Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Development Of An Integrated Software Solution For Piezoelectric Active Sensing In Structural Health Monitoring PDF full book. Access full book title Development Of An Integrated Software Solution For Piezoelectric Active Sensing In Structural Health Monitoring.
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2007 |
| Genre | : |
| ISBN | : |
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2007 |
| Genre | : |
| ISBN | : |
Structural Health Monitoring (SHM) promises to deliver great benefits to many industries. Primarily among them is a potential for large cost savings in maintenance of complex structures such as aircraft and civil infrastructure. However, several large obstacles remain before widespread use on structures can be accomplished. The development of three components would address many of these obstacles: a robust sensor validation procedure, a low-cost active-sensing hardware and an integrated software package for transition to field deployment. The research performed in this thesis directly addresses these three needs and facilitates the adoption of SHM on a larger scale, particularly in the realm of SHM based on piezoelectric (PZT) materials. The first obstacle addressed in this thesis is the validation of the SHM sensor network. PZT materials are used for sensor/actuators because of their unique properties, but their functionality also needs to be validated for meaningful measurements to be recorded. To allow for a robust sensor validation algorithm, the effect of temperature change on sensor diagnostics and the effect of sensor failure on SHM measurements were classified. This classification allowed for the development of a sensor diagnostic algorithm that is temperature invariant and can indicate the amount and type of sensor failure. Secondly, the absence of a suitable commercially-available active-sensing measurement node is addressed in this thesis. A node is a small compact measurement device used in a complete system. Many measurement nodes exist for conventional passive sensing, which does not actively excite the structure, but there are no measurement nodes available that both meet the active-sensing requirements and are useable outside the laboratory. This thesis develops hardware that is low-power, active-sensing and field-deployable. This node uses the impedance method for SHM measurements, and can run the sensor diagnostic algorithm also developed here. Finally, the need for an integrated system for SHM is of primary consideration in this thesis. Without such a system the widespread adoption of SHM will not take place, and this thesis addresses the issue by developing an integrated SHM solution. The solution incorporates active-sensing impedance-measurement based hardware and software with a combination of existing damage-detection algorithms. The result is an integrated system for in-field measurement, validation and analysis of structures. The system specifically incorporates the sensor validation procedure and sensor node also developed in this thesis. In conclusion, recommendations for the future direction of this research topic are made.
| Author | : |
| Publisher | : |
| Total Pages | : 103 |
| Release | : 2007 |
| Genre | : |
| ISBN | : |
Structural Health Monitoring (SHM) promises to deliver great benefits to many industries. Primarily among them is a potential for large cost savings in maintenance of complex structures such as aircraft and civil infrastructure. However, several large obstacles remain before widespread use on structures can be accomplished. The development of three components would address many of these obstacles: a robust sensor validation procedure, a low-cost active-sensing hardware and an integrated software package for transition to field deployment. The research performed in this thesis directly addresses these three needs and facilitates the adoption of SHM on a larger scale, particularly in the realm of SHM based on piezoelectric (PZT) materials. The first obstacle addressed in this thesis is the validation of the SHM sensor network. PZT materials are used for sensor/actuators because of their unique properties, but their functionality also needs to be validated for meaningful measurements to be recorded. To allow for a robust sensor validation algorithm, the effect of temperature change on sensor diagnostics and the effect of sensor failure on SHM measurements were classified. This classification allowed for the development of a sensor diagnostic algorithm that is temperature invariant and can indicate the amount and type of sensor failure. Secondly, the absence of a suitable commercially-available active-sensing measurement node is addressed in this thesis. A node is a small compact measurement device used in a complete system. Many measurement nodes exist for conventional passive sensing, which does not actively excite the structure, but there are no measurement nodes available that both meet the activesensing requirements and are useable outside the laboratory. This thesis develops hardware that is low-power, active-sensing and field-deployable. This node uses the impedance method for SHM measurements, and can run the sensor diagnostic algorithm also developed here. Finally, the need for an integrated system for SHM is of primary consideration in this thesis. Without such a system the widespread adoption of SHM will not take place, and this thesis addresses the issue by developing an integrated SHM solution. The solution incorporates active-sensing impedance-measurement based hardware and software with a combination of existing damage-detection algorithms. The result is an integrated system for in-field measurement, validation and analysis of structures. The system specifically incorporates the sensor validation procedure and sensor node also developed in this thesis. In conclusion, recommendations for the future direction of this research topic are made.
