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The rational design of smart actuators based on shape memory alloys requires reliable strength data from the thermo-mechanical cycling of the material (functional fatigue).
The criterion was derived by curve-fitting mathematical expressions to axisymmetric strength data from a test programme on concretes of different weights previously published.
It is important to consider the effect of specimen size on strength when carrying out tests on composites, and to take account of it when using strength data from small coupons in the design of large structures.
In this paper we describe the design and implementation of sensor-system that uses received signal strength data from multiple strategically placed sensor nodes to localize the game asset to an accurate camera region within a latency of 100ms.
Strength data from macroscopically identical glass specimens is commonly described by a two-parameter Weibull distribution, but there is lack of research on the methods used for fitting strength data to the Weibull distribution.
The modelling approach is validated using experimental temperature and strength data from fire structural tests performed on woven glass vinyl ester laminates insulated with passive (ceramic fibre mat) or organic intumescent surface coatings.
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In the present paper, the previsions thus obtained were compared with fatigue strength data taken from the literature and highly conservative results were found.
The tool is demonstrated by using fracture strength data obtained from ASTM D3039 tension tests of 19 identical carbon epoxy composite specimens.
Strength data recorded from three-point-bend tests have been regarded in the first case, whereas in the second case, ball-on-ring test results have been considered.
The K S (Kolmogorov Smirnov) test is applied to decide whether the shear strength data comes from a hypothesized probability distribution.
Structural elements, such as stiffened panels, are designed by combining material strength data obtained from coupon tests with a failure theory for 3D stress field.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com