High-resolution ultrasonic waveform analysis for decoupling physical effects in multi-damaged and healing in concrete using vibro-acoustic feature engineering and machine learning
- DOI
- 10.1016/j.ultras.2026.108153
- Published
- 2026-11
- Container
- Ultrasonics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ultras.2026.108153,
title = {High-resolution ultrasonic waveform analysis for decoupling physical effects in multi-damaged and healing in concrete using vibro-acoustic feature engineering and machine learning},
author = {Ali A. Shakeri and Ali Kadkhodaei and Sadegh Dardaei and Fariborz M. Tehrani},
year = {2026},
journal = {Ultrasonics},
doi = {10.1016/j.ultras.2026.108153},
url = {https://doi.org/10.1016/j.ultras.2026.108153}
}RIS
TY - JOUR TI - High-resolution ultrasonic waveform analysis for decoupling physical effects in multi-damaged and healing in concrete using vibro-acoustic feature engineering and machine learning AU - Ali A. Shakeri AU - Ali Kadkhodaei AU - Sadegh Dardaei AU - Fariborz M. Tehrani PY - 2026 JO - Ultrasonics DO - 10.1016/j.ultras.2026.108153 UR - https://doi.org/10.1016/j.ultras.2026.108153 ER -
APA
Shakeri, A. A., Kadkhodaei, A., Dardaei, S., & Tehrani, F. M. (2026). High-resolution ultrasonic waveform analysis for decoupling physical effects in multi-damaged and healing in concrete using vibro-acoustic feature engineering and machine learning. Ultrasonics. https://doi.org/10.1016/j.ultras.2026.108153
Source records
- crossref · retrieved 2026-11-10T18:55:04.288Z