C
C. Shi
Researcher at China University of Petroleum
Publications - 25
Citations - 135
C. Shi is an academic researcher from China University of Petroleum. The author has contributed to research in topics: Drilling riser & Engineering. The author has an hindex of 6, co-authored 22 publications receiving 80 citations. Previous affiliations of C. Shi include University of Texas at Austin.
Papers
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One-dimensional convolutional neural network for damage detection of jacket-type offshore platforms
TL;DR: This study explores the possibility to use the one-dimensional convolutional neural network (CNN) to extract the damage sensitive features automatically from the raw strain response data of a structure under a certain excitation without requiring any hand-crafted feature extraction.
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On the Vortex-Induced Vibration Response of a Model Riser and Location of Sensors for Fatigue Damage Prediction
TL;DR: In this paper, the authors used the measured data to describe complexities inherent in riser motions accompanying vortex-induced vibration (VIV) and discussed how such data sets (and even less spatially dense monitoring) can be used effectively in predicting fatigue damage rates, which are of critical interest for deepwater risers.
Journal ArticleDOI
Ambient vibration responses denoising for operational modal analysis of a jacket-type offshore platform
Xingxian Bao,C. Shi +1 more
TL;DR: Results indicate that the NExT-SLRA-CE method can remove noise from measured signals and improve the efficiency and accuracy of the modal frequencies and damping ratios estimation.
Journal ArticleDOI
Empirical Procedures for Long-Term Prediction of Fatigue Damage for an Instrumented Marine Riser
TL;DR: In this article, the authors used empirical techniques to estimate the long-term fatigue damage and the fatigue failure probability of a marine riser subject to different current profiles encountered in a deepwater environment.