专题：Tunneling and Rock Mechanics

This cluster of papers focuses on the prediction of Tunnel Boring Machine (TBM) performance in hard rock conditions, utilizing rock mass properties, rock fragmentation, and machine learning techniques. It also includes research on risk assessment, numerical simulation, and the influence of geological conditions on TBM performance.
最新文献
Ground reaction curve for tunnels using pre-injection in consideration of rockburst potential

article Full Text OpenAlex

Formulation of drilling fluids using local materials

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Experimental study of low-strength, high-brittleness material for rockburst simulation: mechanical and non-mechanical properties

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Tire-road noise separation method for acoustic emission monitoring of prestressing steel wire breakage in post-tensioned hollow-core slab bridges

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Advanced Topology Optimisation for Porous Hip Implants: Bridging in Silico Models and In Vitro Tests

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Thermomechanical failure analysis of sandstone subjected to high ground temperature

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Decrease of Static Friction Coefficient with Interface Growth from Single to Multiasperity Contact

article Full Text OpenAlex

Editorial: Here to bridging tradition and innovation: a prelude to the Journal of Machine Learning and Data Science in Geotechnics

editorial Full Text OpenAlex

Numerical investigation on the effect of cutterhead shapes on tunnel face stability

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Fractal analysis of limestone damage under successive impact by shield disc cutters

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近5年高被引文献
Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

article Full Text OpenAlex 330 FWCI37.235

Cryogenic minimum quantity lubrication machining: from mechanism to application

article Full Text OpenAlex 258 FWCI25.561

Advancements in material removal mechanism and surface integrity of high speed metal cutting: A review

review Full Text OpenAlex 218 FWCI4.892

Application of artificial intelligence in geotechnical engineering: A state-of-the-art review

review Full Text OpenAlex 211 FWCI16.515

Prediction of Compressive Strength of Fly Ash Based Concrete Using Individual and Ensemble Algorithm

article Full Text OpenAlex 209 FWCI22.453

Prediction of cement-based mortars compressive strength using machine learning techniques

article Full Text OpenAlex 194 FWCI19.037

Review on design and development of cryogenic machining setups for heat resistant alloys and composites

article Full Text OpenAlex 179 FWCI17.251

Real-time prediction of rock mass classification based on TBM operation big data and stacking technique of ensemble learning

article Full Text OpenAlex 174 FWCI17.816

Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations

article Full Text OpenAlex 153 FWCI19.367

A novel slurry for chemical mechanical polishing of single crystal diamond

article Full Text OpenAlex 153 FWCI10.094