Call for Paper

" Building Trusted and Reliable SHM: From Structural Awareness to Autonomous Decisions "

Over the years, Structural Health Monitoring (SHM) has evolved from a promising sensing technology into a powerful capability for assessing the condition and integrity of structural systems. While significant advances have been made in sensing, signal processing, machine learning, digital twin, and prognostics, the next frontier is enabling SHM information to support and ultimately drive operational decisions with confidence. As autonomous vehicles, intelligent infrastructure, advanced air mobility, space systems, and Industry 4.0 environments become increasingly prevalent, the need for trusted, real-time structural awareness has never been greater. SHM must move beyond detecting and diagnosing damage to providing actionable information that can be integrated into autonomous decision-making frameworks.

The theme of IWSHM 2027, "Building Trusted and Reliable SHM: From Structural Awareness to Autonomous Decisions," focuses on the technologies, methodologies, and validation approaches needed to transform Structural Health Monitoring (SHM) into a trusted and reliable operational capability tool. The workshop will explore advances in autonomous sensing, physics-based artificial intelligence, digital twins, data transfer learning, prognostics, uncertainty quantification, SHM certification, cybersecurity, and human–machine collaboration.

A key emphasis will be on establishing trust, reliability, explainability, and long-term sustainment of SHM systems so that structural information can be confidently used to support mission planning, maintenance decision-making, fleet management, and autonomous operations. As SHM deployments generate increasingly large volumes of data, the workshop will also address data collection, management, communication, storage, and encryption strategies required to ensure data integrity, security, and accessibility.

By bringing together researchers, industry leaders, operators, and regulatory agencies, IWSHM 2027 will provide a forum for defining the roadmap toward intelligent systems that continuously assess structural condition, predict future performance, securely manage data, and support informed decision-making. These capabilities will enable safer, more reliable, sustainable, and operationally effective aerospace, civil, energy, and defense systems.

Key Emerging Technical Areas of Interest:

·         Autonomous SHM and self-aware structures
·         Physics-based AI and reliable machine learning
·         Data transfer learning and fleet-wide deployment of SHM
·         Data management, communication and encryption
·         Uncertainty quantification and confidence metrics for SHM
·         Human-machine decision support for SHM
·         Certification, standards, and regulatory acceptance for SHM systems
·         SHM for autonomous aircraft, spacecraft, vehicles, and infrastructure
·         Edge computing and real-time onboard data analytics for SHM
·         Sustainability through condition-based maintenance and life extension

General Technical Areas of Interest:

·            Sensors/Actuators: Novel micro, nano, robust, reliable sensors and actuators
·            Sensor Networks/System Integration
·            Multifunctional Materials and Structures
·            Diagnostics/Signal Processing/State Awareness
·            Lamb Waves, Built-in Acoustic Ultrasound Diagnostics
·            Fiber Optic Sensing and Diagnostics
·            Drone and Remote Sensing and Diagnostics
·            Environmental Compensations and Damage Quantification
·            Prognostics and Diagnostic Health Management
·            Digital Twin/Simulations/SHM-based Design
·            Applications/Industry Internet of Things (IIOT)
·            Aerospace, Civil/Mechanical/Marine/Power/Utility Infrastructures Applications

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