Multivariate adaptive regression splines and neural network models for prediction of pile drivability

• Main Authors: Zhang, Wengang, Goh, Anthony Teck Chee
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2015
• Subjects: Back propagation neural network; Multivariate adaptive regression splines; Pile drivability; Computational efficiency; Nonlinearity
• Online Access: https://hdl.handle.net/10356/80973; http://hdl.handle.net/10220/38985
• Institution: Nanyang Technological University

Piles are long, slender structural elements used to transfer the loads from the superstructure through weak strata onto stiffer soils or rocks. For driven piles, the impact of the piling hammer induces compression and tension stresses in the piles. Hence, an important design consideration is to chec...