Main description:

This two-volume book set contains over 425 papers. While offering investigations into how sensors, networks, and signaling systems are used in dozens of civil and military applications, a special feature of this book is its exploration of how to enable intelligent life-cycle health management for the industrial internet of things. It demonstrates how machine-learning and stochastic methods add value to SHM data by taking into account changing environments and conditional events. It offers new insights on interactions between SHM data and big data for improving the safety and integrity of monitored structures. Information is also presented on how SHM sensing interfaces with smart and functional materials operating in dynamic systems. A large number of SHM applications are explained, including additive manufacturing, advanced composites, actuators, corrosion, machinery, power plants, piping, robotics, underground infrastructure, and many more.

Chapters in the book are edited presentations from a September 2019 Workshop at Stanford University co-sponsored by the U.S. Air Force Office of Scientific Research and the Office of Naval Research.

Some of the highlights of the book include:

Includes recent advances in networked sensor technology and big data
Include application areas of traditional aerospace, civil and marine/wind power infrastructure to oil/gas infrastructure, high-speed railway transportation, and autonomous vehicles.
Vision-based and machine-learning approaches to expand and improve SHM
Special topics on the use of MEMS/NEMS and CNT sensors for SHM systems, human-machine interfaces for structural inspection, dynamic data driven application systems (DDDAS), and more

Contents:

Keynote
Acoustic Emission
Aerospace Structures
Bondline Integrity Monitoring
Civil Structures
Diagnostics
Electromagnetic Impedance Based Methods
Guided Waves
Modeling, Simulation, and Digital Twins
Multifunctional Materials and Structures
Prognostics and Health Management
Reliability, Verification and Validation
Sensor Networks
Sensors and Actuators
SHM-Based Structural Design
Signal Processing
Special Session: A State-Wide Focus on SHM
Special Session: Acoustic Emission and Hybrid SHM
Special Session: Assessment of the Value of SHM Information
Special Session: Diagnostics and Prognostics of Composite Structures Towards a Condition-Based Maintenance Framework
Special Session: Digital Twin of Civil Infrastructure
Special Session: Distributed and Quasi-Distributed Fiber-Optic and Electrical Sensors and Associated Data Analysis and Management
Special Session: Dynamic Data Driven Applications Systems
Special Session: Guided Waves in Structures for SHM
Special Session: Higher Level Inspection by Instrumenting Bridge-Implementing SHM Into the Codes
Special Session: Human Performance Monitoring
Special Session: Human-Machine Interfaces for Structural Inspection
Special Session: Integration of Physical Modeling Monitoring and Machine Learning for SHM
Special Session: Multifunctional Materials and Structures
Special Session: Nonlinear Acoustic and Ultrasonic Techniques for Structural Health Monitoring
Special Session: Probabilistic SHM
Special Session: Recent Advances on Data Processing Techniques for Ultrasonics-Based SHM
Special Session: Seismic Structural Health Monitoring for Civil Structures
Special Session: Sensing Tecnologies for Evaluation and Characterization of Concrete Materials
Special Session: SHM for Heavy and Critical Equipments
Special Session: SHM Technology in Wind Turbines
Special Session: Stretchable Sensor Networks
Special Session: Structural Health Monitoring and Condition-Based Maintenance of High-Speed and Intercity Railways
Special Session: The Impact of Engineering Informatics: The Law Legacy in the Field of Stuctural Health Monitoring
Special Session: Use of Optical MEMS/NEMS and CNT Sensors for Structural Health Monitoring Systems
Special Session: Vision-Based Studies for SHM
Statistical Methods and Machine Learning
System Identification and Structural Dynamics
Sending, Diagnostics and Quantification