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A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses
Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
[HTML][HTML] Methods for enabling real-time analysis in digital twins: A literature review
This paper presents a literature review on methods for enabling real-time analysis in digital
twins, which are virtual models of physical systems. The advantages of digital twins are …
twins, which are virtual models of physical systems. The advantages of digital twins are …
Virtual, digital and hybrid twins: a new paradigm in data-based engineering and engineered data
Engineering is evolving in the same way than society is doing. Nowadays, data is acquiring
a prominence never imagined. In the past, in the domain of materials, processes and …
a prominence never imagined. In the past, in the domain of materials, processes and …
Data-driven non-linear elasticity: constitutive manifold construction and problem discretization
R Ibañez, D Borzacchiello, JV Aguado… - Computational …, 2017 - Springer
The use of constitutive equations calibrated from data has been implemented into standard
numerical solvers for successfully addressing a variety problems encountered in simulation …
numerical solvers for successfully addressing a variety problems encountered in simulation …
From ROM of electrochemistry to AI-based battery digital and hybrid twin
A Sancarlos, M Cameron, A Abel, E Cueto… - … Methods in Engineering, 2021 - Springer
Lithium-ion batteries are widely used in the automobile industry (electric vehicles and hybrid
electric vehicles) due to their high energy and power density. However, this raises new …
electric vehicles) due to their high energy and power density. However, this raises new …
A multidimensional data‐driven sparse identification technique: the sparse proper generalized decomposition
R Ibáñez, E Abisset-Chavanne, A Ammar… - …, 2018 - Wiley Online Library
Sparse model identification by means of data is especially cumbersome if the sought
dynamics live in a high dimensional space. This usually involves the need for large amount …
dynamics live in a high dimensional space. This usually involves the need for large amount …
Handling noise and overfitting in surrogate models based on non-uniform rational basis spline entities
This paper proposes a general and systematic approach to generate a surrogate model
based on non-uniform rational basis spline (NURBS) hyper-surfaces as a solution of a …
based on non-uniform rational basis spline (NURBS) hyper-surfaces as a solution of a …
Digital twins that learn and correct themselves
Digital twins can be defined as digital representations of physical entities that employ real‐
time data to enable understanding of the operating conditions of these entities. Here we …
time data to enable understanding of the operating conditions of these entities. Here we …
[PDF][PDF] Model order reduction
This chapter presents an overview of Model Order Reduction–a new paradigm in the field of
simulationbased engineering sciences, and one that can tackle the challenges and leverage …
simulationbased engineering sciences, and one that can tackle the challenges and leverage …
Spectral tensor-train decomposition
The accurate approximation of high-dimensional functions is an essential task in uncertainty
quantification and many other fields. We propose a new function approximation scheme …
quantification and many other fields. We propose a new function approximation scheme …