This book presents the latest advancements in predicting Tunnel Boring Machine (TBM) performance in hard rock, a critical aspect of mechanized tunneling. Featuring contributions from renowned international experts, the book systematically covers key topics across ten chapters. Four pivotal chapters (2 to 5) are authored by the original developers of the world's leading performance prediction modelsCSM, NTNU, QTBM, and UTproviding unique insights into their latest versions, formulations, and applications. The remaining chapters address crucial related areas, including TBM performance in seismic zones, cutterhead modeling, disc cutter wear, feature optimization, and the application of artificial intelligence (XAI/ML) for enhanced, interpretable predictions. Serving as both a reference and a practical guide, this book is essential for researchers, engineers, and professionals involved in TBM project planning, design, and execution.
