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A multi-level structural assessment strategy for reinforced concrete bridge deck slabs
Chalmers University of Technology, Sweden.
Chalmers University of Technology, Sweden.
RISE - Research Institutes of Sweden, Built Environment, CBI Swedish Cement and Concrete Research Institute. Chalmers University of Technology, Sweden.
Chalmers University of Technology, Sweden.
2017 (English)In: Structure and Infrastructure Engineering, ISSN 1573-2479, E-ISSN 1744-8980, Vol. 13, no 2, p. 223-241Article in journal (Refereed) Published
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Abstract [en]

This paper proposes a multi-level assessment strategy for reinforced concrete bridge deck slabs. The strategy is based on the principle of successively improved evaluation in structural assessment. It provides a structured approach to the use of simplified as well as advanced non-linear analysis methods. Such advanced methods have proven to possess great possibilities of achieving better understanding of the structural response and of revealing higher load-carrying capacity of existing structures. The proposed methods were used for the analysis of previously tested two-way slabs subjected to bending failure and a cantilever slab subjected to a shear type of failure, in both cases loaded with concentrated loads. As expected, the results show that more advanced methods yield an improved understanding of the structural response and are capable of demonstrating higher, yet conservative, predictions of the load-carrying capacity. Nevertheless, the proposed strategy clearly provides the engineering community a framework for using successively improved structural analysis methods for enhanced assessment in a straightforward manner.

Place, publisher, year, edition, pages
Taylor & Francis, 2017. Vol. 13, no 2, p. 223-241
Keywords [en]
bending failure, load-carrying capacity, multi-level assessment, non-linear finite-element analysis, reinforced concrete slabs, shear-type failure
National Category
Building Technologies Infrastructure Engineering
Identifiers
URN: urn:nbn:se:ri:diva-384DOI: 10.1080/15732479.2016.1162177Scopus ID: 2-s2.0-84963575895OAI: oai:DiVA.org:ri-384DiVA, id: diva2:939559
Available from: 2016-06-20 Created: 2016-06-20 Last updated: 2018-02-26Bibliographically approved

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