Results 31 to 40 of about 24,483 (292)
Proper generalized decomposition of time-multiscale models [PDF]
, 2011 Models encountered in computational mechanics could involve many time scales. When these time scales cannot be separated, one must solve the evolution model in the entire time interval by using the finest time step that the model implies.
CHINESTA SORIA, Francisco +8 more
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Individualized Prediction of Colorectal Cancer Metastasis Using a Radiogenomics Approach
Frontiers in Oncology, 2021 Objectives: To evaluate whether incorporating the radiomics, genomics, and clinical features allows prediction of metastasis in colorectal cancer (CRC) and to develop a preoperative nomogram for predicting metastasis.Methods: We retrospectively analyzed ...
Qin Liu +11 more
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Model Reduction and Coarse-Graining Approaches for Multiscale Phenomena [PDF]
, 2006 Model reduction and coarse-graining are important in many areas of science and engineering. How does a system with many degrees of freedom become one with fewer? How can a reversible micro-description be adapted to the dissipative macroscopic model? These crucial questions, as well as many other related problems, are discussed in this book.
Gorban, Alexander N. +4 more
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In situ adaptive reduction of nonlinear multiscale structural dynamics models
International Journal for Numerical Methods in Engineering, 2020 SummaryConventional offline training of reduced‐order bases in a predetermined region of a parameter space leads to parametric reduced‐order models that are vulnerable to extrapolation. This vulnerability manifests itself whenever a queried parameter point lies in an unexplored region of the parameter space.
Wanli He, Philip Avery, Charbel Farhat
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Space–time proper generalized decompositions for the resolution of transient elastodynamic models [PDF]
, 2013 In this paper, we investigate ability of proper generalized decomposition (PGD) to solve transient elastodynamic models in space–time domain. Classical methods use time integration schemes and an incremental resolution process.
BOUCINHA, Lucas +2 more
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Model Reduction for Multiscale Lithium-Ion Battery Simulation [PDF]
, 2016 In this contribution we are concerned with efficient model reduction for multiscale problems arising in lithium-ion battery modeling with spatially resolved porous electrodes. We present new results on the application of the reduced basis method to the resulting instationary 3D battery model that involves strong non-linearities due to Buttler-Volmer ...
Mario Ohlberger +2 more
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Model order reduction for FE-FFT-based multiscale material modeling
The material behavior of a structural component is determined by the underlying microstructure and its associated features and local interactions. Therefore, multiscale simulations can provide valuable information on the overall constitutive response of the material and thus on its use in practical applications.
Gierden, Christian
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Mathematics, 2023 In this work, we consider a polymer flooding process in heterogeneous media. A system of equations for pressure, water saturation, and polymer concentration describes a mathematical model.
Maria Vasilyeva, Denis Spiridonov
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Multiscale YOLOv5-AFAM-Based Infrared Dim-Small-Target Detection
Applied Sciences, 2023 Infrared detection plays an important role in the military, aerospace, and other fields, which has the advantages of all-weather, high stealth, and strong anti-interference.
Yuexing Wang +4 more
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Computational multiscale modeling of fracture and its model order reduction
, 2023 This thesis focuses on the numerical modeling of fracture and its propagation in heterogeneous materials by means of hierarchical multiscale models based on the FE2 method, addressing at the same time, the problem of the excessive computational cost through the development, implementation and validation of a set of computational tools based on reduced ...
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