Technical Elements Documentation
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    Interface RiskUncertaintyAnalysis

    Interface representing the characterization and quantification of uncertainties in the calculated risk metrics.

    HLR-RI-C

    {
      uuid: "123e4567-e89b-12d3-a456-426614174008",
      name: "Complete Plant CDF Uncertainty Analysis",
      description: "Comprehensive uncertainty analysis for the integrated CDF",
      metric: RiskMetricType.CDF,
      propagationMethod: "Monte Carlo sampling with 10,000 trials",
      parameterUncertainty: {
        distribution: DistributionType.LOGNORMAL,
        parameters: {
          mean: 2.5e-6,
          "5th_percentile": 8.3e-7,
          "50th_percentile": 2.1e-6,
          "95th_percentile": 7.2e-6
        }
      },
      keyUncertaintySources: [
        {
          uuid: "123e4567-e89b-12d3-a456-426614174007",
          name: "Human Reliability Under Extreme Conditions"
        }
      ]
    }
    interface RiskUncertaintyAnalysis {
        description?: string;
        deterministicComparison?: string;
        keyContributorIdentificationMethod?: {
            description: string;
            justification: string;
            significanceCriteria: string;
        };
        keyUncertaintyContributors?: {
            basis: string;
            contribution: string
            | number;
            potentialImpactRange?: {
                lowerBound: number;
                unit?: string;
                upperBound: number;
            };
            priority?: ImportanceLevel;
            recommendedActions?: string[];
            sourceId: string;
            sourceName: string;
        }[];
        keyUncertaintySources?: ModelUncertaintySource[];
        metric: string;
        parameterUncertainty?: {
            distribution: DistributionType;
            parameters: Record<string, number>;
        };
        prioritization?: {
            basis: string;
            priorityLevel: ImportanceLevel;
            uncertaintySourceId: string;
        }[];
        propagationMethod: string;
        relatedAssumptions?: data_analysis.Assumption[];
        sensitivityStudies?: SensitivityStudy[];
        uncertaintyRangeDiscussion?: string;
    }

    Hierarchy

    • Unique
    • Named
      • RiskUncertaintyAnalysis
    Index

    Properties

    description? deterministicComparison? keyContributorIdentificationMethod? keyUncertaintyContributors? keyUncertaintySources? metric parameterUncertainty? prioritization? propagationMethod relatedAssumptions? sensitivityStudies? uncertaintyRangeDiscussion?

    Properties

    description?: string

    Description of the uncertainty analysis [153, RI-C1].

    deterministicComparison?: string

    Comparison with deterministic safety analyses, if applicable [155, RI-C3].

    keyContributorIdentificationMethod?: {
        description: string;
        justification: string;
        significanceCriteria: string;
    }

    Method used to identify key uncertainty contributors [155, RI-C5]. Documents the approach used to determine which sources of uncertainty contribute most to the results.

    Type declaration

    • description: string

      Description of the method

    • justification: string

      Justification for the method

    • significanceCriteria: string

      Criteria used to determine significance

    keyUncertaintyContributors?: {
        basis: string;
        contribution: string | number;
        potentialImpactRange?: {
            lowerBound: number;
            unit?: string;
            upperBound: number;
        };
        priority?: ImportanceLevel;
        recommendedActions?: string[];
        sourceId: string;
        sourceName: string;
    }[]

    Identification of key sources of uncertainty that contribute most to the uncertainty in risk results [155, RI-C5]. This explicitly addresses the RI-C5 requirement to identify the key sources of uncertainty.

    Type declaration

    • basis: string

      Basis for determining this is a key contributor

    • contribution: string | number

      Contribution to overall uncertainty (e.g., percentage or qualitative assessment)

    • OptionalpotentialImpactRange?: { lowerBound: number; unit?: string; upperBound: number }

      Potential risk impact range

    • Optionalpriority?: ImportanceLevel

      Priority for addressing this uncertainty

    • OptionalrecommendedActions?: string[]

      Recommended actions to reduce this uncertainty

    • sourceId: string

      ID of the uncertainty source

    • sourceName: string

      Name of the uncertainty source

    keyUncertaintySources?: ModelUncertaintySource[]

    Key sources of model uncertainty identified in each technical element [153, 154, RI-C1].

    metric: string

    The risk metric being analyzed

    parameterUncertainty?: {
        distribution: DistributionType;
        parameters: Record<string, number>;
    }

    Parameter uncertainty results (quantitative)

    Type declaration

    • distribution: DistributionType

      Distribution type representing the uncertainty

    • parameters: Record<string, number>

      Distribution parameters (e.g., percentiles, mean, variance)

    prioritization?: {
        basis: string;
        priorityLevel: ImportanceLevel;
        uncertaintySourceId: string;
    }[]

    Prioritization of key uncertainty sources based on their impact

    propagationMethod: string

    Method used to propagate uncertainties

    "Monte Carlo simulation with 10,000 trials"
    relatedAssumptions?: data_analysis.Assumption[]

    Assumptions related to the risk metric uncertainty analysis [153, RI-C1].

    sensitivityStudies?: SensitivityStudy[]

    Sensitivity studies performed to explore the impact of uncertainties [154, RI-C2].

    uncertaintyRangeDiscussion?: string

    Discussion of the range of the uncertainty, consistent with parameter uncertainties [155, RI-C4].

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