Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Data-driven streamline stiffener path optimization (SSPO) for sparse stiffener layout design of non-uniform curved grid-stiffened composite (NCGC) structures
The homogenization-based streamline stiffener path optimization (SSPO) method was
previously proposed by the authors for stiffener layout design of non-uniform curved grid …
previously proposed by the authors for stiffener layout design of non-uniform curved grid …
Reduced order modeling via PGD for highly transient thermal evolutions in additive manufacturing
B Favoretto, CA De Hillerin, O Bettinotti… - Computer Methods in …, 2019 - Elsevier
In this paper, a highly performing model order reduction technique called Proper
Generalized Decomposition (PGD) is applied to the numerical modeling of highly transient …
Generalized Decomposition (PGD) is applied to the numerical modeling of highly transient …
A reduced multiscale model for nonlinear structural topology optimization
This paper presents a reduced multiscale model for macroscopic structural design
considering microscopic material nonlinear microstructures. This work introduces Reduced …
considering microscopic material nonlinear microstructures. This work introduces Reduced …
Approximated Lax pairs for the reduced order integration of nonlinear evolution equations
A reduced-order model algorithm, called ALP, is proposed to solve nonlinear evolution
partial differential equations. It is based on approximations of generalized Lax pairs …
partial differential equations. It is based on approximations of generalized Lax pairs …
Projection-based reduced order models for flow problems: A variational multiscale approach
In this paper we present a Variational Multi-Scale stabilized formulation for a general
projection-based Reduced Order Model. In the stabilized formulation we address techniques …
projection-based Reduced Order Model. In the stabilized formulation we address techniques …
A stochastic LATIN method for stochastic and parameterized elastoplastic analysis
The LATIN method has been developed and successfully applied to a variety of
deterministic problems, but few work has been developed for nonlinear stochastic problems …
deterministic problems, but few work has been developed for nonlinear stochastic problems …
'On-the-fly'snapshots selection for Proper Orthogonal Decomposition with application to nonlinear dynamics
P Phalippou, S Bouabdallah, P Breitkopf… - Computer Methods in …, 2020 - Elsevier
Over the last few decades, Reduced Order Modeling (ROM) has slowly but surely inched
towards widespread acceptance in computational mechanics, as well as other simulation …
towards widespread acceptance in computational mechanics, as well as other simulation …
[HTML][HTML] An algorithmic comparison of the hyper-reduction and the discrete empirical interpolation method for a nonlinear thermal problem
A novel algorithmic discussion of the methodological and numerical differences of
competing parametric model reduction techniques for nonlinear problems is presented. First …
competing parametric model reduction techniques for nonlinear problems is presented. First …
A priori hyper-reduction method for coupled viscoelastic–viscoplastic composites
In this paper, a mean field homogenization (MFH) method is compared to the hyper-
reduction (HR) method. The homogenization of concern aims to forecast the mechanical …
reduction (HR) method. The homogenization of concern aims to forecast the mechanical …
Model order reduction of nonlinear thermo-hydro-mechanical systems by means of elastic and plastic domain sub-structuring
A model order reduction approach combining reduced basis (RB) projection and sub-
structuring by domain decomposition is developed to tackle nonlinear elasto-plasticity in …
structuring by domain decomposition is developed to tackle nonlinear elasto-plasticity in …