Prediction of interfaces of geological formations using the multivariate adaptive regression spline method

• Main Authors: Qi, Xiaohui, Wang, Hao, Pan, Xiaohua, Chu, Jian, Chiam, Kiefer
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Civil engineering; Geological Interface; Rockhead
• Online Access: https://hdl.handle.net/10356/154029
• Institution: Nanyang Technological University

The design and construction of underground structures are significantly affected by the distribution of geological formations. Prediction of the geological interfaces using limited data has been a difficult task. A multivariate adaptive regression spline (MARS) method capable of modeling nonlinearit...