Statistical analysis of the results of humidity-temperature tests of glass reinforced plastics (GRP)

1968 ◽  
Vol 1 (5) ◽  
pp. 88-91
Author(s):  
I. G. Romanenkov ◽  
Z. P. Machavariani
Keyword(s):  
Statistical Analysis ◽  
Reinforced Plastics

Structural-statistical analysis of the strain properties of laminated reinforced plastics

1991 ◽  
Vol 26 (6) ◽  
pp. 712-717 ◽  
Author(s):  
V. A. Lokshin ◽  
M. R. Gurvich ◽  
Yu. Yu. Perov
Keyword(s):  
Statistical Analysis ◽  
Reinforced Plastics

Statistical Analysis of Delamination in Drilling Glass Fiber-Reinforced Plastics (GFRP)

2008 ◽  
Vol 27 (15) ◽  
pp. 1615-1623 ◽  
Author(s):  
K. Palanikumar ◽  
J. Campos Rubio ◽  
A. Abrão ◽  
A. Esteves ◽  
J. Paulo Davim
Keyword(s):  
Statistical Analysis ◽  
Glass Fiber ◽  
Fiber Reinforced ◽  
Reinforced Plastics ◽  
Glass Fiber Reinforced ◽  
Fiber Reinforced Plastics

scholarly journals Experimental and Statistical Analysis of Formwork Beams Reinforced with CFRP

2019 ◽  
Author(s):  
Krisztián Andor ◽  
András Lengyel ◽  
Rudolf Polgár ◽  
Tamás Fodor ◽  
Zsolt Karácsonyi
Keyword(s):  
Statistical Analysis ◽  
Bearing Capacity ◽  
Failure Modes ◽  
Reference Sample ◽  
Construction Materials ◽  
Structural Behaviour ◽  
Load Bearing Capacity ◽  
Simultaneous Formation ◽  
Load Bearing ◽  
Reinforced Plastics

Enhancement of structural behaviour of various construction materials using fibre reinforced plastics (FRP) is an important branch of engineering research, including the increasing application for structural timber as well. This study deals with the reinforcement of standard construction formwork timber beams with carbon fibre reinforced plastics (CFRP). Beams with various amount of reinforcement were prepared using simultaneous formation of lamella and bonding. Laboratory bending tests are carried out and load-deflection data were measured to experimentally determine the change of load-bearing capacity and stiffness with respect to non-reinforced reference sample, as well as to assess the structural behaviour. Evaluation of failure modes is carried out on each specimen. A statistical analysis of the experimental results using t-test is also made. The experiments prove the enhancement of structural behaviour, especially in terms of the increased load-bearing capacity, the increased ductility in certain cases, the decrease of the scattering of results, and also in failure modes.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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