A model to determine hole spacing in the rock fracture process by non-explosive expansion material
来源期刊：International Journal of Minerals Metallurgy and Materials2011年第5期
论文作者：Shobeir Arshadnejad Kamran Goshtasbi Jamshid Aghazadeh
文章页码：509 - 514
摘 要：The application of the non-explosive expansion material （NEEM） is widely used as the controlled fracture method in quarry mining,especially in hard rocks.The pressure of NEEM is an important parameter in causing rock fracture.An empirical model based on hole spacing was developed to determine the pressure of NEEM in the rock fracture process.Primarily,the empirical model was developed by the mathematical method,utilizing dimensional analysis.Then,the Phase2 code,which is based on the finite element method,was utilized to predict crack growth in rocks.The results of numerical analysis show slight deviations from the empirical model.Hence,the polynomial regression analysis was used to modify the model.Finally,the modified model shows a good agreement with the results gained from numerical modeling.
Shobeir Arshadnejad1，Kamran Goshtasbi2，Jamshid Aghazadeh3
1. Department of Mining Engineering,Mahallat Branch,Islamic Azad University,Mahallat 1473813175,Iran2. Department of Mining Engineering,Tarbiat Modares University,Tehran 14115-143,Iran3. Department of Mining and Metallurgical Engineering,Amirkabir University of Technology,Tehran 1522451567,Iran
摘 要：The application of the non-explosive expansion material （NEEM） is widely used as the controlled fracture method in quarry mining,especially in hard rocks.The pressure of NEEM is an important parameter in causing rock fracture.An empirical model based on hole spacing was developed to determine the pressure of NEEM in the rock fracture process.Primarily,the empirical model was developed by the mathematical method,utilizing dimensional analysis.Then,the Phase2 code,which is based on the finite element method,was utilized to predict crack growth in rocks.The results of numerical analysis show slight deviations from the empirical model.Hence,the polynomial regression analysis was used to modify the model.Finally,the modified model shows a good agreement with the results gained from numerical modeling.
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