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- 저자 : Iman Esmaili Paeen Afrakoti (검색결과 1 건)
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Adaptive group of ink drop spread: a computer code to unfold neutron noise sources in reactor cores
Seyed Abolfazl Hosseini,Iman Esmaili Paeen Afrakoti 한국원자력학회 2017 Nuclear Engineering and Technology Vol.49 No.7
The present paper reports the development of a computational code based on the Adaptive Group of InkDrop Spread (AGIDS) for reconstruction of the neutron noise sources in reactor cores. AGIDS algorithmwas developed as a fuzzy inference system based on the active learning method. The main idea of theactive learning method is to break a multiple inputesingle output system into a single inputesingleoutput system. This leads to the ability to simulate a large system with high accuracy. In the presentstudy, vibrating absorber-type neutron noise source in an International Atomic Energy Agency-twodimensional reactor core is considered in neutron noise calculation. The neutron noise distribution inthe detectors was calculated using the Galerkin finite element method. Linear approximation of theshape function in each triangle element was used in the Galerkin finite element method. Both the realand imaginary parts of the calculated neutron distribution of the detectors were considered input data inthe developed computational code based on AGIDS. The output of the computational code is thestrength, frequency, and position (X and Y coordinates) of the neutron noise sources. The calculatedfraction of variance unexplained error for output parameters including strength, frequency, and X and Ycoordinates of the considered neutron noise sources were 0.002682 #/cm3s, 0.002682 Hz, and0.004254 cm and 0.006140 cm, respectively.
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