Exact(1)
Therefore, differences in ϕ'cs of different specimen sizes can lead to different bearing capacity factors, with the smaller specimen size producing a higher Nγ value.
Similar(59)
The advantages of modern test methods like digital image correlation, as well as some limitations connected to small specimen size, are analyzed.
The static bending and torsion behaviors developed by the non-classical theory show significant differences with those obtained by the classical theory when the ratio of the characteristic beam size to the internal material length scale parameter is small, or for small specimen sizes.
The static bending and torsion behaviors developed by the non-classical theory show significant differences with those obtained by the classical theory, when the ratio of the beam characteristic size to the internal material length scale parameter is small, or for small specimen sizes.
An accurate portrayal of the entire tumor may not be represented in our study due to the nature of TMAs with regard to the small tissue specimen size.
The range of specimen volumes was selected to elucidate any specimen size effect, but smaller volume specimen tests were largely unsuccessful, shear failure did not occur between the notches as expected.
Experimental investigation of Fibre Reinforced Polymer (FRP) confined concrete is normally conducted on relatively small-scale specimens, where the scaling effects of the specimen size are usually ignored.
The influence of specimen size has been found to be small.
Also the specimen size seems of importance since large-sized (50 – 70 mm) surgical specimens exhibits higher resistance (31 – 312 Ω·cm) [ 25- 28] compared to small-sized (0.65 – 5 mm) biopsy specimens (12 – 30 Ω·cm) in this study and others [ 16, 24, 29].
The experimental observation has revealed that reducing the specimen size will arise the specific strength of small notched specimen which cannot be predicted using the cell damage model.
It is shown that reducing the specimen size will increase the specific material strength in small specimens, which cannot be predicted using a conventional damage model.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com