machine learning supremacymeta-learningugly dataexplainable site recognitionMachine learning (ML) is widely used in many industries, resulting in recent interests to explore ML in geotechnical engineering. Past review papers focus mainly on ML algorithms while this paper advocates an agenda to put data...
Advancing TBM Performance: Integrating Shield Friction Analysis and Machine Learning in Geotechnical Engineering The Ylvie model is a novel method towards transparent Tunnel Boring Machine (TBM) data analysis for tunnel construction. The model innovatively applies mac... M Schlicke,H Wannenmacher,K Nü...
111 Science and Innovation Bases: Geotechnical and Underground Engineering Intelligent Construction and Safety Supporting Organization World Transport Convention (Rail Transit Academic Sub-Committee) ISSMGE TC304 (Engineering Practice of Risk Assessment and Management) ISSMGE TC309 (Machine Learning and Big Da...
et al. Estimation of compressibility of Bukit Timah Granitic residual soils in Singapore and variability analysis. International Journal of Geotechnical Engineering, 2022, 16(3): 327-342. DOI:10.1080/19386362.2021.1968649 37. Kainthura, P., Sharma, N. Machine learning driven landslide ...
Machine learningBearing capacityProbabilisticShallow foundationMetaheuristicOptimizationIn response to the limitations of traditional deterministic machine learning approaches in geotechnical engineering, this study introduces a probabilistic model to quantify uncertainty in bearing capacity predictions for cohesionless ...
The application of the prediction method in the Three Gorges Reservoir area in China showed that the MT-InSAR can accurately monitor landslide deformation and machine learning algorithms can accurately establish the nonlinear relationship between the landslide deformation and its triggers. ...
RF was employed in40, while “Bayesian lithology classification and an optimized back propagation neural network (BPNN)” was used in41. Other models include ANN in42, ANN and XGBoost in43, ensemble machine learning in44, and PSO-RF techniques in45. In various geotechnical engineering fields,...
Machine learning-based analysis and prediction model on the strengthening mechanism of biopolymer-based soil treatment 来自 国家科技图书文献中心 喜欢 0 阅读量: 14 作者:H Lee,J Lee,S Ryu,I Chang 摘要: The introduction of bio-based materials has been recommended in the geotechnical engineering ...
Data-driven models that are built using machine learning (ML) algorithms are becoming increasingly common-place in subsurface science and engineering applications. The impetus for adopting this emerging technology comes from its success in multiple fields such as consumer marketing, finance, design and ...
Prophetical Modeling Using Limit Equilibrium Method and Novel Machine Learning Ensemble for Slope Stability Gauging in Kalimpong. Iranian Journal of Science and Technology - Transactions of Civil Engineering, 2024, 48(1): 411-430. DOI:10.1007/s40996-023-01156-0 35. Wang, L., Yang, K., Wu...