Breakthrough in Structural Health Monitoring: Metamaterial-Based Sensors for Damage Classification

Strategic Insights -

Researchers from the Hong Kong University of Science and Technology have made a significant breakthrough in structural health monitoring (SHM) with the development of metamaterial-based sensors that can physically process structural vibration information to perform designated SHM tasks, such as structural damage warning. This innovative approach enables in-situ data acquisition and analysis directly at the sensing node, minimizing the need for further information processing or resource-consuming operations.

Key Takeaways:

  • The researchers have introduced a metamaterial-based sensor (MM-sensor) that seamlessly integrates sensing and computing into a pure-physical entity, without relying on external electronic power supplies.
  • The MM-sensor utilizes the bandgap properties of a locally resonant metamaterial plate (LRMP) to physically differentiate the dynamic behavior of structures before and after damage.
  • The decision boundary of the binary classification is programmable via a proposed inverse design framework, allowing for adjustments to the bandgap features.
  • The MM-sensor has been validated through simulations and laboratory experiments, demonstrating a binary damage classification metric of over 93% through a purely physical mechanism.
  • The research has been peer-reviewed and published in the journal Mechanical Systems and Signal Processing.
  • The MM-sensor has the potential to revolutionize SHM, enabling real-time damage detection and classification in resource-restricted scenarios.

Statistics:

  • The MM-sensor has been fabricated using a locally resonant metamaterial plate (LRMP), which has a first natural frequency ranging from 9.54 Hz to 81.86 Hz.
  • The bandgap features of the MM-sensor can be adjusted through inverse design, allowing for a wider range of design choices.
  • The MM-sensor has demonstrated a binary damage classification metric of over 93% through a purely physical mechanism.
  • The research has been supported by the Guangdong Provincial Fund-Special Innovation Project, Research Grants Council of Hong Kong through the Research Impact Fund, and Guangdong Provincial Key Lab of Integrated Communication, Sensing and Computation for Ubiquitous Internet of Things.

Sources:

  • NewsRx. Researchers' Work from Hong Kong University of Science and Technology Focuses on Information Technology (Mechanical In-sensor Computing: a Programmable Meta-sensor for Structural Damage Classification Without External Electronic Power). Information Technology Newsweekly. November 4, 2025; p 793.
  • Lai, Z., Zhang, T., Peng, X., Zhou, M., & Hu, G. (2025). Mechanical In-sensor Computing: a Programmable Meta-sensor for Structural Damage Classification Without External Electronic Power. Mechanical Systems and Signal Processing, 240. doi: 10.1016/j.ymssp.2025.00 [Reference not provided, assumed to be a preprint or a conference paper]