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Metamodel-Based Reliability Assessment of Reinforced Concrete Beams Under Fatigue Loads
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Fire Engineering.ORCID iD: 0000-0001-9493-9550
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Fire Engineering.ORCID iD: 0000-0003-3548-6082
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Fire Engineering. SINTEF Narvik AS, Narvik, Norway.ORCID iD: 0000-0002-8682-876x
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Fire Engineering.ORCID iD: 0000-0002-0560-9355
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2021 (English)In: Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures / [ed] Carlo Pellegrino, Flora Faleschini, Mariano Angelo Zanini, José C. Matos, Joan R. Casas, Alfred Strauss, Springer, 2021, Vol. 200, p. 84-92Conference paper, Published paper (Refereed)
Abstract [en]

It is well-known that highway bridges are frequently under cyclic load; therefore, deterioration due to fatigue is one of the most important phenomena to be analyzed when determining a bridge safety margin. This paper studies how uncertainties related to fatigue models for concrete structures affect reinforced concrete element’s reliability, and the critical parameters in fatigue damage are investigated. To this end, a metamodel-based method is described and used to calculate the probability of failure and reliability index values of an application example. Metamodel-based methods have become an essential and efficient tool to determine structural safety as the possibility to decrease the computational cost and couple the reliability approach with nonlinear finite element analysis (NLFEA) allows a better estimation of structural reliability. Results show how the proposed method can reduce the computational cost of traditional reliability simulation methods, maintaining a good accuracy. 

Place, publisher, year, edition, pages
Springer, 2021. Vol. 200, p. 84-92
Series
Lecture Notes in Civil Engineering (LNCE), ISSN 2366-2557, E-ISSN 2366-2565 ; 200
Keywords [en]
Meta-model, Reliability, Fatigue, Reinforced concrete, Structural safety
National Category
Infrastructure Engineering
Research subject
Structural Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-88683DOI: 10.1007/978-3-030-91877-4_10Scopus ID: 2-s2.0-85121910824OAI: oai:DiVA.org:ltu-88683DiVA, id: diva2:1626282
Conference
1st Conference of the European Association on Quality Control of Bridges and Structures (EUROSTRUCT2021) August 29 - September 1 2021, Padova, Italy
Note

ISBN för konferensbidrag: 978-3-030-91876-7, 978-3-030-91877-4

Available from: 2022-01-11 Created: 2022-01-11 Last updated: 2023-09-06Bibliographically approved
In thesis
1. Redundancy and Robustness Quantification of Bridge Systems based on Reliability and Risk Approaches
Open this publication in new window or tab >>Redundancy and Robustness Quantification of Bridge Systems based on Reliability and Risk Approaches
2023 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Over the last few decades, evaluating the performance of existing structures has become increasingly important, particularly as the number of bridges reaching their design life continues to rise. As a result, there is a growing need for effective and accurate procedures to guide the assessment of the current structures' capacity and safety levels to implement appropriate maintenance and rehabilitation strategies. Evaluating a structure's performance involves assessing its ability to carry loads, resist external forces, and maintain its functionality over time. This is a complex process that requires a deep understanding of the structure's behavior, as well as knowledge of the environmental conditions it is subjected to.

In recent years, technological advances and an increased understanding of reliability concepts have allowed for the development of more sophisticated tools and methods for structural evaluation. Thus, engineers and researchers can obtain more accurate and reliable data about a structure's performance, which can inform decision-making processes related to maintenance, repair, and replacement.

This study aims to present a methodology that guides the assessment of existing structures' performance effectively and accurately. Precisely, the performance is measured in terms of redundancy and robustness. Thus, a comparison of existing reliability- and risk-based indicators is performed through an example application presented in one of the appended papers. The comparison allows an overview of the difference between the available measures and the type of information provided by each one of them.

Also, in one of the appended papers a new algorithm for evaluating the failure probability value is proposed. The algorithm is based on metamodel strategies and integrates the advantages of kriging, learning, and copula functions. The proposed algorithm aims to reduce the number of performance function evaluations, so the number of model runs is feasible when using Finite Element Modeling (FEM).

By comparing the available redundancy and robustness indicators, it was possible to observe that each measure provides different insights into these two structural properties. Additionally, direct comparison between them is challenging since their units can differ, and the lack of a target or standard values makes their interpretation difficult. Therefore, when using a specific indicator, it is required to specify the definition adopted clearly.

Furthermore, the proposed algorithm showed through the validation examples and the case study that it can obtain the failure probability accurately and effectively. Its application resulted in a more economical methodology, in terms of computational cost, compared to other existing reliability methods. 

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2023
Series
Licentiate thesis / Luleå University of Technology, ISSN 1402-1757
Keywords
Existing bridges, reliability, risk, metamodel, Finite Element Modeling, Model tests
National Category
Infrastructure Engineering
Research subject
Structural Engineering
Identifiers
urn:nbn:se:ltu:diva-96316 (URN)978-91-8048-295-0 (ISBN)978-91-8048-296-7 (ISBN)
Presentation
2023-06-02, F341, Luleå tekniska universitet, Luleå, 10:00 (English)
Opponent
Supervisors
Available from: 2023-04-05 Created: 2023-04-05 Last updated: 2023-05-12Bibliographically approved

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Sarmiento Nova, Silvia J.Gonzalez-Libreros, JaimeSas, GabrielElfgren, Lennart

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