Effects of micro-sized and nano-sized WO 3 on mass attenauation coefficients of concrete by using MCNPX code

Tekın, H.O.; Singh, Vishwanath Pratap; Manıcı, Tuğba

doi:10.1016/j.apradiso.2016.12.040

Cited by 198 publications

(74 citation statements)

References 19 publications

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“…MCNPX is a simulation program for radiation transport and modeling of the interaction between radiation and materials at different energies [23]. The samples consist of natural bentonite coated by polyvinyl alcohol polymer (PVA) as a matrix.…”

Section: Mcnpx Codementioning

confidence: 99%

Evaluation of gamma rays shielding competence for bentonite clay /PVA polymer matrix using MCNPX code

Sallam

Hager

Rammah

et al. 2020

Arab Journal of Nuclear Sciences and Applications

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This Radiation shielding capability in terms of mass and linear attenuation coefficients, half value layer, tenth value layer, and mean free path haven been evaluated for natural bentonite coated with polyvinyl alcohol polymer (PVA) using Monte Carlo simulation (MCNPX) and XCOM program. All data were determined at gamma photons energies 662, 1173 and 1332 keV emitted from point sources of 137 Cs and 60 Co, respectively, and compared with calculated experimental data. XCOM results of mass attenuation coefficients showed better agreement with experimental data in comparison with MCNPX code. The relative deviations between experimental and theoretical mass attenuation coefficients are 4.3, 2.5 and 1.25 % at 662, 1173 and 1332 (keV) while deviation between simulated and experimental mass attenuation coefficients are -3.1, -10.96 and -10.35 % at the same energies, respectively. The relative deviation between simulated shielding factors HVL, TVL and MFPwith experimental data exhibit the same behavior as mass attenuation coefficient and having average relative deviations percentage equal to 2.5, 13.4 and 13.8 % at the studied energies, respectively.

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Section: Mcnpx Codementioning

confidence: 99%

Evaluation of gamma rays shielding competence for bentonite clay /PVA polymer matrix using MCNPX code

Sallam

Hager

Rammah

et al. 2020

Arab Journal of Nuclear Sciences and Applications

View full text Add to dashboard Cite

show abstract

“…2, we can see the trajectory and interaction volume of X-rays in a sample. Various simulation investigations and estimation studies on medical applications and for other aims such as computational methods are found in literature [7][8][9][10][11][12][13][14][15][16][17][18][19]. A schematic representation of modelled geometry is shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

Quantitative Characteristic X-Ray Analysis for Different Compound Samples by Using Monte Carlo Method

et al. 2017

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X-ray spectrometry is an elemental analysis technique with broad application in science and industry. It is based on the principle that individual atoms, when excited by an external energy source emit X-ray photons of a characteristic energy or wavelength. Here we obtained the characteristic X-ray peaks of different brass compounds and compared the intensity of characteristic peaks by changing with Zn rate. In this study we modelled different brass samples by using Monte Carlo method and changed the zinc rate in brass samples for each compound. We obtained the characteristic X-ray peaks of different compounds and compared the intensity of characteristic peaks by changing with Zn rate. We achieved a good agreement between peak intensity and corresponding element rate in compound. Also we obtained that characteristic peak rate increases by corresponding element rate in compound. This study shows that Monte Carlo method is very effective method to simulate material features due to their characteristic peaks and their intensities. DOI: 10.12693/APhysPolA.132.439 PACS/topics: Monte Carlo, characteristic X-ray, brass 1. Introduction X-rays occur when the fast electrons interact with matter. During this process, kinetic energy of electrons is basically converted into heat energy but some is also converted into electromagnetic energy in the form of photons. X-ray photons are a form of electromagnetic radiation produced after the ejection of an inner orbital electron and following transition of atomic orbital electrons from states of high to low energy. When a monochromatic beam of X-ray photons falls onto a specimen some basic phenomena may result in some effects such as absorption, scatter and fluorescence. These three phenomena forms are the basis of three important X-ray methods: the absorption technique is the basis of radiographic analysis, the scattering effect is the basis of X-ray diffraction, and the fluorescence effect is the basis of XRF spectrometry. When high energy photons (X-rays or gammarays) are absorbed by atoms, inner shell electrons are ejected from the atom, becoming photoelectrons [1]. This leaves the atom in an excited state, with a vacancy in the inner shell. Outer shell electrons then fall into the vacancy, emitting photons with energy equal to the energy difference between the two states. Since each element has a unique set of energy levels, each element emits a pattern of X-rays characteristic of the element, termed characteristic X-rays. Figure 1 shows the generation of the characteristic X-ray from atomic orbit. The intensity of the X-rays increases with the concentration of the corresponding element.

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“…The capabilities of MCNPX have been investigated in literature. Various applications using MCNPX code have been found in literature [14][15][16][17][18][19].…”

Section: Methodsmentioning

confidence: 99%

An Artificial Neural Network-Based Estimation of Bremsstarahlung Photon Flux Calculated by MCNPX

et al. 2017

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Bremsstrahlung has an important place in the field of experimental physics, especially for description of photon-matter interaction and for characterization and analysis of materials. Bremsstrahlung photon is created by a high-energy electron, deflected in the electric field of atomic nucleus. Bremsstrahlung is also important for experimental studies, not only in the field of nuclear physics and particle physics but also in the fields of solid state physics, applied physics and astrophysics. In recent years, Monte Carlo simulation has become a widely used method for calculations related to bremsstrahlung. On the other hand, predictions by using artificial neural network can be performed with high accuracy. This study aims at observing variation in the photon flux as unction of target thickness and at processing output data by using an artificial neural network. We achieved a high degree of compatibility between two different methods. This study suggests that artificial neural network is a powerful tool for prediction of Bremsstrahlung and for other scientific problems.

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Effects of micro-sized and nano-sized WO 3 on mass attenauation coefficients of concrete by using MCNPX code

Cited by 198 publications

References 19 publications

Evaluation of gamma rays shielding competence for bentonite clay /PVA polymer matrix using MCNPX code

Evaluation of gamma rays shielding competence for bentonite clay /PVA polymer matrix using MCNPX code

Quantitative Characteristic X-Ray Analysis for Different Compound Samples by Using Monte Carlo Method

An Artificial Neural Network-Based Estimation of Bremsstarahlung Photon Flux Calculated by MCNPX

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