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A Non-Destructive Parameter Identification for an Embankment Dam
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0001-6562-1738
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0003-3031-816X
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0003-1935-1743
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-1365-8552
2021 (English)In: Numerical Analysis of Dams: Proceedings of the 15th ICOLD International Benchmark Workshop / [ed] Gabriella Bolzon, Donatella Sterpi, Guido Mazzà, Antonella Frigerio, Springer Nature, 2021, p. 889-899Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer Nature, 2021. p. 889-899
Series
Lecture Notes in Civil Engineering, ISSN 2366-2557, E-ISSN 2366-2565 ; 91
Keywords [en]
Embankment dam, Inverse analysis, Digital twin, Predictions Noise
National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-76459DOI: 10.1007/978-3-030-51085-5_51Scopus ID: 2-s2.0-85096621345OAI: oai:DiVA.org:ltu-76459DiVA, id: diva2:1362693
Conference
15th ICOLD International Benchmark Workshop, 9-11 September, 2019, Milano, Italy
Note

ISBN för värdpublikation: 978-3-030-51084-8, 978-3-030-51085-5

Available from: 2019-10-21 Created: 2019-10-21 Last updated: 2022-06-30Bibliographically approved

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Toromanovic, JasminaMattsson, HansLaue, JanKnutsson, Sven

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