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Li Y.G.,China Institute of Atomic Energy | Xia P.,China Institute of Atomic Energy | Wu X.B.,China Institute of Atomic Energy | Zou S.Y.,China Institute of Atomic Energy | And 6 more authors.
International Conference on Nuclear Engineering, Proceedings, ICONE | Year: 2013

In-hospital Neutron Irradiator (IHNI) was specially designed for Boron Neutron Capture Therapy (BNCT), the rated power of IHNI is 30kW, corresponding to the neutron flux density 1×1012n·cm -2·s-1 in reactor core. IHNI is an undermoderated reactor of pool-tank type, and UO2 with enrichment of 12.5% as fuel, light water as coolant and moderator, and metallic beryllium as reflector. The fission heat produced by the reactor is removed by the natural convection. On the both sides of the reactor core, there are two neutron beams, one is thermal neutron beam, and the other opposite to the thermal beam, is epithermal neutron beam. A small thermal neutron beam is specially designed for the measurement of blood boron concentration by the Prompt Gamma Neutron Activation Analysis(PGNAA). The decay constants and shares of six group of ordinary delayed neutron and nine group of photoneutron were obtained by WIMS code. Based on that, the relationship between the reactivity and the reactor period was calculated through the inhour equation. In this way, the excess reactivity and the reactivity worthies of the components (control rod, water, etc) in the core are obtained by periodic method during the startup of the reactor. The six test experiments were completed during startup, The test results show that the maximum continuous operation time at full power is 12h; the excess reactivity at cold clean state of the core is 4.2mk; The radiation levels at technical rooms are within the specified values at full power operation. When the positive reactivity with 4.2 mk is inserted into the reactor suddenly, the power will be increased to peak power, and then, it will turn to the normal value due to the negative temperature effect, this experiment shows the inherent safety of IHNI. Copyright © 2013 by ASME. Source


Li Y.-G.,China Institute of Atomic Energy | Li Y.-G.,Beijing Capture Technology Corporation | Xia P.,China Institute of Atomic Energy | Wu X.-B.,China Institute of Atomic Energy | And 6 more authors.
Yuanzineng Kexue Jishu/Atomic Energy Science and Technology | Year: 2013

In-hospital neutron irradiator (IHNI) was specially designed for boron neutron capture therapy (BNCT).On the both sides of the reactor core, there are two neutron beams. One is thermal neutron beam, and the other opposite to the thermal beam, is epithermal neutron beam. A small thermal neutron beam is specially designed for the measurement of blood boron concentration by the prompt gamma neutron activation analysis (PGNAA). The six experiments were completed during startup. The results show that the maximum continuous operation time at full power is 12 h, and the final excess reactivity is 4.2 mk. The radiation dose rates at different rooms meet the designed requirement. When the positive reactivity with 4.2 mk is inserted into the reactor suddenly, the power will increase to peak power, and then, it will turn to the normal value due to the negative temperature effect, and the release result of reactivity shows the inherent safety of IHNI. Source


Liu Q.,Nanjing University of Technology | Dong J.,Nanjing University of Technology | Liu M.,China Zhongyuan Engineering Corporation
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings | Year: 2011

Steel-concrete composite wall is a novel composite structure composed of thin sheet steel outer skin filled with light weight concrete. The composite wall panel can be used as bearing member and also as maintenance structural plate, which can satisfy functional requirement of building including bearing capacity, heat insulation and preservation. As a concerned matter in engineering field, investigation progress of unilateral contact buckling of steel skin sheet is presented by summary, analysis and contrast of relevant results. © 2011 IEEE. Source


Dong J.,Nanjing University of Technology | Liu M.,Nanjing University of Technology | Liu M.,China Zhongyuan Engineering Corporation | Liu Q.,Nanjing University of Technology | Dai B.,Nanjing University of Technology
Jiangsu Daxue Xuebao (Ziran Kexue Ban)/Journal of Jiangsu University (Natural Science Edition) | Year: 2011

In order to get the influence of inner material stiffness on buckling coefficient of steel skin sheet under unilateral contact, the bi-modulus constraint model was adopted to simulate the constraint of inner materials. According to a novel disaplacement function, energy method was used to deduce the buckling coefficient of steel skin sheet by the principle of stationary potential energy. The results show that the buckling coefficient of Kcr is directly proportion to the logarithm of compressive stiffness coefficient of kr1. When kr1 tends to 0, Kcr approaches a constant value and increases with the increasing of adhesive stiffness coefficient kr2. When kr1 tends to ∞, Kcr also tends to be a constant value with remarkable influence by kr2. The result shows that an appropriate increase of adhesive stiffness can significantly increase the buckling coefficient of the steel skin sheet when the compression stiffness stays at a constant value. Source


Gao J.,Beihang University | He Q.,Beihang University | Zhan Z.,Beihang University | Gao H.,China Zhongyuan Engineering Corporation
ICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control | Year: 2016

Considering that the motion law of billiards is complicated, a dynamic model based on fuzzy neural network is proposed to predict the final position of cue ball after stroking and collision. The collision coordinate system is established to descript the cue ball location after colliding with the target ball. Based on the relationship between the system's input and output, the Monte-Carlo method is ado[ted to record the large amounts of data collected by the billiard robot program. Back propagation Neural Network (BPNN) method is used to train the data to establish a fuzzy dynamic model. In the verification test, the billiard robot is able to correctly predict the final position of cue ball after colliding. The statistic result shows that a lower value of the input geometric features is more easily for the robot to learn, which is tallied with the behavior of human beings to play. © 2016 IEEE. Source

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