«上一篇/Previous Article|本期目录/Table of Contents|下一篇/Next Article»

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

卷:

39卷

期数:

2022年04期

页码:

1-23

栏目:

出版日期:

2022-07-12

文章信息/Info

Title:

Present Situation and Prospect of Intelligent Demolition Technology for Long-span Prestressed Concrete Bridge

文章编号:

1673-2049(2022)04-0001-23

作者:

刘永健^1,2,3,唐志伟^1,3,肖 军^3,4,刘 江^1,3,龚勃旭^1,3,王 壮^1,3

(1. 长安大学 公路学院,陕西 西安 710064; 2. 长安大学 公路大型结构安全教育部工程研究中心,陕西 西安 710064; 3. 陕西省“四主体一联合”桥梁工程智能建造技术校企联合研究中心,陕西 西安 710064; 4. 中交二公局工程设计研究院,陕西 西安 710199)

Author(s):

LIU Yong-jian^1,2,3, TANG Zhi-wei^1,3, XIAO Jun^3,4, LIU Jiang^1,3, GONG Bo-xu^1,3, WANG Zhuang^1,3

(1.School of Highway,Chang'an University,Xi'an 710064,Shaanxi,China;2.Research Center of Highway Large Structure Engineering on Safety,Ministry of Education,Chang'an University,Xi'an 710064,Shaanxi,China;3.Shaanxi Province “Four Bodies-One Union” College-Enterprise Union Research Center of Bridge Engineering Intelligent Construction Technology,Xi'an 710199,Shaanxi,China;4.Engineering Design and Research Institute of CCCC Second Highway Engineering Bureau Co.,Ltd,Xi'an 710199,Shaanxi,China)

关键词:

大跨度预应力混凝土桥;  智能拆除;  全生命周期;  状态评估;  数字孪生体;  新一代信息技术

Keywords:

long-span prestressed concrete bridge;  intelligent demolition;  life cycle;  condition assessment;  digital twin;  new generation of information technology

分类号:

U445.6

DOI:

10.19815/j.jace.2022.03028

文献标志码:

A

摘要:

为实现大跨度预应力混凝土桥拆除的安全可控,通过分析桥梁拆除的特点及存在的技术问题,明确了基于数字孪生体技术的桥梁智能拆除的概念,厘清了桥梁智能拆除技术的发展阶段,展望了基于数字孪生体技术的桥梁智能拆除应用前景,综述了数字孪生体技术在桥梁工程中的研究现状; 结合某大桥拆除工程案例,对数字孪生体技术进行探索应用,不断提高桥梁拆除过程内力状态预测和控制精度,避免再利用构件二次损伤。研究结果表明:大跨度预应力混凝土桥拆除具有恒载内力状态不确定和施工状态不可控的特点,拆除时的结构力学行为是一个瞬间释放的过程,当主梁恒载负弯矩无法匹配预应力提供的正弯矩时,墩梁结合处梁段存在底板拉裂和顶板压溃的风险; 服役桥梁在荷载和环境长期耦合作用下结构性能不断劣化,由于养护不到位导致桥梁过早进入病害高发期,迫切需要通过养护加固提升结构性能,但是“过度医疗”的桥梁结构在经过长期运营后结构性能劣化速率会不断加快,将大大缩短桥梁的使用寿命,因此在最佳的养护时机采取合适的养护措施可以有效延长桥梁使用寿命; 然而,一系列维修加固措施又会使得桥梁结构状态精准评估和预测愈发困难; 桥梁智能拆除是借助新一代信息技术,实时掌握桥梁拆除全过程的真实受力状态,通过数据驱动虚拟桥梁在拆除过程中进行自感知、自演化、自学习、自评估、自决策和自执行,逐步实现人机协同拆除、自动化智能拆除的施工创新模式; 借助三维激光扫描仪和全站仪对桥梁结构进行数字重构,精准掌握桥梁恒载分布状况及拆除梁段吊重,通过状态反演的方法对拆除前外观病害和拆除中结构响应进行状态验证和模型修正,明确病害成因及演化规律,掌握结构恒载内力状态,动态调整监控阈值逐步逼近桥梁真实应力状态,从而预先识别风险工况并采取积极高效的安全控制措施,实现桥梁拆除过程的精准预测和控制; 对桥梁拆除后再利用构件进行精确测量、有损检测、耐久性试验和长期性能实时监测,有助于提高数字化检测技术的测量精度和效率,推动桥梁结构长期性能演化规律研究; 基于数字孪生体技术的桥梁智能拆除研究方向应重点关注桥梁损伤构件无损检测技术及定量分析方法、桥梁结构病害和长期性能演化规律、既有损伤的桥梁结构精细化模拟仿真技术、基于物联网技术的桥梁智能监测系统、基于数据驱动的智能拆除机器人自动化施工技术和桥梁全生命周期内数字模型构建、使用、维护、管理体系。

