Publication detail

Uncertainty quantification in the strain response of prestressed reinforced concrete structures using fractile based sampling

WANG, X. STRAUSS, A. RANDL, N. BOCCHINI, P.

Original Title

Uncertainty quantification in the strain response of prestressed reinforced concrete structures using fractile based sampling

Type

journal article in Web of Science

Language

English

Original Abstract

The probabilistic evaluation of the capacity and response of structural systems is often done by probabilistic simulation. This approach relies on a considerable number of deterministic analyses to obtain an accurate estimation of the desired statistical characteristics. However, the need of performing a large number of analyses hinders the application of probabilistic simulation in practice, especially when the deterministic calculation of the structural response is computationally expensive in itself (e.g. nonlinear finite element analysis). To increase the appeal of probabilistic simulation, the number of analyses should be very small (i.e. ten or less). This study shows how different sampling techniques can be adopted to select a very small sample subset of analyses to be run, and how they can yield accurate results in estimating the shear capacity of prestressed reinforced concrete beams. Based on the results of the study, the Fractile Based Sampling (FBS) method emerges as a more promising sampling strategy than other sampling techniques, like Latin Hypercube Sampling (LHS). For the same small number of samples, the results show that FBS is preferable over LHS and other sampling techniques for capturing both the general distribution of the response and the tails of the distribution, which shows its usefulness in assessing probability of failure and reliability.

Keywords

Fractile based sampling; Latin hypercube sampling; nonlinear deterministic modelling; prestressed concrete beams; probability assessment; sampling strategy; shear capacity; structural reliability

Authors

WANG, X.; STRAUSS, A.; RANDL, N.; BOCCHINI, P.

Released

9. 1. 2024

Publisher

TAYLOR & FRANCIS LTD

Location

ABINGDON

ISBN

1744-8980

Periodical

Structure & Infrastructure Engineering - Online

Year of study

20

Number

5

State

United Kingdom of Great Britain and Northern Ireland

Pages from

771

Pages to

789

Pages count

19

URL

https://www.tandfonline.com/doi/full/10.1080/15732479.2023.2300072

BibTex

@article{BUT188026,
  author="Xingjian {Wang} and Alfred {Strauss} and Norbert {Randl} and Paolo {Bocchini}",
  title="Uncertainty quantification in the strain response of prestressed reinforced concrete structures using fractile based sampling",
  journal="Structure & Infrastructure Engineering - Online",
  year="2024",
  volume="20",
  number="5",
  pages="771--789",
  doi="10.1080/15732479.2023.2300072",
  issn="1744-8980",
  url="https://www.tandfonline.com/doi/full/10.1080/15732479.2023.2300072"
}