Stochastic analysis of railway embankment with uncertain soil parameters using polynomial chaos expansion

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Pedro Alves Costa (Author) FEUP; Araliya Mosleh (Author) FEUP; Razzaghi, Mehran (Author) Other; Mohammadi, Mohammadreza (Author) Other; Rui Calçada (Author) FEUP

Journal

Title: Structure and Infrastructure Engineering

Pages: 1-20

ISSN: 1573-2479

Publisher: Taylor & Francis

Indexing

ISI Web of Knowledge - 9 Citations

ISI Web of Science

Scopus - 7 Citations

Other information

Authenticus ID: P-00W-310

DOI: 10.1080/15732479.2022.2033277

Abstract (EN): This paper focuses on the stochastic response of railway embankments considering the uncertainties in soil cohesion and friction angle. The non-sampling stochastic method concerning generalised polynomial chaos (gPC) expansion was employed for the dynamic numerical simulation. The uncertain parameters, including soil cohesion and friction angle, were defined by the truncated gPC expansions. Furthermore, the system's response, namely, the displacement and acceleration of different embankment sections, was presented by the gPC expansion with unknown deterministic coefficients. The stochastic Galerkin projection was used to calculate a set of deterministic equations. The unknown gPC coefficients of the system's response were determined by a non-intrusive solution as a set of collocation points. In addition, the results of these analyses were compared with classical Monte Carlo simulations. It is essential to note that although only a few collocation points have been used, the results are in good agreement with the MC sampling method. One of the main objectives of this study is to demonstrate the accuracy of the results and the time efficiency of the proposed non-sampling method in quantifying the uncertainty of stochastic systems compared to the sampling procedure (e.g. Monte Carlo simulation).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 20