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On the automatic parameter calibration of a hypoplastic soil model

Machaček, Jan ; Staubach, Patrick ; Grandas Tavera, Carlos Eduardo ; Wichtmann, Torsten ; Zachert, Hauke (2024)
On the automatic parameter calibration of a hypoplastic soil model.
In: Acta Geotechnica, 2022, 17 (11)
doi: 10.26083/tuprints-00026585
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (Abstract)

This paper presents an approach for the automatic parameter calibration (AC) of a hypoplastic constitutive soil model. The calibration software developed in this work simplifies the parameter calibration, reduces the subjective “human” factor on the calibration result and lowers the entry hurdle for the use of the hypoplastic constitutive model. The performance of the software was demonstrated by comparing automatically calibrated parameter sets for two sands and their related simulations of the underlying experimental data with simulations using two reference parameter sets. The first reference parameter set was calibrated the classical way, "by hand", and the second was calibrated using the AC tool ExCalibre. Two different optimization methods were used, namely the Differential Evolution (DE) and the Particle Swarm Optimization (PSO). The simulations performed with the parameters obtained from the AC agree well with the experimental data and show improvements over the reference parameter sets. With respect to the optimization method, the performance of the DE proved superior to that of the PSO. Various measures of comparison were examined to quantify the discrepancy between experiment and simulation. By repeating 500 calibration runs, the dispersion of parameters was determined and correlations between different parameters of the hypoplastic model were found.

Typ des Eintrags: Artikel
Erschienen: 2024
Autor(en): Machaček, Jan ; Staubach, Patrick ; Grandas Tavera, Carlos Eduardo ; Wichtmann, Torsten ; Zachert, Hauke
Art des Eintrags: Zweitveröffentlichung
Titel: On the automatic parameter calibration of a hypoplastic soil model
Sprache: Englisch
Publikationsjahr: 26 September 2024
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2022
Ort der Erstveröffentlichung: Berlin ; Heidelberg
Verlag: Springer
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Acta Geotechnica
Jahrgang/Volume einer Zeitschrift: 17
(Heft-)Nummer: 11
Kollation: 21 Seiten
DOI: 10.26083/tuprints-00026585
URL / URN: https://tuprints.ulb.tu-darmstadt.de/26585
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Herkunft: Zweitveröffentlichungsservice
Kurzbeschreibung (Abstract):

This paper presents an approach for the automatic parameter calibration (AC) of a hypoplastic constitutive soil model. The calibration software developed in this work simplifies the parameter calibration, reduces the subjective “human” factor on the calibration result and lowers the entry hurdle for the use of the hypoplastic constitutive model. The performance of the software was demonstrated by comparing automatically calibrated parameter sets for two sands and their related simulations of the underlying experimental data with simulations using two reference parameter sets. The first reference parameter set was calibrated the classical way, "by hand", and the second was calibrated using the AC tool ExCalibre. Two different optimization methods were used, namely the Differential Evolution (DE) and the Particle Swarm Optimization (PSO). The simulations performed with the parameters obtained from the AC agree well with the experimental data and show improvements over the reference parameter sets. With respect to the optimization method, the performance of the DE proved superior to that of the PSO. Various measures of comparison were examined to quantify the discrepancy between experiment and simulation. By repeating 500 calibration runs, the dispersion of parameters was determined and correlations between different parameters of the hypoplastic model were found.

Freie Schlagworte: Automatic calibration, Constitutive model, Differential evolution, Hypoplasticity, Optimization, Particle swarm optimization
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-265856
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften
600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
Fachbereich(e)/-gebiet(e): 13 Fachbereich Bau- und Umweltingenieurwissenschaften
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Geotechnik
Hinterlegungsdatum: 26 Sep 2024 12:37
Letzte Änderung: 27 Sep 2024 06:08
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