The Input Preprocessor is used to establish files defining the uncertainty propagation case. Input Preprocessor is here for You to build and manage input distributions for Your project. You can choose the type of input distribution best fitting to Your project, set boundary conditions to them, and also visualize, check, and export resulting distribution shapes. It is highly recommended to examine all inputs used in the uncertainty quantification process, especially when prepared in external application or script. It prevents possible computation fails or misinterpretation of results.
On Fig. 1, it can be seen the initial state of the application’s window with three main sections to be found.There is the Menu bar on the top with an ordinary arrangement of items. File menu offers standard program functions allowing to Save user data or to Load already stored in files. Note that these functions are active only when one of the program’s method is selected (and data set in case of saving). You can also empty the program’s memory and return to the initial state of the chosen method using the File -> Clean option. About item of the Menu bar contains features accessing this document (Help) and company information and contact (Company).
Fig. 1: Input Preprocessor – Main window
Left part of the application’s window is filled with the Method selection frame offering following items:
Also, information about the program’s progress on current task is shown right under the Methods label.Right side of the application’s window is dedicated to the Main working frame, where all features of the selected method are executed. Help for each method available can be shown if one of these is active via About -> Help.
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