← Back to Research

Wireless Sensing for Composite Pipelines

SHMComposite pipesWireless sensingAramco

Overview

This research focuses on wireless strain sensing for composite pipeline structures, targeting practical structural health monitoring in energy infrastructure.

In collaboration with Saudi Aramco, capacitive wireless strain sensors are developed and demonstrated for monitoring composite pipes—bridging laboratory sensing platforms with field-relevant non-metallic pipeline applications.

The work supports denser, lower-overhead monitoring of composite piping systems by combining capacitive sensing with wireless interrogation suited to industrial SHM constraints.

Highlights

  • Capacitive wireless strain sensors for composite pipe SHM
  • Application-driven collaboration with Saudi Aramco
  • Wireless interrogation tailored to non-metallic pipeline monitoring
  • Presented at EWSHM 2026

Figures

Comparison of piezoresistive strain-gauge readout (low-level DC signal) with capacitive LC sensing (higher-voltage AC frequency readout and more consistent SNR).
Comparison of piezoresistive strain-gauge readout (low-level DC signal) with capacitive LC sensing (higher-voltage AC frequency readout and more consistent SNR).
IoT sensor and aggregator workflows for low-power measurement, peer-to-peer data transfer, and mobile or stationary aggregation on composite pipes.
IoT sensor and aggregator workflows for low-power measurement, peer-to-peer data transfer, and mobile or stationary aggregation on composite pipes.
RTR pipe experiment with co-located capacitive strain sensor and reference strain gauge, and strain-time comparison under stepwise loading.
RTR pipe experiment with co-located capacitive strain sensor and reference strain gauge, and strain-time comparison under stepwise loading.

Collaborators

KAUSTSaudi AramcoENERCOMP

Related publications

  • Capacitive Wireless Strain Sensors for Structural Health Monitoring of Composite Pipes
    H. A. Mahmoud, O. Khalifa, A. H. Seno, M. A. Hussaini, N. Kouzahya, A. Asiri, A. Al-Jarro, A. Shehri, H. Saiari, T. Y. Al-Naffouri, G. Lubineau · EWSHM 2026 (2026) · [link]