Abstract

This paper describes the development of statistical models for assessing the boulder count resulting from the limestone quarry blasting. A database of three hundred blasts was created for the development of the model. The database consists of number of holes per row, number of rows, average spacing, average burden, average depth, average stemming, explosive type, total charge fired in one round and the boulder count. All the variables in the database are ratio type except the type of the explosive, which is a nominal variable. Hence two distinct statistical models have been developed for the ANFO and the SME blasts. The models have been developed in SPSS 20.0. The Student’st-Tests and Fisher’s Exact Tests have been carried out on the models to identify the significant variables. It is further found that the prediction capability of the statistical models is strong, and it provides an easy option to the field engineers to assess the blast design for the boulder-count. The developed statistical models are suitable for practical use at the limestone quarries having similar geotechnical setup.

中文翻译：

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石灰岩采石场爆破中的突石数预测：统计建模方法

摘要

本文介绍了用于评估石灰石采石场爆破产生的巨石数量的统计模型的开发。为该模型的开发创建了一个包含三百次爆炸的数据库。该数据库由每排孔数，排数，平均间距，平均负荷，平均深度，平均堵塞，炸药类型，一轮发射的总装药量和巨石数组成。数据库中的所有变量都是比率类型，除了爆炸物的类型（标称变量）之外。因此，已经为ANFO和SME爆炸开发了两种不同的统计模型。这些模型已在SPSS 20.0中开发。学生的牛逼-已经对模型进行了检验和费舍尔精确检验，以识别出显着变量。进一步发现，统计模型的预测能力很强，它为现场工程师提供了一个简单的选择，以评估巨石数量的爆破设计。所开发的统计模型适合具有类似岩土工程设置的石灰石采石场的实际应用。