组成
发表于 2025-3-23 11:14:58
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身心疲惫
发表于 2025-3-23 15:46:56
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和平主义
发表于 2025-3-23 20:58:42
On a Description of Aeroplanes and Aeroplane Components Using Irreducible Element Models,e improved by using transfer learning. The transfer learning was aided by generating abstract representations of the components; these abstract representations are called . (IE) models. Such IE models have been applied previously for real-world bridge structures, encoding expert knowledge on the con
amputation
发表于 2025-3-24 01:02:44
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PAEAN
发表于 2025-3-24 02:29:09
Simulation-Based Damage Detection for Composite Structures with Machine Learning Techniques,ealth monitoring (SHM) and damage detection methods for these components. Nondestructive testing (NDT) techniques such as laser Doppler vibrometry (LDV) provide a valuable experimental setting for making measurements with dense grids of points without mass loading the structure. The use of machine l
Aerate
发表于 2025-3-24 06:45:51
Synthesizing Dynamic Time-Series Data for Structures Under Shock Using Generative Adversarial Netwognals, both uni- and multi-variate. However, experimental testing of high-value structures can be cost and time prohibitive. While finite element modeling can generate additional datasets, it lacks the fidelity to reproduce the non-stationarities present in the signal, particularly at the higher end
Pelago
发表于 2025-3-24 12:36:02
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Amorous
发表于 2025-3-24 18:46:56
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Indolent
发表于 2025-3-24 21:12:28
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nascent
发表于 2025-3-25 02:50:08
Model Updating for Nonlinear Dynamic Digital Twins Using Data-Based Inverse Mapping Models,om measurements on the real system. Here, the inverse model is given by an artificial neural network that is trained using simulated data. By using a simple nonlinear multibody model, it is illustrated that this method is able to accurately and precisely update parameter values with low computational effort.