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Probabilistic Assessment of Structural Integrity

Gorde:
Argitaratua izan da:Axioms vol. 13, no. 3 (2024), p. 154
Egile nagusia: Alzbutas, Robertas
Beste egile batzuk: Dundulis, Gintautas
Argitaratua:
MDPI AG
Gaiak:
Finite element method
Software
Random variables
Structural safety
Material properties
Nuclear power plants
Probabilistic analysis
Statistical analysis
Uncertainty
Computer simulation
Computer program integrity
Design optimization
Monte Carlo simulation
Probabilistic models
Dynamic loads
Transient analysis
Nuclear safety
Failure analysis
Probabilistic methods
Structural integrity
Aging
Impact loads
Probability
Methods
Finite element analysis
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Laburpena:A probability-based approach, combining deterministic and probabilistic methods, was developed for analyzing building and component failures, which are especially crucial for complex structures like nuclear power plants. This method links finite element and probabilistic software to assess structural integrity under static and dynamic loads. This study uses NEPTUNE software, which is validated, for a deterministic transient analysis and ProFES software for probabilistic models. In a case study, deterministic analyses with varied random variables were transferred to ProFES for probabilistic analyses of piping failure and wall damage. A Monte Carlo Simulation, First-Order Reliability Method, and combined methods were employed for probabilistic analyses under severe transient loading, focusing on a postulated accident at the Ignalina Nuclear Power Plant. The study considered uncertainties in material properties, component geometry, and loads. The results showed the Monte Carlo Simulation method to be conservative for high failure probabilities but less so for low probabilities. The Response Surface/Monte Carlo Simulation method explored the impact load–failure probability relationship. Given the uncertainties in material properties and loads in complex structures, a deterministic analysis alone is insufficient. Probabilistic analysis is imperative for extreme loading events and credible structural safety evaluations.
ISSN:2075-1680
DOI:10.3390/axioms13030154
Baliabidea:Engineering Database