Evaluation of Load Rating and System Reliability of Movable Bridge

    Authors

    H. B. Gokce; F. N. Catbas;D. M. Frangopol

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Transp. Res. Record

    Keywords

    MONITORING EXTREME DATA; PERFORMANCE PREDICTION; MANAGEMENT; MAINTENANCE; COST; Engineering, Civil; Transportation; Transportation Science & Technology

    Abstract

    Structural health monitoring (SHM) techniques can provide effective complementary means for the current bridge management system by reducing the uncertainty and by seamlessly integrating with state-of-the-art data management and Internet-based communication systems through information technology. However, SUM applications and studies do not fully exploit either statistical analysis of the collected data or structural reliability on the basis of sensor information. These additions can greatly enhance SHM to allow for more accurate and efficient data analysis, to predict future conditions, and to minimize life-cycle cost. An analytical simulation was set up with a field-validated finite element model (FEM) of an existing movable bridge to demonstrate how component and system reliability analysis can be performed. The validation of the FEM was performed with the use of the monitoring data from the bridge balance tests as well as a load test with a specialized truck. The validated model was then analyzed to estimate the load rating and reliability of the system when the model was loaded under HL-93 load (lane load and moving design truck). The load rating at critical locations and bridge system reliability as a function of truck location are presented.

    Journal Title

    Transportation Research Record

    Issue/Number

    2251

    Publication Date

    1-1-2011

    Document Type

    Article

    Language

    English

    First Page

    114

    Last Page

    122

    WOS Identifier

    WOS:000300654900013

    ISSN

    0361-1981

    Share

    COinS