Mechanism-consistent probabilistic model for base resistance of long piles in soft soil using optimized sparse bayesian learning and factor correlation analysis

Key Points

• Base resistance is influenced significantly by soil properties and pile design, enhancing structural safety.
• Key evidence indicates improved predictions with an optimized sparse Bayesian learning approach, with fewer input parameters enhancing efficiency.
• Mechanism-consistent probabilistic modeling assesses factors that affect long piles embedded in soft soil, tested through rigorous analysis.
• Optimization of prediction frameworks may lead to better practices in civil engineering, particularly in soft soil applications.