Search

Large buildings and skyscrapers are vulnerable to environmental, temporal, and anthropological stresses, generating wear and tear that can lead to this social and economic impediment's collapse. The technological improvements of the fourth industrial revolution have resulted in changes in the connection between physical space and man, known as the cyber physic model, which necessitates monitoring systems to protect the structural branch and so correct this structural vulnerability. Thus, the structural health monitoring system is the exact measure of the evolution required by the cyber physic model in construction and the protection of the monumental buildings, ensuring not only their economic development but also the safety of society. Therefore, this research work presents the innovative proposal of the cyber-physical structural health monitoring system aimed at buildings and skyscrapers, based on and differentiated by intelligent computing techniques, using the negative selection algorithm to perform the analysis and monitoring of structural integrity, overcoming the existing traditional work. The cyber-physical structural health monitoring system will be applied to experimental data obtained from the shear building model that represents these imposing skyscrapers. An artificial immune system will be developed and used in the decision-making process based on the acquisition and processing of the obtained signals to perform the identification, localization, and quantification of possible structural damage. Observing the results, this work proved to be efficient, robust, and economically feasible, having high performance and overcoming the shortcomings of traditional techniques. It represents the perfect measure of cyber physics in the monitoring of large buildings and skyscrapers.

Made available in DSpace on 2021-06-25T11:15:28Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01 The Structural Health Monitoring evaluates the situation of aeronautical, civil or mechanical structures and provides a forecast of its remaining useful life, acting in decision making, being able to intervene in critical situations. It has emerged as a viable economic alternative for monitoring structures and preventing failures. Thus, this system is defined as a prophylactic measure, reliable and effective against structural failure. This work exposes the theoretical basis and a new technique for detection of failures in pipes by acoustic means, following the International Standard ISO10534-1 (1996) in the sampling. This method of fault detection using acoustic means requires considerably less training data than is usually used in the literature, with approximately 85% less data. The results presented in this work showed how it is possible and effective to detect failure in pipes by acoustic means using an artificial immune system for structural monitoring, with a 100% precision in the detection of failure. Mechanical Engineering Department UNESP São Paulo State University “Julio de Mesquita Filho”, Av. Brasil Sul, 56, Donwtonw Department of Engineering Physics and Mathematics Institute of Chemistry UNESP São Paulo State University “Julio de Mesquita Filho”, Rua Prof. Francisco Degni, 55, Quitandinha Civil Engineering Department UNESP São Paulo State University “Julio de Mesquita Filho”, Av. Brasil Sul, 56, Donwtonw FATEC Faculdade de Tecnologia de São Paulo “Prof. Fernando Amaral de Almeida Prado”, Av. Prestes Maia 1764 - Jd. Ipanema Department of Mathematics Indira Gandhi National Tribal University, Lalpur, Amarkantak Mechanical Engineering Department UNESP São Paulo State University “Julio de Mesquita Filho”, Av. Brasil Sul, 56, Donwtonw Department of Engineering Physics and Mathematics Institute of Chemistry UNESP São Paulo State University “Julio de Mesquita Filho”, Rua Prof. Francisco Degni, 55, Quitandinha Civil Engineering Department UNESP São Paulo State University “Julio de Mesquita Filho”, Av. Brasil Sul, 56, Donwtonw

This work presents a novel approach for monitoring the structural integrity of a dynamic rotor basead in a intelligent methodology combined with a mathematical transform, the Wavelet artificial immune system. The combination of the artificial immune system with the Wavelet transform generates an innovative tool to perform the identification, localization and classification of structural failures. Through this methodology, industrial machine designs are developed to meet these needs, reducing failures and anticipating errors found in operating machines. An emergingarea of machine designs are rotating machines also called dynamic rotors, which are applied to aircraft turbines, steam turbines for the production of electrical energy, turbo-compressors, among others. To validate this methodology, experimental data are collected, and from this, different situations (normal condition and fault conditions) are generated, obtaining a database of signals, which were analyzed by the proposed method. The results obtained by the Wavelet Artificial Immune System are efficient and robust.

The System Integrity Monitoring (SHM) assesses the situation of aeronautical, civil or mechanical structures and provides the forecast of it is remaining life, acting in decision making, being able to intervene in critical situations. It has emerged as a viable economic alternative for monitoring structures and preventing failures. Thus, thissystem is defined as a prophylactic measure, reliable and effective against structural failure. This work has as objective the theoretical basis and the detection of failures in tubes by acoustic means, following the norm ISO10534-1 (1996) in the sampling. This method of fault detection using acoustic means requires considerably less training data than is usually used in the literature, with approximately 85% less data.

