Internet of things iot platform for structure health. Nevertheless, the initial predictive pdf for the system out put is usually a. The dualstructure coding method instead of binary coding method is proposed to. For civil structures monitoring, bhattacharyya and banerji used a fuzzy inference system fis to improve damage classification in a model bridge based on strain data9. Fuzzy logic and continuum damage mechanics were used by them to process and analyze the uncertainties and complexities of damaged structure considering measurement noise. Genetic fuzzy system predicting contractile reactivity. Structural health monitoring and intelligent infrastructure.
Structural health monitoring shm can be considered to be a subset of ndt. This book serve as an allinone reference book in which the reader can receive a basic understanding of composite materials, manufacturing methods, the latest types of optical fiber sensors used for structural health monitoring of composite structures, and. This thesis is concerned about the development of bioinspired methodologies for structural damage detection and classification. In welcoming interdisciplinary studies from across several scientific communitiesincluding engineering, numerical modelling, seismology, and geotechnicswe hope to present studies from the breadth of the field and. Research article fault diagnosis of beamlike structure using. Further, two novel algorithms with potential for feature classi cation in shm. His current research interests are in sustainable urban systems and in using smart materials for structural health monitoring, damage prognosis and energy harvesting. Structural health monitoring, machine learning, damage detection, modelfree based method. Structural health monitoring through vibrationbased. Health care analysis based on fuzzy logic control system.
An international board of expert authors and editors provides readers with the theories and applications crucial to aerospace. The deployment cost of the structural health monitoring shm system is the major argument against the more widespread use of the structural health monitoring techniques. Semiactive control of seismicallyexcited baseisolated building model with friction pendulum systems. A piezoelectric sensor network with shared signal transmission wires for structural health monitoring of aircraft smart skin yu wang, lei qiu, yijie luo, rui ding, fei jiang article 106730. Genetic fuzzy systems are fuzzy systems constructed by using genetic algorithms or genetic programming, which mimic the process of natural evolution, to identify its structure and parameter when it comes to automatically identifying and building a fuzzy system, given the high degree of nonlinearity of the output, traditional linear optimization tools have several limitations. Optimal sensor placement for health monitoring of highrise. Editorial structural dynamical monitoring and fault diagnosis. Uncertainty handling in structural damage detection using. Early damage detection in composite wingbox structures using hilberthuang transform and genetic algorithm. The aim, of course, is to improve the performance of the artificial intelligent ai systems with the less possible drawbacks. Modal parameters based structural damage detection using.
Structural control optimisation and health monitoring using newly developed techniques a thesis submitted in fulfilment of the requirements for the degree of doctor of philosophy by mohsen askari faculty of engineering and information technology university of technology, sydney march, 2014. The simulation demonstrates that the neural network based on gfhla is robust and promising. Structural damage detection using modal curvature and fuzzy logic. Recent developments in damage identification of structures using. Structural damage detection and identification using fuzzy. Chapter 4 develops a genetic fuzzy system for structural health monitoring of thinwalled composite tubes. An aeroelastic analysis of composite rotor blades based on the. A fuzzy logic system fls is developed for ground based health monitoring of a helicopter rotor blade. The system utilizes a trainable adaptive interpreter such as a neural network to analyze data from the structure to characterize the structures health. Structural health monitoring of beams springerlink.
Over the past decade, a variety of information technologies have been under development in the computer science and electrical engineering fields that have transformed all facets of our society. With the advancement in information technology, the. Structural damage detection based on fuzzy lssvm integrated. Structural health monitoring of composite structures using. Journal of structural control and health monitoring 2008. Damage detection in structural beam elements using hybrid neuro fuzzy systems. Structural damage is modeled as a loss of stiffness at the damaged location.
Structural health monitoring, data mining, framework, platform, modularization introduction in recent years the frequent occurrence of natural disasters and the continuous enhancement of peoples capability for disaster prevention and reduction bring the need of structural health monitoring shm technology for civil structures. Structural damage detection, data mining technique, artificial neural network, genetic algorithm, principal component analysis recent developments in damage identification of structures using data mining 1 introduction structural systems in civil engineering such as tall buildings, long hydraulic structures, and long. Maity and tripathy 10 used genetic algorithm ga to detect and assess the structural damage by changing natural frequencies. Fuzzy logic, structural health monitoring, genetic algorithm, uncertainty, pattern recognition, vibrations 1. Structural identification and damage detection using. Bioinformatics derives knowledge from computer analysis of biological data. Damage monitoring of aluminum sheet repaired with fiber metal laminate patch by acoustic emission modares. A fuzzy logic system for ground based structural health monitoring of a helicopter rotor using modal data journal of intelligent material systems and structures 122001. Health care analysis based on fuzzy logic control system m. When it comes to automatically identifying and building a fuzzy system, given the high degree of nonlinearity of the output, traditional linear. Damage identi cation in structural health monitoring shm involves three main steps. Pdf recent advances in soft computing tools of structural health. Structural health monitoring using genetic fuzzy systems will be useful for aerospace, civil and mechanical engineers working with structures and structured components.
