrete placement [ J].Engineering mechanics, 2012, 29(S2): 164⁃169.
[3]	WANG C, ZHANG H, RASMUSSEN J K, et al. Systemreliability⁃based limit state design of support scaffoldingsystems[J]. Engineering structures, 2020, 216:110677.
[4]	谢楠,赵凯,胡杭,等. 高大模板支架的容错优化设计研究 [J]. 工程力学, 2018, 35(S1): 101⁃106.XIE N, ZHAO K, HU H, et al. Research on fault⁃tolerantoptimization design of high formwork support [ J]. Engineeringmechanics, 2018, 35(S1):101⁃106.
[5]	董金凤. 考虑节点半刚性盘扣式支模架稳定承载力理论与试验研究[D]. 辽宁:辽宁工程技术大学, 2022.DONG J F. Theoretical and experimental study on stable bearingcapacity of semi⁃rigid disk lock formwork support consideringjoints[D]. Liaoning:Liaoning Technical University, 2022.
[6]	罗尧治,郑延丰,谢俊乔,等. 建筑施工临时支撑结构分类及稳定性分析[J]. 建筑结构学报, 2016, 37(4):143⁃150.LUO Y Z, ZHENG Y F, XIE J Q, et al. Classification andstability analysis on temporary support structures inconstruction[J]. Journal of building structures, 2016, 37 ( 4 ):143⁃150.
[7]	刘慧娟,罗永峰,杨绿峰. 临时支撑卸载冲击对施工中弦支穹顶结构性能的影响研究[ J]. 振动与冲击, 2011, 30 ( 3):171⁃176.LIU H J, LUO Y F, YANG L F. Analysis on the effect ofunloading impact of supporting system on suspen⁃dome behaviorduring construction process[ J]. Journal of vibration and shock,2011, 30(3):171⁃176.
[8]	YU H F, GUO S D, LIU W R, et al. Experimental study onstable bearing capacity of wheel⁃buckle formwork supportframes[J]. Structures,2023, 48:1175⁃1189.
[9]	谢楠,付小辉,王立峰,等. 扣件式高大模板支架的概率极限状态设计法研究[J]. 工程力学, 2016, 33(10): 68⁃75,104.XIE N, FU X H, WANG L F, et al. Design method of load andresistance factor for high falsework with couplers [ J ].Engineering mechanics, 2016, 33(10): 68⁃75,104.
[10]	郭艳. 模板支架承载特性及其节点半刚性研究[D]. 西安:西安建筑科技大学, 2016.GUO Y. Research on the bearing characteristics of formworksupport and the semi⁃rigidity of its joints [D]. Xi’ an: Xi’anUniversity of Architecture and Technology, 2016.
[11]	YUAN X, ANUMBA J C, PARFITT K M. Cyber⁃physicalsystems for temporary structure monitoring [ J]. Automation inconstruction,2016, 66: 1⁃14.
[12]	CHEN S J, JIAN L P, LIN J N, et al. An intelligent high⁃formwork support monitoring system [ J]. Artificial intelligenceevolution, 2022:160⁃169.
[13]	CHENG Y Y, LIN F Z, WANG W G, et al. Vision⁃basedtrajectory monitoring for assembly alignment of precast concretebridge components [ J ]. Automation in construction, 2022,140: 104350.
[14]	鲍跃全,李惠. 人工智能时代的土木工程 [ J]. 土木工程学报, 2019, 52(5): 1⁃11.BAO Y Q, LI H. Artificial intelligence for civil engineering[ J].China civil engineering journal, 2019, 52(5): 1⁃11.
[15]	LI Y, CHEN J. Computer vision – based counting model fordense steel pipe on construction sites[J]. Journal of constructionengineering and management, 2022,148(1): 04021178.
[16]	刘济舟,孟上九,袁晓铭,等. 基于图像动态识别技术的地震动参数快速判别方法[ J]. 振动与冲击, 2022, 41(5): 189⁃196,207.LIU J Z, MENG S J, YUAN X M, et al. Fast recognition methodof ground motion parameters based on image dynamic recognitiontechnique[J]. Journal of vibration and shock, 2022, 41( 5):189⁃196,207.
