Deep Learning Prediction of Settlement and Stress Fields in Geosynthetic Reinforced Pile Supported Soft Ground

A probabilistic data-driven framework for modelling clay consolidation and settlement behavior

Predicting consolidation settlement in large-scale reclamation projects remains difficult because laboratory consolidation test data are sparse in space and natural marine clays show strongly non-linear structured behavior. This study develops a probabilistic data-driven framework to reconstruct spatially continuous e–...

Diaphragm-Wall Settlement Prediction and Relative Anomaly Screening for Deep Excavations Using Multi-Model Comparison and Intelligent Optimization

Deep excavations are high-risk geotechnical activities, and accurate prediction of diaphragm-wall settlement is important for construction monitoring and deformation control. This study investigates cumulative vertical settlement at 23 diaphragm-wall monitoring points from the deep excavation of Tianjin Goldin Finance...

Bayesian-Optimized Ensemble Machine Learning for Predicting Settlement of Cohesionless Soil Under Loads

A FIELD-CALIBRATED NUMERICAL–EMPIRICAL FRAMEWORK FOR DEEP EXCAVATION DESIGN IN SOFT ALLUVIAL SOILS OF İZMIR, TÜRKIYE

In densely populated urban environments, deep excavations in soft ground present critical geotechnical challenges due to high groundwater table and weak cohesive soils. Diaphragm walls supported by struts or tieback anchors are frequently used to stabilize such excavations, yet predicting deformation behavior remains c...

Machine Learning Prediction of the Ground Reaction Curve in Sand with the MATLAB GUI Platform

The proposed framework combined a curated database, neural network-based curve prediction, and hyperparameter optimization, providing a robust approach for evaluating the soil arching effect, providing a robust approach for evaluating the soil arching effect.

Field-Constrained Dual-Correction Model for Predicting Casing Stress During Multi-Stage Hydraulic Fracturing in Deep Coalbed Methane Horizontal Wells

Deep coalbed methane reservoirs exhibit strong heterogeneity and complex stress environments, making accurate prediction of casing loads during multi-stage hydraulic fracturing challenging. This study developed a coupled prediction framework integrating three-dimensional geomechanical modeling, modified induced stress...