Application of artificial immune systems in the study and analysis of structural integrity

Abstract

In this project it is proposed the application of artificial immunological systems to analyze the structural integrity of a building. This issue becomes important as the techniques used in monitoring structural failures have provided benefits in terms of increased life safety and also in assisting companies responsible for building buildings, bridges and structures in general. Thus, the goal is to develop an efficient way to identify and further classify structural failures by applying immune systems as a technique for monitoring structural integrity. Inspired by a biological process, the negative selection algorithm will be developed, which will be used in the analysis and identification of structural failures resulting from the structure. This methodology can help professionals in the inspection of building structures, aiming to identify and characterize faults, in order to perform preventive maintenance, ensure the integrity of the structure and the decision making. The methodology will be performed in a two-story building model, and from this model will be simulated several situations (base-line condition and improper conditions), obtaining a database of signals, which will be used as input data for the negative selection algorithm. Therefore, a methodology is proposed that aims to provide more accurate and robust results. (AU)