AUTHOR=Jianbo Ma , Zhongqi Wang , En Yang , Menghua Liu 

TITLE=Research on evaluation model of rock failure integrity under complex geological conditions in karst area

JOURNAL=Frontiers in Earth Science

VOLUME=11

YEAR=2023

URL=https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2023.1177459

DOI=10.3389/feart.2023.1177459

ISSN=2296-6463

ABSTRACT=<p>Blasting lumpiness prediction is one of the most important research contents in engineering blasting. Although the traditional KUZ-RAM model is widely used, it often overestimates the size of blasting. Therefore, the KUZ-RAM model was updated or corrected in this paper by simplifying the difficult problem of statistical burst fragmentation in LS-DYNA. Based on the theory of area measurement method, the fitting mechanism of machine learning is used to study the lumpiness of simulation results. The updated KUZ-RAM model adds a coefficient of 0.623 to the original equation of average lumpiness <italic>x<sub>m</sub></italic>. The linear coefficient R<sup>2</sup> between the predicted results and the field blasting results increases from −1.99 to 0.97, which significantly improves the prediction of blasting lumpiness.</p>