Investigation of dynamic properties of long-span cable-stayed bridges based on one-year monitoring data under normal operating condition

被引:167
作者
Mao, Jian-Xiao [1 ]
Wang, Hao [1 ]
Feng, Dong-Ming [2 ]
Tao, Tian-You [1 ]
Zheng, Wen-Zhi [1 ]
机构
[1] Southeast Univ, Key Lab C&PC Struct, Minist Educ, 2 Sipailou, Nanjing 210096, Jiangsu, Peoples R China
[2] Columbia Univ, Dept Civil Engn & Engn Mech, New York, NY 10027 USA
基金
中国国家自然科学基金;
关键词
acceleration; cable-stayed bridge; dynamic property; strain; temperature; one-year monitoring; VARYING ENVIRONMENTAL-CONDITIONS; MODAL PARAMETER-IDENTIFICATION; STRUCTURAL DAMAGE DIAGNOSIS; SUSPENSION BRIDGE; PART I; TEMPERATURE; SYSTEM; VARIABILITY; TECHNOLOGY; WAVELET;
D O I
10.1002/stc.2146
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Environmental factors, such as temperature, traffic, and wind, play an important role on the variations of dynamic properties of long-span cable-stayed bridges. The dynamic characteristics of Sutong Cable-Stayed Bridge (SCB), including acceleration and strain responses as well as modal frequencies, are investigated using one-year continuous monitoring data under operating conditions by the structural health monitoring system. The in situ wind characteristics and structural temperature behavior of SCB are also analyzed. More than 99% of the wind speed values are smaller than 16m/s; and the largest temperature variation of the main girder exceeds 60 degrees C. Besides, acceleration and strain, root mean square (RMS) data are both normalized using the Z-score standardization method. Relation analysis between the normalized acceleration and strain RMS values is conducted based on the time-history comparison and linear least square fitting. Results show that both of the processed acceleration and strain RMS values could properly describe the variation trend of the traffic load, although variation amplitudes of the two normalized parameters differ from each other. In addition, one-year continuous modal frequencies of SCB are identified using Hilbert-Huang transform method. Variability analysis of the structural modal frequencies due to environmental temperature and operational traffics is then conducted. Results show that temperature is the most important environmental factor for vertical and torsional modal frequencies. The traffic load is the second critical factor especially for the fundamental vertical frequency of SCB. Research results could provide references for damage detection and safety evaluation for similar long-span cable-stayed bridges.
引用
收藏
页数:19
相关论文
共 58 条
[21]   Analysis on Characteristics of Traffic Demand about SuTong Bridge [J].
Jiang Chenming ;
Lu Jian ;
Jiang Yuming ;
Cai Xiaonan ;
Peng Chunlu .
INTELLIGENT AND INTEGRATED SUSTAINABLE MULTIMODAL TRANSPORTATION SYSTEMS PROCEEDINGS FROM THE 13TH COTA INTERNATIONAL CONFERENCE OF TRANSPORTATION PROFESSIONALS (CICTP2013), 2013, 96 :2553-2562
[22]   Wind-induced effects on bluff bodies in turbulent flows: Nonstationary, non-Gaussian and nonlinear features [J].
Kareem, Ahsan ;
Wu, Teng .
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2013, 122 :21-37
[23]   OPTIMAL PEAK-LOAD PRICING, INVESTMENT, AND SERVICE LEVELS ON URBAN EXPRESSWAYS [J].
KEELER, TE ;
SMALL, KA .
JOURNAL OF POLITICAL ECONOMY, 1977, 85 (01) :1-25
[24]   Integration of Structural Health Monitoring and Intelligent Transportation Systems for Bridge Condition Assessment: Current Status and Future Direction [J].
Khan, Sakib Mahmud ;
Atamturktur, Sez ;
Chowdhury, Mashrur ;
Rahman, Mizanur .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 17 (08) :2107-2122
[25]   Technology developments in structural health monitoring of large-scale bridges [J].
Ko, JM ;
Ni, YQ .
ENGINEERING STRUCTURES, 2005, 27 (12) :1715-1725
[26]   Structural health monitoring of innovative civil engineering structures in Mainland China [J].
Li, Hong-Nan ;
Li, Dong-Sheng ;
Ren, Liang ;
Yi, Ting-Hua ;
Jia, Zi-Guang ;
Li, Kun-Peng .
STRUCTURAL MONITORING AND MAINTENANCE, 2016, 3 (01) :1-32
[27]   Modal identification of bridges under varying environmental conditions: Temperature and wind effects [J].
Li, Hui ;
Li, Shunlong ;
Ou, Jinping ;
Li, Hongwei .
STRUCTURAL CONTROL & HEALTH MONITORING, 2010, 17 (05) :495-512
[28]   Fatigue analysis and life prediction of bridges with structural health monitoring data - Part I: methodology and strategy [J].
Li, ZX ;
Chan, THT ;
Ko, JM .
INTERNATIONAL JOURNAL OF FATIGUE, 2001, 23 (01) :45-53
[29]   Variability analysis on modal parameters of Runyang Bridge during Typhoon Masta [J].
Mao, Jian-Xiao ;
Wang, Hao ;
Xun, Zhi-Xiang ;
Zou, Zhong-Qin .
SMART STRUCTURES AND SYSTEMS, 2017, 19 (06) :653-663
[30]  
Ministry of Transport of the People's Republic of China (MTPRC), 2015, GEN SPEC DES HIGHW B