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    Interface EventQuantUncertaintyAnalysis

    Comprehensive uncertainty analysis for event sequence quantification

    HLR-ESQ-E

    interface EventQuantUncertaintyAnalysis {
        correlations?: {
            basis: string;
            correlationCoefficient: number;
            parameterIds: string[];
        }[];
        modelUncertainties: {
            description: string;
            impact: string;
            isQuantified: boolean;
            treatmentApproach: string;
            uncertaintyId: string;
        }[];
        numberOfSamples?: number;
        parameterUncertainties: {
            basis: string;
            distributionParameters: Record<string, number>;
            distributionType: DistributionType;
            parameterId: string;
        }[];
        propagationMethod: | "OTHER"
        | "MONTE_CARLO"
        | "LATIN_HYPERCUBE"
        | "ANALYTICAL";
        randomSeed?: number;
        sensitivityStudies?: SensitivityStudy[];
        stateOfKnowledgeCorrelation: {
            correlatedParameters?: string[][];
            handlingDescription?: string;
            handlingMethod?: | "OTHER"
            | "SAME_RANDOM_SEED"
            | "EXPLICIT_CORRELATION_MATRIX"
            | "PARAMETER_GROUPING";
            impactAssessment?: string;
            isConsidered: boolean;
            justificationIfNotConsidered?: string;
        };
    }

    Hierarchy (View Summary)

    Index

    Properties

    correlations? modelUncertainties numberOfSamples? parameterUncertainties propagationMethod randomSeed? sensitivityStudies? stateOfKnowledgeCorrelation

    Properties

    correlations?: {
        basis: string;
        correlationCoefficient: number;
        parameterIds: string[];
    }[]

    Correlation between uncertainties, if modeled

    Type declaration

    • basis: string

      Basis for the correlation

    • correlationCoefficient: number

      Correlation coefficient

    • parameterIds: string[]

      IDs of the correlated parameters

    modelUncertainties: {
        description: string;
        impact: string;
        isQuantified: boolean;
        treatmentApproach: string;
        uncertaintyId: string;
    }[]

    Model uncertainties considered The concept of identifying, describing, and defining the treatment approach for model uncertainties is relevant across various technical elements of a PRA.

    Type declaration

    • description: string

      Description of the uncertainty

    • impact: string

      Impact on the model

    • isQuantified: boolean

      Whether the uncertainty is quantified

    • treatmentApproach: string

      How the uncertainty is addressed

    • uncertaintyId: string

      Uncertainty ID

    numberOfSamples?: number

    Number of samples if using simulation Specific to simulation-based propagation methods (like Monte Carlo and Latin Hypercube) and is a general parameter for such methods.

    parameterUncertainties: {
        basis: string;
        distributionParameters: Record<string, number>;
        distributionType: DistributionType;
        parameterId: string;
    }[]

    Parameter uncertainties considered

    Type declaration

    • basis: string

      Basis for the distribution

    • distributionParameters: Record<string, number>

      Distribution parameters

    • distributionType: DistributionType

      Distribution type

    • parameterId: string

      Parameter name or ID

    propagationMethod: "OTHER" | "MONTE_CARLO" | "LATIN_HYPERCUBE" | "ANALYTICAL"

    Uncertainty propagation method Defines the method used to propagate uncertainty, which is a general concept applicable across different types of uncertainty analysis within a PRA.

    randomSeed?: number

    Seed value for random number generator if using simulation Used in simulation-based uncertainty propagation to ensure reproducibility or to control the random number generation process.

    sensitivityStudies?: SensitivityStudy[]

    Sensitivity studies for unquantified uncertainties Sensitivity analysis is a general technique used to assess the impact of parameter variations or uncertainties on the results of an analysis.

    stateOfKnowledgeCorrelation: {
        correlatedParameters?: string[][];
        handlingDescription?: string;
        handlingMethod?:
            | "OTHER"
            | "SAME_RANDOM_SEED"
            | "EXPLICIT_CORRELATION_MATRIX"
            | "PARAMETER_GROUPING";
        impactAssessment?: string;
        isConsidered: boolean;
        justificationIfNotConsidered?: string;
    }

    State-of-knowledge correlation handling

    Type declaration

    • OptionalcorrelatedParameters?: string[][]

      Parameters for which state-of-knowledge correlation is considered

    • OptionalhandlingDescription?: string

      Description of how state-of-knowledge correlation is handled

    • OptionalhandlingMethod?:
          | "OTHER"
          | "SAME_RANDOM_SEED"
          | "EXPLICIT_CORRELATION_MATRIX"
          | "PARAMETER_GROUPING"

      Method used to account for state-of-knowledge correlation

    • OptionalimpactAssessment?: string

      Assessment of the impact of state-of-knowledge correlation on results

    • isConsidered: boolean

      Whether state-of-knowledge correlation is considered

    • OptionaljustificationIfNotConsidered?: string

      Justification if state-of-knowledge correlation is not considered

    ESQ-A5

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