Response simulating interpolation methods for expanding experimental data based on numerical shape functions
Abstract
An important issue in the existing interpolation methods is that their estimation accuracy usually cannot satisfy the analytical demand to expand experimental data, especially in the case of a few sample points, due to the essential deficiency of physical significance. To address the issue, this study presents an innovative category of interpolation methods which integrates the interpolation with the simulated response characteristics of...
Paper Details
Title
Response simulating interpolation methods for expanding experimental data based on numerical shape functions
Published Date
Jul 1, 2019
Journal
Volume
218
Pages
1 - 8
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