Probability analysis of reinforced concrete structure failure of nuclear power plants due to loss of coolant accident

Title:

Probability analysis of reinforced concrete structure failure of nuclear power plants due to loss of coolant accident

Creator:

Králik, Juraj

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:89493143-2878-4781-b2f1-3c626db2298a
uuid:89493143-2878-4781-b2f1-3c626db2298a

Subject:

nuclear power plants, concrete containment, structural integrity, concrete cracing and crushing, ANSYS, MONTE CARLO, and probability

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

This paper describes the probabilty analysis of reinforced concrete containment structure of NPP with the reactor VVER V-230 under high internal overpressure. The summary of calculation models and calculation methods for the probability analysis of the structural integrity in the case of the loss of coolant accident (LOCA) is showed. The probabilistic structural analysis (PSA) level 2 aims at an assessment of the probability of the concrete structure failure under excessive overpressure. In the non-linear analysis of the concrete structures a layered approximation of the shell elements with various material properties have been included. The uncertainties of longtime temperature and dead loads, material properties (concrete cracking and crushing, reinforcement, and liner) and model uncertainties were taken into account in the 106 direct MONTE CARLO simulations. The results of the probability analysis of the containment failure under excessive overpressure show that in the case of the LOCA accident at overpressure of 122,7 kPa the probability is smaller than the required 10-4 for design resistance. and Obsahuje seznam literatury

Language:

English

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

113-125

Source:

Engineering mechanics: international journal for theoretical and applied mechanics | 2005 Volume:12 | Number:2

Harvested from:

CDK

Metadata only:

false