Probabilistic numerical evaluation of dynamic load allowance factors in steel modular bridges using a vehicle-bridge interaction model

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Pedro Aires Montenegro (Author) FEUP; José M. Castro (Author) FEUP; Rui Calçada (Author) FEUP; José M. Soares (Author) Other; Hugo Coelho (Author) Other; Pedro Álvares Pacheco (Author) Other

Journal

Title: Engineering Structures

Vol. 226

Pages: 1-19

ISSN: 0141-0296

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 22 Citations

Scopus - 24 Citations

Other information

Authenticus ID: P-00S-TZQ

DOI: 10.1016/j.engstruct.2020.111316

Abstract (EN): A reliable evaluation of dynamic amplification effects is crucial in bridge design in order to achieve safer and economical solutions. In engineering practice, these effects are commonly taken into account through dynamic load allowance factors (IM) specified by the codes. However, some codes allow the calculation of these IM factors through more advanced dynamic analysis in order to achieve more realistic results. Therefore, a methodology to numerically evaluate the IM in bridges is described. The methodology is based on a vehicle-bridge interaction model that can take into account any configuration of pavement irregularities. A case study consisting of two modular steel bridges is presented. In order to reach a comprehensive characterization of the IM factors, a probabilistic analysis is conducted, taking into consideration the stochastic generation of random irregularity profiles based on pavement roughness and experimentally measured manufacturing imperfections, as well as a wide range of vehicle speeds. The results obtained in this study demonstrate the advantages of performing a probabilistic numerical evaluation of the IM factor in comparison to the use of pre-defined factors proposed by design codes. The consideration of IM factors based on probabilistic assessments can lead to relevant material savings in the design of steel modular bridges.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 19