Sentence examples for specimens were predicted from inspiring English sources

The behavior and strength of extra assumed specimens were predicted using the developed FEM model.

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).

Fatigue lives of as-polished and shot peened specimens were predicted using the original Navarro-Rios model (monotonic damage model) and a more recent version of the same model (cyclic damage model).

The collapse load of both monolithic and strengthened specimens was predicted using a simplified section analysis procedure.

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.

With the evaluated equivalent thickness, the fracture toughness of corner cracked specimens is predicted efficiently by the plane-strain toughness value of the material obtained from the standard through-the-thickness specimen.

The ultimate load-carrying capacity of the tested specimens was predicted using the guidelines of ACI 318-11 ACI ACI 440.2R-08, while mid-span deflection response curves were predicted using ACI 318-11 guidelines.

As a result, the temperature evolution, residual stress distribution and final displacement field of the specimen were predicted.

According to these input parameters, in the fuzzy logic model, the compressive strength of each specimen was predicted.

According to these input parameters, in the ANFIS model, the impact resistance of each specimen was predicted.