| Author | : Maria Pina Limongelli |
| Publisher | : Springer |
| Total Pages | : 447 |
| Release | : 2019-04-24 |
| Genre | : Technology & Engineering |
| ISBN | : 303013976X |
This book includes a collection of state-of-the-art contributions addressing both theoretical developments in, and successful applications of, seismic structural health monitoring (S2HM). Over the past few decades, Seismic SHM has expanded considerably, due to the growing demand among various stakeholders (owners, managers and engineering professionals) and researchers. The discipline has matured in the process, as can be seen by the number of S2HM systems currently installed worldwide. Furthermore, the responses recorded by S2HM systems hold great potential, both with regard to the management of emergency situations and to ordinary maintenance needs. The book’s 17 chapters, prepared by leading international experts, are divided into four major sections. The first comprises six chapters describing the specific requirements of S2HM systems for different types of civil structures and infrastructures (buildings, bridges, cultural heritage, dams, structures with base isolation devices) and for monitoring different phenomena (e.g. soil-structure interaction and excessive drift). The second section describes available methods and computational tools for data processing, while the third is dedicated to hardware and software tools for S2HM. In the book’s closing section, five chapters report on state-of-the-art applications of S2HM around the world.
| Author | : Yuanye Bao |
| Publisher | : |
| Total Pages | : 48 |
| Release | : 2014 |
| Genre | : Detectors |
| ISBN | : |
| Author | : Daniel Balageas |
| Publisher | : John Wiley & Sons |
| Total Pages | : 496 |
| Release | : 2010-01-05 |
| Genre | : Technology & Engineering |
| ISBN | : 0470394404 |
This book is organized around the various sensing techniques used to achieve structural health monitoring. Its main focus is on sensors, signal and data reduction methods and inverse techniques, which enable the identification of the physical parameters, affected by the presence of the damage, on which a diagnostic is established. Structural Health Monitoring is not oriented by the type of applications or linked to special classes of problems, but rather presents broader families of techniques: vibration and modal analysis; optical fibre sensing; acousto-ultrasonics, using piezoelectric transducers; and electric and electromagnetic techniques. Each chapter has been written by specialists in the subject area who possess a broad range of practical experience. The book will be accessible to students and those new to the field, but the exhaustive overview of present research and development, as well as the numerous references provided, also make it required reading for experienced researchers and engineers.
| Author | : Simon Laflamme |
| Publisher | : MDPI |
| Total Pages | : 342 |
| Release | : 2019-11-13 |
| Genre | : Technology & Engineering |
| ISBN | : 3039217585 |
Smart sensors are technologies designed to facilitate the monitoring operations. For instance, power consumption can be minimized through on-board processing and smart interrogation algorithms, and state detection enhanced through collaboration between sensor nodes. Applied to structural health monitoring, smart sensors are key enablers of sparse and dense sensor networks capable of monitoring full-scale structures and components. They are also critical in empowering operators with decision making capabilities. The objective of this Special Issue is to generate discussions on the latest advances in research on smart sensing technologies for structural health monitoring applications, with a focus on decision-enabling systems. This Special Issue covers a wide range of related topics such as innovative sensors and sensing technologies for crack, displacement, and sudden event monitoring, sensor optimization, and novel sensor data processing algorithms for damage and defect detection, operational modal analysis, and system identification of a wide variety of structures (bridges, transmission line towers, high-speed trains, masonry light houses, etc.).
