Concrete gravity dams model parameters updating using static measurements

The structural control of concrete gravity dams is of primary importance. In this context, numerical models play a fundamental role both to assess the vulnerability of gravity dams and to control their behaviour during normal operativity and after extreme events. In this regard, data monitoring repr...

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Bibliographic Details
Published in:Engineering structures 2019-10, Vol.196, p.109231, Article 109231
Main Authors: Sevieri, Giacomo, Andreini, Marco, De Falco, Anna, Matthies, Hermann G.
Format: Article
Language:English
Subjects:
Bayesian analysis
Bayesian updating
Computer applications
Concrete dams
Dams
Feasibility studies
Finite element method
Fourier analysis
General polynomial chaos expansion
Gravity dams
Mathematical models
Model parameters identification
Monitoring
Numerical models
Parameters
Prediction models
Probabilistic models
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Summary:The structural control of concrete gravity dams is of primary importance. In this context, numerical models play a fundamental role both to assess the vulnerability of gravity dams and to control their behaviour during normal operativity and after extreme events. In this regard, data monitoring represents an important source of information for numerical model calibrations. This study proposes a novel probabilistic procedure, defined in the Bayesian framework, to calibrate the parameters of finite elements models of dams. To this aim, monitoring data and the results of material tests are used as reference information. The computational burden is reduced by using a new hybrid-predictive model of the dam displacements. An application on an Italian dam shows the feasibility of the proposed procedure.
ISSN:0141-0296
1873-7323
DOI:10.1016/j.engstruct.2019.05.072