Abstract:

In order to achieve the safety and controllability of the demolition of long-span prestressed concrete bridges, the concept of intelligent bridge demolition based on digital twin technology was made clear by analyzing the characteristics and existing technical problems of bridge demolition. The development stage of intelligent bridge demolition technology was clarified. The application prospects of intelligent bridge demolition based on digital twin technology were forecasted and the research status of digital twin technology in bridge engineering was reviewed. Combined with a bridge demolition project, the internal force state prediction and control accuracy of bridge demolition process were continuously improved to avoid the secondary damage of reuse components through the exploration and application of digital twin technology. The results show that the demolition of long-span prestressed concrete bridges has the characteristics of uncertain internal force state under dead load and uncontrollable construction state. The structural mechanical behavior is an instantaneous release process during the demolition. When the dead load bending moment of the main beam can not match the positive bending moment provided by the prestress, there is a risk of floor cracking and roof collapse at the beam section of the pier-beam junction. The structural performance of the service bridge continues to deteriorate under the long-term coupling effect of load and environment. Due to the insufficient maintenance, the bridge enters the period of high disease incidence prematurely, and it is urgent to maintain and strengthen to improve the structural performance. However, the degradation rate of structural performance of overtreatment bridge structure will continue to accelerate after long-term operation, which will greatly shorten the service life of the bridge. Therefore, taking appropriate maintenance measures at the best maintenance time can effectively prolong the service life of the bridge. However, a series of maintenance and reinforcement measures will make accurate assessment and prediction of bridge structure more difficult. With the help of a new generation of information technology, intelligent bridge demolition can grasp the real stress state of the whole process of bridge demolition in real time. Through data-driven virtual bridge in the demolition process, self-perception, self-evolution, self-learning, self-assessment, self-decision-making and self-execution are carried out, and the construction innovation mode of man-machine collaborative demolition and automatic intelligent demolition is gradually realized. With the help of three-dimensional laser scanner and electronic total station, the digital reconstruction of the bridge structure is carried out to accurately grasp the dead load distribution of the bridge and the weight of the removed beam section. Through the state inversion method, the state verification and model correction of the appearance disease before the demolition and the structural response during the demolition are carried out. The cause and evolution law of the disease are clarified, the internal force state of the structure under dead load is mastered, and the monitoring threshold is dynamically adjusted to gradually approach the real stress state of the bridge, so as to identify the risk conditions in advance and take active and efficient safety control measures to realize the accurate prediction and control of the bridge demolition process. Accurate measurement, damage detection, durability test and long-term performance real-time monitoring of reusable components after bridge demolition are helpful to improve the measurement accuracy and efficiency of digital detection technology and promote the study of long-term performance evolution law of bridge structures. The research direction of bridge intelligent demolition based on digital twin technology should focus on the research of nondestructive testing technology and quantitative analysis method of bridge damage components, bridge structure disease and long-term performance evolution law, fine simulation technology of existing damaged bridge structure, bridge intelligent monitoring system based on internet of things technology, automatic construction technology of intelligent demolition robot based on data-driven and digital model construction, use, maintenance and management system in the whole life cycle of bridge.

参考文献/References:

