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About IWSHM 2021

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The 13th International Workshop on Structural Health Monitoring (IWSHM) will be held on March 15-17, 2022 at Stanford University, CA. We are planning for an in-person meeting. IWSHM remains committed to providing a forum for information sharing, collaboration, and advancing research that is vital to our community.
The workshop features reviews of SHM growth in the last two decades and examines opportunities for future SHM research and applications. The theme of the IWSHM 2021 is "Enabling Next-Generation SHM for Cyber-Physical Systems."  Papers in support of autonomous Inspection and/or intelligent data-driven diagnostic systems and the Industry Internet of Things (IIOT) for preventive maintenance will be highlighted besides general applications in aerospace, mechanical engineering, and civil infrastructure.
This biennial workshop aims to assess the current state-of-the-art technologies and to identify key breakthroughs and emerging R&D challenges that are critical to structural health monitoring. The workshop is also intended to promote communication and cross-fertilization between multiple platforms.
Technical presentations will be made by invited and selected distinguished speakers, and plenary discussions on future research directions and “road-map” will be organized. Potential applications of SHM techniques to military and civil structures will be discussed. An exhibition area will be available for product and technology demonstrations.

Due to numerous requests and upon reviewing the current pandemic situation, the deadline for full paper submission to the 13th IWSHM has been extended to November 15th, 2021.

Workshop Chairs
Prof. Fu-Kuo Chang (Organizer)
Aeronautics and Astronautics
Stanford University, Stanford CA 94305 

Prof. Alfredo Guemes (Co-Organizer)
ETSI Aeronautics
Madrid, Spain



• Novel smart sensors
• Sensors for extreme environments
• MEMS/NEMS sensors
• Fiber optics
• Piezoelectric/magneto-electric sensors
• CNT sensors

Remote Sensing/Aerial Sensing

• Remote sensing with edge computing
• Real-time data communication and cloud-based computing
• Robotic and UAV platforms for SHM and maintenance intervention

Sensor Networks/System Integration

• Bio-inspired sensor networks
• Remote & wireless communication
• Self-diagnostic networks
• Self-configurable & fault-tolerance networks
• Advanced manufacturing techniques
• Hardware-software integration
• Sensor network reliability

Multifunctional Materials and Structures

• Multifunctional materials
• Self-sensing materials
• Novel energy storage systems
• Energy harvesting and self-diagnostic structures
• Novel composite materials

Diagnostics/Signal Processing/State Awareness

• Advanced and/or statistical signal processing
• Data mining/fusion and machine learning
• Real-time diagnostics and System identification
• Environmental compensation
• Inverse methods
• Big data analysis

Prognostics/Health Management/Safety Assurance

• Remaining life estimation
• Quality control
• Life-cycle monitoring
• Integrated structural health management
• System-wide safety assurance
• Condition assessment

Cyber-Physical Systems for Aerospace/Civil SHM

• Data-driven simulations and diagnostics
• Digital twins
• Integration of data-driven and physics-based methods
• Multi-physics, multi-scale modeling approaches
• Manufacturing with sensor data
• Multi-objective design optimization
• SHM-based design.


• Quantification techniques
• Probability of detection (POD)
• Reliability methods
• Validation/certification processes, etc.

Applications/Industry Internet of Things (IIOT)

• Asset Health Management of critical infrastructure such as Manufacturing plants or Oil/gas infrastructure
• Life-cycle health management of OEM products
• Application to Civil infrastructure: Bridges, highway systems, buildings, power plants, underground structures
• Application to Transportation Systems: Aircraft and space vehicles, rotorcraft, satellites, space, stations trains, ships, submarines, automobiles
• Autonomous Systems: Drones, UAVs, self-driving cars, robotics, energy management systems
• Medical Devices: Wearable devices, implants with sensing capabilities, health monitoring devices