Structural Health Monitoring Using Genetic Fuzzy Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Structural Health Monitoring Using Genetic Fuzzy Systems write by Prashant M. Pawar. This book was released on 2011-07-09. Structural Health Monitoring Using Genetic Fuzzy Systems available in PDF, EPUB and Kindle. 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 existing structures. Structural Health Monitoring Using Genetic Fuzzy Systems elaborates the process of intelligent SHM development and implementation using the evolutionary system. 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 and sizes; such problems being typical of SHM. The ideas behind fuzzy logic, genetic algorithms and genetic fuzzy systems are also explained. The functionality of the genetic fuzzy system architecture is elucidated within a case-study framework, covering: • SHM of beams; • SHM of composite tubes; and • SHM of helicopter rotor blades. Structural Health Monitoring Using Genetic Fuzzy Systems will be useful for aerospace, civil and mechanical engineers working with structures and structured components. It will also be useful for computer scientists and applied mathematicians interested in the application of genetic fuzzy systems to engineering problems.
Structural Health Monitoring
Structural Health Monitoring - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Structural Health Monitoring write by Ranjan Ganguli. This book was released on 2020-05-14. Structural Health Monitoring available in PDF, EPUB and Kindle. This book discusses systems of damage detection and structural health monitoring in mechanical, civil, and aerospace structures. It utilizes principles of fuzzy logic, probability theory, and signal processing to develop systems and approaches that are robust in the presence of both noise in the data and variations in properties of materials which are intrinsic to the process of mass production. This volume will be useful to graduate students, researchers, and engineers working in this area, especially those looking to understand and address model uncertainty in their algorithms.
Design and Validation of Structural Health Monitoring System Based on Bio-inspired Algorithms
Design and Validation of Structural Health Monitoring System Based on Bio-inspired Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Design and Validation of Structural Health Monitoring System Based on Bio-inspired Algorithms write by Maribel Anaya Vejar. This book was released on 2016. Design and Validation of Structural Health Monitoring System Based on Bio-inspired Algorithms available in PDF, EPUB and Kindle. The need of ensure the proper performance of the structures in service has made of structural health monitoring (SHM) a priority research area. Researchers all around the world have focused efforts on the development of new ways to continuous monitoring the structures and analyze the data collected from the inspection process in order to provide information about the current state and avoid possible catastrophes. To perform an effective analysis of the data, the development of methodologies is crucial in order to assess the structures with a low computational cost and with a high reliability. These desirable features can be found in biological systems, and these can be emulated by means of computational systems. The use of bio-inspired algorithms is a recent approach that has demonstrated its effectiveness in data analysis in different areas. Since these algorithms are based in the emulation of biological systems that have demonstrated its effectiveness for several generations, it is possible to mimic the evolution process and its adaptability characteristics by using computational algorithms. Specially in pattern recognition, several algorithms have shown good performance. Some widely used examples are the neural networks, the fuzzy systems and the genetic algorithms. This thesis is concerned about the development of bio-inspired methodologies for structural damage detection and classification. This document is organized in five chapters. First, an overview of the problem statement, the objectives, general results, a brief theoretical background and the description of the different experimental setups are included in Chapter 1 (Introduction). Chapters 2 to 4 include the journal papers published by the author of this thesis. The discussion of the results, some conclusions and the future work can be found on Chapter 5. Finally, Appendix A includes other contributions such as a book chapter and some conference papers.
Structural Health Monitoring Technologies and Next-Generation Smart Composite Structures
Structural Health Monitoring Technologies and Next-Generation Smart Composite Structures - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Structural Health Monitoring Technologies and Next-Generation Smart Composite Structures write by Jayantha Ananda Epaarachchi. This book was released on 2016-09-15. Structural Health Monitoring Technologies and Next-Generation Smart Composite Structures available in PDF, EPUB and Kindle. Due to the increased use of composite materials in aerospace, energy, automobile, and civil infrastructure applications, concern over composite material failures has grown, creating a need for smart composite structures that are able to self-diagnose and self-heal. Structural Health Monitoring Technologies and Next-Generation Smart Composite Structures provides valuable insight into cutting-edge advances in SHM, smart materials, and smart structures. Comprised of chapters authored by leading researchers in their respective fields, this edited book showcases exciting developments in general embedded sensor technologies, general sensor technologies, sensor response interrogation and data communication, damage matrix formulation, damage mechanics and analysis, smart materials and structures, and SHM in aerospace applications. Each chapter makes a significant contribution to the prevention of structural failures by describing methods that increase safety and reduce maintenance costs in a variety of SHM applications.
Data-Centric Structural Health Monitoring
Data-Centric Structural Health Monitoring - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data-Centric Structural Health Monitoring write by Mohammad Noori. This book was released on 2023-09-04. Data-Centric Structural Health Monitoring available in PDF, EPUB and Kindle.
