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pro vyhledávání: '"Benoît Claude Henri Cousin"'
Publikováno v:
Geothermics. 95:102132
This study explores and validates a machine learning approach for the practical, effective, and precise prediction of the thermo-physical characteristics that are essential for the analysis and design of shallow geothermal systems, including borehole
Autor:
Alessandro F. Rotta Loria, Benoît Claude Henri Cousin, Andrew Bourget, Fabrice Rognon, Lyesse Laloui
Publikováno v:
Tunnelling and Underground Space Technology. 91:102997
This study focuses on the analysis of the energy performance and economic feasibility of so-called tunnel energy segmental linings: an innovative technology that couples the structural support role of the tunnel lining with the heating-cooling role o