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4篇 您的检索式：作者名="Pablo Segarra"

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		题名	作者	年代	出处	被引量
	1	Energy components in rock blasting显示文摘	JOSE A SANCHIDRIAN PABLO SEGARRA LINA M LOPEZ	2007	International Journal of Rock Mechanics and Mining Sciences2007，44，1：	1
	2	Energy components in rock blasting显示文摘	Jose A Sanchidria N Pablo Segarra	2007	International Journal of Rock Mechanics & Min- ing Sciences2007，44，：	1
	3	Energy components in rock blasting 显示文摘	Jose A Sanchidrian Pablo Segarra Lina M Lopez	2007	Rock Mechanics and Mining Sciences2007，44，1：	1
	4	Rock mass structural recognition from drill monitoring technology in underground mining using discontinuity index and machine learning techniques显示文摘A procedure to recognize individual discontinuities in rock mass from measurement while drilling(MWD)technology is developed,using the binary pattern of structural rock characteristics obtained from in-hole images for calibration.Data from two underground operations with different drilling technology and different rock mass characteristics are considered,which generalizes the application of the methodology to different sites and ensures the full operational integration of MWD data analysis.Two approaches are followed for site-specific structural model building:a discontinuity index(DI)built from variations in MWD parameters,and a machine learning(ML)classifier as function of the drilling parameters and their variability.The prediction ability of the models is quantitatively assessed as the rate of recognition of discontinuities observed in borehole logs.Differences between the parameters involved in the models for each site,and differences in their weights,highlight the site-dependence of the resulting models.The ML approach offers better performance than the classical DI,with recognition rates in the range 89%to 96%.However,the simpler DI still yields fairly accurate results,with recognition rates 70%to 90%.These results validate the adaptive MWD-based methodology as an engineering solution to predict rock structural condition in underground mining operations.	Alberto Fernández JoséA.Sanchidrián Pablo Segarra Santiago Gómez Enming Li Rafael Navarro	2023	International Journal of Mining Science and Technology2023，33，5：	0

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