Parameter identification for an embankment dam using noisy field data
Geotechnical Engineering
Document identifier: oai:DiVA.org:ltu-77527
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10.1680/jgeen.19.00163Keyword: Engineering and Technology,
Civil Engineering,
Geotechnical Engineering,
Teknik och teknologier,
Samhällsbyggnadsteknik,
Geoteknik,
Computational mechanics,
Earth dams,
Noise,
Soil MechanicsPublication year: 2020Abstract: Field sampling for evaluation of mechanical behaviour in embankment dams is not easily performed, because the performance and the safety of the structure may be unfavourably affected. A non-destructive method, inverse analysis, is an alternative. In this study, inverse analysis has been utilised to identify values of soil parameters for an embankment dam. An objective function and a genetic search algorithm were combined with finite-element software to perform the analysis. Values of model parameters were calibrated until inclinometer deformations from monitoring and computations corresponded to each other. Errors in field measurements occur, related to – for example – measurement precision, as well as handling and installation of the equipment. Search algorithms in mathematical optimisation might incur numerical problems if they are used against data containing errors. The performance of the genetic algorithm was investigated for the dam studied, when identification was performed against inclinometer data containing known errors of different magnitudes. The results showed that the genetic algorithm can search for solutions without obtaining numerical problems, even though the field data are substantially perturbed. It was found that the genetic algorithm is able to find good solutions for data from field measurements, including the usual errors in practical dam applications.
Authors
Jasmina Toromanovic
Luleå tekniska universitet; Geoteknologi
Other publications
>>
Hans Mattsson
Luleå tekniska universitet; Geoteknologi
Other publications
>>
Sven Knutsson
Luleå tekniska universitet; Geoteknologi
Other publications
>>
Jan Laue
Luleå tekniska universitet; Geoteknologi
Other publications
>>
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identifier: oai:DiVA.org:ltu-77527
datestamp: 2021-04-19T12:56:51Z
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10.1680/jgeen.19.00163
2-s2.0-85095975020
titleInfo:
@attributes:
lang: eng
title: Parameter identification for an embankment dam using noisy field data
abstract: Field sampling for evaluation of mechanical behaviour in embankment dams is not easily performed because the performance and the safety of the structure may be unfavourably affected. A non-destructive method inverse analysis is an alternative. In this study inverse analysis has been utilised to identify values of soil parameters for an embankment dam. An objective function and a genetic search algorithm were combined with finite-element software to perform the analysis. Values of model parameters were calibrated until inclinometer deformations from monitoring and computations corresponded to each other. Errors in field measurements occur related to – for example – measurement precision as well as handling and installation of the equipment. Search algorithms in mathematical optimisation might incur numerical problems if they are used against data containing errors. The performance of the genetic algorithm was investigated for the dam studied when identification was performed against inclinometer data containing known errors of different magnitudes. The results showed that the genetic algorithm can search for solutions without obtaining numerical problems even though the field data are substantially perturbed. It was found that the genetic algorithm is able to find good solutions for data from field measurements including the usual errors in practical dam applications.
subject:
@attributes:
lang: eng
authority: uka.se
topic:
Engineering and Technology
Civil Engineering
Geotechnical Engineering
@attributes:
lang: swe
authority: uka.se
topic:
Teknik och teknologier
Samhällsbyggnadsteknik
Geoteknik
@attributes:
lang: eng
topic: computational mechanics
@attributes:
lang: eng
topic: earth dams
@attributes:
lang: eng
topic: noise
@attributes:
lang: swe
authority: ltu
topic: Geoteknik
genre: Research subject
@attributes:
lang: eng
authority: ltu
topic: Soil Mechanics
genre: Research subject
language:
languageTerm: eng
genre:
publication/journal-article
ref
note:
Published
4
Validerad;2020;Nivå 2;2020-11-23 (alebob)
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Jasmina
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Luleå tekniska universitet
Geoteknologi
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Luleå tekniska universitet
Geoteknologi
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Sven
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Luleå tekniska universitet
Geoteknologi
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0000-0002-1365-8552
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Jan
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Luleå tekniska universitet
Geoteknologi
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janlau
0000-0003-1935-1743
originInfo:
dateIssued: 2020
publisher: Institution of Civil Engineers (ICE)
relatedItem:
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type: host
titleInfo:
title: Proceedings of the Institution of Civil Engeneers
subTitle: Geotechnical Engineering
identifier:
1353-2618
1751-8563
part:
detail:
@attributes:
type: volume
number: 173
@attributes:
type: issue
number: 6
extent:
start: 519
end: 534
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form: print
typeOfResource: text