'number of loadings' is a correct and usable phrase in written English.
You can use it to refer to the number of times something is loaded or unloaded, or to count the number of "loadings" of a particular item. For example, "The maintenance staff noted the number of loadings on the truck before and after the delivery run."
The results showed that the behavior of concrete before and after peak loading depended on the number of loadings as well as the loading rate.
This behavior allowed a further increase in the number of loadings that could be performed repeatedly.
The compaction pressure, the number of loadings, the binder content, and the compaction duration are important factors.
This makes it possible to get quickly the result due to a large number of loadings as desired in engineering design practice.
However, statistically significant measurement bias may result from a limited number of parameters rather than bias across the entire set of item, e.g., a small number of loadings.
Specifically, the anabolic responses that occur when loading is applied in a dynamic fashion do not occur with static loading.[ 1] Within the dynamic loading regime, mechanical loading parameters (i.e., strain magnitude, loading frequency, strain waveform, and number of loading cycles) can have an important effect of outcome.
Experimental data (crack size after a particular number of loading cycles) and statistical methods are used to calibrate the EIFS.
During plasma operation, a large number of loading condition scenarios have been considered and structural analysis performed on key items like Cable-In-Conduit Conductor and the coil case.
This article examines the effect of different factors (material thickness, degree of densification and number of loading cycles) on the selected bending characteristics of European beech (Fagus sylvatica L). and European aspen (Populus tremula L).
This article focuses on the analysis of the effect of certain factors (wood species, degree of densification, material thickness and number of loading cycles) on the modulus of elasticity (MOE), limit of proportionality (LOP) and elastic potential (PE) of beech and aspen wood lamellae measured in the elastic region of the stress-strain curve under bending loading.
The different selections for the numbers of loadings and latent vectors can control the personalization model complexity and improve the predicting performance.
