Publication detail

Probabilistic Simulation of the Mechanical Response of a Pre-Stressed Railway Sleeper: Initiation and Propagation of Cracks During Static Test

ŘOUTIL, L. VESELÝ, V. KERŠNER, Z.

Original Title

Probabilistic Simulation of the Mechanical Response of a Pre-Stressed Railway Sleeper: Initiation and Propagation of Cracks During Static Test

Type

conference paper

Language

English

Original Abstract

The paper deals with the mechanical response of a pre-stressed railway sleeper during a standardized static loading test - estimations of the variability of the sleepers response and especially the probabilities of the occurrence of cracks of specific widths at specific load levels (as a consequence of random concrete parameters) based on the results of (3D) numerical models are presented. The paper follows on from and extends previous results obtained by the authors research team in cooperation with specialists from the sleeper manufacturing company ZPSV a. s.

Keywords

pre-stressed railway sleepers, static test, FE modelling, crack width, statistical analysis, probability analysis

Authors

ŘOUTIL, L.; VESELÝ, V.; KERŠNER, Z.

RIV year

2014

Released

24. 6. 2014

Publisher

Trans Tech Publications

Location

Switzerland

ISBN

978-3-03835-147-4

Book

Advanced Materials Research

ISBN

1662-8985

Periodical

Advanced Materials Research (online)

Year of study

969

Number

06

State

Swiss Confederation

Pages from

298

Pages to

301

Pages count

4

BibTex

@inproceedings{BUT108819,
  author="Ladislav {Řoutil} and Václav {Veselý} and Zbyněk {Keršner}",
  title="Probabilistic Simulation of the Mechanical Response of a Pre-Stressed Railway Sleeper: Initiation and Propagation of Cracks During Static Test",
  booktitle="Advanced Materials Research",
  year="2014",
  journal="Advanced Materials Research
 (online)",
  volume="969",
  number="06",
  pages="298--301",
  publisher="Trans Tech Publications",
  address="Switzerland",
  doi="10.4028/www.scientific.net/AMR.969.298",
  isbn="978-3-03835-147-4",
  issn="1662-8985"
}