Pre and Post Processing Tool for Reactor Analysis Code NECP-BAMBOO1.0 

The post-processing tool, developed using C#, offers a range of powerful functionalities. One of its key capabilities is the ability to calculate output data derived from simulations or analyses. These calculated results are efficiently stored in its own database, ensuring easy access and retrieval for further analysis or visualization. Speaking of visualization, the postprocessing tool excels in this area by generating real-time graphs, providing a dynamic and interactive representation of the output data. This visual approach allows researchers and analysts to gain insights and identify trends or patterns in the data more effectively. Additionally, the tool offers the option to export the output results directly into Microsoft Excel, enabling further analysis or integration with other tools or workflows. Interestingly, the post-processing tool not only focuses on handling output data but also possesses a valuable feature for preprocessing scripts. It allows users to conveniently prepare and generate input formats compatible with the NECP-Bamboo1.0 script.

The software boasts a user-friendly interface that ensures ease of use and smooth interaction. One of its notable features is its own integrated database, which serves as a reliable repository for storing data generated during simulations or analyses. This database enables convenient access to previously stored data for future analysis and comparison purposes. In addition to data storage, the software provides a real-time comparison capability with reference values. This feature allows users to evaluate the output data against predefined reference values, facilitating quick and efficient analysis. By instantly comparing the results, researchers and analysts can identify any deviations or anomalies, enabling them to make informed decisions and adjustments as needed. The software also supports the ingestion of input text files in a specific format to extract relevant data from corresponding output files. This functionality streamlines the data extraction process, eliminating the need for manual data entry and ensuring accuracy.

Real-time graph analysis is a vital component of any data analysis software, offering significant advantages in understanding complex data sets. It provides users with the ability to visualize and interpret data in real-time, enabling faster decision-making and enhanced insights. The integration of a graph analysis tool within post-processing software further amplifies the benefits of real-time analysis by presenting the study outcomes in a more organized and meaningful manner. The inclusion of a graph analysis tool allows users to generate various types of 2-D graphs that accurately depict the data and highlight critical analysis points. These graphs can include line graphs, bar charts, scatter plots, histograms, and more, depending on the specific requirements of the analysis.

Real-time graph analysis is a vital component of any data analysis software, offering significant advantages in understanding complex data sets. It provides users with the ability to visualize and interpret data in real-time, enabling faster decision-making and enhanced insights. The integration of a graph analysis tool within post-processing software furthe amplifies the benefits of real-time analysis by presenting the study outcomes in a more organized and meaningful manner. The inclusion of a graph analysis tool allows users to generate various types of 2-D graphs that accurately depict the data and highlight critical analysis points. These graphs can include line graphs, bar charts, scatter plots, histograms, and more, depending on the specific requirements of the analysis.

When working with the input of a CR script, it becomes necessary to declare various types of assembly configurations. These configurations include fresh fuel assemblies, CR assemblies, grid and non-grid assemblies, as well as CR assemblies with grid and non-grid components. Manually carrying out these declarations can lead to overlapping or misdeclarations, which can be both time-consuming and prone to errors. To address these challenges, a sub function has been integrated into the pre-processing tool specifically designed to calculate and handle these assembly configurations efficiently. By leveraging this sub function, the accuracy of the assembly declarations is significantly improved, ensuring that each assembly type is correctly identified and defined within the CR script. The integration of this sub function brings about several benefits. Firstly, it reduces the likelihood of human error, minimizing the risk of overlapping or incorrectly declared assemblies. This, in turn, enhances the reliability of subsequent analyses and simulations based on the CR script. Moreover, the automated calculation of assembly configurations saves valuable time for researchers and engineers, allowing them to focus on other critical aspects of their work.