[1] 刘永健,张国靖,周绪红.桥梁结构安全系数取值问题讨论[J/OL].中国公路学报:1-26[2021-12-05].http://kns.cnki.net/kcms/detail/61.1313.U.20211202.1616.002.html.
LIU Yong-jian,ZHANG Guo-jing,ZHOU Xu-hong.Discussion on Safety Factor Value of Bridge Structure[J/OL].China Journal of Highways:1-26[2021-12-05].http://kns.cnki.net/kcms/detail/61.1313.U.20211202.1616.002.html.
[2]李亚东.既有桥梁评估方法研究[J].铁道学报,1997,19(3):109-115.
LI Ya-dong.Research on Methods for Assessment of Existing Bridges[J].Journal of the China Railway Society,1997,19(3):109-115.
[3]李亚东,王崇交.中外桥梁长寿命化研究进展及其思考[J].桥梁建设,2019,49(2):17-23.
LI Ya-dong,WANG Chong-jiao.Research Advances in Long-life of Worldwide Bridges and Corresponding Reflections[J].Bridge Construction,2019,49(2):17-23.
[4]周建庭,郑 丹.保障我国桥梁安全的战略思考[J].中国工程科学,2017,19(6):27-37.
ZHOU Jian-ting,ZHENG Dan.Safety of Highway Bridges in China[J].Strategic Study of CAE,2017,19(6):27-37.
[5]金宏忠,高 巍,来猛刚.桥梁拆除工程分析探讨[J].中外公路,2011,31(3):213-216.
JIN Hong-zhong,GAO Wei,LAI Meng-gang.Analysis and Discussion on Bridge Demolition Engineering[J].Journal of China & Foreign Highway,2011,31(3):213-216.
[6]朱超宇,袁 鑫,田石柱.跨高速公路连续梁桥拆除施工方案研究[J].世界桥梁,2020,48(1):77-81.
ZHU Chao-yu,YUAN Xin,TIAN Shi-zhu.Study of Demolition Schemes for a Continuous Beam Bridge Crossing Highway[J].World Bridges,2020,48(1):77-81.
[7]王旺劝,向 睿,周喜龙.反浇筑顺序的节段切割法在旧桥拆除中的应用研究[J].交通科技,2007(4):34-36.
WANG Wang-quan,XIANG Rui,ZHOU Xi-long.Study on the Application of Segment Cutting Method with Reverse Pouring Sequence in the Demolition of Old Bridges[J].Transportation Science & Technology,2007(4):34-36.
[8]贾布裕,余晓琳,颜全胜.流溪河大桥主桥拆除施工技术[J].桥梁建设,2014,44(6):107-111.
JIA Bu-yu,YU Xiao-lin,YAN Quan-sheng.Construction Techniques for Demolition of Main Bridge of Liuxi River Bridge[J].Bridge Construction,2014,44(6):107-111.
[9]刘显晖,谭柳芳,杨 帆,等.一种旧桥拆除的创新方法[J].施工技术,2005,34(9):4-6.
LIU Xian-hui,TAN Liu-fang,YANG Fan,et al.A New Construction Method to Remove Old Bridges[J].Construction Technology,2005,34(9):4-6.
[10]朱慈祥,李少芳,向中富,等.混凝土箱梁桥大节段下放拆除施工方法研究[J].重庆交通大学学报(自然科学版),2011,30(增2):1246-1251.
ZHU Ci-xiang,LI Shao-fang,XIANG Zhong-fu,et al.Lowering and Dissembling Method of Large Section Concrete Box Girder[J].Journal of Chongqing Jiaotong University(Natural Science),2011,30(S2):1246-1251.
[11]王小花,陈宜言,何晓晖,等.SPMT快速拆架桥技术运用[J].建筑结构,2019,49(增1):926-930.
WANG Xiao-hua,CHEN Yi-yan,HE Xiao-hui,et al.Application of SPMT Technology for Rapid Bridge Demolition and Construction[J].Building Structure,2019,49(S1):926-930.
[12]ROSVALL E S,HALLING M W,LINDSEY R.Induced Stresses from Lifting and Moving Highway Bridges with Self-propelled Modular Transporters[J].Transportation Research Record,2010,2200(1):17-25.
[13]朱世峰,朱慈祥,陈 亮.大净高跨线桥快速拆除技术[J].世界桥梁,2020,48(2):56-60.
ZHU Shi-feng,ZHU Ci-xiang,CHEN Liang.Rapid Demolition Techniques for Overpass with Large Net Clearance[J].World Bridges,2020,48(2):56-60.
[14]蒋洪涛.混凝土箱梁桥拆除施工技术研究[D].重庆:重庆交通大学,2011.
JIANG Hong-tao.Demolished Construction Technology Research of Concrete Box Girder Bridge[D].Chongqing:Chongqing Jiaotong University,2011.
[15]刘 维.广东九江大桥拆除方案研究[D].成都:西南交通大学,2009.
LIU Wei.Research on the Project of Dismantling and Redesign of Jiujiang Bridge in Guangdong[D].Chengdu:Southwest Jiaotong University,2009.
[16]项 伟.变截面PC连续刚构桥拆除分析及风险控制研究[D].北京:北京交通大学,2014.
XIANG Wei.Demolition Analysis and Risk Control of PC Continuous Rigid Frame Bridges with Variable Cross-section[D].Beijing:Beijing Jiaotong University,2014.
