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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2009

Autores

Wisniewski, D (Autor) Outra; Casas, JR (Autor) Outra; Henriques, AA (Autor) FEUP; Cruz, PJS (Autor) Outra

Revista

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

Vol. 19 Nº 2

Páginas: 203-210

ISSN: 1016-8664

Editora: International Association for Bridge and Structural Engineering

Indexação

ISI Web of Knowledge

Scopus - 7 Citações

INSPEC

COMPENDEX

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8