• Journal of the Korean Geotechnical Society
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• v.30 no.9
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• pp.29-39
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• 2014

In this study, model pile-load test with numerical analysis was carried out to compare and analyze pile behaviour according to interface properties. In the model test, Close Range Photogrammetry (CRP) was chosen to measure the ground deformation. In addition, model steel and concrete piles were used. Based on the model pile test, interface elements around the model pile were used to simulate the slip effect. Interface properties were adopted as interface reduction factor $R_{inter}$. Interface reduction factor, $R_{inter}$ plays a key role in the interface properties. Through this study, it was found that the model ground behaviour measured by CRP corresponded well to the one predicted by the numerical analysis. And, the interface strength reduction factor, $R_{inter}$ value of the steel pile was higher than that of the concrete pile.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.30 no.6
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• pp.541-547
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• 2017

Climate change has become the main cause of the exacerbation in natural disasters. Social Overhead Capital(SOC) structure needs to be checked for displacement and crack periodically to prevent damage and the collapse caused by natural disaster and ensure the safety. For efficient structure maintenance, the optical image technology is applied to the Structure Health Monitoring(SHM). However, optical image is sensitive to environmental factors. So it is necessary to verify its validity. In this paper, the accuracy of estimating the vertical displacement was verified with respect to environmental condition such as natural light, measurement distance, and the number of image sheets. The result of experiments showed that the effect of natural light on accuracy of estimating vertical displacement was the greatest of all. The measurement angle which was affected by the change in measurement distance was also important to check the vertical displacement. These findings will be taken into account by applying appropriate environmental condition to minimize errors when the bridge was measured by camera. It will also enable the application of optical images to the SHM.