[17]刘小林,崔清强,张 鹏,等.大跨度旧、危桥梁的智能预警非爆破拆除法[J].中国市政工程,2006(3):28-31,92.
LIU Xiao-lin,CUI Qing-qiang,ZHANG Peng,et al.Smartly-warned Non-explosive Demolition of Old Precarious Large-spanned Bridges[J].China Municipal Engineering,2006(3):28-31,92.
[18]陶 飞,张 萌,程江峰,等.数字孪生车间——一种未来车间运行新模式[J].计算机集成制造系统,2017,23(1):1-9.
TAO Fei,ZHANG Meng,CHENG Jiang-feng,et al.Digital Twin Workshop:A New Paradigm for Future Workshop[J].Computer Integrated Manufacturing Systems,2017,23(1):1-9.
[19]陶 飞,刘蔚然,刘检华,等.数字孪生及其应用探索[J].计算机集成制造系统,2018,24(1):1-18.
TAO Fei,LIU Wei-ran,LIU Jian-hua,et al.Digital Twin and Its Potential Application Exploration[J].Computer Integrated Manufacturing Systems,2018,24(1):1-18.
[20]陶 飞,刘蔚然,张 萌,等.数字孪生五维模型及十大领域应用[J].计算机集成制造系统,2019,25(1):1-18.
TAO Fei,LIU Wei-ran,ZHANG Meng,et al.Five-dimension Digital Twin Model and Its Ten Applications[J].Computer Integrated Manufacturing Systems,2019,25(1):1-18.
[21]庄存波,刘检华,熊 辉,等.产品数字孪生体的内涵、体系结构及其发展趋势[J].计算机集成制造系统,2017,23(4):753-768.
ZHUANG Cun-bo,LIU Jian-hua,XIONG Hui,et al.Connotation,Architecture and Trends of Product Digital Twin[J].Computer Integrated Manufacturing Systems,2017,23(4):753-768.
[22]蒋 欣.国外关于预应力筋锚固长度的研究综述[J].铁道建筑,2015,55(10):38-41,55.
JIANG Xin.Review on Research of Anchoring Length of Prestressed Strand Abroad[J].Railway Engineering,2015,55(10):38-41,55.
[23]刘九正.先张法混凝土构件预应力传递长度试验研究[J].中外公路,2013,33(5):201-206.
LIU Jiu-zheng.Experimental Study on Prestressed Transfer Length of Pre-tensioned Concrete Members[J].Journal of China & Foreign Highway,2013,33(5):201-206.
[24]张治成,胡开建,李 强,等.旧桥拆除中的预应力筋放张效果探讨[J].华东公路,2012(3):68-71.
ZHANG Zhi-cheng,HU Kai-jian,LI Qiang,et al.Discussion on Detensioning Effect of Prestressed Reinforcement in Old Bridge Demolition[J].East China Highway,2012(3):68-71.
[25]王 辉.桥梁拆除过程预应力残余作用效应研究[J].铁道建筑技术,2021(3):10-12,38.
WANG Hui.Study on the Residual Effect of Prestressed Tendon During Bridge Demolishing[J].Railway Construction Technology,2021(3):10-12,38.
[26]刘永健,刘 江.钢-混凝土组合梁桥温度作用与效应综述[J].交通运输工程学报,2020,20(1):42-59.
LIU Yong-jian,LIU Jiang.Review on Temperature Action and Effect of Steel-concrete Composite Girder Bridge[J].Journal of Traffic and Transportation Engineering,2020,20(1):42-59.
[27]田 锋,段海波,杨振亚,等.数字孪生体技术白皮书(2019)[R].北京:安世亚太科技股份有限公司数字孪生体实验室,2019.
TIAN Feng,DUAN Hai-bo,YANG Zhen-ya,et al.Digital Twin Technology White Paper(2019)[R].Beijing:Digital Twin Laboratory of Ansai Asia Pacific Technology Co.,Ltd.,2019.
[28]丁烈云.智能建造创新型工程科技人才培养的思考[J].高等工程教育研究,2019(5):1-4,29.
DING Lie-yun.System Thinking on Cultivation Mode for Innovative Intelligent Construction Talents[J].Research in Higher Education of Engineering,2019(5):1-4,29.
[29]CANADAY H,李 韵.数字孪生技术的关键在于数据[J].航空维修与工程,2019(10):15-16.
CANADAY H,LI Yun.What's So New About Digital Twinning?[J].Aviation Maintenance & Engineering,2019(10):15-16.
[30]周绪红,张喜刚.以“智能桥梁”为特征的“第三代桥梁工程”[J].建设机械技术与管理,2020,33(3):18.
ZHOU Xu-hong,ZHANG Xi-gang.The “Third Generation Bridge Project” Characterized by “Intelligent Bridge”[J].Construction Machinery Technology & Management,2020,33(3):18.
[31]张喜刚,刘 高,马军海,等.中国桥梁技术的现状与展望[J].科学通报,2016,61(增1):415-425.
ZHANG Xi-gang,LIU Gao,MA Jun-hai,et al.Status and Prospect of Technical Development for Bridges in China[J].Chinese Science Bulletin,2016,61(S1):415-425.