Revised version of lecture notes from preprints of the international summer school. Ten lectures on genetic fuzzy systems ulrich bodenhofer software competence center hagenberg emailulrich. Optimal sensor placement osp technique plays a key role in the structural health monitoring shm of largescale structures. A system for monitoring the structural integrity of a mechanical structure. Structural health monitoring shm has emerged as a prominent research area in recent years owing to increasing concerns about structural safety, and the need to monitor and extend the lives of existi. Structural health monitoring using genetic fuzzy systems elaborates the. A genetic fuzzy radial basis function neural network for structural health monitoring of composite laminated beams.
Condition monitoring of robust damage of cantilever shaft using. Changes in the modal curvatures due to damage are fuzzified using gaussian fuzzy sets and mapped to damage location and size using the fls. Structural health monitoring using genetic fuzzy systems by prashant m. Chapter 3 illustrates the genetic fuzzy system for structural health monitoring of a beam. The use of a genetic algorithm automates the development of the fuzzy system, and makes the method easy to use for problems involving a large number of measurements, damage locations. Structural health monitoring of large civil engineering. Covering all aspects of structural health monitoring, this encyclopedia will prove an essential reference source for all engineers, engineering managers and scientists active in the field of structural design, operational management and maintenance. Structural damage is modeled as a loss of stiffness at the damaged location that can result from delamination. A fuzzy logic system fls with a new sliding window defuzzifier is proposed for structural damage detection using modal curvatures. Structural damage detection and identification using neural. The fuzzy logic approach is thus able to extract maximum information from very limited and uncertain data. Introduction ndt is susceptible to uncertainty due to noisy measurements. Matrix crack detection in thinwalled composite beam using genetic fuzzy system show. Fuzzy unsupervisedlearning techniques for diagnosis in a.
Wang, a genetic fuzzy radial basis function neural network for structural health monitoring of composite laminated beams, expert systems with applications, vol. Diagnostic systems failures, or as more known, structural health monitoring shm carry out tasks such as data acquisition and processing, analysis and validation, detection, characterization and interpretation of adverse changes in a structure of to aid decision. Punjab engineering college, chandigarh research funding. Design and validation of structural health monitoring system. Hall, the effective management and use of structural health data, international workshop on structural health monitoring, pp. Increase in the demand for reliable structural health information led to the development of structural health monitoring shm. Volume 38, issue 9, september 2011, pages 1183711842. Architecture and performance kenneth pipe 103 experience with health and usage monitoring systems in helicopters dy dinh le 104 thermal proteerion system monitoring 01 space structures william h. For the numerical simulation of rotorbearing systems, xiang et al.
Ten lectures on genetic fuzzy systems semantic scholar. Based on the criterion of the osp for the modal test, an improved genetic algorithm, called generalized genetic algorithm gga, is adopted to find the optimal placement of sensors. This highly comprehensive, introductory book explains the basics of structural health monitoring aspects of composite structures. Structural damage detection, data mining technique, artificial neural network, genetic algorithm, principal component analysis recent developments in damage identification of structures using data mining 1 introduction structural systems in civil engineering such. The modal frequencies of a glassepoxy laminates beam with varying assumed delamination sizes and locations were computed using finite element method and fed into the genetic fuzzy rbf neural network to predict the delamination location and its extent. Such tubes are used for power transmission poles and in other important structures. Ideas were pooled about the stateoftheart, stateofthepractice, and future trends of smart sensors, advanced sensor networks and integrated systems for structural health monitoring of intelligent infrastructures, and realtime monitored data based damage identification and localization, model updating, safety evaluation and reliability. Pdf fuzzylogicbased health monitoring and residuallife. Structural systems in civil engineering are exposed to deterioration and damage during their. Specially in pattern recognition, several algorithms have shown good performance.
Structural control optimisation and health monitoring. Probabilistic analysis is performed using monte carlo simulation mcs. Structural health monitoring of wind turbine blades using statistical pattern recognition d. Structural damage detection and health monitoring is very important in many applications, and a key related issue is the method of damage detection. While data sensing is the core of any shm, tracking the data anytime anywhere is a prevailing challenge. Data mining technology for structural health monitoring. A fuzzy logic system for ground based structural health monitoring of a helicopter rotor using modal data. Pawar and ganguli have proposed genetic fuzzy system to nd the location and extent of damage in beams and. Experimental investigation of damage detection in beam using. Fuzzy clustering in structural health monitoring different fuzzy approaches have been implemented to accomplish shm tasks. Structural damage detection using time domain responses.
