Regularization and optimization for the seismic imaging of transmission overhead line structure foundations

This thesis deals with the nondestructive testing of transmission overhead line structure foundations. A seismic imaging technique is used. The experimental procedure consists of the generation of a seismic wave near the foundation by means of a vibrating source and the measurement of the resulting wave velocity with a set of geophones. The specific goal of the presented work is to provide an inversion scheme in order to determine the shape of foundations from the measured data. This problem corresponds to an inverse scattering problem. Its resolution is particularly difficult because of its ill-posedness and the strong nonlinearity of the direct model. Two inversion methods have been developed. Their common aim is to map the spatial distribution of several physical characteristic of the probed medium. In both cases, a regularized least squares criterion is minimized iteratively. For the first approach, little a priori information is considered. It is based on a Markovian regularization scheme. The differences between neighboring pixels are penalized so that the algorithm converges towards smooth areas separated by sharp boundaries. The second approach takes more relevant priors into consideration. They are related to the particular shape of foundations and to the physical characteristics of earth and concrete. The method is based on a segmentation of the probed area into two regions. Tests were performed on simulated data to evaluate and compare the performance of these two methods.

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Source https://theses.hal.science/tel-00692589
Author Vautrin, Denis
Maintainer CCSD
Last Updated May 20, 2026, 09:41 (UTC)
Created May 20, 2026, 09:41 (UTC)
Identifier tel-00692589
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN) ; Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (EPUN) ; Université de Nantes (UN)-Université de Nantes (UN)-PRES Université Nantes Angers Le Mans (UNAM)-Centre National de la Recherche Scientifique (CNRS)
creator Vautrin, Denis
date 2011-12-14T00:00:00
harvest_object_id a971cddc-f738-4fd3-973b-478fc9570f39
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-01-05T00:00:00
set_spec type:THESE