Experimental study on rapid prediction of uniaxial compressive strength of rock based on vibrating signals of raw rock with drilling

In order to reveal the response relationship between the vibrating signals with drilling and the uniaxial compressive strength(UCS) of rock and to realize the rapid sensory prediction of the UCS, a hybrid genetic algorithm optimization (GA-BP) artificial neural network rapid prediction method for th...

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Bibliografiske detaljer

Hovedforfatter:	LIU Heqing 1, 2, 3 , LIU Jiankang 1, 2 , HAO Jian 1, 2, ZHENG Yining 4, XIAO Yong 5, HU Hui 1, 2, LUAN Xuekun 1, 2
Format:	Artigo
Sprog:	Inglês
Udgivet:	Editorial Office of Chinese Journal of Geotechnical Engineering 2025-08-01
Serier:	Yantu gongcheng xuebao
Fag:	vibrating signal with drilling uniaxial compressive strength time and frequency domain characteristic artificial neural network
Online adgang:	https://www.cgejournal.com/en/article/doi/10.11779/CJGE20240378
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