Sensors, Algorithms and Applications for Structural Health Monitoring

Eric Sjerve

ISBN 10: 3319887394 / ISBN 13: 9783319887395

Published by Springer International Publishing Sep 2018, 2018

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides insights into sensor development for structural health monitoring. Current technological advances mean that the field is changing rapidly, making standardization an ongoing challenge. As such, the book gathers several essential contributions in the area of sensor development, including macro-fiber composite sensors for crack detection and optical fiber Bragg gratings for flaw detection. It also discusses the use of the welds in the structure as sensors, and probability estimation of detection for various sensor configurations. In addition, it presents methods based on vibration signal variations to detect small defects in composite components or to monitor large structures. Last but not least, the book includes special structural health monitoring applications in industrial components such as a nuclear boiler support spines and industrial presses as well as in corrosion monitoring of pipes. 112 pp. Englisch.

Seller Inventory # 9783319887395

Bibliographic Details

• Title: Sensors, Algorithms and Applications for Structural Health Monitoring
• Publisher: Springer International Publishing Sep 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 3319887394
• ISBN 13: 9783319887395
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 7D millimeters 235 millimeters width by 155 millimeters height by 7 millimeters depth
• Weight: 184 grams

About this title

Synopsis

This book provides insights into sensor development for structural health monitoring. Current technological advances mean that the field is changing rapidly, making standardization an ongoing challenge. 

As such, the book gathers several essential contributions in the area of sensor development, including macro-fiber composite sensors for crack detection and optical fiber Bragg gratings for flaw detection. It also discusses the use of the welds in the structure as sensors, and probability estimation of detection for various sensor configurations. In addition, it presents methods based on vibration signal variations to detect small defects in composite components or to monitor large structures. Last but not least, the book includes special structural health monitoring applications in industrial components such as a nuclear boiler support spines and industrial presses as well as in corrosion monitoring of pipes.

 

About the Author

Bastien Chapuis received his PhD degree in 2010 for his work prepared at the French Aerospace Lab (ONERA). Since then, he is research engineer at CEA LIST where he coordinates several industrial and academic research projects on NDT. Since 2017 he is senior expert in NDT and SHM at CEA and is the current Chair of IIW sub-commission V-D “Structural Health Monitoring”. His research includes performance demonstration using simulation, signal processing for ultrasonic defect detection and development of structural health monitoring technologies.

Eric Sjerve holds a B.Sc. in Physics from the University of British Columbia (1990), and a Ph.D. from the University of Toronto in the field of applied laser physics (1996).  He has been involved with the commercialization of NDT and related technologies for over 20 years, primarily in the petrochemical sector in Western Canada.  This time has primarily been spent working on practically-oriented technique development for field usage in a variety of different NDT methods.  More recently, his work has centred on integrating engineering and robotics into the services IRISNDT offers. Eric is also the IIW Commission V Chairman on NDT and Quality Assurance of Welded Products, where his work has been focused on publication of IIW Handbooks on automated ultrasonic testing, austenitic weld inspection and phased arrays, ISO standardization of inspection techniques and more recently NDT applied to additive manufacturing.  His position at IRISNDT is Chief Technology Officer where he leads innovation activities within the company.