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Ultrasound-based Pulse Wave Velocity Evaluation in Mice
Published on: February 14, 2017
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Measurement of ultrasonic pulse velocity with improved accuracy using automatic threshold error correction
Piyush1,2, Nitin Dhiman1,2, Bishan Kumar1,2
1Pressure Vacuum and Ultrasonic Metrology, CSIR National Physical Laboratory, Dr. K S Krishnan Marg, New Delhi 110012, India.
The Review of Scientific Instruments
|December 11, 2023
Summary
This study introduces a new circuit to improve Ultrasonic Pulse Velocity (UPV) measurements for concrete health monitoring. The developed system significantly reduces errors caused by threshold detection, enhancing accuracy in structural assessments.
Area of Science:
- Civil Engineering
- Materials Science
- Non-Destructive Testing
Background:
- Ultrasonic Pulse Velocity (UPV) is crucial for assessing concrete strength and structural integrity.
- Current UPV systems using single threshold detection are susceptible to threshold errors, impacting measurement accuracy.
- Errors up to 10% in ultrasonic transit time can occur with standard 50 kHz UPV testers.
Purpose of the Study:
- To develop and describe an improved UPV measurement circuit.
- To detect and compensate for threshold errors in UPV measurements.
- To enhance the accuracy and reliability of concrete health monitoring.
Main Methods:
- Implementation of a novel UPV measurement circuit.
- Utilizing two threshold comparators and two hybrid counters for error correction.
- Testing the developed circuit's performance across a range of receiver gains.
Main Results:
- The developed circuit effectively detects and compensates for threshold errors.
- Minimized threshold error across a wide range of receiver gains.
- Achieved significant improvement in measurement accuracy, with deviations within 100 ns.
Conclusions:
- The new circuit offers a substantial improvement over existing UPV measurement systems.
- Accurate concrete health monitoring is enhanced through threshold error compensation.
- The developed system provides more reliable data for structural health assessment.
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