Kyushu University Academic Staff Educational and Research Activities Database
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YOSHIMI SONODA Last modified date:2022.09.30

Professor / Structural and Earthquake Engineering
Faculty of Engineering


Graduate School
Undergraduate School
Other Organization
Administration Post
Dean of the School of Engineering


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Homepage
https://kyushu-u.pure.elsevier.com/en/persons/yoshimi-sonoda
 Reseacher Profiling Tool Kyushu University Pure
Phone
092-802-3372
Fax
092-802-3372
Academic Degree
Doctor of Engineering
Country of degree conferring institution (Overseas)
No
Field of Specialization
Structural Engineering
Total Priod of education and research career in the foreign country
01years00months
Research
Research Interests
  • A Study on the Crashworthiness of the Derailment Device
    keyword : Crashworthiness, Derailment Device, Impact Analysis
    2006.04.
  • Development research on diagnostic method using the rotary hammering test
    keyword : concrete structure, diagnostic method, the rotary hammering test
    2006.01.
Academic Activities
Papers
1. Yoshimi Sonoda, Chi Lu, Yifan Yin, Basic research on usefulness of convolutional autoencoders in detecting defects in concrete using hammering sound, Structural Health Monitoring, 10.1177/14759217221122296, 2022.09, Because hammering sound tests are inexpensive and can be performed easily, they are commonly used as an inspection method for examining the presence of defect areas (voids or peelings) in aged concrete structures. However, the evaluation of the health of concrete using hammering sounds depends on the subjective experience of the inspector. Therefore, there is a demand to develop a highly reliable and objective diagnostic method that is accurate and efficient. In this study, we used a convolutional autoencoder (CAE) to develop a diagnostic method that could assist the inspectors with quantitative diagnostic results of tapping sound when detecting defect areas in concrete. In particular, we verified the anomaly detection accuracy of hammering sound data of actual bridges that have deteriorated over time using the proposed CAE model..