Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Marelli, Stefano P."'
Reliability analysis is a sub-field of uncertainty quantification that assesses the probability of a system performing as intended under various uncertainties. Traditionally, this analysis relies on deterministic models, where experiments are repeata
Externí odkaz:
http://arxiv.org/abs/2412.13731
We propose a novel feature-centric approach to surrogate modeling of dynamical systems driven by time-varying exogenous excitations. This approach, named Functional Nonlinear AutoRegressive with eXogenous inputs (F-NARX), aims to approximate the syst
Externí odkaz:
http://arxiv.org/abs/2410.07293
Reliability analysis aims at estimating the failure probability of an engineering system. It often requires multiple runs of a limit-state function, which usually relies on computationally intensive simulations. Traditionally, these simulations have
Externí odkaz:
http://arxiv.org/abs/2401.10796
Emulating high-accuracy computationally expensive models is crucial for tasks requiring numerous model evaluations, such as uncertainty quantification and optimization. When lower-fidelity models are available, they can be used to improve the predict
Externí odkaz:
http://arxiv.org/abs/2401.06447
The probabilistic design of offshore wind turbines aims to ensure structural safety in a cost-effective way. This involves conducting structural reliability assessments for different design options and considering different structural responses. Ther
Externí odkaz:
http://arxiv.org/abs/2312.04972
Implementations of Markov chain Monte Carlo (MCMC) methods need to confront two fundamental challenges: accurate representation of prior information and efficient evaluation of likelihoods. Principal component analysis (PCA) and related techniques ca
Externí odkaz:
http://arxiv.org/abs/2307.04228
We propose a novel surrogate modelling approach to efficiently and accurately approximate the response of complex dynamical systems driven by time-varying exogenous excitations over extended time periods. Our approach, namely manifold nonlinear autor
Externí odkaz:
http://arxiv.org/abs/2306.16335
Publikováno v:
Reliability Engineering & System Safety, vol. 248 (110150), August 2024, p. 1-14
System reliability analysis aims at computing the probability of failure of an engineering system given a set of uncertain inputs and limit state functions. Active-learning solution schemes have been shown to be a viable tool but as of yet they are n
Externí odkaz:
http://arxiv.org/abs/2305.19885
Autor:
Ferrari, Carlotta1 (AUTHOR), Marelli, Stefano P.1 (AUTHOR), Bagnato, Alessandro1 (AUTHOR), Cerolini, Silvia1 (AUTHOR), Strillacci, Maria G.1 (AUTHOR) maria.strillacci@unimi.it
Publikováno v:
Animal Biotechnology. Nov2024, Vol. 35 Issue 1, p1-14. 14p.
Stochastic simulators are non-deterministic computer models which provide a different response each time they are run, even when the input parameters are held at fixed values. They arise when additional sources of uncertainty are affecting the comput
Externí odkaz:
http://arxiv.org/abs/2207.05653