[32]来猛刚,杨 敏,翟敏刚,等.桥梁工业化智能建造[J].公路,2021,66(7):195-202.
LAI Meng-gang,YANG Min,ZHAI Min-gang,et al.Industrialized Intelligent Construction of Bridge[J].Highway,2021,66(7):195-202.
[33]刘文锋.智能建造关键技术体系研究[J].建设科技,2020(24):72-77.
LIU Wen-feng.Key Technology System of Intelligent Construction[J].Construction Science and Technology,2020(24):72-77.
[34]张 鸿,张永涛,王 敏,等.全过程自适应桥梁智能建造体系研究与应用[J].公路,2021,66(4):124-136.
ZHANG Hong,ZHANG Yong-tao,WANG Min,et al.Research and Application of Whole Process Adaptive Bridge Intelligent Construction System[J].Highway,2021,66(4):124-136.
[35]毛志兵.智慧建造决定建筑业的未来[J].建筑,2019(16):22-24.
MAO Zhi-bing.Smart Construction Determines the Future of Construction Industry[J].Construction and Architecture,2019(16):22-24.
[36]《智能建筑》编辑部.以绿色建造引领和推动建筑业高质量发展:专访中国建筑业协会绿色建造与智能建筑分会会长肖绪文院士[J].智能建筑,2021(1):10-12.
Editorial Department of Intelligent Building.Leading and Promoting High-quality Development of Construction Industry with Green Construction — An Exclusive Interview with Academician XIAO Xu-wen,President of Green Construction and Intelligent Building Branch of China Construction Industry Association[J].Intelligent Building,2021(1):10-12.
[37]吴 多.基于桥梁全寿命周期的损伤识别及状态评估研究[D].西安:长安大学,2017.
WU Duo.Study on Damage Identification and State Evaluation of Bridge Life Cycle[D].Xi'an:Chang'an University,2017.
[38]马汝杰,夏建平,徐 润,等.BIM技术在改扩建公路桥梁勘察设计中的应用研究[J].公路,2021,66(3):85-89.
MA Ru-jie,XIA Jian-ping,XU Run,et al.Application Research of BIM Technology in Survey and Design of Reconstruction and Extension of Highway Bridges[J].Highway,2021,66(3):85-89.
[39]刘 宇,宋 羽,石信肖.基于激光扫描技术的建筑物三维重建[J].北京测绘,2020,34(5):619-622.
LIU Yu,SONG Yu,SHI Xin-xiao.3D Reconstruction of Buildings Based on Laser Scanning Technology[J].Beijing Surveying and Mapping,2020,34(5):619-622.
[40]刘 洋.无人机倾斜摄影测量影像处理与三维建模的研究[D].抚州:东华理工大学,2016.
LIU Yang.Unmanned Aerial Vehicle(UAV)Oblique Photogrammetric Image Processing and 3D Modeling[D].Fuzhou:East China Institute of Technology,2016.
[41]李晓斌,林志军,杨 玺,等.基于激光扫描和倾斜摄影技术的三维实景融合建模研究[J].激光杂志,2021,42(8):166-170.
LI Xiao-bin,LIN Zhi-jun,YANG Xi,et al.Research on 3D Real Scene Fusion Modeling Based on Laser Scanning and Oblique Photography[J].Laser Journal,2021,42(8):166-170.
[42]马随阳,谢 齐,余永周.基于无人机影像与三维激光数据融合的桥梁三维建模方法研究[J].中国水运航道科技,2021(5):70-73.
MA Sui-yang,XIE Qi,YU Yong-zhou.Research on Bridge 3D Modeling Method Based on UAV Image and 3D Laser Data Fusion[J].China Water Transportation(Science & Technology for Waterway),2021(5):70-73.
[43]梁 鹏,李 斌,王秀兰,等.基于桥梁健康监测的有限元模型修正研究现状与发展趋势[J].长安大学学报(自然科学版),2014,34(4):52-61.
LIANG Peng,LI Bin,WANG Xiu-lan,et al.Present Research Status and Development Trend of Finite Element Model Updating Based on Bridge Health Monitoring[J].Journal of Chang'an University(Natural Science Edition),2014,34(4):52-61.
[44]王 翔,钟继卫,王 波.桥梁动态挠度图像识别测试技术研究[J].世界桥梁,2015,43(3):59-62.
WANG Xiang,ZHONG Ji-wei,WANG Bo.Study of Bridge Dynamic Deflection Identification and Testing Technique Based on Image Processing[J].World Bridges,2015,43(3):59-62.
[45]苏文明,蒋洪涛,王阳春,等.三维激光扫描和动态挠度图像识别技术在大跨径桥梁线形测量中的应用[J].山东交通科技,2021(2):96-98,115.
SU Wen-ming,JIANG Hong-tao,WANG Yang-chun,et al.Application of 3D Laser Scanning and Dynamic Deflection Image Recognition Technology to Linear Measurement of Long-span Bridges[J].Shandong Jiaotong Keji,2021(2):96-98,115.
[46]骆 义,赵文举,张 建.基于三维激光扫描技术的桥梁检测应用研究[J].智能建筑与智慧城市,2020(3):14-18.
