Performance-based durability design of concrete structures under uncertainty

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Original languageEnglish
Title of host publicationProceedings of the 29th European Safety and Reliability Conference, ESREL 2019
EditorsMichael Beer, Enrico Zio
Pages3209-3216
Number of pages8
ISBN (electronic)9789811127243
Publication statusPublished - 2020
Event29th European Safety and Reliability Conference, ESREL 2019 - Leibniz University Hannover, Hannover, Germany
Duration: 22 Sept 201926 Sept 2019

Abstract

Due to limitations of the current prescriptive design approach for concrete durability, performance-based durability design of concrete structures is increasingly gaining in importance. Performance-based design approaches allow a quantitative estimation of durability by taking into account the degradation processes caused by environmental loads as well as material properties, including their alteration in time and their variability. In order to address uncertainties associated with environmental loads and material properties, these approaches are usually based on a reliability analysis, in which uncertainties are handled by probabilistic modeling. However, since available information is sometimes limited (epistemic uncertainty), the appropriate probabilistic characterization of model parameters can be challenging or even impossible. In theses cases, imprecise probabilities provide an opportunity to consider epistemic uncertainty along with aleatory uncertainty (inherent randomness). Based on the theory of imprecise probabilities, this paper aims to study the role of epistemic uncertainty in durability design of concrete structures. In this context, the emphasis is on concrete structures in acidic environments corresponding to a chemical attack of the structure. By means of an illustrative example, the common reliability analysis based on probabilistic models is compared with probability bound analysis with probability boxes. The results indicate the great influence of epistemic uncertainty when available data and information are limited. Furthermore, it is shown that the determination of probabilistic models on ambiguous assumption can lead to false reliability estimates. Therefore, epistemic uncertainty should explicitly be taken into account if, due to the limited availability of data, probabilistic models cannot fully be determined.

Keywords

    Chemical attack, Concrete structures, Durability design, Imprecise probabilities, Probability boxes, Reliability

ASJC Scopus subject areas

Cite this

Performance-based durability design of concrete structures under uncertainty. / Gerlach, Jesko; Lohaus, Ludger; Haist, Michael.
Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. ed. / Michael Beer; Enrico Zio. 2020. p. 3209-3216.

Research output: Chapter in book/report/conference proceedingConference contributionResearch

Gerlach, J, Lohaus, L & Haist, M 2020, Performance-based durability design of concrete structures under uncertainty. in M Beer & E Zio (eds), Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. pp. 3209-3216, 29th European Safety and Reliability Conference, ESREL 2019, Hannover, Germany, 22 Sept 2019. https://doi.org/10.3850/978-981-11-2724-3_0918-cd
Gerlach, J., Lohaus, L., & Haist, M. (2020). Performance-based durability design of concrete structures under uncertainty. In M. Beer, & E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 3209-3216) https://doi.org/10.3850/978-981-11-2724-3_0918-cd
Gerlach J, Lohaus L, Haist M. Performance-based durability design of concrete structures under uncertainty. In Beer M, Zio E, editors, Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. 2020. p. 3209-3216 doi: 10.3850/978-981-11-2724-3_0918-cd
Gerlach, Jesko ; Lohaus, Ludger ; Haist, Michael. / Performance-based durability design of concrete structures under uncertainty. Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. editor / Michael Beer ; Enrico Zio. 2020. pp. 3209-3216
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