Structural Health Monitoring (SHM) is the science and application of sensing and actuation features to become an integral part of engineering structures and to allow structures’ life cycle performance to be seen from a holistic point of view. Within this, diagnostics and prognostics are therefore key elements. The objective of SHM is to allow engineers to holistically manage the operation of engineering structures through the structures’ life cycle, leading to new breakthroughs in structural engineering.

SHM is part of the answer to the major environmental and economic challenges facing society to build a sustainable future by:

– Extending the life of critical structures and materials;
– Optimising the operational availability of structures;
– Reducing maintenance costs while improving safety.

To build our future and enlarge our community on SHM, a special attention will be given to offer young professionals an exciting opportunity to interact with experienced SHM experts and to bring their enthusiasm, freshness and in-depth knowledge of the latest technologies.

Although named a ‘workshop’, EWSHM has so far very much been run like a conference. Over the years the number of exhibitors at EWSHM has gradually increased as well as the demonstration of potential applications.

General scope :

• Exchange latest achievements in SHM and related fields
• Get SHM technology demonstrated
• Incubate initiatives for future SHM developments and deployments
• Compliance to past, present and future SHM events (APWSHM; EWSHM, IWSHM, SHMII etc.)

Topics

Applications

• Aerospace
• Automotive
• Civil engineering
• Cultural heritage
• Energy
• Manufacturing
• Naval
• Pressure equipment
• Railway
• Other

Methods and technologies

• Acoustic emission
• Artificial intelligence
• Contactless sensing
• Data handling for SHM
• Digital twin
• Electric and electromagnetic sensors
• Energy harvesting / autonomous sensors
• Guided waves
• MEMS and nano-sensors
• Modelling and numerical simulation
• Optical fibers
• Prognostics
• Reliability
• Sensors and sensor networks
• Signal processing
• Ultrasonics
• Wireless
• Other