Structural health monitoring and reliability estimation: Long span truss bridge application with environmental monitoring data

    Authors

    F. N. Catbas; M. Susoy;D. M. Frangopol

    Comments

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    Abbreviated Journal Title

    Eng. Struct.

    Keywords

    structural health monitoring (SHM); reliability; long span bridge; finite element analysis; CIVIL INFRASTRUCTURE; ISSUES; MANAGEMENT; DESIGN; Engineering, Civil

    Abstract

    The main objective of this study is to present the reliability estimation studies for the main truss components as well as the entire structural system of along span truss bridge which is the longest in its category in the USA. It is possible to assess the safety level of along span bridge by using a probabilistic approach in terms of its component and system reliability indices. However, most of the older long span bridges were designed based on allowable stress design and it is not possible to quantify their reliability. The reliability analysis in this study is based on the distributions estimated for dead, live and wind loads. The bridge was also subjected to long term structural health monitoring where large amount of input and response data have been collected. Analysis of the long term monitoring data revealed distinct structural behavior in terms of patterns and magnitudes under various external loading effects. As an example, it is shown that the structural responses due to temperature are not very easy to conceptualize and subsequently model using conventional analysis methods. In order to explore the effects of temperature on the structure and to include the long term monitoring data in reliability estimation, temperature-induced responses are also incorporated in the analysis. It is seen that the responses due to temperature have a significant effect on the overall system reliability. (C) 2008 Elsevier Ltd. All rights reserved.

    Journal Title

    Engineering Structures

    Volume

    30

    Issue/Number

    9

    Publication Date

    1-1-2008

    Document Type

    Article

    Language

    English

    First Page

    2347

    Last Page

    2359

    WOS Identifier

    WOS:000259631200008

    ISSN

    0141-0296

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