| Author | : M H Ferri Aliabadi |
| Publisher | : World Scientific |
| Total Pages | : 286 |
| Release | : 2017-12-18 |
| Genre | : Technology & Engineering |
| ISBN | : 1786343940 |
Structural health monitoring (SHM) is a relatively new and alternative way of non-destructive inspection (NDI). It is the process of implementing a damage detection and characterization strategy for composite structures. The basis of SHM is the application of permanent fixed sensors on a structure, combined with minimum manual intervention to monitor its structural integrity. These sensors detect changes to the material and/or geometric properties of a structural system, including changes to the boundary conditions and system connectivity, which adversely affect the system's performance.This book's primary focus is on the diagnostics element of SHM, namely damage detection in composite structures. The techniques covered include the use of Piezoelectric transducers for active and passive Ultrasonics guided waves and electromechanical impedance measurements, and fiber optic sensors for strain sensing. It also includes numerical modeling of wave propagation in composite structures. Contributed chapters written by leading researchers in the field describe each of these techniques, making it a key text for researchers and NDI practitioners as well as postgraduate students in a number of specialties including materials, aerospace, mechanical and computational engineering.
| Author | : Victor Giurgiutiu |
| Publisher | : Academic Press |
| Total Pages | : 1025 |
| Release | : 2014-06-20 |
| Genre | : Technology & Engineering |
| ISBN | : 0124201024 |
Structural Health Monitoring with Piezoelectric Wafer Active Sensors, Second Edition provides an authoritative theoretical and experimental guide to this fast-paced, interdisciplinary area with exciting applications across a range of industries. The book begins with a detailed yet digestible consolidation of the fundamental theory relating to structural health monitoring (SHM). Coverage of fracture and failure basics, relevant piezoelectric material properties, vibration modes in different structures, and different wave types provide all the background needed to understand SHM and apply it to real-world structural challenges. Moving from theory to experimental practice, the book then provides the most comprehensive coverage available on using piezoelectric wafer active sensors (PWAS) to detect and quantify damage in structures. Updates to this edition include circular and straight-crested Lamb waves from first principle, and the interaction between PWAS and Lamb waves in 1-D and 2-D geometries. Effective shear stress is described, and tuning expressions between PWAS and Lamb waves has been extended to cover axisymmetric geometries with a complete Hankel-transform-based derivation. New chapters have been added including hands-on SHM case studies of PWAS stress, strain, vibration, and wave sensing applications, along with new sections covering essential aspects of vibration and wave propagation in axisymmetric geometries. Comprehensive coverage of underlying theory such as piezoelectricity, vibration, and wave propagation alongside experimental techniques Includes step-by-step guidance on the use of piezoelectric wafer active sensors (PWAS) to detect and quantify damage in structures, including clear information on how to interpret sensor signal patterns Updates to this edition include a new chapter on composites and new sections on advances in vibration and wave theory, bringing this established reference in line with the cutting edge in this emerging area
| Author | : |
| Publisher | : |
| Total Pages | : 123 |
| Release | : 2006 |
| Genre | : |
| ISBN | : |
This thesis develops a data acquisition system and long piezoelectric sensors for a technique of structural health monitoring based on a structural neural system and continuous sensors. The structural neural system uses distributed sensing and parallel signal processing in real time to monitor large structures like an aircraft for damage. The structural neural system consists of piezoceramic nerves and electronic logic circuits and was tested on an aluminum plate that was fatigue loaded using a mechanical testing machine. The testing indicated that the SNS analog processor using conventional monolithic piezoceramic sensors was able to detect the acoustic emissions using continuous fiber sensors. The acoustic emission level in aluminum was small but detectable. A higher sensitivity of the neural system was needed. Therefore, further sensor development was undertaken including fabricating piezoelectric active fiber continuous sensors. The testing in this thesis indicates that the continuous sensor can becloser to the damage site, and is more sensitive than conventional discrete sensors. In thisthesis a data acquisition system was developed using LabVIEW and single fiber continuous sensors were developed for the structural neural system. The testing indicates that the structural neural system will be able to continuously monitor a structure and provide a long-term history of the health of the structure.
