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  4. Prediction of induced soil vibration during pile vibrodriving using Dynamic Mode Decomposition (DMD)
 
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Prediction of induced soil vibration during pile vibrodriving using Dynamic Mode Decomposition (DMD)

Citation Link: https://doi.org/10.15480/882.14483
Publikationstyp
Conference Paper
Date Issued
2024
Sprache
English
Author(s)
Williams Riquer, Francisco 
Geotechnik und Baubetrieb B-5  
Chmelnizkij, Alexander  
Digitales und autonomes Bauen B-1  
Alkateeb, Diaa  
Geotechnik und Baubetrieb B-5  
Grabe, Jürgen  
Geotechnik und Baubetrieb B-5  
TORE-DOI
10.15480/882.14483
TORE-URI
https://tore.tuhh.de/handle/11420/53503
Journal
Journal of physics. Conference Series  
Volume
2909
Issue
1
Article Number
012002
Citation
14th International Conference on Recent Advances in Structural Dynamics, RASD 2024
Contribution to Conference
14th International Conference on Recent Advances in Structural Dynamics, RASD 2024  
Publisher DOI
10.1088/1742-6596/2909/1/012002
Scopus ID
2-s2.0-85214459264
Publisher
IOP
This study investigates using the Dynamic Mode Decomposition (DMD) algorithm to perform approximations and time-ahead prediction of soil vibrations during the vibrodriving process. Geotechnical applications face challenges in modeling and predicting soil vibrations due to the soil's heterogeneous nature. This study addresses this issue using a purely data-driven approach. Geophone data collected during pile installation using a vibrodriver were used to demonstrate the feasibility of the DMD algorithm. The research reveals that both the standard DMD and augmented DMD, which incorporate delay coordinates, can achieve accurate predictions, with the augmented DMD producing more accurate time-ahead predictions of the vibrations. The results emphasize the potential practical utility of data-driven methods for vibration prediction in geotechnical applications.
DDC Class
620.3: Vibrations
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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Williams-Riquer_2024_J._Phys.__Conf._Ser._2909_012002-1.pdf

Type

Main Article

Size

5.12 MB

Format

Adobe PDF

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