Scaling laws for the modelling of energy geostructures

Author:

Ouzzine Badr1,de Sauvage Jean2ORCID,Hemmati Sahar3ORCID,Badinier Thibault3ORCID,Blanc Matthieu4ORCID,Dubreucq Thierry4,Chevalier Christophe3ORCID,Reiffsteck Philippe5ORCID

Affiliation:

1. Engineer, Department of Geotechnical Engineering, Environment, Natural Hazards and Earth Sciences, Université Gustave Eiffel, Marne-la-Vallée, France (corresponding author: )

2. Researcher, Department of Geotechnical Engineering, Environment, Natural Hazards and Earth Sciences, Université Gustave Eiffel, Bron, France

3. Researcher, Department of Geotechnical Engineering, Environment, Natural Hazards and Earth Sciences, Université Gustave Eiffel, Marne-la-Vallée, France

4. Researcher, Department of Geotechnical Engineering, Environment, Natural Hazards and Earth Sciences, Université Gustave Eiffel, Bouguenais, France

5. Research Director, Department of Geotechnical Engineering, Environment, Natural Hazards and Earth Sciences, Université Gustave Eiffel, Marne-la-Vallée, France

Abstract

Among the different solutions to meet the increasing need for renewable energies, energy geostructures, and particularly energy piles, are very promising. However, their dual role (structural support and energy harvester) raises design questions and safety issues. In addition, they are often placed within a groundwater flow and the influence of seepage on thermal loadings and mechanical response is still to be characterised. In this perspective, centrifuge modelling can play a significant role as in lots of geotechnical problems. In the present case, reduced scale models present a supplementary advantage since diffusion timescales are highly reduced. Scaling factor for time is 1/N2 if scaling factor for lengths is 1/N. Nevertheless, the numerous phenomena to consider make it difficult to ensure the similarity between model and prototype. This paper derives and collates all the scaling laws and important points to be aware of when centrifuge modelling energy piles.

Publisher

Emerald

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