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Recent laboratory tracer tests in a heterogeneous test aquifer have suggested that some differences may exist.
Numerical results are presented for two- and three-dimensional heterogeneous test cases.
Concurrently, a novel stereolithography-based three-dimensional (3D) printing system is developed and used for fabricating heterogeneous test specimens with well-controlled structural and material properties.
The α1d pharmacophore was based primarily on one structural class of compounds, but has good predictivity for a heterogeneous test set.
A detailed comparison of scalability, performance, and efficiency on thousands of processors is established for two- and three-dimensional heterogeneous test cases.
The major features of this new algorithm are its ability to identify the material parameters which describe the thermomechanical behavior of shape memory alloys from full-field measurements for various loading conditions (different temperatures, multiaxial behavior, heterogeneous test configurations).
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In the present work, an innovative numerical optimization process for the design of heterogeneous tests is presented.
With the development of full-field measurement methods, recent material parameters identification strategies take advantage of the use of heterogeneous tests.
It is demonstrated that model parameters for the simulation of SMA structures are thus obtained based on a reduced number of heterogeneous tests at different temperatures.
In order to demonstrate the relevance of the proposed indicator, numerical simulations of classical as well as recent heterogeneous tests were carried out using as input the virtual mechanical behavior of DC04 mild steel.
For the heterogeneous tests, the proposed MMDT was compared with ARC-t [28], HFA [23], and SVM trained only on the target data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com