TU Darmstadt / ULB / TUbiblio

Parametric Modeling of Static and Dynamic Processes in Engineering Geodesy

Eichhorn, Andreas
Kutterer, Hansjörg and Seitz, Florian and Alkhatib, Hamza and Schmidt, Michael (eds.) (2015):
Parametric Modeling of Static and Dynamic Processes in Engineering Geodesy.
In: The 1st International Workshop on the Quality of Geodetic Observation and Monitoring Systems (QuGOMS'11), Springer International Publishing, pp. 117-125, [Online-Edition: http://link.springer.com/chapter/10.1007/978-3-319-10828-5_1...],
[Book Section]

This is the latest version of this item.

Abstract

In this paper, the main focus is set on the utilization of parametric methods for the quantification of causative relationships in static and dynamic deformation processes. Parametric methods are still ‘exotic’ in engineering geodesy but state of the art e.g. in civil and mechanical engineering. Within this context, an essential part is the physical (parametric) modeling of the functional relationships based on partial or ordinary differential equations using the corresponding numerical solutions represented by finite element (FE) or finite difference (FD) models. The identification of a physical model is realised by combination with monitoring data. One important part of the identification includes establishing the deterministic model structure and estimating a priori unknown model parameters and initial respectively boundary conditions by filtering (e.g. adaptive Kalman-filtering). Major challenges are establishing the parametric model structure, quantifying disturbances and the identifiability of the model parameters which are possibly non-stationary. These challenges are discussed with the help of a practical example from engineering geology.

Item Type: Book Section
Erschienen: 2015
Editors: Kutterer, Hansjörg and Seitz, Florian and Alkhatib, Hamza and Schmidt, Michael
Creators: Eichhorn, Andreas
Title: Parametric Modeling of Static and Dynamic Processes in Engineering Geodesy
Language: English
Abstract:

In this paper, the main focus is set on the utilization of parametric methods for the quantification of causative relationships in static and dynamic deformation processes. Parametric methods are still ‘exotic’ in engineering geodesy but state of the art e.g. in civil and mechanical engineering. Within this context, an essential part is the physical (parametric) modeling of the functional relationships based on partial or ordinary differential equations using the corresponding numerical solutions represented by finite element (FE) or finite difference (FD) models. The identification of a physical model is realised by combination with monitoring data. One important part of the identification includes establishing the deterministic model structure and estimating a priori unknown model parameters and initial respectively boundary conditions by filtering (e.g. adaptive Kalman-filtering). Major challenges are establishing the parametric model structure, quantifying disturbances and the identifiability of the model parameters which are possibly non-stationary. These challenges are discussed with the help of a practical example from engineering geology.

Title of Book: The 1st International Workshop on the Quality of Geodetic Observation and Monitoring Systems (QuGOMS'11)
Series Name: International Association of Geodesy Symposia
Number: 140
Publisher: Springer International Publishing
ISBN: 978-3-319-10827-8 978-3-319-10828-5
Uncontrolled Keywords: Descriptive and causative view, GB-SAR, Geophysics/Geodesy, Geotechnical Engineering & Applied Earth Sciences, Mass movement, Parametric modeling, Remote Sensing/Photogrammetry, Static and dynamic deformation processes
Divisions: 13 Department of Civil and Environmental Engineering Sciences
13 Department of Civil and Environmental Engineering Sciences > Institute of Geodesy
13 Department of Civil and Environmental Engineering Sciences > Institute of Geodesy > Geodetic Measuring Systems and Sensor Technology
Date Deposited: 09 Nov 2016 07:56
Official URL: http://link.springer.com/chapter/10.1007/978-3-319-10828-5_1...
Additional Information:

DOI: 10.1007/978-3-319-10828-5_17 Peer Reviewed

Export:

Available Versions of this Item

Optionen (nur für Redakteure)

View Item View Item