A Study of Plasticity Effects on the Crack Geometry Correction Factors Used with the COD-Design Curve

2009 ◽  
pp. 686-686-13
Author(s):  
RA Mayville ◽  
PD Hilton
Keyword(s):  
Correction Factors ◽  
Design Curve ◽  
Crack Geometry ◽  
Geometry Correction

Analysis of Biologically-Derived Small Particles—Searching for Geometry Correction Factors Using Monte Carlo Simulation

2013 ◽  
Vol 19 (1) ◽  
pp. 56-65 ◽  
Author(s):  
Grzegorz Tylko
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Correction Method ◽  
X Rays ◽  
Correction Factors ◽  
X Ray ◽  
Organic Matrices ◽  
Quantitative Results ◽  
The Difference ◽  
Geometry Correction

AbstractA Monte Carlo simulation was used to determine geometry correction factors that increase accuracy of quantitative X-ray microanalysis of laterally semithick biological materials. A model composed of cellulose with homogeneously distributed biological elements and lateral dimensions between 0.5–25 μm was chosen. The specimen was exposed to 5, 10, and 15 keV electrons, the net intensities of characteristic X-rays registered for the elements, and presented as a function of the lateral dimensions of the model. This showed the double decay exponential function fitted the distribution of X-ray intensities in relation to the model size. The applicability of the function as a correction method was successfully tested for 30 specimens with varying composition and dimensions. The value of relative error decreased from ±60% to ±5% when the correction was applied. Moreover, the minimal lateral size of the material was defined, below which the correction is not required. The simulation also revealed that the difference of the weighted sum ofZ2/Abetween the unknown and the standard could reach 25% without significant influence on the quantitative results. The correction method could be helpful for accurate assessment of elemental composition in biological or organic matrices, when their lateral dimensions are smaller than the distribution range.

scholarly journals On the physics of applying finite width and geometry correction factors in fatigue crack growth predictions of GLARE

2018 ◽  
Vol 117 ◽  
pp. 189-195 ◽  
Author(s):  
Yuan Zhao ◽  
René Alderliesten ◽  
Zhengong Zhou ◽  
Guodong Fang ◽  
Jiazhen Zhang ◽  
...  
Keyword(s):  
Fatigue Crack ◽  
Fatigue Crack Growth ◽  
Crack Growth ◽  
Finite Width ◽  
Correction Factors ◽  
Geometry Correction

Weaning Weight Correction Factors from Angus Field Data

1978 ◽  
Vol 47 (1) ◽  
pp. 124-130 ◽  
Author(s):  
J. H. Anderson ◽  
R. L. Wilham
Keyword(s):  
Field Data ◽  
Correction Factors ◽  
Weaning Weight ◽  
Weight Correction

Поправочные коэффициенты в формулах для расчета содержания примесей: сущность, способы определения и их ограничения

2019 ◽  
Vol 53 (5) ◽  
pp. 55-60 ◽  
Author(s):  
Наум Аронович Эпштейн
Keyword(s):  
Correction Factors ◽  
Response Factors ◽  
Relative Response

Представлены формулы для расчета коэффициентов относительной чувствительности RRF (relative response factors) и поправочных коэффициентов F (correction factors) примесей, а также формулы, необходимые для понимания сущности коэффициентов RRF и F. Рассмотрены основные способы определения поправочных коэффициентов и их ограничения (условия, выполнение которых необходимо для корректного определения RRF и F). Эти ограничения не отражены в Европейской фармакопее и в Фармакопее США, но от их учета зависит правильность определения значений поправочных коэффициентов. Приведены примеры и даны рекомендации для надежного определения и правильного использования поправочных коэффициентов.

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