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    Human Reliability Analysis-Based Method for Manual Fire Suppression Analysis in an Integrated Probabilistic Risk Assessment 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2020:;volume( 006 ):;issue: 001:;page 011010-1
    Author(s): Sakurahara, Tatsuya; Mohaghegh, Zahra; Kee, Ernie
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Fire is one of the most critical initiating events that can lead to core damage in nuclear power plants (NPPs). To evaluate the potential vulnerability of plants to fire hazards, fire probabilistic risk assessment (PRA) ...
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    Spatiotemporal Integration of an Agent-Based First Responder Performance Model With a Fire Hazard Propagation Model for Probabilistic Risk Assessment of Nuclear Power Plants 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2020:;volume( 006 ):;issue: 001:;page 011011-1
    Author(s): Bui, Ha; Sakurahara, Tatsuya; Reihani, Seyed; Kee, Ernie; Mohaghegh, Zahra
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: To advance emergency response (ER) modeling in probabilistic risk assessment (PRA), this research offers a new methodology that explicitly incorporates the spatiotemporal evolution of underlying physical and social phenomena ...
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    Probabilistic Validation: Theoretical Foundation and Methodological Platform 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2023:;volume( 009 ):;issue: 002:;page 21204-1
    Author(s): Bui, Ha; Sakurahara, Tatsuya; Reihani, Seyed; Kee, Ernie; Mohaghegh, Zahra
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Addressing safety concerns in commercial nuclear power plants (NPPs) often requires the use of advanced modeling and simulation (M&S) in association with the probabilistic risk assessment (PRA). Advanced M&S are ...
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    Probabilistic Validation: Computational Platform and Application to Fire Probabilistic Risk Assessment of Nuclear Power Plants 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 010 ):;issue: 002:;page 21202-1
    Author(s): Bui, Ha; Sakurahara, Tatsuya; Reihani, Seyed; Kee, Ernie; Mohaghegh, Zahra
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Recently, there has been an increasing use of advanced modeling and simulation in the nuclear domain across academia, industry, and regulatory agencies to improve the realism in capturing complex and highly spatiotemporal ...
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