Sentence examples for strength estimation from inspiring English sources

The Genetic Algorithm Welding Strength Estimation Model (GAWSEM) is developed to estimate the mechanical properties of the welded joint for the brass materials.

The genetic algorithm laser welding strength estimation model (GALWSEM) was developed to estimate the mechanical properties of the welded joint for alloy materials.

A genetic algorithm tensile strength estimation model (GATSEM) was developed to estimate the strength of adhesively bonded tongue and groove joints.

Genetic algorithm shear strength estimation model (GASSEM) is used to estimate the shear strength of the adhesively bonded tubular joint for the surface roughness, bonding clearance, interference fit, temperature and adherent, such as steel, bronze and aluminum material.

In order to verify the safety of existing strength estimation equations, test results were compared with estimated values.

Genetic Algorithm Fatigue Strength Estimation Model for Tongue and Groove Joints was developed to estimate the fatigue strength of the adhesively bonded joint.

The model ensures precise strength estimations with error percentages below 7%.

The training subset represented the available experimental data comprising both the cross-sectional details and their corresponding flexural strength estimations while the testing subset represented only the experimental measurements without their equivalent flexural strength estimations.

The trained models were then used to predict the required flexural strength estimations given the desired experimental measurements.

Finally, application examples of this methodology are provided to illustrate some important implications of the spatial correlation of core test values on concrete strength estimations.

To assess the hull girder strength, estimations of both extreme load which may act on the hull girder and the capacity of the hull girder are necessary, and many research works have been performed from this aspect.