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In transportation engineering, the K factor is defined as the proportion of annual average daily traffic occurring in an hour. [1] This factor is used for designing and analyzing the flow of traffic on highways. K factors must be calculated at a continuous count station, usually an "automatic traffic recorder", for a year before being determined.
In fracture mechanics, the stress intensity factor (K) is used to predict the stress state ("stress intensity") near the tip of a crack or notch caused by a remote load or residual stresses. [1] It is a theoretical construct usually applied to a homogeneous, linear elastic material and is useful for providing a failure criterion for brittle ...
The K-factor is the bending capacity of sheet metal, and by extension the forumulae used to calculate this. [1] [2] [3] Mathematically it is an engineering aspect of geometry. [4] Such is its intricacy in precision sheet metal bending [5] (with press brakes in particular) that its proper application in engineering has been termed an art. [4] [5]
In this example, the reflectance spectrum of the poly-silicon was measured on a blanket area containing the poly-silicon, from which its n and k spectra were determined in accordance with the methodology described in this article that uses the Forouhi–Bloomer dispersion equations. Fixed tables of n and k values were used for the SiO 2 and Si ...
Pressure and temperature sensors providing pulses can be used to determine mass flow, with division of the pulses by the K-factor, or multiplication with the inverse of the K-factor providing factored totalization, and rate indication. Furthermore, by dividing the pulse rate by the K-Factor, the volumetric throughput per unit time of the rate ...
In fire protection engineering, the K-factor formula is used to calculate the volumetric flow rate from a nozzle. Spray nozzles can for example be fire sprinklers or water mist nozzles, hose reel nozzles, water monitors and deluge fire system nozzles.
Black = unfiltered data; red = data averaged every 10 points; blue = data averaged every 100 points. All have the same trend, but more filtering leads to higher r 2 of fitted trend line. The least-squares fitting process produces a value, r-squared ( r 2 ), which is 1 minus the ratio of the variance of the residuals to the variance of the ...
In the moment distribution method, every joint of the structure to be analysed is fixed so as to develop the fixed-end moments.Then each fixed joint is sequentially released and the fixed-end moments (which by the time of release are not in equilibrium) are distributed to adjacent members until equilibrium is achieved.