A Non-Destructive Parameter Identification for an Embankment Dam

Proceedings of the 15th ICOLD International Benchmark Workshop

Document identifier: oai:DiVA.org:ltu-76459
Access full text here:10.1007/978-3-030-51085-5_51
Keyword: Engineering and Technology, Civil Engineering, Geotechnical Engineering, Teknik och teknologier, Samhällsbyggnadsteknik, Geoteknik, Embankment dam, Inverse analysis, Digital twin, Predictions Noise, Soil Mechanics
Publication year: 2021
Relevant Sustainable Development Goals (SDGs):
SDG 11 Sustainable cities and communitiesSDG 6 Clean water and sanitation
The SDG label(s) above have been assigned by OSDG.ai

Abstract:

When performing predictions of future behaviour and assessments of the safety for embankment dams, numerical modelling if often needed as support. For embankment dams a usual issue is to obtain values of the material parameters for the material in the dam. Sampling is not easily performed, and it could also negatively affect the performance and safety of the dam. One way to determine values of the material parameters is to create a digital copy of the dam by utilizing so called inverse analysis. The created numerical model is calibrated towards field measurements. To make the reality and the numerical model correspond to each other, the values of material parameters for constitutive models are calibrated. The calibration is done by an automatized process. Further, the calibrated model could be used in predictions of future dam behaviour. The methodology has been shown to work for field data containing errors of a usual magnitude.

Authors

J. Toromanovic

Luleå tekniska universitet; Geoteknologi
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H. Mattsson

Luleå tekniska universitet; Geoteknologi
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J. Laue

Luleå tekniska universitet; Geoteknologi
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S. Knutsson

Luleå tekniska universitet; Geoteknologi
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