Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Fault Tree Analysis for Robust Design
The objective of this research is to incorporate system failure into a robust design formation and solution process. The system failure referred to here will be built using fault tree analysis (FTA), which will take all lower-level failure events into consideration. Two examples are investigated here. One will directly treat the probabilities of the basis events as design variables, The other will be formulated in five different models: deterministic design optimization, the reliability index-based, the “and” gate-based, the “or” gate-based and the “inhibit” gate-based robust design. Their corresponding optimization solutions will be compared with each other. The post-optimality analysis of each of the design optimization models is also investigated to evaluate the effect of the change in the problem parameters to the optimal solution. These problem parameters are deterministic and not treated as design variables in the optimization formulation. This research paves the way for much more broad applications of robust design optimization in the future by incorporating more advanced FTA models into the optimization solution process, such as fuzzy sets and dynamic FTA.
Fault Tree Analysis for Robust Design
The objective of this research is to incorporate system failure into a robust design formation and solution process. The system failure referred to here will be built using fault tree analysis (FTA), which will take all lower-level failure events into consideration. Two examples are investigated here. One will directly treat the probabilities of the basis events as design variables, The other will be formulated in five different models: deterministic design optimization, the reliability index-based, the “and” gate-based, the “or” gate-based and the “inhibit” gate-based robust design. Their corresponding optimization solutions will be compared with each other. The post-optimality analysis of each of the design optimization models is also investigated to evaluate the effect of the change in the problem parameters to the optimal solution. These problem parameters are deterministic and not treated as design variables in the optimization formulation. This research paves the way for much more broad applications of robust design optimization in the future by incorporating more advanced FTA models into the optimization solution process, such as fuzzy sets and dynamic FTA.
Fault Tree Analysis for Robust Design
Jonathan DeGroff (Autor:in) / Gene Jean-Win Hou (Autor:in)
2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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