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

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

Article (2016)

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Cite this document: 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), 04015087-1-04015087-13. doi:10.1061/(asce)be.1943-5592.0000861
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Abstract

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

Open Access document in PolyPublie
Subjects: 1000 Génie civil > 1000 Génie civil
1000 Génie civil > 1003 Génie du transport
1100 Génie des structures > 1104 Analyse des structures
Department: Département des génies civil, géologique et des mines
Research Center: Non applicable
Funders: Swiss National Science Foundation
Grant number: 200020-155972
Date Deposited: 02 Feb 2018 12:32
Last Modified: 24 Oct 2018 16:12
PolyPublie URL: https://publications.polymtl.ca/2963/
Document issued by the official publisher
Journal Title: Journal of Bridge Engineering (vol. 21, no. 5)
Publisher: ASCE
Official URL: https://doi.org/10.1061/(asce)be.1943-5592.0000861

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