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OPENAIUQ

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

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

MULTIVARIATE PROBABILISTIC MODELS

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

NATAF

Joint Distributions

PROBABILISTIC SENSITIVITY ANALYSIS

INFORMATION THEORY

Informational Coefficient of Correlation

INFORMATION THEORY

Value of Information

SURROGATE MODELLING

INFORMATION THEORY

Informational Gaussian Processes

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

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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