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Multimodel structural performance monitoring

James-A. Goulet, Prakash Kripakaran and Ian F. C. Smith

Article (2010)

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Cite this document: Goulet, J.-A., Kripakaran, P. & Smith, I. F. C. (2010). Multimodel structural performance monitoring. Journal of Structural Engineering, 136(10), p. 1309-1318. doi:10.1061/(asce)st.1943-541x.0000232
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Measurements from load tests may lead to numerical models that better reflect structural behavior. This kind of system identification is not straightforward due to important uncertainties in measurement and models. Moreover, since system identification is an inverse engineering task, many models may fit measured behavior. Traditional model updating methods may not provide the correct behavioral model due to uncertainty and parameter compensation. In this paper, a multi-model approach that explicitly incorporates uncertainties and modeling assumptions is described. The approach samples thousands of models starting from a general parameterized finite element model. The population of selected candidate models may be used to understand and predict behavior, thereby improving structural management decision making. This approach is applied to measurements from structural performance monitoring of the Langensand Bridge in Lucerne, Switzerland. Predictions from the set of candidate models are homogenous and show an average discrepancy of 4 to 7% from the displacement measurements. The tests demonstrate the applicability of the multi-model approach for the structural identification and performance monitoring of real structures. The multi-model approach reveals that the Langensand Bridge has a reserve capacity of 30 % with respect to serviceability requirements.

Uncontrolled Keywords

Structural identification, Bridge behavior, Static measurement, multi-model, data interpretation, uncertainties, dynamic behavior

Open Access document in PolyPublie
Subjects: 1000 Génie civil > 1000 Génie civil
1000 Génie civil > 1001 Génie et gestion du bâtiment
Department: Département des génies civil, géologique et des mines
Funders: Swiss National Science Foundation
Grant number: 200020-117670/1
Date Deposited: 15 Jan 2018 14:37
Last Modified: 24 Oct 2018 16:12
PolyPublie URL: https://publications.polymtl.ca/2880/
Document issued by the official publisher
Journal Title: Journal of Structural Engineering (vol. 136, no. 10)
Publisher: ASCE
Official URL: https://doi.org/10.1061/(asce)st.1943-541x.0000232


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