[17]	周颖, 张立迅, 刘彤, 等. 基于计算机视觉的结构系统识别 [J]. 土木工程学报, 2018, 51(11): 17⁃23.ZHOU Y, ZHANG L X, LIU T, et al. Structural systemidentification based on computer vision [ J ]. China civilengineering journal, 2018, 51(11): 17⁃23.
[18]	FANG W L, MA L, LOVE P E D, et al. Knowledge graph foridentifying hazards on construction sites: Integrating computervision with ontology[J]. Automation in construction, 2020,119:103310.
[19]	池昌政,庞博,任江涛,等. 基于视觉识别的高大模板支撑结构安全监控方法[J]. 工业建筑, 2024, 54(2): 65⁃72.CHI C Z, PANG B, REN J T, et al. A safety monitoring methodfor high⁃formwork support structures based on computer visionrecognition[J]. Industrial construction,2024, 54(2): 65⁃72.
[20]	李航宇,龚杰,陶玉菲,等. 基于轻量化多目标视觉感知的高大模板系统位移监控[ J]. 建筑结构学报, 2024, 45 ( 7):69⁃79.LI H Y, GONG J, TAO Y F, et al. Research on displacementmonitoring of high formwork system based on lightweight multi⁃target visual perception[J]. Journal of building structures, 2024,45(7): 69⁃79.
[21]	XIONG R X, SONG Y B, LI H, et al. Onsite video mining forconstruction hazards identification with visual relationships[ J].Advanced engineering informatics, 2019,42: 100966.
[22]	杨斌,张卫冬,伍章明,等. 基于 SOA 的设备远程监测与故障诊断系统体系结构研究[ J]. 振动与冲击, 2011, 30(3): 85⁃90,108.YANG B, ZHANG W D, WU Z M, et al. Architecture of remotemonitoring and diagnosis system based on service⁃orientedarchitecture(SOA) [ J]. Journal of vibration and shock, 2011,30(3):85⁃90,108.
[23]	FANG W L, DING L Y, ZHONG B T, et al. Automateddetection of workers and heavy equipment on construction sites: aconvolutional neural network approach[J]. Advancedengineering informatics, 2018,37:139⁃149.
[24]	SUN L M, SUN H B, ZHANG W, et al. Hybrid monitoringmethodology: a model⁃data integrated digital twin framework forstructural health monitoring and full⁃field virtual sensing [ J].Advanced engineering informatics,2024,60: 102386.
[25]	刘卫然,于海丰,黄俊,等. 轮扣式模板支撑架稳定承载力试验研究及有限元分析[J]. 建筑结构学报, 2022, 43(1): 219⁃227.LIU W R, YU H F, HUANG J, et al. Experimental study andfinite element analysis of stable bearing capacity of wheel⁃buckledformwork supporting frame [ J]. Journal of building structures,2022, 43(1):219⁃227.
[26]	HUANG M F, ZHANG B Y, LOU W J, et al. A deep learningaugmented vision⁃based method for measuring dynamicdisplacements of structures in harsh environments[J]. Journal ofwind engineering and industrial aerodynamics, 2021,217: 104758.
[27]	HUANG M F, ZHANG B Y, LOU W J. A computer vision⁃basedvibration measurement method for wind tunnel tests of high⁃risebuildings [ J ]. Journal of wind engineering and industrialaerodynamics, 2018, 182: 222⁃234.
[28]	蒋明华,张宗富. 盘扣式支撑架有限元模型的修正方法 [ J].黑龙江科技大学学报, 2021, 31(6): 753⁃758.JIANG M H, ZHANG Z F. Model updating method of finiteelement model of disk lock steel tubular scaffold. [J]. Journal ofHeilongjiang University of Science and Technology, 2021,31(6):753⁃758.

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