Sentence examples for output strain from inspiring English sources

Multiple constraints on good isotropic measurement and safety are considered and formulated using the output strain of each strain gauge circuit.

To reduce computation time, response surface method, which approximates the output strain with respect to input random variable (RV) with the design of experiment (DOE) procedure, is used to perform reliability analysis.

Although strain averages do not quantify the energy dissipation in the specimen, the energy absorption performance ((E_{Loss})) still can be estimated by Eq. 7 because strain difference between input strain (incident) and output strain (reflected and transmitted) represents the energy dissipation in the specimen.

With the identifier by employing the recursive extended least square method, an online controlled autoregressive moving average (CARMA) model for the smart beam is proposed to characterize the hysteresis phenomena between the output strain near the fixed end of the cantilever beam and the input voltage applied on the piezoelectric actuator.

The effects of variation in those parameters on performance measures were evaluated by examining bite force output, strain energy, temporomandibular joint reaction forces, and stress distribution [30].

The CI was calculated using the formula: CI = output (strain A/strain B /inoculum (strain A/strain B).

This paper presents experimental results to delineate these findings and explore the effect of prior strain rate on the qualitative and quantitative changes in the output (strain-time) behavior.

We then designed a double PPS for measuring six components of forces and moments and predicted output strains.

These phenotypes were confirmed by comparing the growth of the input and output strains on solid minimal medium containing 0.2% of the different carbon sources.

αmax was estimated by monitoring the growth rates of the output strains in batch cultures at high thymine concentrations (10 μM) and θmax by monitoring death rate in the absence of thymine.

Within this framework, Artificial Neural Networks (ANN) seem to be promising in reproducing the material mechanical behaviour, since they can be trained to learn the relation between input (strain) and output (stress) without the need of setting any explicit analytic stress-strain law.