Series of Full-Scale Field Vibration Tests and Bayesian Modal Identification of a Pedestrian Bridge

被引:24
作者
Ni, Y. C. [1 ]
Zhang, F. L. [1 ]
Lam, H. F. [2 ]
机构
[1] Tongji Univ, Res Inst Struct Engn & Disaster Reduct, Coll Civil Engn, Shanghai 200092, Peoples R China
[2] City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Pedestrian bridge; Field vibration tests; Modal identification; Bayesian; Posterior uncertainty; FUNDAMENTAL 2-STAGE FORMULATION; II-POSTERIOR UNCERTAINTY; SYSTEM-IDENTIFICATION; AMBIENT VIBRATION; FREQUENCY-DOMAIN; PART I; PARAMETER-IDENTIFICATION; TALL BUILDINGS; PROBABLE VALUE; FFT METHOD;
D O I
10.1061/(ASCE)BE.1943-5592.0000857
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Many spectacular pedestrian bridges were designed and constructed recently. Owing to their special shapes, it is expected that various types and a wide range of vibration frequency components will be induced by pedestrians. To avoid accidents and reduce risk, the vibration characteristics of pedestrian bridges during their service life must be carefully assessed. The most direct and reliable way to study the vibration characteristics of a structural system is through field vibration tests. In this paper, a series of full-scale field vibration tests (including ambient, forced, and free vibration tests) were carried out on a pedestrian bridge at City University of Hong Kong (CityU). The difficulties encountered in the field tests are reported. The recently developed Bayesian methods were utilized to determine the modal parameters of the bridge based on measurements from all three kinds of tests. In addition to the most probable values (MPVs) of modal parameters, the associated posterior uncertainties were also analytically calculated. Four modes were identified, including three vertical bending modes and one torsional mode. The accuracy of the identified modal parameters was assessed through the posterior uncertainty. Because the amplitudes of the vibration in the three kinds of tests were different, the modal parameters determined from these kinds of tests were compared and discussed. Suggestions related to the proper use and potential vibration problems during the lifecycle of pedestrian bridges were provided based on the analysis results.
引用
收藏
页数:18
相关论文
共 52 条
[1]   Effects of testing, analysis, damage, and environment on modal parameters [J].
Alampalli, S .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2000, 14 (01) :63-74
[2]   Output-Only System Identification of Posttensioned Segmental Concrete Highway Bridges [J].
Altunisik, Ahmet Can ;
Bayraktar, Alemdar ;
Sevim, Baris .
JOURNAL OF BRIDGE ENGINEERING, 2011, 16 (02) :259-266
[3]  
Au S., 2005, International Journal of Applied Mathematics and Mechanics, V1, P55
[4]   Fundamental two-stage formulation for Bayesian system identification, Part I: General theory [J].
Au, Siu-Kui ;
Zhang, Feng-Liang .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2016, 66-67 :31-42
[5]   Fast Bayesian modal identification of structures using known single-input forced vibration data [J].
Au, Siu-Kui ;
Ni, Yan-Chun .
STRUCTURAL CONTROL & HEALTH MONITORING, 2014, 21 (03) :381-402
[6]   Bayesian operational modal analysis: Theory, computation, practice [J].
Au, Siu-Kui ;
Zhang, Feng-Liang ;
Ni, Yan-Chun .
COMPUTERS & STRUCTURES, 2013, 126 :3-14
[7]   Ambient modal identification of a primary-secondary structure by Fast Bayesian FFT method [J].
Au, Siu-Kui ;
Zhang, Feng-Liang .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2012, 28 :280-296
[8]   Field observations on modal properties of two tall buildings under strong wind [J].
Au, Siu-Kui ;
Zhang, Feng-Liang ;
To, Ping .
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2012, 101 :12-23
[9]   Fast Bayesian ambient modal identification in the frequency domain, Part I: Posterior most probable value [J].
Au, Siu-Kui .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2012, 26 :60-75
[10]   Fast Bayesian ambient modal identification in the frequency domain, Part II: Posterior uncertainty [J].
Au, Siu-Kui .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2012, 26 :76-90