Experimental validation of a non-linear train-track-bridge dynamic model of a stone arch railway bridge under freight traffic

• Type: Article in International Scientific Journal
• Date: 2022-10-11

Authors

Rúben Silva (Author) Other; Diogo Ribeiro (Author) FEUP; Cristina Costa (Author) Other; António Arêde (Author) FEUP; Rui Calçada (Author) FEUP

Journal

Title: International Journal of Rail Transportation

Pages: 1-32

ISSN: 2324-8378

Publisher: Taylor & Francis

Indexing

ISI Web of Knowledge - 0 Citations

ISI Web of Science

Scopus

Scientific classification

FOS: Engineering and technology > Civil engineering

CORDIS: Technological sciences > Engineering > Civil engineering > Structural engineering

Other information

Authenticus ID: P-00X-ACF

DOI: 10.1080/23248378.2022.2133783

Subject: Experimental validation of a non-linear train-track- bridge dynamic model of a stone arch railway bridge under freight traffic

Abstract (EN): This article presents the validation of a non-linear FE numerical model of a multi-span stone arch railway bridge based on experimental tests and under in-service freight trains. Static loading tests allow evaluating the bridge response in terms of vertical displacements in the arches, opening/closure deformations on specific block joints of the arches, and vertical compressive stress variations in the piers. The bridge FE model is developed by combining the potentialities of a global continuous homogeneous model, based on FEM and Drucker-Prager model, and a local modelling approach based on a dedicated non-linear contact model. The freight vehicle modelling is based on a flexible FE approach, and the validation of the dynamic behaviour of the train-bridge system involved the comparison between numerical and experimental responses. All the numerical responses are in very good agreement with the experimental responses. Finally, a simulation of the dynamic behaviour of the train-bridge system is performed for realistic scenarios of freight traffic considering speeds between 40 and 140 km/h.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 32