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OPENAIUQ

OpenSource Software of Uncertainty Quantification and Risk Analysis for risk-informed digital twins of buildings and infrastructures

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OpenAIUQ: Pro Gallery

STATISTICS AND PROBABILISTIC MODELS

 CLASS: RISK AND RELIABILITY IN CIVIL ENGINEERING 2019-2021, Umberto Alibrandi, AU

DATA ANALYSIS

example A1.1: concrete strength

DATA ANALYSIS

example A1.2: timber strength

DATA ANALYSIS

example A1.3: concrete test

PROBABILITY MODELS

Example A3.1: Probability distributions

PROBABILITY MODELS

Example A3.2: Concrete strength, model selection

PROBABILITY MODELS

Example A3.3: Timber strength, model selection

PROBABILISTIC MODELS

example A4.1: Joint distributions

PROBABILISTIC MODELS

Example A4.2: concrete test, joint PDF

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MULTIVARIATE PROBABILISTIC MODELS

CLASS: RISK AND RELIABILITY IN CIVIL ENGINEERING 2019-2021, Umberto Alibrandi, AU

NATAF

Joint Distributions

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PROBABILISTIC SENSITIVITY ANALYSIS

INFORMATION THEORY

Informational Coefficient of Correlation

INFORMATION THEORY

Value of Information

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SURROGATE MODELLING

INFORMATION THEORY

Informational Gaussian Processes

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FIRST ORDER RELIABILITY METHOD

CLASS: RISK AND RELIABILITY IN CIVIL ENGINEERING 2019-2021, Umberto Alibrandi, AU

FORM

example B3.1: Bar, Linear Limit State

FORM

Example B3.2: bar, nonlinear limit state

FORM

Example B3.3: Beam, bending moment

FORM

Example B3.4: beam, deflection

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MONTE CARLO SIMULATION (MCS)

CLASS: RISK AND RELIABILITY IN CIVIL ENGINEERING 2019-2021, Umberto Alibrandi, AU

MCS

example B1.1: Bar, MCS

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