shielding design
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2021 ◽  
Author(s):  
Peng Lu ◽  
Qiuran Wu ◽  
Hua Du ◽  
Yu Zheng ◽  
Xiaokang Zhang ◽  
...  

Abstract The neutron induced irradiation field is a key problem in fusion reactor related to nuclear responses, shielding design, nuclear safety, and thermo-hydraulic analysis. To support the system design of China Fusion Engineering Test Reactor (CFETR), the comprehensive analysis of irradiation field has been conducted in support of many new developed advanced tools. The paper first summarizes the recent progress on related neutronics code development effort including the geometry conversion tool cosVMPT, Monte Carlo variance reduction technology ‘on-the-fly’ global variance reduction (GVR). Such developed tools have been fully validated and applied on the CFETR nuclear analysis. The neutron irradiation has been evaluated on CFETR Water Cooled Ceramic Breeder (WCCB) blanket, divertor, vacuum vessel, superconductive coils and four kinds of heating systems including the Electron Cyclotron Resonance Heating (ECRH), Ion Cyclotron Resonance Heating (ICRH), Low Hybrid Wave (LHW) and Neutral Beam Injection (NBI). The nuclear responses of tritium breeding ratio (TBR), heating, irradiation damage, Hydrogen/Helium (H/He) production rate of material have been analyzed. In case of neutron damage and overheating deposition on the superconductive coils and Vacuum Vessel (VV), the interface and shielding design among heating systems, blanket and other systems has been initialized. The results show the shielding design can meet the requirement of coil and VV after several iterated neutronics calculation.


2021 ◽  
Vol 927 (1) ◽  
pp. 012042
Author(s):  
F Aliyah ◽  
S G Pinasti ◽  
A A Rahman

Abstract Since its discovery in 1946, Proton therapy has continued to overgrow from the number of units installed in various countries and the technology used. This paper aims to provide an overview of the development of proton therapy facilities to date based on a literature review. The results are discussed in several aspects, including its distribution across the globe, beam delivery techniques, dose verification, room layout, and shielding design considerations.


2021 ◽  
Vol 2021 (2/2021) ◽  
pp. 61-65
Author(s):  
Anguel Demerdjiev ◽  
Dimitar Tonev ◽  
Nikolai Goutev

The Institute for Nuclear Research and Nuclear Energy at the Bulgarian Academy of Sciences is working on the construction of a cyclotron centre. The facility is on a design level. At this stage of the project, an important task is the radiation shielding assessment of the facility. Nowadays, the Monte Carlo transport codes have become the tool of choice for solving this type of problem. In the current paper, the transport code FLUKA is used for the calculations. It is widely applied for shielding design and analysis of accelerators and their components. The distributions of the radiation fields inside and outside the cyclotron bunker are presented in this paper. Both different irradiation scenarios and bunker configurations are considered in the conducted Monte Carlo simulations. These results will be used as a guidance in site planning.


2021 ◽  
Vol 172 ◽  
pp. 112918
Author(s):  
Qixiang Cao ◽  
Xiaoyu Wang ◽  
Xinghua Wu ◽  
Miao Yin ◽  
Shen Qu ◽  
...  
Keyword(s):  

2021 ◽  
Vol 16 (10) ◽  
pp. P10001
Author(s):  
H. Jarahi ◽  
T. Akbarzadeh Chiniforoush ◽  
Y. Kasesaz

Author(s):  
Siva Raja P M ◽  
Sumithra R P ◽  
Thanusha G

A sensor node and other electronic devices attached to any IoT object can be involved in the communication over wireless network in IoT environments, which makes it necessary to preprocess a large amount of sensed data before storing it. Therefore, sensing data in the form of images is to be sent to the cloud storage system via wireless medium, but this suffers from image hijacking where data is manipulated, which leads to insecure transmission. To mitigate this problem, two levels of security are employed. Memory retaining is the primary level of enhancing learning which uses past experiences to extract optimal features from sensed images and then subjected to offbeat shielding activities, which include cryptographic steganography. The proposed system creates cloud storage that is protected by the optimal features learned from a neural network, thus ensuring that clouds are secure in the Internet of Things.


Author(s):  
GuoLong Zhang

The use of computer technology for three-dimensional (3 D) reconstruction is one of the important development directions of social production. The purpose is to find a new method that can be used in traditional handicraft design, and to explore the application of 3 D reconstruction technology in it. Based on the description and analysis of 3 D reconstruction technology, the 3 D reconstruction algorithm based on Poisson equation is analyzed, and the key steps and problems of the method are clarified. Then, by introducing the shielding design constraint, a 3 D reconstruction algorithm based on shielded Poisson equation is proposed. Finally, the performance of two algorithms is compared by reconstructing the 3 D image of rabbit. The results show that: when the depth value of the algorithm is 11, the surface of the rabbit image obtained by the proposed optimization algorithm is smoother, and the details are more delicate and fluent; under different depth values, with the increase of the depth value, the number of vertices and faces of the two algorithms increase, and the optimal depth values of 3 D reconstruction are more than 8. However, the proposed optimization algorithm has more vertices, and performs better in the reconstruction process; the larger the depth value is, the more time and memory are consumed in 3 D reconstruction, so it is necessary to select the appropriate depth value; the shielding parameters of the algorithm have a great impact on the fineness of the reconstruction model. The larger the parameter is, the higher the fineness is. In a word, the proposed 3 D reconstruction algorithm based on shielded Poisson equation has better practicability and superiority.


2021 ◽  
Vol 1885 (5) ◽  
pp. 052020
Author(s):  
Weiliang Zhang ◽  
Junlin Wan ◽  
Qi Zhang ◽  
Dinghan Gao

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