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A new expression for predicting strain at fracture has been proposed that provides a lower bound estimate of the test results derived in the current study.
An extensive parametric study using detailed nonlinear finite element (FE) models, was conducted in order to develop a design equation for predicting Strain Concentration Factor (SCF) in field joints of X65 concrete coated pipelines under bending.
Since in these analyses only modulus of elasticity of the deck or piers was varied, predicting strain and stress by hand calculation is almost impossible, and a computer-based FE modeling should be implemented to get any meaningful output.
Among the biomarkers analyzed in saliva, GCP-2, IP-10 and RANTES exhibited the greatest potential in predicting strain membership.
They represent the relative importance of the collinear variables, combined in an individual component, in predicting strain membership.
Thus, short of developing 20/20 foresight, predicting strain variation or the emergence of a particular pandemic strain (avian or otherwise) is unlikely (30 ).
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In addition, the trained neural networks were capable of predicting strains for the unseen input data set.
Compared to the previous model (Luo and Cheng 2009), the discontinuity problems at some prediction points are totally avoided in the predicted strain profile (similarly in slope, horizontal displacement and curvature profiles) using the new prediction method.
The experimental values were compared with predicted strain values for plane concrete beam using prediction model code for same size of beam.
The theoretical predicted strain agrees well with the measurements.
The distribution of microhardness across the cross-section confirmed the predicted strain distribution.
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