Deterministic systems are perfectly predictable. Probabilistic systems have some degree of uncertainty in predicting their behaviour and thus involve random variables describing the system elements. Design analyses of industrial systems are traditionally based on strictly deterministic standardised processes. To allow for uncertainties, deterministic "safety factors" are introduced into the computations on the various system elements. In this paper, it is hypothesised that both approaches are modelling the same process through probabilistic intentions may reveal more information since they explicitly incorporate uncertainty. Examples from industrial applications are given. Further, the challenge to system analysis posed by "chaos-theory" is...
International audienceModels for the assessment of the risk of complex engineering systems are affec...
In recent years, we have seen a diverse range of crises and controversies concerning food safety, an...
A risk-informed regulatory approach implies that risk insights be used as supplement of deterministi...
Probabilistic risk analysis aims to quantify the risk caused by high technology installations. Incre...
Probabilistic analysis is the usual starting point for sociotechnical risk assessments aimed at deci...
Several approaches to systems thinking have been proposed to understand and model complex socio-tech...
This paper starts from the premise that the human contribution to risk must be assessed during the d...
In this paper the need for a rational treatment of uncertainties in structural mechanics and analysi...
Models for the assessment of the risk of complex engineering systems are affected by uncertainties d...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1999.Includes ...
International audienceExplores methods for the representation and treatment of uncertainty in risk a...
Part 1: UQ Need: Risk, Policy, and Decision MakingInternational audienceSimulation is nowadays a maj...
A realistic analysis and design of physical systems must take into account uncertain-ties contribute...
The analytical/deterministic modelling and simulation/probabilistic methods are used separately as a...
In this paper the need for a rational treatment of uncertainties in structural mechanics and analysi...
International audienceModels for the assessment of the risk of complex engineering systems are affec...
In recent years, we have seen a diverse range of crises and controversies concerning food safety, an...
A risk-informed regulatory approach implies that risk insights be used as supplement of deterministi...
Probabilistic risk analysis aims to quantify the risk caused by high technology installations. Incre...
Probabilistic analysis is the usual starting point for sociotechnical risk assessments aimed at deci...
Several approaches to systems thinking have been proposed to understand and model complex socio-tech...
This paper starts from the premise that the human contribution to risk must be assessed during the d...
In this paper the need for a rational treatment of uncertainties in structural mechanics and analysi...
Models for the assessment of the risk of complex engineering systems are affected by uncertainties d...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1999.Includes ...
International audienceExplores methods for the representation and treatment of uncertainty in risk a...
Part 1: UQ Need: Risk, Policy, and Decision MakingInternational audienceSimulation is nowadays a maj...
A realistic analysis and design of physical systems must take into account uncertain-ties contribute...
The analytical/deterministic modelling and simulation/probabilistic methods are used separately as a...
In this paper the need for a rational treatment of uncertainties in structural mechanics and analysi...
International audienceModels for the assessment of the risk of complex engineering systems are affec...
In recent years, we have seen a diverse range of crises and controversies concerning food safety, an...
A risk-informed regulatory approach implies that risk insights be used as supplement of deterministi...