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Sensitivity based virtual fields for identifying hyperelastic constitutive parameters
Published in Bertrand Huneau, Jean-Benoit Le Cam, Yann Marco, Erwan Verron, Constitutive Models for Rubber XI, 2019
A. Tayeb, J.B. Le Cam, E. Robin, F. Canévet, M. Grédiac, E. Toussaint, X. Balandraud
where Bglob is the global strain-displacement matrix from a virtual mesh generated a priori. This matrix is obtained by assembling the elementary strain-displacement matrix obtained directly from the derivation of the shape functions with respect to the coordinates. U*(i) in Eq. (11) designates the virtual displacement field corresponding to the ith constitutive parameter. Note that this virtual displacement field is a test function and has no physical meaning. In practice, matrix Bglob should be modified to account for the boundary conditions of the region of interest (R.O.I). Typically, for edges where external loading is unknown a null displacement should be imposed. Therefore, a new matrix B̅glob is obtained from the original matrix Bglob. The virtual displacement field is then given by
Cloud segmentation property extraction from total sky image repositories using Python
Published in Instrumentation Science & Technology, 2019
Damien P. Igoe, Alfio V. Parisi, Nathan J. Downs
All data were integrated to the filename and saved as a row of a comma-separated value (.csv) text files that can be accessed in any data analysis program, such as Microsoft Excel. All sky-images in any directory with similarly defined filenames were searched for and analyzed in turn, then appended as a separate row in the .csv text file. Searching and performing the same processes to multiple files in multiple directories for defined filenames and types was performed using functions of the glob library. In the glob function, only those image files at 5-min intervals were taken by specifying that the final digit for the minutes in the date–time filename were either 0 or 5.