LUO Yi,ZHAO Wen-ju,ZHANG Jian.Application Research of Bridge Detection Based on 3D Laser Scanning Technology[J].Intelligent Building & Smart City,2020(3):14-18.
[47]赖光书.基于机器视觉的桥梁健康状态评估方法研究[D].南京:东南大学,2020.
LAI Guang-shu.Research on the Method of Bridge Health Assessment Based on Machine Vision[D].Nanjing:Southeast University,2020.
[48]孔颖乔.基于非线性标定的桥梁裂缝精确视频测量技术研究[D].上海:上海交通大学,2017.
KONG Ying-qiao.Research on Bridge Crack Measurement System Based on High-precision Calibration[D].Shanghai:Shanghai Jiao Tong University,2017.
[49]彭海涛.基于图像分析技术的混凝土结构外观质量检测与评定[D].长沙:湖南大学,2011.
PENG Hai-tao.Appearance Quality Inspection and Assessment of Concrete Structures Based on Image Analysis[D].Changsha:Hunan University,2011.
[50]许薛军,张肖宁.基于数字图像的混凝土桥梁裂缝检测技术[J].湖南大学学报(自然科学版),2013,40(7):34-40.
XU Xue-jun,ZHANG Xiao-ning.Crack Detection of Concrete Bridges Based Digital Image[J].Journal of Hunan University(Natural Sciences),2013,40(7):34-40.
[51]阮小丽,王 波,荆国强,等.桥梁混凝土结构表面裂缝自动识别技术研究[J].世界桥梁,2017,45(6):55-59.
RUAN Xiao-li,WANG Bo,JING Guo-qiang,et al.Study of Automatic Identification Technology for Surface Cracks in Bridge Concrete Structures[J].World Bridges,2017,45(6):55-59.
[52]TRUONGHONG L,LAEFER D F.Documentation of Bridges by Terrestrial Laser Scanner[C]//IABSE.IABSE Conference Geneva 2015:Structural Engineering:Providing Solutions to Global Challenges.Geneva:IABSE,2015:1-8.
[53]CHEN S Y,LAEFER D F,MANGINA E,et al.UAV Bridge Inspection Through Evaluated 3D Reconstructions[J].Journal of Bridge Engineering,2019,24(4):05019001.
[54]张 旭.基于机敏网的桥梁裂缝监测机理研究[D].重庆:重庆交通大学,2012.
ZHANG Xu.Research on the Mechanism of Bridge Crack Monitoring Based on Smart Film[D].Chongqing:Chongqing Jiaotong University,2012.
[55]徐 勇.混凝土桥梁裂缝开展的机敏网监测方法与应用研究[D].成都:西南交通大学,2013.
XU Yong.Research on Smart Film Monitoring Method for Cracks Development of Concrete Bridge Structure and Its Application[D].Chengdu:Southwest Jiaotong University,2013.
[56]XU Y,ZHOU Z X,ZHANG B N.Application of Bionic Crack Monitoring in Concrete Bridges[J].Journal of Highway and Transportation Research and Development(English Edition),2012,6(3):44-49.
[57]单德山,罗凌峰,李 乔.桥梁健康监测2019年度研究进展[J].土木与环境工程学报(中英文),2020,42(5):115-125.
SHAN De-shan,LUO Ling-feng,LI Qiao.State-of-the-art Review of the Bridge Health Monitoring in 2019[J].Journal of Civil and Environmental Engineering,2020,42(5):115-125.
[58]朱仕村,张宇峰,张立涛,等.面向长大桥梁结构健康监测物联网的云计算[J].现代交通技术,2011,8(1):24-27.
ZHU Shi-cun,ZHANG Yu-feng,ZHANG Li-tao,et al.Cloud Computing Research Based on the Internet of Things for Long-span Bridge Structure Health Monitoring[J].Modern Transportation Technology,2011,8(1):24-27.
[59]王保云.物联网技术研究综述[J].电子测量与仪器学报,2009,23(12):1-7.
WANG Bao-yun.Review on Internet of Things[J].Journal of Electronic Measurement and Instrument,2009,23(12):1-7.
[60]梁惠萍,赵天雨.绳锯机控制器人机界面可用性评估研究[J].机械设计,2021,38(6):133-138.
LIANG Hui-ping,ZHAO Tian-yu.Evaluation Research on Human-machine Interface Usability of Rope Saw Controller[J].Journal of Machine Design,2021,38(6):133-138.
[61]陈 亮.结构健康监测物联网系统的云计算应用研究[D].哈尔滨:哈尔滨工业大学,2013.
CHEN Liang.Study on Application of Cloud Computing in Structural Health Monitoring of Things System[D].Harbin:Harbin Institute of Technology,2013.
[62]张建勋,古志民,郑 超.云计算研究进展综述[J].计算机应用研究,2010,27(2):429-433.
ZHANG Jian-xun,GU Zhi-min,ZHENG Chao.Survey of Research Progress on Cloud Computing[J].Application Research of Computers,2010,27(2):429-433.
