MCNP5 Simulation Of Shielding Performance And Match Ration Of Different Aggregate Shielded Concrete

At present,the shielding of concrete mainly through the test to study,with the rapid development of computer technology,more and more research will be combined with computer simulation technology and test.However,the numerical simulation of shielded concrete is mainly focused on the mechanical properties and shrinkage performance,the shielding performance and optimization of the design of the numerical study of the relevant literature,to be resolved.In this paper,magnetite,steel ball(0.11 ~ 0.66mm),steel ball(3mm,6mm),magnetite,barite,barite sand,Xiangjiang River sand,ordinary gravel as aggregate,With the same mix ratio,aggregate and other volume replacement,the different aggregate concrete shielding performance test;At the same time,according to the matching ratio of shielded concrete shielding performance test,MCNP5 program was used to simulate the concrete performance of different aggregate concrete.The comparison between the shielding test and the shielding performance simulation results shows that:MCNP5 simulation of different aggregate concrete shielding performance is feasible;Then,a mathematical model of different aggregate concrete shielding performance was established by genetic algorithm.The optimal ratio of shielding effect of different aggregate concrete was obtained by MATLAB software.Finally,the workability and shielding performance of different aggregate shielded concrete were verified by slump test,compressive strength test andMCNP5 simulation.Get the following conclusions:(1)The line attenuation coefficient of concrete of steel ball(0.11 ~0.66mm),steel ball(3mm,6mm),magnetite and magnetite as aggregate is 0.2865;The line attenuation coefficient of concrete of magnetite,magnetite sand;the line attenuation coefficient of concrete of xiangjiang River sand,ordinary gravel as the aggregate is 0.2015;the line attenuation coefficient of concrete of magnetite,magnetite,barite sand,barite as aggregate is 0.2175;the line attenuation coefficient of concrete of steel ball(0.11 ~ 0.66mm),steel ball(3mm,6mm),Xiangjiang River sand,ordinary gravel as aggregate is 0.2545.The larger the line attenuation coefficient is,the better the shielding performance.The comparison of the test results shows that the shielding performance of steel balls and magnetite is better than that of barite,Xiangjiang River sand and ordinary gravel.(2)The apparent density of concrete and its shielding performance are positively correlated,the greater the apparent density of concrete,the better the shielding performance.(3)Without considering the pore ratio in concrete,the maximum attenuation of the line attenuation coefficient calculated by MCNP5 and the measured data is 3.17%,It is feasible to study the shielding performance of MCNP5 in different aggregate concrete.Among the four groups of aggregate concrete,the content of iron in the concrete of steel ball(0.11 ~ 0.66mm),steel ball(3mm,6mm),magnetite and magnetite as aggregate is 73.02%,and the shielding performance is the best.Steel ball(0.11 ~ 0.66mm),steel ball(3mm,6mm),Xiangjiang River sand,ordinary gravel as aggregate concrete up to 51.63%,Shielding performance followed,Indicating that the strength of concrete shield and iron content is closely related;the same transmittance,the four groups ofdifferent aggregate concrete thickness difference.(4)Taking the shielding function as the objective function,the water-cement ratio and the slump as the constraint condition,the mathematic model of the shielding performance of the concrete genetic algorithm is established.According to the mathematical model of genetic algorithm,a set of shielding concrete optimal concrete mix ratio is obtained by using MATLAB.The results show that the slump,compressive strength,and using MCNP5 C program to verify the optimal group of concrete shielding performance,Finally,it shows that the working performance,mechanical properties and shielding performance of different aggregate concrete meet the requirements,which indicates that it is feasible to design the concrete mix ratio by genetic algorithm.