The cutting path planning of main components in China initiative accelerator driven subcritical system based on the quantum evolutionary algorithm

Abstract

The CiADS is a promising nuclear demonstration facility for the purpose of transmuting long-life fission products and minor actinides to the short-life isotopes. The main components in CiADS are the large volume equipment with complex structure and high radioactivity, which are also the important source items for the decommissioning plan design that should be cut into smaller blocks for the proper management and the safety storage. However, it has been believed as the extremely difficult and challenging task to construct the cutting paths on the main components in order to obtain the optimized blocks with acceptable range of radioactivity, since the cutting paths are hard to describe with explicit expressions in the complex model structures, and the manual selection of cutting blocks with suitable radioactivity is the error prone and labor intensity task. Considering this situation, the cutting path planning method has been developed in this study. During the decommissioning process, the complex models of main components have been converted to the simplified geometries with voxelized description, and then the quantum evolutionary algorithm has been used to automatically find the appropriate cutting blocks by means of the voxelized description for the purpose of meeting the decommissioned requirements. Moreover, the reconstruction procedure has been used to record the topological information of cutting paths on the main components with the visualization function in the graphical user interface. Finally, the verification and validation of the cutting path planning method have been tested in the decommissioning scenario, and all the numerical results show that the optimized method can effectively fulfill the cutting path planning tasks of the CiADS facility.