Current position: Home >> Scientific Research >> Paper Publications

Reliability-based assessment of steel bridge deck using a mesh-insensitive structural stress method

Release Time:2019-03-09  Hits:

Indexed by: Journal Papers

Date of Publication: 2015-08-01

Journal: SMART STRUCTURES AND SYSTEMS

Included Journals: Scopus、SCIE

Volume: 16

Issue: 2

Page Number: 367-382

ISSN: 1738-1584

Key Words: orthotropic steel bridge deck; welded joints; hot spot stress; finite element analysis; reliability index; failure probability

Abstract: This paper aims to conduct the reliability-based assessment of the welded joint in the orthotropic steel bridge deck by use of a mesh-insensitive structural stress (MISS) method, which is an effective numerical procedure to determine the reliable stress distribution adjacent to the weld toe. Both the solid element model and the shell element model are first established to investigate the sensitivity of the element size and the element type in calculating the structural stress under different loading scenarios. In order to achieve realistic condition assessment of the welded joint, the probabilistic approach based on the structural reliability theory is adopted to derive the reliability index and the failure probability by taking into account the uncertainties inherent in the material properties and load conditions. The limit state function is formulated in terms of the structural resistance of the material and the load effect which is described by the structural stress obtained by the MISS method. The reliability index is computed by use of the first-order reliability method (FORM), and compared with a target reliability index to facilitate the safety assessment. The results achieved from this study reveal that the calculation of the structural stress using the MISS method is insensitive to the element size and the element type, and the obtained structural stress results serve as a reliable basis for structural reliability analysis.

Prev One:大跨斜拱桥结构健康监测系统的设计与开发

Next One:Optimal sensor placement under uncertainties using a nondirective movement glowworm swarm optimization algorithm