Rapid iterative detection (RID)
US-9213913-B1 · Dec 15, 2015 · US
US9311566B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9311566-B2 |
| Application number | US-201313958247-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 2, 2013 |
| Priority date | Aug 3, 2012 |
| Publication date | Apr 12, 2016 |
| Grant date | Apr 12, 2016 |
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A method and system for measuring and determining the full-field spatial distributions of strain tensor field components in a two or three-dimensional space, as a consequence of deformation under generalized loading conditions. One or more digital cameras may be used to acquire successive images of a deforming body with optically distinctive features on its surface. A method for determining the location of characteristic points of the surface features and another one for tracking these points as deformation occurs. Elongations between neighboring points on the vicinity of a location of interest are computed. The elongation between points is calculated even though discontinuities may exist between them. Strain tensor fields are directly calculated as a tensor approximation from these elongations without determining or using the displacement vector distributions.
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method for determining strain characteristics in a vicinity of a point of interest w={x w , y w } T in two parametric dimensions embedded in a two or three dimensional space, wherein the point of interest w is part of a deformable domain or body having a plurality of features which may be represented as a node pattern of n nodes, the method comprising: receiving a first set of captured data of a plurality of features and representing the plurality of features by nodes indexed by i or j in the domain in an un-deformed configuration; receiving a second set of captured data of the plurality of features represented by nodes i,j in the domain in a deformed configuration; measuring engineering strains e i,j between a plurality of node combinations in the vicinity of w to produce e w ={e 21 , e 31 , . . . e 42 . . . , e n(n-1) } T ; and applying an approximation or interpolation to the engineering strains e i,j to approximate strain ε h in the vicinity of w. 2. The method of claim 1 , wherein the approximation defines an overdetermined system of equations. 3. The method of claim 1 , wherein the moving least squares approximation expresses strain ε h in two parametric dimensions embedded in a two or three dimensional space by ɛ xx h ( w ) ≡ ɛ xx h ( w ; w ) = Φ xx ( w ) e w ɛ yy h ( w ) ≡ ɛ yy h ( w ; w ) = Φ yy ( w ) e w ɛ xy h ( w ) ≡ ɛ xy h ( w ; w ) = Φ xy ( w ) e w } where Φ α (w)=p T (w)M α (w) are shape functions of strain components for the vicinity of w for α=xx, yy, xy. 4. The method of claim 3 , wherein the first and second sets of captured data each being a digital images, and further comprising identifying real mean strain e i,j between a number of node combinations by e ij = ɛ xx ′ _ ( x i , x j ) = l ij ′
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