Sentence examples for specimen are predicted from inspiring English sources

Additionally, the location of failure and fatigue life of a thermomechanically loaded double-sided notched specimen are predicted with high accuracy.

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.

The fatigue life of the specimen was predicted based on the size and location of porosity using a fatigue crack growth approach.

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

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.

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

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

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).