Xi'an University of Science and Technology

About: Xi'an University of Science and Technology is a education organization based out in Xi'an, China. It is known for research contribution in the topics: Coal & Coal mining. The organization has 10023 authors who have published 7317 publications receiving 51897 citations.

Computational Intelligence Model for Estimating Intensity of Blast-Induced Ground Vibration in a Mine Based on Imperialist Competitive and Extreme Gradient Boosting Algorithms

Abstract: In this paper, we developed a novel hybrid model ICA–XGBoost for estimating blast-produced ground vibration in a mine based on extreme gradient boosting (XGBoost) and imperialist competitive algorithm (ICA). For comparison, we used another hybrid model combining particle swarm optimization and XGBoost [i.e., particle swarm optimization (PSO)–XGBoost] as well as other models, namely classical XGBoost, artificial neural network (ANN), gradient boosting machine (GBM), and support vector regression (SVR). We compared these techniques using 136 blasting events data gathered at an open-pit coal mine in Vietnam. The models’ performance evaluation criteria were the determination coefficient (R2), root-mean-square error, mean absolute error, ranking, and color intensity. Based on the results, our ICA–XGBoost model is the most robust in predicting blast-produced ground vibration. The PSO–XGBoost model provided a slightly poorer performance. The classical XGBoost model showed a lower performance than the hybrid models (i.e., ICA–XGBoost and PSO–XGBoost). The SVR and ANN models gave average performances, whereas the GBM model yielded the worst performance. The results also reveal that the maximum explosive charge capacity, the elevation between blast sites and monitoring points, and the monitoring distance are the most critical variables that should be used in predicting the intensity of blast-induced ground vibration in a mine.

Nailing down the slip rate of the Altyn Tagh fault

Abstract: Previous estimates of the geodetic and geologic slip rates of the 1500 km long Altyn Tagh fault bordering the northern edge of the Tibetan plateau vary by a factor of five. Proposed reasons for these discrepancies include poor GPS geometry, interpretative errors in terrace morphology, and changes in fault slip rate over time. Here we present results from a new dense GPS array orthogonal to the fault at ~86.2°E that indicates a velocity of 9.0−3.2/+4.4 mm/yr, in close agreement with geomorphologic estimates at the same location. Our estimated geodetic slip rate is consistent with recent geological slip rates based on terrace offsets. The resulting mean combined geological and geodetic slip rate (9.0 ± 4.0 mm/yr) is remarkably uniform for the central ~800 km of the Altyn Tagh fault, significantly lower than early kinematic estimates and consistent with deformation elsewhere in Tibet and central Asia.