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Advance Rate Predictions of Tunnel Boring Machines Using Bayesian-Optimized CNN-LSTM
Publisher: American Society of Civil Engineers
Abstract: During the tunnelling process of a tunnel boring machine (TBM), accurately predicting the advance rate (AR) is highly desirable for enhancing construction efficiency and safety. Inaccurate AR estimates may lead to extended ...