On the use of Directional Importance Sampling for reliability-based design and optimum design sensitivity of linear stochastic structures

verfasst von: Danko J. Jerez, Héctor A. Jensen, Marcos A. Valdebenito, Mauricio A. Misraji, Franco Mayorga, Michael Beer
Abstract: This contribution focuses on reliability-based design and optimum design sensitivity of linear dynamical structural systems subject to Gaussian excitation. Directional Importance Sampling (DIS) is implemented for reliability assessment, which allows to obtain first-order derivatives of the failure probabilities as a byproduct of the sampling process. Thus, gradient-based solution schemes can be adopted by virtue of this feature. In particular, a class of feasible-direction interior point algorithms are implemented to obtain optimum designs, while a direction-finding approach is considered to obtain optimum design sensitivity measures as a post-processing step of the optimization results. To show the usefulness of the approach, an example involving a building structure is studied. Overall, the reliability sensitivity analysis framework enabled by DIS provides a potentially useful tool to address a practical class of design optimization problems.
Organisationseinheit(en): Institut für Risiko und Zuverlässigkeit
Externe Organisation(en): Universidad Tecnica Federico Santa Maria
Universidad Adolfo Ibanez
Consulting Engineer
University of California (UCLA)
Tongji University
The University of Liverpool
Typ: Artikel
Journal: Probabilistic Engineering Mechanics
Band: 70
ISSN: 0266-8920
Publikationsdatum: 10.2022
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Statistische und nichtlineare Physik, Tief- und Ingenieurbau, Kernenergie und Kernkraftwerkstechnik, Physik der kondensierten Materie, Luft- und Raumfahrttechnik, Meerestechnik, Maschinenbau
Elektronische Version(en): https://doi.org/10.1016/j.probengmech.2022.103368 (Zugang: Geschlossen)