Smart Sensing and Data Analytics in Geotechnical Structures

Traditional geotechnical monitoring methods often face limitations in terms of accuracy, real-time performance, and comprehensiveness. The emergence of smart sensing technologies provides new opportunities for geotechnical engineering. These technologies can integrate advanced sensor manufacturing, data acquisition, and information processing techniques, enabling more precise and timely monitoring of geotechnical parameters such as soil deformation, stress, and pore water pressure.

The goal of this Research Topic is to explore and apply smart sensing in geotechnical engineering. Integrate smart sensors for real-time geotechnical data collection. Use advanced analyses to interpret data, predict risks, such as landslides and foundation settlement, and support safe geotechnical project operation.

This Research Topic invites manuscripts addressing:

Development and application of novel smart sensors (e.g., fiber Bragg grating (FBG) sensors for strain monitoring, piezoresistive sensors for soil stress measurement, optical fiber sensors for distributed deformation sensing, graphene-based sensors for high-sensitivity detection of soil moisture and chemical changes, and wireless sensor networks for large-scale monitoring) for tracking soil properties such as stress, strain, and pore water pressure.

Integration of sensing systems into geotechnical structures (e.g., embedding self-powered IoT sensors in pile foundations, installing microelectromechanical systems (MEMS) in retaining walls, or deploying radar-based remote sensing for stability assessment).

Data-processing algorithms designed for smart sensing applications (e.g., machine learning models for real-time anomaly detection in foundation monitoring data, deep learning-based inversion of sensor data to predict soil parameter distributions, or edge computing techniques for reducing latency in wireless sensing networks).