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Data Acquisition Protocol for Determining Embedded Sensitivity Functions

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A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring.

Sahar Hassani¹, Ulrike Dackermann¹

¹Centre for Infrastructure Engineering and Safety, School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW 2052, Australia.

Sensors (Basel, Switzerland)

|February 28, 2023

Summary

This summary is machine-generated.

This review explores advanced sensor technologies for non-destructive testing (NDT) and structural health monitoring (SHM) of civil structures. It evaluates various sensing methods and data analytics for improved structural assessment and safety.

Keywords:

advanced sensor technologies damage identification methods machine learning non-destructive evaluation non-destructive testing structural health monitoring

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Area of Science:

Civil Engineering
Materials Science
Sensor Technology

Background:

Civil structures require continuous monitoring for safety and longevity.
Rapid advancements in sensor technology and data analytics offer new possibilities for structural health assessment.

Purpose of the Study:

To systematically review and evaluate recent advances in sensor technologies for non-destructive testing (NDT) and structural health monitoring (SHM).
To assess the suitability of various sensing technologies for determining the health state of civil structures.

Main Methods:

Comprehensive literature review of conventional and advanced sensor technologies.
Systematic evaluation of sensing technologies based on capabilities, reliability, maturity, affordability, and innovation.
Analysis of associated data analytics for NDT and SHM systems.

Main Results:

Identified key sensor technologies including fiber optics, laser vibrometry, acoustic emission, ultrasonics, thermography, drones, MEMS, and magnetostrictive sensors.
Highlighted the advantages, disadvantages, and limitations of each technology in the context of NDT and SHM.
Emphasized the importance of data analytics in conjunction with sensor deployment.

Conclusions:

Advanced sensor technologies and data analytics are crucial for effective NDT and SHM of civil structures.
The selection of appropriate sensing technologies depends on specific structural monitoring requirements and desired outcomes.
Continued innovation in sensing and data processing will further enhance structural health assessment capabilities.