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Loading data

Fig. 1. Wind-load data for he at-strengthened and laminated 3.2-mm glass. Architect s specified probabiUty of breakage is 8/1000 laminates for a 1-min uniform wind-load duration. Four sides supported in weathertight rabbet. Curves for different glaring areas A, 0.93 m (10 ft ) B, 1.39 m (15 ft ) C, 1.86... Fig. 1. Wind-load data for he at-strengthened and laminated 3.2-mm glass. Architect s specified probabiUty of breakage is 8/1000 laminates for a 1-min uniform wind-load duration. Four sides supported in weathertight rabbet. Curves for different glaring areas A, 0.93 m (10 ft ) B, 1.39 m (15 ft ) C, 1.86...
The above values give only a preliminary idea of the no-load data of a motor. The exact values for a particular motor may be obtained from the manufacturer. [Pg.17]

For example, suppose we are interested in knowing the distribution of stress assoeiated with the tensile statie loading on a reetangular bar (see Figure 4.23). It is known from a statistieal analysis of the load data that the load, F, has a eoeffieient of variation Q = 0.1. The stress, L, in the bar is given by ... [Pg.171]

Given the laek of available standards and the degree of diversity and types of load applieation, the approaeh adopted has foeused on supporting the engineer in the early stages of produet development with limited experimental load data. [Pg.175]

Fig. 11. versus P data and contact hysteresis reported by Chaudhury and Whitesides [471. (a) The data for unmodified PDMS-PDMS contacts. No contact hysteresis was observed, (b) The data for and PDMS modified with alkyl siloxane monolayers, PDMS° -03Si(CH2)9CH3. A weak contact hysteresis was observed, (c) The data for PDMS modified with fluroalkyl siloxane monolayers, PDMS -03Si(CH2)2(CF2)7CF3. A large contact hysteresis was observed. In all cases, the open circles represent the loading data, and the filled circles represent the unloading data. [Pg.102]

Loading data Unloading data Hysteresis, AyjKR W waier hcxadecanc... [Pg.104]

The above measurements all rely on force and displacement data to evaluate adhesion and mechanical properties. As mentioned in the introduction, a very useful piece of information to have about a nanoscale contact would be its area (or radius). Since the scale of the contacts is below the optical limit, the techniques available are somewhat limited. Electrical resistance has been used in early contact studies on clean metal surfaces [62], but is limited to conducting interfaces. Recently, Enachescu et al. [63] used conductance measurements to examine adhesion in an ideally hard contact (diamond vs. tungsten carbide). In the limit of contact size below the electronic mean free path, but above that of quantized conductance, the contact area scales linearly with contact conductance. They used these measurements to demonstrate that friction was proportional to contact area, and the area vs. load data were best-fit to a DMT model. [Pg.201]

Fig. 6. Lateral stiffness vs. load data for a silicon nitride tip vs. mica surface in ultra-high vacuum. Solid line is fit of the JKR model to the data. Reprinted with pennission from ref. [67]. Fig. 6. Lateral stiffness vs. load data for a silicon nitride tip vs. mica surface in ultra-high vacuum. Solid line is fit of the JKR model to the data. Reprinted with pennission from ref. [67].
Feedstock and product rates/properties Utility load data... [Pg.209]

Fig. 20. Schematic diagram showing the estimation of the time-average rate of S02 oxidation under periodic flow interruption or reduction employing steady-state oxidation rate vs liquid loading data (Figure from Haure etal., 1989, with permission, 1989, American Institute of Chemical Engineers.)... Fig. 20. Schematic diagram showing the estimation of the time-average rate of S02 oxidation under periodic flow interruption or reduction employing steady-state oxidation rate vs liquid loading data (Figure from Haure etal., 1989, with permission, 1989, American Institute of Chemical Engineers.)...
Data Structures. Inspection of the unit simulation equation (Equation 7) indicates the kinds of input data required by aquatic fate codes. These data can be classified as chemical, environmental, and loading data sets. The chemical data set , which are composed of the chemical reactivity and speciation data, can be developed from laboratory investigations. The environmental data, representing the driving forces that constrain the expression of chemical properties in real systems, can be obtained from site-specific limnological field investigations or as summary data sets developed from literature surveys. Allochthonous chemical loadings can be developed as worst-case estimates, via the outputs of terrestrial models, or, when appropriate, via direct field measurement. [Pg.34]

M offers the possibility to load data from various data formats. The following commands create an object dat in M with the data table. [Pg.320]

Linearity/range of injection Range of 50—150% of the nominal load. Data may also be used for determining LOD/LOQ... [Pg.359]

Dimensional Data here [see specificationj END DIMENSIONAL DATA r BEGIN NOZZLE LOAD DATA ... [Pg.174]

END NOZZLE LOAD DATA BEGIN ADDITIONAL OPERATING CONDITIONS DATA... [Pg.174]

Table 4. Porosimetry and cobalt-loading data of CMS-CH2CH2CN, CMS-CH2CH2CO2H... Table 4. Porosimetry and cobalt-loading data of CMS-CH2CH2CN, CMS-CH2CH2CO2H...
While the neutral 1,2,3,4-oxatriazoles (1) still await synthesis, some of their properties have been predicted by theoretical calculations. AMI calculations combined with a principal component analysis loading data from other related heteroaromatics have been used to estimate geometric characteristics, aromaticity, energy of formation, and N chemical shifts <90JPR885>. The oxatriazoles (1) and (7) and the 1,2,3,5-thiatriazoles, which also have not been prepared, are calculated to be in the group with the lowest classical and magnetic aromaticity. [Pg.680]

The inventory and impact assessment phases of LCA have different end results. The inventory component quantifies energy use, the masses of inputs, and the mass loadings of products, wastes, and releases on a systemwide basis. In contrast, the extrapolation of these mass-loading data generates a diverse spectrum of qualitative... [Pg.99]

Thus, five constants (A, A2, A3, A4, and Xq) are used to model the pure component loadings within the ranges of pressure and temperature required. The LRC model, as extended by the method of Markham and Benton ( ), is also used to predict the loadings in the multicomponent system, based upon the correlation coefficients for the pure component loading data, viz.,... [Pg.75]

With regards to the translation of dynamic data in terms of static loading data through appropriate mathematical transformations, both the Havriliak-Negami and Perez models have been claimed to be counterparts of the KWW model ... [Pg.356]


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See also in sourсe #XX -- [ Pg.157 ]




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