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Journal of Mining and Environment، جلد ۷، شماره ۱، صفحات ۲۵-۳۵

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عنوان انگلیسی Probabilistic analysis of stability of chain pillars in Tabas coal mine in Iran using Monte Carlo simulation
چکیده انگلیسی مقاله Performing a probabilistic study rather than a determinist one is a relatively easy way to quantify the uncertainty in an engineering design. Due to the complexity and poor accuracy of the statistical moment methods, the Monte Carlo simulation (MCS) method is wildly used in an engineering design. In this work, an MCS-based reliability analysis was carried out for the stability of the chain pillars in the Tabas coal mine, located in Iran. For this purpose, the chain pillar strengths were calculated using the Madden formula, the vertical stress on the chain pillars was determined by an empirical method, and a numerical modeling was performed using the FLAC3D software. The results obtained for the probabilistic stability analysis of the chain pillars showed that the failure probability obtained for the designed pillars by applying the MCS method were approximately the same as that obtained by the advanced second moment (ASM) method, and the values obtained varied between 12 and 18 percent.
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نویسندگان مقاله m نجفی |
department of mining and metallurgical engineering, yazd university, yazd, iran
سازمان اصلی تایید شده: دانشگاه یزد (Yazd university)

سید m e جلالی | seyed m e
school of mining, petroleum amp;amp; geophysics engineering, shahrood university of technology, shahrood, iran
سازمان اصلی تایید شده: دانشگاه صنعتی شاهرود (Shahrood university of technology)

f سرشکی |
school of mining, petroleum amp;amp; geophysics engineering, shahrood university of technology, shahrood, iran
سازمان اصلی تایید شده: دانشگاه صنعتی شاهرود (Shahrood university of technology)

a یاراحمدی بافقی | yarahmadi bafghi
department of mining and metallurgical engineering, yazd university, yazd, iran
سازمان اصلی تایید شده: دانشگاه یزد (Yazd university)


نشانی اینترنتی http://jme.shahroodut.ac.ir/article_465_6ec471cc43cbe9cec597ead076bd9c97.pdf
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