Maximizing hydropower station safety against earthquake through extreme learning machine-enabled shear waves velocity prediction
Tao Song,
Di Guan,
Zhen Wang
et al.
Abstract:Hydropower stations are important infrastructures for generating clean energy. However, they are vulnerable to natural disasters such as earthquakes, which can cause severe damage and even lead to catastrophic failures. Therefore, it is essential to develop effective strategies for maximizing hydropower station safety against earthquakes. To evaluate the potential shear rate of surrounding rock layers, the shear wave velocity (Vs) parameter can be used as a useful tool. This parameter helps to determine the ve… Show more
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