Publication detail

Advanced semi-probabilistic methods for the design and assessment of concrete tunnel linings

SPYRIDIS, P. NOVÁK, L. NOVÁK, D. BERGMEISTER, K.

Original Title

Advanced semi-probabilistic methods for the design and assessment of concrete tunnel linings

Type

conference paper

Language

English

Original Abstract

Tunnel design is a complex complicated task since it is strongly associated with a great number of load and material uncertainties. Moreover, modelling the soil-structure interaction multiplies the complexity and non-linearity of tunnel engineering problems. Finite Element (FE) stochastic modelling has proven to be a very efficient tool in dealing with such uncertainties. Capturing uncertainties, though, which allows for a more realistic and pragmatic design decision aid, requires probabilistic approaches. The only general tool for probabilistic analysis is represented by Monte Carlo simulation (MC), simulating uncertainties with their complete probability distribution and statistical correlation. The complexity of the FE models renders then such a procedure virtually impossible. The computational burden of MC represents the main obstacle to the approach for time-consuming FE computational models since it is not computationally feasible for industrial applications. Consideration of uncertainties, therefore, remains usually at the level of partial safety factors, the approach which is in most cases on the very conservative side. That is why alternative techniques of so-called safety formats are becoming more and more attractive recently. Methods focused on the Estimation of Coefficient of Variation (ECoV) of structural resistance have been developed and applied recently mainly for concrete structures like bridges. They represent a compromise between the simple and in most cases conservative approach of partial safety factors and highly computationally demanding MC. The paper shows the possibility of application of these methods for tunnels. Selected efficient semi-probabilistic methods based on the ECoV method according to fib Model Code 2010, an improved approach called Eigen ECoV, Taylor Series Expansion and numerical quadrature proposed by Rosenblueth are compared.

Keywords

Concretes; Decision support systems; Intelligent systems; Monte Carlo methods; Numerical methods; Safety factor; Soil structure interactions; Stochastic systems; Structural design; Tunnel linings; Uncertainty analysis

Authors

SPYRIDIS, P.; NOVÁK, L.; NOVÁK, D.; BERGMEISTER, K.

Released

12. 5. 2023

Publisher

CRC Press/Balkema

Location

USA

ISBN

9781003348030

Book

Expanding Underground. Knowledge and Passion to Make a Positive Impact on the World

Pages from

976

Pages to

984

Pages count

9

URL

https://wtc2023.gr/wp-content/uploads/2023/05/WTC-2023-Abstract-Book-1.pdf

BibTex

@inproceedings{BUT187082,
  author="SPYRIDIS, P. and NOVÁK, L. and NOVÁK, D. and BERGMEISTER, K.",
  title="Advanced semi-probabilistic methods for the design and assessment of concrete tunnel linings",
  booktitle="Expanding Underground. Knowledge and Passion to Make a Positive Impact on the World",
  year="2023",
  pages="976--984",
  publisher="CRC Press/Balkema",
  address="USA",
  doi="10.1201/9781003348030-117",
  isbn="9781003348030",
  url="https://wtc2023.gr/wp-content/uploads/2023/05/WTC-2023-Abstract-Book-1.pdf"
}