Zobrazeno 1 - 10
of 460
pro vyhledávání: '"Sudret, Bruno"'
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
Multi-fidelity surrogate models combining dimensionality reduction and an intermediate surrogate in the reduced space allow a cost-effective emulation of simulators with functional outputs. The surrogate is an input-output mapping learned from a limi
Externí odkaz:
http://arxiv.org/abs/2408.17075
Bayesian analysis enables combining prior knowledge with measurement data to learn model parameters. Commonly, one resorts to computing the maximum a posteriori (MAP) estimate, when only a point estimate of the parameters is of interest. We apply MAP
Externí odkaz:
http://arxiv.org/abs/2408.03569
Publikováno v:
Peer Community Journal, Vol 1, Iss , Pp - (2021)
The breeding of resistant hosts based on the gene-for-gene interaction is crucial to address epidemics of plant pathogens in agroecosystems. Resistant host deployment strategies are developed and studied worldwide to decrease the probability of resis
Externí odkaz:
https://doaj.org/article/88102504f2db44128945e83ecd70288e
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
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
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
Publikováno v:
In Reliability Engineering and System Safety August 2024 248