Publication result detail

Taylor Series Expansion for Statistical Analysis of Existing Concrete Bridge

NOVÁK, L.; NOVÁK, D.

Original Title

Taylor Series Expansion for Statistical Analysis of Existing Concrete Bridge

English Title

Taylor Series Expansion for Statistical Analysis of Existing Concrete Bridge

Type

Paper in proceedings (conference paper)

Original Abstract

The paper is focused on semi-probabilistic assessment of existing prestressed concrete bridge using Taylor series expansion. Probabilistic assessment of existing structures represented by non-linear finite element models is computationally highly demanding and thus semi-probabilistic approach gets a growing attention in a recent decade. In semi-probabilistic approach, design value of resistance is estimated in a simplified way. For estimation of design value, it is crucial to estimate coefficient of variation of structural resistance with limited number of simulations. In this paper, recently proposed Taylor series expansion with adapted differentiation is employed and obtained results are compared to a reference solution obtained by latin hypercube sampling. Practical example is represented by an existing bridge structure failing in bending. It can be seen that results obtained by Taylor series expansion are in good agreement with reference solution but its efficiency is significantly higher. Moreover, it is shown that an accuracy of estimated variance can be easily improved by few additional samples in specific coordinates.

English abstract

The paper is focused on semi-probabilistic assessment of existing prestressed concrete bridge using Taylor series expansion. Probabilistic assessment of existing structures represented by non-linear finite element models is computationally highly demanding and thus semi-probabilistic approach gets a growing attention in a recent decade. In semi-probabilistic approach, design value of resistance is estimated in a simplified way. For estimation of design value, it is crucial to estimate coefficient of variation of structural resistance with limited number of simulations. In this paper, recently proposed Taylor series expansion with adapted differentiation is employed and obtained results are compared to a reference solution obtained by latin hypercube sampling. Practical example is represented by an existing bridge structure failing in bending. It can be seen that results obtained by Taylor series expansion are in good agreement with reference solution but its efficiency is significantly higher. Moreover, it is shown that an accuracy of estimated variance can be easily improved by few additional samples in specific coordinates.

Keywords

Concrete bridges; Estimation of coefficient of variation; Semi-probabilistic analysis; Taylor series expansion

Key words in English

Concrete bridges; Estimation of coefficient of variation; Semi-probabilistic analysis; Taylor series expansion

Authors

NOVÁK, L.; NOVÁK, D.

RIV year

2022

Released

29.08.2021

Publisher

Springer Science and Business Media Deutschland GmbH

ISBN

9783030918767

Book

Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures

ISBN

2366-2557

Periodical

Lecture Notes in Civil Engineering

State

Swiss Confederation

Pages from

228

Pages to

235

Pages count

8

BibTex

@inproceedings{BUT176909,
  author="Lukáš {Novák} and Drahomír {Novák}",
  title="Taylor Series Expansion for Statistical Analysis of Existing Concrete Bridge",
  booktitle="Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures",
  year="2021",
  journal="Lecture Notes in Civil Engineering",
  pages="228--235",
  publisher="Springer Science and Business Media Deutschland GmbH",
  doi="10.1007/978-3-030-91877-4\{_}27",
  isbn="9783030918767",
  issn="2366-2557"
}