Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Mise à jour et calibration de modèles par éléments finis× | Méthode de Fiabilité du Premier Ordre (FORM)× | |
|---|---|---|
| Domaine | Ingénierie de la fiabilité | Ingénierie de la fiabilité |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 2001 | 1969 |
| Auteur d'origine≠ | John Mottershead and Michael Friswell | Allin Cornell |
| Type≠ | System identification methodology | Reliability analysis method |
| Source fondatrice≠ | Mottershead, J. E., Link, M., & Friswell, M. I. (2011). The sensitivity method in finite element model updating: A tutorial. Mechanical Systems and Signal Processing, 25(7), 2275-2296. DOI ↗ | Cornell, C. A. (1969). A probability-based structural code. Journal of the American Concrete Institute, 66(12), 974-985. DOI ↗ |
| Alias≠ | Model updating, Model calibration, FEM updating | FORM, First-order second-moment method |
| Apparentées | 4 | 4 |
| Résumé≠ | Finite Element Model (FEM) Updating is the process of refining a numerical structural model to match measured behavior (modal properties, vibrations, static displacements) from the physical structure. By comparing computational predictions to experimental data and systematically adjusting uncertain model parameters (material properties, boundary conditions, joint stiffness), engineers create more accurate models for design decisions, damage detection, and life prediction. Formalized by Mottershead and Friswell, FEM updating bridges the gap between idealized computer models and real-world structures. | The First-Order Reliability Method (FORM) is a probabilistic technique for estimating the probability of structural failure given uncertain input parameters. Developed by Allin Cornell in 1969 and refined by Hasofer and Lind in 1974, FORM provides a computationally efficient approximation to the true failure probability by linearizing the limit-state function at the most probable failure point. It has become the cornerstone of modern structural reliability analysis and risk-based design. |
| ScholarGateJeu de données ↗ |
|
|