Pdf structural health monitoring of civil structure is a complex engineering problem. Structural health monitoring using genetic fuzzy systems elaborates the process of intelligent shm development and implementation using the evolutionary system. A genetic fuzzy radial basis function neural network for. Read a genetic fuzzy radial basis function neural network for structural health monitoring of composite laminated beams, expert systems with applications on deepdyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Ck soh has coauthored a book on analysis and design of offshore structures published by the singapore structural steel society in 1991, a pcbased courseware on intelligent. A fuzzy logic system fls is developed for ground based health monitoring. Finally, a hybrid soft computing architecture known as genetic fuzzy system is. Fuzzy logic was proposed by lotfi zadeh for the first time in 1965. Genetic fuzzy systems are fuzzy systems constructed by using genetic algorithms or genetic programming, which mimic the process of natural evolution, to identify its structure and parameter.
The genetic fuzzy systems work quite well with noisy data and are recommended for online structural health monitoring of composite helicopter rotor blades. Structural health monitoring using realtime modal parameter identification algorithm. May 17, 2012 a genetic fuzzy radial basis function neural network for structural health monitoring of composite laminated beams expert systems with applications, vol. A genetic fuzzy system based on improved fuzzy functions asli celikyilmaz department of eecs, university of california, berkeley, ca 947201776, united states email. Luyu li, gangbing song and jinping ou, hybrid active mass damper amd vibration suppression of nonlinear high. Pdf recent advances in intelligentbased structural. Hybrid intelligent systems based on different integration schemes of neural network, fuzzy logic and genetic algorithm have received much attention recently.
Optimization of sensor placement for structural health. An aeroelastic analysis of composite rotor blades based on the finite element method in space and time and with implanted matrix cracking and debondingdelamination damage is used to obtain measurable system parameters such as blade response, loads and strains. Structural health monitoring using genetic fuzzy systems springer. Helicopter rotor system fault detection using physics based model and neural networks. Genetic fuzzy systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. Structural health monitoring of composite tubes springerlink. A genetic fuzzy radial basis function neural network for structural health monitoring of composite laminated beams expert systems with applications, vol. Structural damage detection and identification using.
The cantilever beam structure is fixed at one end and free at the other and can model airplane wings, helicopter blades, and turbine blades, among other things. Structural health monitoring through vibrationbased approaches. Experimental investigation of damage detection in beam. The vibration analysis of the composite tube is conducted using the finite element method. Structural health monitoring shm involves the use of continuous monitoring using. A structural health monitoring shm methodology is developed for composite rotor blades. Structural damage detection and identification using neural networks. Ann, principal component analysis pca and genetic algorithm.
Us5774376a structural health monitoring using active. Some widely used examples are the neural networks, the fuzzy systems and the genetic algorithms. A fuzzy logic system fls with a new sliding window defuzzifier is developed for damage detection. Ganguli, structural damage detection using modal curvature and fuzzy logic, structural health monitoring, vol. Structural health monitoring using genetic fuzzy systems. The autonomy of shm systems has also been addressed through the possible ways. Inputoutput system identification of simultaneous massstiffness damage assessment using discrete. Prediction of upcoming accidents and estimation of useful life span of a structure are facilitated through shm. Matrix crack detection in thinwalled composite beam using genetic fuzzy. Neural networks or genetic neural networks could likewise be used to learn dynamic data.
The optimization space was searched by using a genetic algorithm with a. Genetic fuzzy system for online structural health monitoring. Encyclopedia of structural health monitoring wiley. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to genetic algorithms that adapt and learn the knowledge base of a fuzzy rulebased system.
This data can consist of the information stored in the genetic code, and also experimental results and hence imprecision from various. Structural health monitoring using genetic fuzzy systems will be useful for aerospace, civil and mechanical engineers working with structures and structural components. Mechanical systems and signal processing vol 141, july. Intelligent techniques for bidirectional structural health. Feature extraction and classi cation techniques for health monitoring. Damage identification in structural health monitoring upcommons. Nov 09, 2017 structural health monitoring using genetic fuzzy systems by prashant m. Design and validation of structural health monitoring. This special issue aims to explore structural health monitoring via vibrationbased approaches, especially for complex systems. Structural health monitoring shm and vibrationbased structural damage detection have been a continuous interest for civil, mechanical and aerospace engineers over the decades. A genetic fuzzy system based on improved fuzzy functions.
A fuzzy logic system for ground based structural health. Structural health monitoring shm can be considered to be a subset of ndt as it aims to estimate the health of a structure. Burhan turksen tobb economy and technology university, department of industrial engineering ankara, turkey. Sep 01, 2011 read a genetic fuzzy radial basis function neural network for structural health monitoring of composite laminated beams, expert systems with applications on deepdyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
Recent developments in damage identification of structures. The effect of changes in the damage evaluation parameter frequency due to uncertainty in material properties is explored and the results of the probabilistic analysis are used to develop a robust fls for damage detection. Although gfss seem powerful in modeling, there are. Uncertainty handling using fuzzy logic in structural health monitoring. May 17, 2012 18 august 2016 structural health monitoring.