Analytical and computational methods for non-Gaussian reliability analysis of nonlinear systems operating in stochastic environments
Statistical problems arise in many areas of ocean engineering, such as ship seakeeping, structural reliability, and design, and can be caused both by uncertainty in materials and construction, and by the inherently stochastic nature of random waves. Due to the dynamical nonlinearity of these systems...
Main Author: | Guth, Stephen Carrol |
---|---|
Other Authors: | Sapsis, Themistoklis P. |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2023
|
Online Access: | https://hdl.handle.net/1721.1/152670 |
Similar Items
-
Generative Stochastic Modeling of Strongly Nonlinear Flows with Non-Gaussian Statistics
by: Arbabi, Hassan, et al.
Published: (2024) -
Analytic Methods for Estimating the Effects of Stochastic Intermittent Loading on Fatigue-Crack Nucleation
by: Guth, Stephen, et al.
Published: (2024) -
Derivation of extreme non-gaussian stochastic offshore structural responses using finite memory nonlinear system
by: Mukhlas, Nurul ’Azizah
Published: (2024) -
An exploration of data-driven techniques for predicting extreme events in intermittent dynamical systems
by: Guth, Stephen Carrol.
Published: (2020) -
Resource theory of non-Gaussian operations
by: Zhuang, Quntao, et al.
Published: (2018)