[63]涂成枫,刘泽佳,张 舸,等.面向桥梁长期健康监测的大数据处理技术及应用[J].实验力学,2017,32(5):652-663.
TU Cheng-feng,LIU Ze-jia,ZHANG Ge,et al.Processing Technique and Application of Big Data Oriented to Long-term Bridge Health Monitoring[J].Journal of Experimental Mechanics,2017,32(5):652-663.
[64]BROWNJOHN J M W,STEFANO A,XU Y L,et al.Vibration-based Monitoring of Civil Infrastructure:Challenges and Successes[J].Journal of Civil Structural Health Monitoring,2011,1(3/4):79-95.
[65]FAN W,BIFET A.Mining Big Data[J].ACM SIGKDD Explorations Newsletter,2013,14(2):1-5.
[66]孙利民,尚志强,夏 烨.大数据背景下的桥梁结构健康监测研究现状与展望[J].中国公路学报,2019,32(11):1-20.
SUN Li-min,SHANG Zhi-qiang,XIA Ye.Development and Prospect of Bridge Structural Health Monitoring in the Context of Big Data[J].China Journal of Highway and Transport,2019,32(11):1-20.
[67]王崑声,袁建华,陈红涛,等.国外基于模型的系统工程方法研究与实践[J].中国航天,2012(11):52-57.
WANG Kun-sheng,YUAN Jian-hua,CHEN Hong-tao,et al.Research and Practice of Model-based Systems Engineering Method Abroad[J].Aerospace China,2012(11):52-57.
[68]贾晨曦,王林峰.国内基于模型的系统工程面临的挑战及发展建议[J].系统科学学报,2016,24(4):100-104.
JIA Chen-xi,WANG Lin-feng.Challenges and Development Suggestions of the Model Based Systems Engineering in China[J].Chinese Journal of Systems Science,2016,24(4):100-104.
[69]陈红涛,邓昱晨,袁建华,等.基于模型的系统工程的基本原理[J].中国航天,2016(3):18-23.
CHEN Hong-tao,DENG Yu-chen,YUAN Jian-hua,et al.Basic Principles of Model-based Systems Engineering[J].Aerospace China,2016(3):18-23.
[70]张 霖,王昆玉,赖李媛君,等.基于建模仿真的体系工程[J].系统仿真学报,2022,34(2):179-190.
ZHANG Lin,WANG Kun-yu,LAI Li-yuanjun,et al.Modeling & Simulation Based System of Systems Engineering[J].Journal of System Simulation,2022,34(2):179-190.
[71]朱 静,杨 晖,高亚辉,等.基于模型的系统工程概述[J].航空发动机,2016,42(4):12-16.
ZHU Jing,YANG Hui,GAO Ya-hui,et al.Summary of Model Based System Engineering[J].Aeroengine,2016,42(4):12-16.
[72]范松涛,郝海生.基于模型操作系统的航天器数字孪生系统技术研究[J].信息通信技术与政策,2021,47(9):8-15.
FAN Song-tao,HAO Hai-sheng.Research on Spacecraft Digital Twin System Technology Based on Model Operating System[J].Information and Communications Technology and Policy,2021,47(9):8-15.
[73]张 曙.数字线程产品生命周期的数字化[J].现代制造,2018(1):6-7.
ZHANG Shu.Digitization of Digital Thread Product Life Cycle[J].Modern Manufacturing,2018(1):6-7.
[74]袁 勇,王飞跃.区块链技术发展现状与展望[J].自动化学报,2016,42(4):481-494.
YUAN Yong,WANG Fei-yue.Blockchain:The State of the Art and Future Trends[J].Acta Automatica Sinica,2016,42(4):481-494.
[75]谢 辉,王 健.区块链技术及其应用研究[J].信息网络安全,2016(9):192-195.
XIE Hui,WANG Jian.Study on Block Chain Technology and Its Applications[J].Netinfo Security,2016(9):192-195.
[76]沈 鑫,裴庆祺,刘雪峰.区块链技术综述[J].网络与信息安全学报,2016,2(11):11-20.
SHEN Xin,PEI Qing-qi,LIU Xue-feng.Survey of Block Chain[J].Chinese Journal of Network and Information Security,2016,2(11):11-20.
[77]邵奇峰,金澈清,张 召,等.区块链技术:架构及进展[J].计算机学报,2018,41(5):969-988.
SHAO Qi-feng,JIN Che-qing,ZHANG Zhao,et al.Blockchain:Architecture and Research Progress[J].Chinese Journal of Computers,2018,41(5):969-988.
[78]SWAN M.Blockchain:Blueprint for a New Economy[M].Sebastopol:O'Reilly Media,2015.
[79]Antonopoulos A M.Mastering Bitcoin:Unlocking Digital Crypto-currencies[M].Sebastopol:O'Reilly Media,2015.
[80]何 蒲,于 戈,张岩峰,等.区块链技术与应用前瞻综述[J].计算机科学,2017,44(4):1-7,15.
HE Pu,YU Ge,ZHANG Yan-feng,et al.Survey on Blockchain Technology and Its Application Prospect[J].Computer Science,2017,44(4):1-7,15.
