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Ayele Tesema Chala and Richard Ray
Conventional soil classification methods are expensive and demand extensive field and laboratory work. This research evaluates the efficiency of various machine learning (ML) algorithms in classifying soils based on Robertson?s soil behavioral types. Thi...
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Bohui Wang, Sheng Li and Yanyan Ge
As the largest irrigation area in northwest China, the middle and lower reaches of the Yarkant River basin are limited in economic development by the shortage of surface water resources and the increasing demand for groundwater resources from agriculture...
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Nikolaos Makrakis, Prodromos N. Psarropoulos and Yiannis Tsompanakis
Large-scale lifelines in seismic-prone regions very frequently cross areas that are characterized by active tectonic faulting, as complete avoidance might be techno-economically unfeasible. The resulting Permanent Ground Displacements (PGDs) constitute a...
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Wanpeng Shi, Jianwei Zhang, Chunlei Xin, Danqing Song, Nan Hu and Bowei Li
With the development of infrastructure construction, an increasing number of projects are faced with the problem of hydraulic and dynamic coupling. However, traditional physical model materials mainly consider the single factor influence and lack compreh...
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Junchao Li, Ruiqi Chen and Haoyu Lin
Slope stability is one of the key engineering problems in the whole lifetime of landfills. In this paper, combined with the wedge limit equilibrium analysis, a landfill stability analysis method based on the actual failure surface is proposed, and the mo...
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