Modeling subsurface geotechnical integrity via interpolated resistivity–chargeability and SPT datasets with machine learning: A case study from Perak, Malaysia

已完结 10 由小何同学发布于 2025/11/2 10:49:57

DOI:10.1016/j.pce.2025.104093
作者：Gabriel Abraham Bala , Andy Anderson Bery , Mbuotidem David Dick , Adedibu Sunny Akingboye , Mfoniso Udofia Aka , Joseph Gnapragasan , Nsidibe Ndarake Okonna , Yeshu
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Accurate subsurface assessment is critical for ensuring the integrity and longevity of engineered structures, especially in weathered terrains characterized by highly variable soil and rock

应助信息

求助已完结，文件已删除 如有需求请重新发布求助一键发布

感谢使用Book学术
本站所有文献仅供个人学习和参考，请勿将文件进行传播。共同遵守网站规定和相关知识产权规定。

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:其它数据库Optics Communications Volume 111, Issues 1–2, 15 September 1994, Pages 116-122