• Journal of Radiation Protection and Research
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• 제26권1호
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• pp.35-43
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• 2001

특수형 방사성물질 운반캡슐은 국내외의 수송관련 법규에 규정된 기술기준을 만족하도록 설계, 제작되어야 한다. 본 연구의 목적은 하나로에서 생산된 $^{192}Ir$ 특수형 등위원소 운반캡슐의 건전성을 평가하는데 있다. 법규에서 규정된 낙하시험, 타격시험, 굽힘시험 및 가열시험조건에 대한 안전성 시험을 수행하였으며, 각각의 시험 전후에 누설시험을 수행하였다. 또한, 안전성시험과 더불어 컴퓨터코드를 이용한 전산해석을 수행하여 안전성시험 전에 시험결과에 대한 예측자료로 활용되었다. 낙하시험 및 가열시험 결과 캡슐 표면에서 약간의 흠집과 변형이 발생하였으나, 각각의 시험에서 평가기준이 되는 캡슐의 손상이나 용융 등은 발생하지 않았다. 또한 각 시험 후 수행한 누설시험 결과 누설이 발생하지 않았다. 따라서 특수형 방사성물질 운반캡슐은 법규에서 규정하는 기술기준을 만족하도록 설계, 제작되었음이 입증되었다.

• 한국산업융합학회 논문집
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• 제27권2_2호
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• pp.437-443
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• 2024

The purpose of radiological Dispersal Device(RDD) is to kill people by explosives and to cause radiation exposure by dispersing radioactive materials. And It is a form of explosive that combines radioactive materials such as Co-60 and Ir-192 with improvised explosives. In this study, we tested and evaluated whether it was possible to read the internal structure of an explosive using X-rays in a radioactive explosive situation. The improvised explosive device was manufactured using 2 lb of model TNT explosives, one practice detonator, one 9V battery, and a timer switch in a leather briefcase measuring 41×35×10 cm³. The radioactive material used was the Co-60 source used in the low-level gamma ray irradiation device operated at the Advanced Radiation Research Institute of the Korea Atomic Energy Research Institute. The radiation dose used was gamma ray energy of 1.17 MeV and 1.33 MeV from a Co-60 source of 2208 Ci. The dose rates are divided into 0.5, 1, 2, and 4 Gy/h, and the exposure time was divided into 1, 3, 5, and 10 minutes. Co-60 source was mixed with the manufactured explosive and X-ray image reading was performed. As a result of the experiment, the X-ray image appeared black in all conditions divided by dose rate and time, and it was impossible to confirm the internal structure of the explosive. This is because γ-rays emitted from radioactive explosives have higher energy and stronger penetrating power than X-rays, so it is believed that imaging using X-rays is limited By blackening the film. The results of this study are expected to be used as basic data for research and development of X-ray imaging that can read the internal structure of explosives in radioactive explosive situations.

• Nuclear Engineering and Technology
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• 제55권6호
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• pp.2305-2314
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• 2023

The governing equations of atmospheric dispersion most often taking the form of a second-order partial differential equation (PDE). Currently, typical computational codes for predicting atmospheric dispersion use the Gaussian plume model that is an analytic solution. A Gaussian model is simple and enables rapid simulations, but it can be difficult to apply to situations with complex model parameters. Recently, a method of solving PDEs using artificial neural networks called physics-informed neural network (PINN) has been proposed. The PINN assumes the latent (hidden) solution of a PDE as an arbitrary neural network model and approximates the solution by optimizing the model. Unlike a Gaussian model, the PINN is intuitive in that it does not require special assumptions and uses the original equation without modifications. In this paper, we describe an approach to atmospheric dispersion modeling using the PINN and show its applicability through simple case studies. The results are compared with analytic and fundamental numerical methods to assess the accuracy and other features. The proposed PINN approximates the solution with reasonable accuracy. Considering that its procedure is divided into training and prediction steps, the PINN also offers the advantage of rapid simulations once the training is over.