This program was designed within the framework of the Master dissertation at the Higher School of Teachers of Technological Education ENSET, Skikda, Algeria. The app aims at estimating the fundamental period of masonry-infilled RC frame structures based on the initial parameters of the building. The calculation script uses a deep neural networks model, which was developed and validated in the current dissertation. Initially, the user must introduce the input building parameters: Number of Storeys, Number of Spans , Span Length, Opening Ratio, Masonry wall stiffness. Afterward, the prediction result appears in the output, by clicking on calculate, and the calculation app displays the earthquake period of the target build.
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