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Flexible Sensorized Tube for Pipeline Defect Detection Based on Bending and Pressure Sensing.

Yikang Chen¹, Hongyuan Chen², Yuan Yin¹

¹School of Future Science and Engineering, Soochow University, Suzhou 215123, China.

Sensors (Basel, Switzerland)

|June 12, 2026

Summary

This study introduces a novel flexible sensor for urban pipelines, integrating pressure and bending detection. The device accurately identifies pipeline defects by differentiating signal patterns, enhancing infrastructure monitoring.

Keywords:

flexible sensor laser-induced graphene (LIG)multimodal sensing pipeline defect detection structural health monitoring

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Area of Science:

Materials Science and Engineering
Sensor Technology
Civil Infrastructure Monitoring

Background:

Urban pipelines are critical infrastructure, but their curved and confined nature complicates sensing.
Existing flexible sensors suffer from signal interference between pressure and bending measurements.
A need exists for robust, multimodal sensing solutions for pipeline integrity assessment.

Purpose of the Study:

To develop an integrated multi-array sensor for urban pipelines capable of distinguishing pressure and bending signals.
To address the challenge of cross-interference in conventional flexible sensing devices.
To enable reliable defect detection and spatial monitoring within complex pipeline structures.

Main Methods:

Integration of laser-induced graphene pressure sensors and bending sensors onto a polydimethylsiloxane substrate using flexible printed circuits.
Development of a sensing architecture based on geometry-induced strain-field differentiation.
Testing in simulated pipeline environments to analyze signal patterns from defects like protrusions and corrosion.

Main Results:

The integrated sensor demonstrated high linearity (R² > 0.99), low hysteresis (2.68%), and a fast response time (~50 ms) under pressure loading (0-120 kPa).
Geometry-induced strain-field differentiation effectively suppressed pressure-bending cross-interference.
Distinct signal patterns were observed for protrusion and corrosion defects, enabling clear identification.

Conclusions:

The proposed sensor integration strategy provides stable and reliable multimodal signal acquisition for urban pipelines.
The device enables accurate defect identification and spatial posture sensing in complex, curved pipeline conditions.
This technology offers a promising solution for enhanced pipeline integrity monitoring and maintenance.