Prediction of rockburst intensity grade in deep underground excavation using adaptive boosting classifier

• المؤلفون الرئيسيون: Ahmad, Mahmood, Katman, HerdaYati, Al-Mansob, Ramez, Ahmad, Feezan, Safdar, Muhammad, Alguno, Arnold C.
• التنسيق: مقال
• اللغة: English; English
• منشور في: Wiley-Hindawi 2022
• الموضوعات: TA Engineering (General). Civil engineering (General); TA401 Materials of engineering and construction
• الوصول للمادة أونلاين: http://irep.iium.edu.my/97808/1/97808_Prediction%20of%20rockburst%20intensity.pdf; http://irep.iium.edu.my/97808/7/97808_Prediction%20of%20rockburst%20intensity%20grade_SCOPUS.pdf; http://irep.iium.edu.my/97808/; https://downloads.hindawi.com/journals/complexity/2022/6156210.pdf; https://doi.org/10.1155/2022/6156210

Rockburst phenomenon is the primary cause of many fatalities and accidents during deep underground projects constructions. As a result, its prediction at the early design stages plays a significant role in improving safety.(e article describes a newly developed model to predict rockburst intensity...