Recently updated on September 19th, 2024 at 01:07 pm<\/p>","protected":false},"excerpt":{"rendered":"
SPHERA (RSE SpA), a CFD-SPH 3D code, has been improved and validated based on the Vajont overflow flood event. The results are also available for the FloodRisk2 (University of Basilicata, RSE SpA) and Relief (RSE SpA) damage models. The following is also reported: a feasibility analysis for 3D SPH studies of the Gleno and Molare energy disasters; the comparison between SPH results on the collapse of the Kagerplassen embankment (2019), and recent measurements (2021). SPHERA is available on github.com.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1405,1305,1426],"targets":[1317],"rapporti_tipologie":[762],"class_list":["post-192145","rapporti","type-rapporti","status-publish","hentry","tag-climate-change","tag-energy-efficiency-en","tag-hydrogeological-risk","targets-research","rapporti_tipologie-report-en"],"acf":{"projects":{"ID":191053,"post_author":"464","post_date":"2024-07-10 16:51:45","post_date_gmt":"2024-07-10 14:51:45","post_content":"","post_title":"Models and tools for interventions, including preventive interventions, for defending and improving grid security and resilience","post_excerpt":"Models and tools for interventions, including preventive interventions, for defending and improving grid security and resilience","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"models-and-tools-for-interventions-including-preventive-interventions-for-defending-and-improving-grid-security-and-resilience","to_ping":"","pinged":"","post_modified":"2024-08-09 16:02:23","post_modified_gmt":"2024-08-09 14:02:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/models-and-tools-for-interventions-including-preventive-interventions-for-defending-and-improving-grid-security-and-resilience\/","menu_order":0,"post_type":"progetti","post_mime_type":"","comment_count":"0","filter":"raw"},"order_posts":"","dont_show_search":false,"related_posts":false,"dont_show_hompage":false,"show_on_slider":false,"single_post_data":{"titolo_spot":"","post_content":"
The three most fatal Italian energy-related disasters ever occurred as a result of landslides or floods triggered by intense precipitation are the Vajont, Gleno, and Molare disasters. Numerical simulation of historical disasters enables improved computational codes for hydrogeological risk analyses associated with the electrical system and its vulnerabilities to extreme natural events, which are also dependent on climate change.
\nSPHERA (RSE SpA) is a 3D computational fluid dynamics (CFD) research code, based on the Smoothed Particle Hydrodynamics (SPH) method, dedicated to flash floods and rapid landslides at the sub-basin scale for the safety of hydropower plants, power substations, and power line supports.
\nIn 2021 SPHERA was improved and applied to the ex-post fluid dynamics analysis of the Vajont Dam overflow flood.The resistance strength on the topographic surface depends on the CORINE Land Cover class through the characteristic length of the roughness. The overflow rate from the Vajont reservoir has been reconstructed by a simple numerical model fed by the information available in situ.
\nThe 3D CFD-SPH simulation showed the 3D nonlinear characteristics of the Vajont Dam overflow flood. The SPH simulation does not require calibration: each input data is in accordance with the relevant literature. The code correctly simulates the flooded areas in 89.2% of the examined surface. Validation shows that \u201cfalse positives\u201d are 11.5% of positive cases, whereas \u201cfalse negatives\u201d are 9.7% of negative cases. Comparison of simulated maximum water head in the outlet section of Vajont canyon YSPH=77.0m and the associated measurement Ymeas=70m (Reberschack, 2003, [1], Bosa & al.; Petti, 2013, [2]) shows an overestimation of 10%. In this section, the arrival time estimate falls within the range defined by the associated measure.<\/p>\n