✦ LIBER ✦

Predicting blast-induced ground vibration using various types of neural networks

✍ Scribed by M. Monjezi; M. Ahmadi; M. Sheikhan; A. Bahrami; A.R. Salimi

Publisher: Elsevier Science
Year: 2010
Tongue: English
Weight: 377 KB
Volume: 30
Category: Article
ISSN: 0267-7261
DOI: 10.1016/j.soildyn.2010.05.005

No coin nor oath required. For personal study only.

✦ Synopsis

Prediction of vibration is very important in mining operations as well as civil engineering projects. In this paper, multi layer perceptron neural network (MLPNN), radial basis function neural network (RBFNN) and general regression neural network (GRNN) were utilized to predict ground vibration level in a Sarcheshmeh copper mine, Iran. It was observed that the MLPNN gives the best results. For this technique root mean square error and coefficient of correlation were found 0.03 and 0.954, respectively. Sensitivity analysis showed that distance from the blast, number of holes per delay and maximum charge per delay are the most effective parameters in making ground vibration in the blasting operation.

📜 SIMILAR VOLUMES

Prediction of blast induced ground vibra

Prediction of blast induced ground vibrations and frequency in opencast mine: A neural network approach

✍ Manoj Khandelwal; T.N. Singh 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 250 KB

Evaluation and prediction of blast induc

Evaluation and prediction of blast induced ground vibration using support vector machine

✍ M KHANDELWAL; PK KANKAR; SP HARSHA 📂 Article 📅 2010 🏛 Elsevier 🌐 English ⚖ 496 KB

Underground blast induced ground shock a

Underground blast induced ground shock and its modelling using artificial neural network

✍ Yong Lu 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 519 KB

The ground shock motions induced by underground explosions are of major concerns to designers in mining, construction and defence engineering. The ground shocks are usually measured by the peak particle velocity (PPV), and various empirical formulae exist for the prediction of PPV as a function of t

The importance of site-specific characte

The importance of site-specific characters in prediction models for blast-induced ground vibrations

✍ Cengiz Kuzu 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 556 KB

The aim of this study is to show the effect of geological factors in predicting the level of blast-induced ground vibrations. The sitespecific character of ground must be involved in the prediction models especially if the ground conditions have a variable character like in this case. But in a blast

Prediction of mechanical properties of w

Prediction of mechanical properties of waste polypropylene/waste ground rubber tire powder blends using artificial neural networks

✍ Shu Ling Zhang; Zhen Xiu Zhang; Kaushik Pal; Zhen Xiang Xin; Joshua Suh; Jin Kuk 📂 Article 📅 2010 🏛 Elsevier Science ⚖ 747 KB

Prediction of Axle Loads Induced by Suga

Prediction of Axle Loads Induced by Sugarcane Transport Vehicles using Statistical and Neural-Network Models

✍ C.L. Kanali 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 259 KB

Data were collected for trailers transporting single bundle and loose sugarcane, respectively, to develop models for predicting axle loads induced by sugarcane transport vehicles. Based on a statistical approach, linearregression analysis was performed on the data to relate the axle load with the pa