Cálculo de curvas de fragilidad de múltiples tipologías estructurales implementando algoritmos lógicos desarrollados en Python.

Abstract

In this degree work study, we modified the previous code developed in Python from the degree work of Molina & Ajila (2024). In our case we used the methodology proposed by FEMA 440, which is based on the “Capacity Spectrum Method”, which allows us to obtain the performance points of the structure or structural system to be analyzed and thus determine the fragility curve according to its acceleration spectrum. In conducting our study, we modified certain parameters in the code. First, we start from a bilinear approximation curve, so it is no longer necessary to transform the pushover curve. By choosing a bilinear curve it interpolates the points between its coordinates for its development in the capacity spectrum method. Additionally, we generate fragility curves for sixty-nine structural typologies. And estimate the probable damage for the sixty-nine cases of structures. The method proposed by FEMA 440 showed us a greater dispersion of data, resulting in a characterization that more closely resembles reality with an uncertainty and a statistical representation more adjusted to each case of analysis and to the variability of seismic records. Aligning ourselves to the Python program for the development of these fragility curves is fundamental and a useful tool for seismic evaluation, in addition to classifying the seismic demand in function of a specific capacity curve according to the corresponding structural typology, so that the code of our study can be modified, corrected or even improved according to the user's needs.