Abstract
The tendency to shift from fossil and nuclear energy sources to renewable energy carriers in Germany leads to the necessity to develop effective energy storage systems. Nowadays, caverns excavated in rock salt formations are recognized as the appropriate places for underground storage of energy in the form of compressed air, hydrogen and natural gas. Accurate design of these underground cavities requires suitable numerical simulations employing proper constitutive models to describe the material behavior of rock salt under various geological conditions. In this paper, a rate dependent model is selected to describe the mechanical response of the rock salt around the cavern. This model is implemented in the finite element code CODE-BRIGHT, then its application in numerical modeling of salt caverns is illustrated. Finally, inverse analysis of the synthetic data is performed to identify the material parameters of the selected model. The applied inverse analysis algorithm employs metamodeling technique in order to reduce the computation time of the parameter identification procedure.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Cristescu, N.: Elastic viscoplastic constitutive equations for rock. Int. J. Rock Mech. Min. Sci. Geomech. 24, 271–281 (1987)
Günther, R., Salzer, K.: A model for rock salt, describing transient, stationary, and accelerated creep and dilatancy. In: 6th Conference on The Mechanical Behavior of Salt- SALTMECH6, Hannover, Germany, 22–25 May (2007)
Hampel, A., Schulze, O.: The composite dilatancy model: a constitutive model for the mechanical behavior of rock salt. In: 6th Conference on The Mechanical Behavior of Salt- SALTMECH6, Hannover, Germany, 22–25 May (2007)
Minkley, M., Muehlbauer, J.: Constitutive models to describe the mechanical behavior of salt rocks and the imbedded weakness planes. In: 6th Conference on The Mechanical Behavior of Salt- SALTMECH6, Hannover, Germany, 22–25 May (2007)
Heusermann, S., Rolfs, O., Schmidt, U.: Nonlinear finite element analysis of solution mined storage caverns in rock salt using the LUBBY2 constitutive model. Comput. Struct. 81, 629–638 (2003)
Meier, J., Rudolph, S., Schanz, T.: Effective algorithm for parameter back calculation-geotechnical applications. Bautechnik 86, 86–97 (2009)
Meier, J., Moser, M., Datcheva, M., Schanz, T.: Numerical modeling and inverse parameter estimation of the large-scale mass movement Gradenbach in Carinthia (Austria). Acta Geotech. 8, 355–371 (2013)
Knabe, T., Schweiger, F.H., Schanz, T.: Calibration of constitutive parameters by inverse analysis for a geotechnical boundary problem. Can. Geotech. J. 49, 170–183 (2012)
Levasseur, S., Malecot, Y., Boulon, M., Flavigny, E.: Soil parameter identification using a genetic algorithm. Int. J. Numer. Anal. Met. 39, 189–213 (2008)
Buljak, V.: Proper orthogonal decomposition and radial basis functions algorithm for diagnostic procedure based on inverse analysis. FME Trans. 38, 129–136 (2010)
Bolzon, G., Buljak, V.: An effective computational tool for parametric studies and identification problems in materials mechanics. Comput. Mech. 48, 657–687 (2011)
Acknowledgement
This work was performed in the frame of the project ANGUS+ funded by the Federal Ministry of Education and Research (BMBF) under grant no. 03EK3022C. The authors are grateful for their support.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Khaledi, K., Mahmoudi, E., Datcheva, M., Schanz, T. (2015). Parameter Identification of a Rate Dependent Constitutive Model for Rock Salt. In: Dimov, I., Fidanova, S., Lirkov, I. (eds) Numerical Methods and Applications. NMA 2014. Lecture Notes in Computer Science(), vol 8962. Springer, Cham. https://doi.org/10.1007/978-3-319-15585-2_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-15585-2_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15584-5
Online ISBN: 978-3-319-15585-2
eBook Packages: Computer ScienceComputer Science (R0)