The Identification of Optimal Frequency for Ultrasonic Transducers in Concrete-Defect Detection using COMSOL® Simulator

Ultrasonic testing for concrete evaluation is a non-destructive method that uses high-frequency acoustic waves to identify internal defects in concrete structures. This study aims to determine the optimal frequency for ultrasonic transducers in detecting defects in concrete structures. Simulations were conducted using COMSOL Multiphysics® software. The research involves designing, simulating, and analyzing a concrete model with various defects to evaluate the performance of different ultrasonic frequencies. A two-dimensional (2-D) concrete model was simulated, with three different types of defects introduced to assess their impact on the arrival time of ultrasonic signals. The simulation integrated pressure acoustics, solid mechanics, electrostatics, and electric circuit modules, with precisely defined material properties and meshing parameters. Results indicated that frequencies of 200 kHz and 500 kHz showed the highest sensitivity to defects. However, 200 kHz was identified as the optimal frequency due to its balance between sensitivity and energy loss. This frequency effectively distinguished individual defects and represents a reliable method for defect detection in concrete structures.

Authors

Institutions

Publication Details

Journal
ELEKTRIKA- Journal of Electrical Engineering
Published
2025-08-29
DOI
https://doi.org/10.11113/elektrika.v24n2.589
Citations
1
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
1.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Identification of Optimal Frequency for Ultrasonic Transducers in Concrete-Defect Detection using COMSOL® Simulator

Noorhazirah Sunar, Juliza Jamaludin, Anita Ahmad, Sallehuddin Ibrahim et al.
1 citations
ELEKTRIKA- Journal of Electrical Engineering
Geophysical Methods and Applications
1.15
article

The Identification of Optimal Frequency for Ultrasonic Transducers in Concrete-Defect Detection using COMSOL® Simulator

Noorhazirah Sunar, Juliza Jamaludin, Anita Ahmad, Sallehuddin Ibrahim, Ruzairi Abdul Rahim, Farah Aina Jamal Mohamad
article en
1 citations

Abstract

Ultrasonic testing for concrete evaluation is a non-destructive method that uses high-frequency acoustic waves to identify internal defects in concrete structures. This study aims to determine the optimal frequency for ultrasonic transducers in detecting defects in concrete structures. Simulations were conducted using COMSOL Multiphysics® software. The research involves designing, simulating, and analyzing a concrete model with various defects to evaluate the performance of different ultrasonic frequencies. A two-dimensional (2-D) concrete model was simulated, with three different types of defects introduced to assess their impact on the arrival time of ultrasonic signals. The simulation integrated pressure acoustics, solid mechanics, electrostatics, and electric circuit modules, with precisely defined material properties and meshing parameters. Results indicated that frequencies of 200 kHz and 500 kHz showed the highest sensitivity to defects. However, 200 kHz was identified as the optimal frequency due to its balance between sensitivity and energy loss. This frequency effectively distinguished individual defects and represents a reliable method for defect detection in concrete structures.

ELEKTRIKA- Journal of Electrical EngineeringVol. 24(2)
University of Technology Malaysia (MY)
Openalex Percentile: Top 19%
Geophysical Methods and Applications
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.