Case study of deep learning based image analysis for vibration measurement in physical model tests
Case study of deep learning based image analysis for vibration measurement in physical model tests
This study aims to measure dynamic displacement using a deep learning-based algorithm, so call You Only Look Once (YOLO) in three types of experiment: a shaker test, dynamic centrifuge test, and resonant column/torsional shear test. For the shaker test, a plastic block that vibrated vertically under a sinusoidal wave was recorded by a smartphone camera. In the resonant column/torsional shear test, the rotational vibration of the driving plate in the loading system was recorded by the smartphone. In the dynamic centrifuge test, a single degree of freedom structure attached with an accelerometer was excited by the Kobe earthquake. These three applications were analyzed by YOLO and its performance are evaluated under various conditions.
Seung Jae Han; S. J. Park; See He Han; Yun Wook Choo; Jeehyo Jeon; Susik Yoon
11th International Conference on Physical Modelling in Geotechnics (ICPMG2026)
Session 1: New facilities, new equipment, and measuring techniques
https://doi.org/10.53243/ICPMG2026-124