[81]陈正斌,殷祥林.桥梁施工虚拟现实技术[J].重庆交通大学学报(自然科学版),2009,28(1):26-28.
CHEN Zheng-bin,YIN Xiang-lin.On Digital Presentation of the Construction Process of Bridges via Virtual Reality Technology[J].Journal of Chongqing Jiaotong University(Natural Science),2009,28(1):26-28.
[82]刘 蕾,鲍小龙,牛超然.虚拟现实技术在桥梁工程中的应用[J].市政技术,2010,28(3):79-81.
LIU Lei,BAO Xiao-long,NIU Chao-ran.Application of Virtual Reality Technique on Bridge Engineering[J].Municipal Engineering Technology,2010,28(3):79-81.
[83]闫兴非,张凯龙,张 彦,等.虚拟现实技术在桥梁工业化建造中的应用[J].中国市政工程,2018(5):1-3,101.
YAN Xing-fei,ZHANG Kai-long,ZHANG Yan,et al.Application of Virtual Reality Technology in Bridge Industrialization Construction[J].China Municipal Engineering,2018(5):1-3,101.
[84]胡帮义.基于数字图像检测和虚拟现实的桥梁施工控制技术研究[D].广州:广州大学,2016.
HU Bang-yi.Study on Bridge Construction Control Based on Digital Image Detection and Virtual Reality Technology[D].Guangzhou:Guangzhou University,2016.
[85]周绪红,刘界鹏,程国忠,等.基于点云数据的大型复杂钢拱桥智能虚拟预拼装方法[J].中国公路学报,2021,34(11):1-9.
ZHOU Xu-hong,LIU Jie-peng,CHENG Guo-zhong,et al.Intelligent Virtual Trial Assembly of Large and Complex Steel Arch Bridges Based on Point Cloud Data[J].China Journal of Highway and Transport,2021,34(11):1-9.
[86]董忠波,李富年,杜荣武.融合虚拟现实技术的桥梁监测系统设计与实现[J].现代电子技术,2019,42(16):44-48.
DONG Zhong-bo,LI Fu-nian,DU Rong-wu.Design and Implementation of Bridge Monitoring System Fusing with Virtual Reality Technology[J].Modern Electronics Technique,2019,42(16):44-48.
[87]ZHANG Z J,LIU Y J,LIU J,et al.Thermo-mechanical Behavior Simulation and Cracking Risk Evaluation on Steel-concrete Composite Girders During Hydration Process[J].Structures,2021,33:3912-3928.
[88]王红飞.多跨连续刚构桥长期下挠特征与机理研究[D].西安:长安大学,2021.
WANG Hong-fei.Study on Long-term Deflection Characteristics and Mechanism of Multi-span Continuous Rigid Frame Bridge[D].Xi'an:Chang'an University,2021.
[89]王 壮,刘永健,唐志伟,等.基于日照阴影识别的桁式拱肋三维温度场模拟方法[J/OL].中国公路学报:1-23[2022-07-06].http://kns.cnki.net/kcms/detail/61.1313.U.20220705.1557.005.html.
WANG Zhuang,LIU Yong-jian,TANG Zhi-wei,et al.Three-dimensional Temperature Field Simulation Method of Truss Arch Rib Based on Sunshine Shadow Recognition[J/OL].Chinese Journal of Highway:1-23[2022-07-06].http://kns.cnki.net/kcms/detail/61.1313.U.20220705.1557.005.html.
[90]刘永健,刘 江,张 宁.桥梁结构日照温度作用研究综述[J].土木工程学报,2019,52(5):59-78.
LIU Yong-jian,LIU Jiang,ZHANG Ning.Review on Solar Thermal Actions of Bridge Structures[J].China Civil Engineering Journal,2019,52(5):59-78.
[91]肖建庄,陈立浩,叶建军,等.混凝土结构拆除技术与绿色化发展[J].建筑科学与工程学报,2019,36(5):1-10.
XIAO Jian-zhuang,CHEN Li-hao,YE Jian-jun,et al.Technology and Green Development of Demolition for Concrete Structures[J].Journal of Architecture and Civil Engineering,2019,36(5):1-10.
[92]赵君黎,李文杰,冯 苠.公路桥梁性能设计与长期性能探讨[C]//陶学康.第十六届全国混凝土及预应力混凝土学术会议暨第十二届预应力学术交流会论文集.九江:中国土木工程学会,2013:13-23.
ZHAO Jun-li,LI Wen-jie,FENG Min.Discussion on Performance Design and Long-term Performance of Highway Bridges[C]//TAO Xue-kang.Proceedings of the 16th National Conference on Concrete and Prestressed Concrete and the 12th Prestressed Academic Exchange Meeting.Jiujiang:China Civil Engineering Society,2013:13-23.

相似文献/References:

备注/Memo

备注/Memo:

收稿日期:2022-03-15
基金项目:陕西省交通运输厅科研项目(21-43K); 中交二公局重点研发课题(2020X-2-6)
作者简介:刘永健(1966-),男,江西玉山人,教授,博士研究生导师,工学博士,E-mail:liuyongjian@chd.edu.cn。

常用功能

更新日期/Last Update: 2022-07-10