Inclusion of Crawl Tests and Long-Term Health Monitoring in Bridge Serviceability Analysis

Due to limited resources, structural health monitoring (SHM) of highway bridges has to be integrated in structural performance assessment in a cost-effective manner. The instrumentation and the long-term SHM procedures are generally chosen with emphasis on most critical bridge components for a particular failure mode. However, global structural analysis is necessary to obtain useful structural performance information. It is then a major challenge to use monitoring data at some locations to perform a structural reliability analysis at other locations. In this paper, a methodology for lifetime serviceability analysis of existing steel girder bridges including crawl tests and long-term monitoring information is presented. The case where the initial goal of monitoring is to provide data for a fatigue analysis of some bridge components is considered. The monitoring results are used to perform a structural reliability analysis of different sections that are critical considering serviceability of the bridge. Limit state equations are used firstly by adhering to the load and strength formulas and requirements set forth in AASHTO specifications, and secondly by integrating monitoring information. Serviceability with respect to permanent deformation under overload is estimated for the girders with these two different methods and a time-dependent performance analysis is conducted by considering corrosion penetration. The proposed approach is applied to the I-39 Northbound Bridge over the Wisconsin River in Wisconsin. A monitoring program of that bridge was performed by the Advanced Technology for Large Structural Systems Center at Lehigh University.

[1]  Bruce R. Ellingwood,et al.  Risk-informed condition assessment of civil infrastructure: state of practice and research issues , 2005 .

[2]  Dan M. Frangopol,et al.  Maintenance Principles for Civil Structures , 2009 .

[3]  Wilson H. Tang,et al.  Probability concepts in engineering planning and design , 1984 .

[4]  Dan M. Frangopol,et al.  Use of monitoring extreme data for the performance prediction of structures: Bayesian updating , 2008 .

[5]  Dan M. Frangopol,et al.  Bridge System Performance Assessment from Structural Health Monitoring: A Case Study , 2009 .

[6]  O. Ditlevsen.  Narrow Reliability Bounds for Structural Systems , 1979 .

[7]  Ahmet Turer,et al.  Structural Identification: Analytical Aspects , 1998 .

[8]  P Albrecht,et al.  Composite Modeling of Atmospheric Corrosion Penetration Data , 1994 .

[9]  Arthur J. Helmicki,et al.  Structural Identification for Condition Assessment: Experimental Arts , 1997 .

[10]  E. J. Gumbel,et al.  Statistics of Extremes. , 1960 .

[11]  Dan M. Frangopol,et al.  Lifetime Multiobjective Optimization of Cost and Spacing of Corrosion Rate Sensors Embedded in a Deteriorating Reinforced Concrete Bridge Deck , 2007 .

[12]  Dan M. Frangopol,et al.  Use of Monitoring Extreme Data for the Performance Prediction of Structures: General Approach , 2008 .

[13]  Dan M. Frangopol,et al.  Maintenance and management of civil infrastructure based on condition, safety, optimization, and life-cycle cost* , 2007 .

[14]  Eugene J. O'Brien,et al.  Calculating an influence line from direct measurements , 2006 .

[15]  Carl A. Bowman,et al.  Results of the Fatigue Evaluation and Field Monitoring of the I-39 Northbound Bridge over the Wisconsin River , 2005 .

[16]  Dan M. Frangopol,et al.  RELSYS: A computer program for structural system reliability , 1998 .

[17]  H. E. Townsend,et al.  Eight-year atmospheric corrosion performance of weathering steel in industrial, rural, and marine environments. Discussion. Author's closure , 1982 .

[18]  Fred Moses,et al.  Weigh-In-Motion System Using Instrumented Bridges , 1979 .

[19]  Dan M. Frangopol,et al.  Bridge Reliability Assessment Based on Monitoring , 2008 .

[20]  Dan M. Frangopol,et al.  Bridge Safety Evaluation Based on Monitored Live Load Effects , 2009 .

[21]  Remis Balaniuk,et al.  Structural identification , 1997, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97.

[22]  Antonino Morassi,et al.  Dynamic Testing for Structural Identification of a Bridge , 2008 .

[23]  Dan M. Frangopol,et al.  Lifetime Performance Analysis of Existing Steel Girder Bridge Superstructures , 2004 .

[24]  Dan M. Frangopol,et al.  Life-cycle cost and performance prediction: Role of structural health monitoring , 2009 .

[25]  T. W. Anderson,et al.  Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes , 1952 .

[26]  Bruce M. Douglas,et al.  DYNAMIC TESTS AND SYSTEM IDENTIFICATION OF BRIDGES , 1982 .