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The purpose of this research is to compare the results of utilising the manual approach vs STAAD Pro to assess and design a roof for a circular water tank that is lying on the ground. Two groups were compared using a t-test based on an independent sample. Both groups, 1 (the control) and 2 (the experimental) each have 9 samples total (STAAD Pro). Using G power of 50 and alpha of 0.05, we were able to acquire an accurate sample size of 18. Manual and STAAD Pro were used for the analysis and design. Shear stress, bending moment (BM), and deflection were all tested using an independent t-test, and the results indicated no statistically significant differences between the groups (p-values of 0.25, 0.88, and 0.20, respectively; p>0.05). Since p>0.05, it may be inferred that there are no statistically significant differences between the manual and STAAD pro approaches to design. With less work, STAAD Pro produces outcomes that are on par with those of a solution developed in accordance with the requirements of the IS code. Thus, STAAD Pro is an effective tool for modelling, analysing, and designing lightweight buildings. [ABSTRACT FROM AUTHOR]

There are innumerable methods for solving continuous beams, including the slope and deflection method, the moment distribution method, the flexibility matrix method, and the stiffness matrix method. Each method has its own identity. The final results of all four methods are shear force, bending moment, slope, and deflection. Even if all approaches yield the same result. The issue now is the time duration of those methods. One assessment should take approximately over thirty minutes to complete. Another issue is that the entire analysis will be repeated even if only one parameter is changed. Computer-based analysis is the best solution to all of these problems. Python is a computer programming language that has recently gained popularity due to its syntax simplicity. The code can be executed as soon as it is written in this case. A four-span continuous beam will be analyzed using Python in this paper, and the results will be compared to the conventional stiffness method. Initially, inputs are sent to Python using finite element procedures. The analysis is performed with Numpy, and the results are printed. Numpy is a Python library that is capable of performing all mathematical analysis, particularly on arrays and matrices. The analysis in this paper is carried out using Google colab as a plot form and Numpy as a tool. [ABSTRACT FROM AUTHOR]