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Fiber-Optic Distributed Acoustic Sensing. Principles and Applications. Photonic Materials and Applications Series

  • Book

  • December 2026
  • Elsevier Science and Technology
  • ID: 6250431
Fiber-Optic Distributed Acoustic Sensing: Principles and Applications addresses the fundamentals of fiber optic distributed acoustic sensors (DAS) and their most important application fields. It is divided into three parts, the first of which covers the theoretical aspects of the working principle of DAS technology, including the description of the main optical components used for DAS monitoring, concepts of Rayleigh scattering, and approaches for resolving the spatial information based on optical time-domain and optical frequency-domain reflectometry. The second part focuses on the different interrogation techniques existing today, including dedicated signal processing and other advanced methods for enhancing sensing performance. The third part of the book is devoted to the main industrial applications of DAS technology, such as structural health monitoring, security, geophysical studies and seismic monitoring, including also relevant aspects related to the industrial standardization of the technology. For a reader with a basic background in photonics, the book provides the basis for knowing and understanding distributed acoustic sensing technology and its applications, in a single volume. It is relevant for a broad range of scientists and researchers working in the fields of photonics, sensing, environmental and structural health monitoring, optical communications, and optical fiber systems.

Table of Contents

1. Introduction to distributed acoustic sensing Part One General principles
2. Optical fibers and components in DAS
3. Rayleigh scattering
4. Basics of Standard and Phase-Sensitive Optical time-domain reflectometry (OTDR)
5. Optical frequency-domain reflectometry (OFDR) Part Two DAS technology
6. Modeling DAS systems and performance parameters
7. Amplitude-based OTDR DVS
8. Direct detection using dual pulses and interferometers
9. Coherent detection
10. Chirped pulse DAS
11. Time-expanded DAS
12. Signal fading
13. Data interpretation and waterfall diagrams
14. Pulse coding and signal processing
15. Distributed amplification
16. Nonlinear detection
17. DAS using Optical fibers with enhanced backscattering Part Three Applications and industrial aspects
18. Structural Health Monitoring
19. Oil and gas industries
20. Geophysics, seismic and undersea applications
21. Perimeter Security and intrusion detection
22. Traffic monitoring
23. Optical fiber cables for DAS
24. Application of artificial intelligence (AI) and machine learning to DAS systems
25. Standardization of DAS technology

Authors

Marcelo A. Soto Associate Professor, Universidad T�cnica Federico Santa Mar�a, Valpara�so, Chile.

Marcelo A. Soto is an Associate Professor at the Universidad T�cnica Federico Santa Mar�a, Valpara�so, Chile. His research interests focus on fiber-optic sensors, distributed fiber sensing, optical signal processing, fiber-optic communications, and nonlinear fiber optics.

Sonia Martin-Lopez Scientific Researcher, Instituto de �ptica, Consejo Superior de Investigaciones Cient�ficas (CSIC), Madrid, Spain.

Sonia Martin-Lopez is a Scientific Researcher at the National Research Council of Spain (CSIC) and was formerly an Associate Professor with the Photonics Engineering Group at the University of Alcala, Madrid, Spain. Her current research interests include nonlinear fiber optics and distributed optical fiber sensors.

Gabriele Bolognini Director of Research at the National Research Council of Italy, Bologna, Italy..

Gabriele Bolognini is Director of Research at the National Research Council of Italy, Bologna, Italy. His research interests lie in the fields of sensing, optoelectronics, and photonics.

Yonas Seifu Muanenda Assistant Professor of Electronic Engineering, Institute of Mechanical Intelligence of the Scuola Superiore Sant'Anna, Pisa, Italy. Yonas Seifu Muanenda is an Assistant Professor of Electronic Engineering at the Institute of Mechanical Intelligence of the Scuola Superiore Sant'Anna, Pisa, Italy. His research activities are focused on distributed acoustic sensing.