Probability-based assessment of existing concrete bridges-stochastic resistance models and applications

• Type: Article in International Scientific Journal
• Date: 2009

Authors

Wisniewski, D (Author) Other; Casas, JR (Author) Other; Henriques, AA (Author) FEUP; Cruz, PJS (Author) Other

Journal

Title: Structural Engineering International: Journal of the International Association for Bridge and Structural Engineering (IABSE)

Vol. 19 No. 2

Pages: 203-210

ISSN: 1016-8664

Publisher: International Association for Bridge and Structural Engineering

Indexing

ISI Web of Knowledge

Scopus - 7 Citations

INSPEC

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Other information

Authenticus ID: P-007-QCC

DOI: 10.2749/101686609788220268

Resumo (PT): This paper presents newly established probabilistic models of ultimate shear and bending resistance of typical reinforced and prestressed concrete bridge cross-sections. These new models were developed using advanced analysis methods and the most recent data regarding variability in mechanical properties of material and cross-section geometry. The models also take into account the uncertainty related to the inaccuracy of the analysis method used to evaluate member resistance. In the second part of the paper some of the developed models are applied to the probability based assessment of an existing prestressed concrete highway bridge that fails the traditional load capacity assessment performed using a standard partial safety factor method. The presented calculations clearly show the benefits of using the probabilistic methods in the assessment of existing bridges and demonstrate how straightforward the reliability analysis can become when the presented models are used.

Abstract (EN): This paper presents newly established probabilistic models of ultimate shear and bending resistance of typical reinforced concrete (RC) and prestressed concrete (PC) bridge cross-sections. These new models were developed using advanced analysis methods and the most recent data regarding variability in mechanical properties of material and cross-section geometry. The models also take into account the uncertainty related to the inaccuracy of the analysis method used to evaluate member resistance. In the second part of the paper, some of the developed models are applied to the probability-based assessment of an existing PC highway bridge that fails the traditional load capacity assessment performed using a standard partial safety factor method. The presented calculations clearly show the benefits of using the probabilistic methods in the assessment of existing bridges and demonstrate how straightforward the reliability analysis can become when the presented models are used.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8