Throttle 发表于 2025-3-25 03:36:57
http://reply.papertrans.cn/47/4606/460579/460579_21.pngnegotiable 发表于 2025-3-25 10:38:35
Measurement of Microscopic Residual Stress Based on the Evolution of Surface Roughness During Shallsolution is presented. It is based on stress-induced surface roughening caused by shallow chemical etching..First, a theoretical result of stress-induced roughening in a shallow chemical etching is obtained for isotropic homogeneous solids. The theory predicts that in a shallow chemical etching thebadinage 发表于 2025-3-25 13:55:08
Affordable TMF Testing Supported by FE Simulations,ard test data is seldom sufficient to guide the modelling,or to calibrate the resulting model when one aims for predictive capability under component conditions. We therefore focus on improved testing as a basis for improved modelling..Constitutive characterisation tests have been performed and modearousal 发表于 2025-3-25 17:33:31
http://reply.papertrans.cn/47/4606/460579/460579_24.png规范就好 发表于 2025-3-25 21:06:08
Optical Method to Study Material Behaviour at High Strain Rates,pkinson bar type of arrangement where the loading is measured in the bar following the specimen. A high-speed camera of the image converter type is used to acquire time-resolved images during the loading. These images are evaluated using digital speckle photography to give the in-plane strain field.ADAGE 发表于 2025-3-26 02:28:56
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A One Step Prediction Error Approach to the Identification of Viscoplastic Material Models,nstitutive equations and one step predictions. The differences between one-step predictions and the corresponding measurements are used to design generic one-step prediction error estimators, and in particular, the maximum likelihood method is presented. The one-step predictions are computed through朋党派系 发表于 2025-3-26 17:14:28
Automated Identification and Calculation of the Parameters of Non-Linear Material Models,ters. These model parameters are adjusted with respect to experimental data. A numerical tool, called FitIt [.], for an automated optimisation of model parameters is described. The underlying methods are the Levenberg-Marquardt method and the simple Gradient-method. First and second order derivative