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The Nuclear Physics Gran Sasso National Laboratory in the Gran Sasso Highway Tunnel: The Safety Organisation and the Qualitative-Quantitative Methods for Risk Evaluation

  • Roberto Tartaglia
  • Marco Tobia
  • Antonio Giampaoli
Conference paper

Abstract

The Gran Sasso National Laboratory (LNGS) is the largest underground laboratory in the world. It has been realised explicitly for the experimental purposes in Nuclear Physics branch and it’s unique in this field: infact, all over the world similar underground labs are usually mines (operational and/or decommissioned). The LNGS lab is actually attended by 500 researchers and technicians coming from all over the world. The huge LNGS underground halls (100m long, 20m wide, 20m high) are strictly correlated to the highway-tunnel which connects L’Aquila and Teramo countries (a 10,5 Km tunnel).

Due to its particular configuration and keeping into consideration the huge amount of flammable liquids and materials present in the underground halls, a detailed and well defined emergency procedure plan has been studied and developed.

The present report deals with the qualitative and quantitative evaluation of the risk connected with some particular plants located into the laboratories. The applied methods are Hazop Analysis and Fault Tree Analysis. The reasons of the necessity of a Quantitative Risk Assessment in the LNGS are two:
  • — Imposition of Seveso II regulations, the Italian law about the prevention of large accidents in the manufacturing systems.

  • — The difficult to evaluate the risk through the usual methodologies for Risk Assessment because the complex and high particular underground location of the laboratories.

A Quantitative Risk Assessment through Fault Tree Analysis is developed for the USA Skids Area, the purification plant of Borexino Apparatus, an international experiment on neutrino’s physic installed at LNGS.

A dedicated reliability software is utilised as tool for development and elaboration of large and complex fault trees.

Keywords

Solar Neutrino Fault Tree Importance Measure Quantitative Risk Assessment Underground Hall 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Roberto Tartaglia
    • 1
  • Marco Tobia
    • 1
  • Antonio Giampaoli
    • 1
  1. 1.Prevention and Protection OfficeLaboratori Nazionali del Gran Sasso, INFNL’AquilaItaly

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