1.

Record Nr.

UNINA9910500586803321

Autore

Sause Markus G. R

Titolo

Structural Health Monitoring Damage Detection Systems for Aerospace / / edited by Markus G. R. Sause, Elena Jasiūnienė

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

3-030-72192-2

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (292 p.)

Collana

Springer Aerospace Technology, , 1869-1749

Classificazione

SCI096000TEC002000TEC008000TEC008010TEC021000TEC022000

Altri autori (Persone)

JasiūnienėElena

Disciplina

620.112

Soggetti

Materials - Analysis

Aerospace engineering

Astronautics

Electronic circuits

Measurement

Measuring instruments

Signal processing

Mechanics, Applied

Solids

Materials Characterization Technique

Aerospace Technology and Astronautics

Electronic Circuits and Systems

Measurement Science and Instrumentation

Digital and Analog Signal Processing

Solid Mechanics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di contenuto

Chapter 1. Introduction -- Chapter 2. Monitoring tasks in aerospace -- Chapter 3. Defect types -- Chapter 4. Aerospace requirements -- Chapter 5. Ultrasonics -- Chapter 6. Vibration based monitoring -- Chapter 7. Acoustic emission -- Chapter 8. Strain monitoring -- Chapter 9. Data reduction -- Chapter 10. Conclusions.

Sommario/riassunto

This open access book presents established methods of structural health monitoring (SHM) and discusses their technological merit in the



current aerospace environment. While the aerospace industry aims for weight reduction to improve fuel efficiency, reduce environmental impact, and to decrease maintenance time and operating costs, aircraft structures are often designed and built heavier than required in order to accommodate unpredictable failure. A way to overcome this approach is the use of SHM systems to detect the presence of defects. This book covers all major contemporary aerospace-relevant SHM methods, from the basics of each method to the various defect types that SHM is required to detect to discussion of signal processing developments alongside considerations of aerospace safety requirements. It will be of interest to professionals in industry and academic researchers alike, as well as engineering students.