Made available in DSpace on 2020-12-10T19:55:56Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-04-20 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Cientifico e Tecnol ~ogico Purpose In recent years, the mechanical industries began to apply many investments in research and technological development to obtain efficient methods to analyze the integrity of structures and prevent disasters and/or accidents, ensuring people's lives and preventing economic losses. Any structure, whether mechanical or aeronautical, before being put into use undergoes a structural integrity assessment and testing. In this case, non-destructive evaluations are performed, aiming to estimate the degree of safety and reliability of the structure. For this, there are techniques traditionally used such as ultrasonic inspection, X-ray, acoustic emission tests, among other techniques. The traditional techniques may even have a good instrumental apparatus and be well formulated for structural integrity assessment; however, these techniques cannot meet growing industrial needs, even more so when structures are in motion. The purpose of this paper is to demonstrate artificial immune systems (AISs), ate and strengthen the emergence of an innovative technological tool, the biological immune systems and AISs, and these are presented as computing methods in the field of structural health monitoring (SHM). Design/methodology/approach The concept of SHM is based on a fault detection mechanism used in industries, and in other applications, involving the observation of a structure or a mechanical system. This observation occurs through the dynamic response of periodic measurements, later related to the statistical analysis, determining the integrity of the system. This study aims to develop a methodology that identifies and classifies a signal in normal signals or in faults, using an algorithm based on artificial immunological systems, being the negative selection algorithm, and later, this algorithm classifies the failures in probabilities of failure and degree of fault severity. The results demonstrate that the proposed SHM is efficient and robust for prognosis and failure detection. Findings The present study aims to develop different fast access methodologies for the prognosis and detection of failures, classifying and judging the types of failures based on AISs. The authors declare that the present study was neither published in any other vehicle of scientific information nor is under consideration for publication in another scientific journal, and that this paper strictly followed the ethical procedures of research and publication as requested. Originality/value This study is original by the fact that conventional structural integrity monitoring methods need improvements, which intelligent computing techniques can satisfy. Intelligent techniques are tools inspired by natural and/or biological processes and belong to the field of computational intelligence. They present good results in problems of pattern recognition and diagnosis and thus can be adapted to solve problems of monitoring and identifying structural failures in mechanical and aeronautical engineering. Thus, the proposal of this study demonstrates and strengthens the emergence of an innovative technological tool, the biological immune system and the AIS, and these are presented as computation methods in the field of SHM in rotating systems - a topic not yet addressed in the literature. FATEC Aracatuba, Fac Technol Aracatuba, Dept Biofuels, Aracatuba, Brazil Univ Estadual Paulista, Fac Engn Ilha Solteira, Dept Math, Ilha Solteira, Brazil Indira Gandhi Natl Tribal Univ, Dept Math, Amarkantak, India Univ Estadual Paulista, Fac Engn Ilha Solteira, Dept Mech Engn, Ilha Solteira, Brazil Univ Estadual Paulista, Fac Engn Ilha Solteira, Dept Math, Ilha Solteira, Brazil Univ Estadual Paulista, Fac Engn Ilha Solteira, Dept Mech Engn, Ilha Solteira, Brazil FAPESP: 2019/10515-4 Conselho Nacional de Desenvolvimento Cientifico e Tecnol ~ogico: 312972/2019-9

TheMetal Gantriesis one of the main structural compositions of gas stations, bridges and sky spiders. However, such structures are vulnerable to environmental, temporal and anthropological demands, generating wear and tear that can cause these structures to collapse.With the technological advances of the Fourth Industrial Revolution, there was a transformation of the relationship between physical space and man, called the Cyber-Physic model. This technological evolution surpassed the walls of Industries 4.0, and was also established in the civil branch, solving the problems of structural insecurity, reciprocal to the metallic portico through the Structural Health MonitoringTherefore, this research work presents an innovative proposal for the development of a Structural Health Monitoring applied to Metal Gantries with decision making based on Intelligent ComputingWith this, this work seeks not only to implement the Structural Health Monitoringto guarantee safety in metallic frames, but also to optimize its operation with decision making based on the Artificial Immune System, through the Negative Selection Algorithm. Observing the results, this work proved to be efficient, robust and economically viable, having a high performance, representing the perfect Cyber-Physic measure in the monitoring of Metal Gantries and resolution of its structural problems.

Automotive suspension is one of the equipment present in a vehicle and is used to preserve its structural integrity. When used, this device uses passive actuation elements (usually springs and dampers) to perform vibration attenuation, however some companies, including Audi, have been using a semi-active control for the same function claiming that there are gains over conventional systems. . Another method commonly used in automotive suspensions is active controls, already applied to Formula 1 by Willians in 1992. This work is dedicated to the study and evaluation of the difference in behavior of an automotive suspension when subjected to each of the three control methods.