Sentence examples for specimens predicted by from inspiring English sources

Based on the experimental results, it was found that the tension strengths of test specimens predicted by the AISC-Code [Load and resistance factor design specification for structural steel buildings, Chicago, IL, 1999], which takes into account the shear lag effect, provide good correlation with the test results for most specimens.

Since all molecular methods tended to split morphospecies, we decided to risk taxonomic lumping, and classified ELs as the most comprehensive grouping of specimens predicted by any of the five delimitation methods.

The maximum inclusion size in the critical volume of a specimen predicted by the extremal statistics is 7.9 μm.

The creep rupture life of the notched specimen predicted by finite element calculation incorporating a multi-axial creep CDM model was in good agreement with the experimental results.

Creep tests on Ni-based single-crystal superalloy sheet specimens typically show greater creep strain rates and/or reduced strain or time to creep rupture for thinner specimens than predicted by current theories, which predict a size-independent creep strain rate and creep rupture strain.

Based on these studies, crack growth lives for three different kinds of specimens are predicted by the AFGROW computer program and compared with experimental tests.

By considering the combined influence of singular (KI) and first non-singular (T) components in the crack tip stress/strain field, the KIc data obtained from these two specimens were predicted by means of the maximum normal strain theory.

The local values of the main field variables at the contact interface between the specimens were predicted by a Lagrangian, implicit, thermo-mechanical FEM model and used as input of a dedicated Neural Network (NN).

Crack growth life of the open-hole specimen was predicted by employing an analytical residual stress model and the AFGROW computer code.

Despite the relatively small number of FFPE samples, a large fraction of the candidate miRNAs was again found to be deregulated with respect to all normal tissue specimens exactly as predicted by the discovery set.

The class of the omitted specimen was then predicted by computing the value of the compound covariate for the specimen, and which side of the threshold it fell on (that is, which class mean it was closest to) was determined.