Resources

covered subject areas

Reliability analysis (21 entries)

Probabilistic modeling (13 entries)

Sensitivity analysis (13 entries)

STRUREL (4 entries)

Decision analysis (2 entries)

Machine learning (2 entries)

Expand your knowledge through our resources. Try our online tools and start reading our articles about probabilistic modeling, machine learning, risk assessment, uncertainty quantification and other fundamental topics. Here are the resources you need to get started dealing with uncertainties that arise in your day-to-day projects.

Reliability analysis

How to derive partial safety factors based on FORM?

Partial safety factors can be derived based on FORM by dividing the values of the design point by characteristic values.

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Probabilistic modeling

Structural design: characteristic value of concrete

This web app quantifies the uncertainty about the strength of concrete probabilistically and evaluates the characteristic value.

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Reliability analysis

Why is the probability of failure referred to as a notional probability?

The probability obtained through a structural reliability analysis cannot be observed in the real world and, therefore, should not be interpreted in an absolute sense.

Reliability analysis

How are partial safety factors linked to reliability?

The partial safety factors used in a semi-probabilistic design approach are calibrated based on a target reliability requirement.

Probabilistic modeling

Log-t distribution

The log-t distribution models the uncertainty about positive-valued quantities that follow a log-normal distribution with unknown mean and standard deviation.

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Reliability analysis

Post-processing of Monte Carlo simulation

Use our web app to quantify the uncertainty about the probability of failure based on a conducted Monte Carlo simulation.

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Probabilistic modeling

Normal-gamma distribution

The Normal-gamma distribution serves as conjugate prior for a Normal distribution with unknown mean and standard deviation. As parameters for the prior, the prior mean and variance can be used, along with the number of associated (pseudo-)observations.

Reliability analysis

What is a fully probabilistic design approach?

In a fully probabilistic design approach, the system design is selected such that it meets a target reliability requirement, while modeling uncertainties are explicitly taken into account.

Reliability analysis

How to use FORM to classify between capacity and demand?

The sign of the FORM alpha-factors is an indicator whether an input random variable is of the demand (positive sign) or capacity (negative sign) type.

Decision analysis

What is expected utility?

Expected utility is used to identify the optimal decision alternative when the utility function is subject to uncertainty. Expected utility is the expected value of the utility function.

covered subject areas

Reliability analysis (21 entries)

Probabilistic modeling (13 entries)

Sensitivity analysis (13 entries)

STRUREL (4 entries)

Decision analysis (2 entries)

Machine learning (2 entries)

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