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Title: Probabilistic Computer Analysis for Rapid Evaluation of Structures.

P-CARES 2.0.0, Probabilistic Computer Analysis for Rapid Evaluation of Structures, was developed for NRC staff use to determine the validity and accuracy of the analysis methods used by various utilities for structural safety evaluations of nuclear power plants. P-CARES provides the capability to effectively evaluate the probabilistic seismic response using simplified soil and structural models and to quickly check the validity and/or accuracy of the SSI data received from applicants and licensees. The code is organized in a modular format with the basic modules of the system performing static, seismic, and nonlinear analysis.
Authors:
Publication Date:
OSTI Identifier:
1261144
Report Number(s):
P-CARES; 004144IBMPC00
RSICC ID: P00538PC586
DOE Contract Number:
AC05-00OR22725
Resource Type:
Software
Software Revision:
00
Software Package Number:
004144
Software CPU:
IBMPC
Source Code Available:
No
Other Software Info:
Owner Installation: BROOKHAVEN NATIONAL LAB Contributors: Brookhaven National Laboratory, Upton, New York, and U. S. Nuclear Regulatory Commission. P-CARES is an update of the CARES program developed at Brookhaven National Laboratory during the 1980’s. A major improvement is the enhanced analysis capability in which a probabilistic algorithm has been implemented to perform the probabilistic site response and soil-structure interaction (SSI) analyses. This is accomplished using several sampling techniques such as the Latin Hypercube sampling (LHC), engineering LHC, the Fekete Point Set method, and also the traditional Monte Carlo simulation. This new feature enhances the site response and SSI analysis such that the effect of uncertainty in local site soil properties can now be quantified. Another major addition to P-CARES is a graphical user interface (GUI) which significantly improves the performance of P-Cares in terms of the inter-relations among different functions of the program, and facilitates the input/output processing and execution management. It also provides many user friendly features that would allow an analyst to quickly develop insights from the analysis results. KEYWORDS: PROBABILITY SAFETY ANALYSIS; SEISMIC; STRUCTURAL SAFETY ANALYSIS
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States

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