Modeling power non-recovery using the saphire risk assessment software

被引:0
|
作者
Smith, CL [1 ]
Schroeder, JA [1 ]
Beck, ST [1 ]
Knudsen, JK [1 ]
机构
[1] Bechtel BWXT Idaho LLC, Idaho Falls, ID 83415 USA
关键词
recovery; accident; human; SAPHIRE; PRA; risk; reliability;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
SAPHIRE (Systems Analysis Program for Hands-on Integrated Reliability Evaluation) is a software tool for performing probabilistic risk assessments. Within this tool, there exists the capability to create and quantify logic models depicting a nuclear power plant's response to an accident, including the potential for recovery of failed components. Specifically we discuss two methods of incorporating these "nonrecovery" basic events into the risk model via (1) the direct manipulation of the logic structure or (2) the application of "recovery" rules. Also presented are three methods of quantifying the nonrecovery probabilities, including general human reliability analysis, integration of the recovery times, and a "time series" Monte Carlo simulation approach. The results of our analysis show that introducing offsite power recovery events into the model is relatively simple. But, determining the appropriate probabilities (conditional upon specific accident sequences) is generally a non-trivial process. With the aid of time-based recovery modules in SAPHIRE, the determination of applicable nonrecovery probabilities becomes a manageable process.
引用
收藏
页码:1185 / 1190
页数:6
相关论文
共 50 条
  • [21] A Software Project Risk Analysis Tool Using Software Development Goal Modeling Approach
    Patil, Shruti
    Ade, Roshani
    INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS, VOL 2, 2015, 340 : 767 - 777
  • [22] Non-recovery from dialysis-requiring acute kidney injury and short-term mortality and cardiovascular risk: a cohort study
    Benjamin J. Lee
    Chi-yuan Hsu
    Rishi V. Parikh
    Thomas K. Leong
    Thida C. Tan
    Sophia Walia
    Kathleen D. Liu
    Raymond K. Hsu
    Alan S. Go
    BMC Nephrology, 19
  • [23] Cascading Failures in Power Grids: Risk Assessment, Modeling, and Simulation
    Sun, Kai
    IEEE ELECTRIFICATION MAGAZINE, 2024, 12 (02): : 107 - 107
  • [24] Use of Genome-wide Polygenic Risk Scores for Specific Organ Impairment in Coronavirus Disease 2019 (COVID-19) Non-recovery
    Goemans, Anne F.
    Leavy, Olivia C.
    Guillen-Guio, Beatriz
    Pairo-Castineira, Erola
    Rawlik, Konrad
    Evans, Rachael A.
    Brightling, Christopher E.
    Wain, Louise V.
    Lucas, Tim Cd.
    GENETIC EPIDEMIOLOGY, 2024, 48 (07) : 356 - 356
  • [25] Risk assessment in software supply chains using the Bayesian method
    Librantz, Andre Felipe Henriques
    Costa, Ivanir
    Spinola, Mauro de Mesquita
    de Oliveira Neto, Geraldo Cardoso
    Zerbinatti, Leandro
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2021, 59 (22) : 6758 - 6775
  • [26] Remote Risk Assessment: A Case Study using SCOPE Software
    Leva, Maria C.
    Naghdali, Farzad
    Balfe, Nora
    Gerbec, Marko
    De Michela, Micaela
    ICHEAP12: 12TH INTERNATIONAL CONFERENCE ON CHEMICAL & PROCESS ENGINEERING, 2015, 43 : 1213 - 1218
  • [27] Risk Assessment of Software Projects Using Fuzzy Inference System
    Iranmanesh, Seyed Hossein
    Khodadadi, Seyed Behrouz
    Taheri, Shakib
    CIE: 2009 INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3, 2009, : 1149 - +
  • [28] Development Risk Assessment in Software Projects using Dependability Models
    Melo, A.
    Tavares, E.
    Marinho, M.
    Sousa, E.
    Nogueira, B.
    Maciel, P.
    2013 IEEE 16TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE 2013), 2013, : 260 - 267
  • [29] Economie risk assessment for hydro plants using computer software
    Morgenroth, M
    Welt, F
    de Meel, HW
    HYDROPOWER IN THE NEW MILLENNIUM, 2001, : 113 - 121
  • [30] Experimental risk assessment and comparison using software fault injection
    Moraes, R.
    Duraes, J.
    Barbosa, R.
    Martins, E.
    Madeira, H.
    37TH ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS, PROCEEDINGS, 2007, : 512 - +