Sentence examples for variability in properties from inspiring English sources
Advanced approaches use new materials biocomposites and their development has to be knowledge-based, whereas predominant issues are resource saving, variability in properties and functionality, lightweight, low costs, and eco-efficiency at all stages of the product life cycle.
Uniaxial compression loading tests were carried out to investigate the variability in stress-strain relationship of recycled aggregate concrete (RAC) due to intrinsic variability in properties of recycled coarse aggregates (RCAs).
A repeated measures experimental design (RMED) was used to account for variability in properties among bovine menisci and was achieved by testing all treatments/controls on slices from each meniscus.
The variability in properties and their source(s) were compared to that of other engineering materials, while the nature of deformation via shear bands as well as fracture surface features have been determined using scanning electron microscopy (SEM).
The particularities of the wood fibers that could affect the applicability of models developed for composites with synthetic fibers are their rather large variability in properties, helical structure, general anisotropy, pits, etc.
To capture this variability in property meaning, we paired each property with two concepts, resulting in two different concept-property items.
The plant growth characteristics are spatially variable due to inherent variability in soil properties and other parameters of the landscape.
Uncertainty analysis based on Monte Carlo simulations indicates that mean values of tracer properties, which do not account for sampling variability in these properties, probably overestimate contributions from the two major sources.
In addition to absence of standard methods for characterizing properties of magnetostrictive materials, it is a possibility that previously reported variability in magnetostrictive properties is from production methods of these polycrystalline materials that do not yield consistent properties.
The objective of this work was to examine: (i) the spatial variability of soybean yields across an agricultural field with different soils and inputs; (ii) how spatial variability in soil properties translates into the variability of measured and predicted yields; (iii) how scaling soil properties affects model accuracy in predicting soybean yields for different weather conditions.
These issues concern the clients about the stability of production and variability in aggregate properties.
