Prediction of air leakage and aerosol transport through concrete cracks with a fractal based crack morphology model

Bishnoi, L.R.; Vedula, Rajendra P.

doi:10.1016/j.nucengdes.2013.06.032

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Fractal theory has been applied to many scientific fields including nuclear science and technology such as neutron transport [23], containment modeling [24] and heat transfer modeling in a nuclear reactor [25]. This theory extends integer discrete dimensions which contain points, lines, surfaces, and volumes in traditional Euclidean geometry into continuous non-integer dimensions.…”

Section: Fractal Spectrum Methodsmentioning

confidence: 99%

“…This theory extends integer discrete dimensions which contain points, lines, surfaces, and volumes in traditional Euclidean geometry into continuous non-integer dimensions. It can thus better display the irregularities and complexity of the real world by definition of a fractal dimension D. Fractal dimension is a very significant parameter which reflects the effectiveness of complex geometry space [23][24][25][26]. In fractals, scale invariance in the frequency domain manifests as an unchanging shape of the frequency domain.…”

Section: Fractal Spectrum Methodsmentioning

confidence: 99%

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Toward a fractal spectrum approach for neutron and gamma pulse shape discrimination

刘明哲¹,

刘炳琦²,

左卓³

et al. 2016

Chinese Phys. C

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Accurately selecting neutron signals and discriminating gamma signals from a mixed radiation field is a key research issue in neutron detection. This paper proposes a fractal spectrum discrimination approach by means of different spectral characteristics of neutrons and gamma rays. Figure of merit and average discriminant error ratio are used together to evaluate the discrimination effects. Different neutron and gamma signals with various noise and pulse pile-up are simulated according to real data in the literature. The proposed approach is compared with the digital charge integration and pulse gradient methods. It is found that the fractal approach exhibits the best discrimination performance, followed by the digital charge integration method and the pulse gradient method, respectively. The fractal spectrum approach is not sensitive to high frequency noise and pulse pile-up. This means that the proposed approach has superior performance for effective and efficient anti-noise and high discrimination in neutron detection.

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Section: Fractal Spectrum Methodsmentioning

confidence: 99%

Section: Fractal Spectrum Methodsmentioning

confidence: 99%