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Measurement, data interpretation, and uncertainty propagation for fatigue assessments of structures

Romain Pasquier, Luca D’Angelo, James Alexandre Goulet, Claire Acevedo, Alain Nussbaumer and Ian F. C. Smith

Article (2016)

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The real behavior of existing structures is usually associated with large uncertainty that is often covered by the use of conservative models and code practices for the evaluation of remaining fatigue lives. To make better decisions related to retrofit and replacement of existing bridges, new techniques that can quantify fatigue reserve capacity are required. This paper presents a population-based prognosis methodology that takes advantage of in-service behavior measurements using model-based data interpretation. This approach is combined with advanced traffic and fatigue models to refine remaining fatigue-life predictions. Study of a full-scale bridge revealed that this methodology provides less conservative estimations of remaining fatigue lives. In addition, this approach propagates uncertainties associated with finite-element, traffic, and fatigue-damage models to quantify their effects on fatigue-damage assessments and shows that traffic models and structural model parameters are the most influential sources of uncertainty.

Uncontrolled Keywords

Modeling uncertainty; Behavior measurement; Model-based data interpretation; Traffic-load model; Hot-spot stress

Subjects: 1000 Civil engineering > 1000 Civil engineering
1000 Civil engineering > 1003 Transportation engineering
1100 Structural engineering > 1104 Structural analysis
Department: Department of Civil, Geological and Mining Engineering
Funders: Swiss National Science Foundation
Grant number: 200020-155972
PolyPublie URL: https://publications.polymtl.ca/2963/
Journal Title: Journal of Bridge Engineering (vol. 21, no. 5)
Publisher: ASCE
DOI: 10.1061/(asce)be.1943-5592.0000861
Official URL: https://doi.org/10.1061/%28asce%29be.1943-5592.000...
Date Deposited: 02 Feb 2018 12:32
Last Modified: 06 Apr 2024 08:13
Cite in APA 7: Pasquier, R., D’Angelo, L., Goulet, J. A., Acevedo, C., Nussbaumer, A., & Smith, I. F. C. (2016). Measurement, data interpretation, and uncertainty propagation for fatigue assessments of structures. Journal of Bridge Engineering, 21(5), 04015087-1. https://doi.org/10.1061/%28asce%29be.1943-5592.0000861


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