الفهرس 
Publications from the workOnly 14 pages are availabe for public view
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Abstract
In summary, our study has involved a theoretical examination of four distinct periodic crystal structures, which can be explicated as follows:
A novel application of a 1D-PnC sensor for monitoring and simulating the irradiation behaviors of the fuel pellets in reactors has been simulated. Our results are expected to help enhance the characterization of nuclear fuel materials. where the irradiation behaviors have appeared through the mechanical interactions of the fuel pellets. The methodology of this study is constructed based on fitting the experimental equations that describe the mechanical properties of these materials, the TMM for computing the transmittance spectra, and the sensor performance parameters. The numerical results are summarized in more than one point. The first point, the sensor materials is taken after an optimization strategy to get the optimum parameters. In the second point, different nuclear fuel materials are compared with each other by calculating different performance parameters. In the third point, the MOX-fuel is taken as the target fuel, and we have studied the effects of different parameters such as the porosity, O/M, and Pu-content on its mechanical properties and resonance modes that appeared in the PnBG. In addition, the performance parameters were calculated for each parameter. It was concluded that, when the porosity is equal to 0.0543, the sensitivity achieved the highest value of 74.7489×103 (Hz. s/m). In addition, when the specimen is proposed with the ratio of O/M ((U0.8Pu0.2) O1.985), the highest sensitivity value of 76.330×103 (Hz. s/m) is obtained. Moreover, when the Pu-content in the specimen is taken as (U0.8Pu0.2) O2, a promising sensitivity with the value of 80.142×103 (Hz. s/m) is attained by the sensor. Finally, our sensor could help to establish the operating safety margin for nuclear fuel throughout its life in the reactor.
a highly sensitive 1D-PhC radiation dosimeter based on PSi-layers infiltrated by the doped (PVA)polymer has been simulated. The theoretical analysis is investigated by fitting the experimental data of the doped (PVA)polymer, Bruggeman’s effective medium equation of PSi-layer, and the (TMM) for calculating the optical properties of the dosimeter structure. The numerical results demonstrated that the PSi-layers enhanced the RI of the doped (PVA)polymer. In addition, we illustrated the idea of this radiation dosimeter which is based on the shift in the PhBG when it is exposed to γ-ray radiation. Physically, this shift is due to the RI of the doped PVA polymer depending on the γ-doses (in the Gy unit). Therefore, the RI of PSi-layers is changed when exposed to γ-doses. The novelty of this point lies in the fact that this radiation dosimeter achieved a high sensitivity of 186 nm/RIU with very stability along the range of visible wavelengths when the design is exposed to gamma-ray doses from (0 to 70 Gy). Furthermore, the effects of the thickness of the PSi layers are studied to achieve the highest sensitivity. To the author’s knowledge, this is the first time 1D-PhC based on PSi-layers has been used as a gamma-ray dosimeter. Finally, the other purpose of this radiation dosimeter is to be used as radiation-resistant PhBGs for usage in nuclear environments in temperature and strain measurement applications.
The doped (PVA)polymer based on a 1D-DPhC sensor for the detection of γ-ray radiation in the visible range has been simulated. The sensing mechanism of this sensor is based on (PSi) and the doped (PVA)polymer that infiltrates its pores. Once the sensor is exposed to γ-rays, the optical properties of the doped (PVA)polymer will change, and therefore the optical properties of the PSi will change, and this is reflected on the transmittance spectra and λres of our sensor. By fitting the experimental data of the doped (PVA)polymer, Bruggeman’s effective medium equation of PSi-layer, and the TMM for calculating the optical characteristics of the dosimeter structure, the theoretical analysis is studied. The numerical results indicated that the PSi-layers changed the doped PVA-refractive Polymer’s index. Additionally, they demonstrated how this radiation sensor works by showing how the resonance wavelength shifts when it is exposed to γ-rays. It also examined how the PSi-layer thickness influences performance to achieve the highest sensitivity. In addition, the effect of incidence angle on the defect mode. We also explained why we used the values of the porosity of the two PSi layers and their effect on the defect mode. The unique feature of this point is that, when exposed to gamma-ray doses ranging from (0 to 70 Gy), the radiation sensor design obtained a high sensitivity of 205.7906 nm/RIU in the visible region. In addition, the (QF), (SNR), (DL), (SR), and (FOM) that have been obtained are 9380.483, ≈ 49.315, ≈ 2.05 ×10-5 RIU, ≈ 3.27×10-5, and 2429.31 RIU-1, respectively.
application of hybrid heterostructure angular SPR as an enhanced sensor has been simulated, where the use of Kretschmann configuration based on the angular interrogation is proposed for this design. A nanocomposite layer made of silver and BiFeO3 used as the plasmonic material has been identified as a potential method to improve the performance of the suggested sensor. The proposed technique is analyzed based on the TMM to quantitatively compute the reflectance spectra of the proposed hybrid heterostructure angular SPR sensor at operating wavelength 633 nm. The examination of the suggested sensor’s performance is conducted regarding the following parameters (S), (QF), (FOM), (DL), and (SR). To attain the utmost level of sensitivity, optimal values for various parameters are identified, taking into account the impact of the metallic layer’s thickness, the type, and the dielectric layer’s thickness. Based on the numerical findings, it was determined that the suggested angular SPR sensor demonstrated a sensitivity up to the value of 448.1 ”°/RIU” at the optimal state. The sensor that was produced demonstrated a significant increase in sensitivity, as it exhibited a 54% improvement when compared to the conventional SPR biosensors. Finally, the outcomes evinced that the proposed hybrid heterostructure angular SPR sensor outperforms the biosensors expounded in the preceding literature, rendering it well-suited for deployment in the monitoring and detection of diverse contaminated water.