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Wyświetlanie 1-2 z 2
Tytuł:
Exploring the Relation between Seismic Coefficient and Rock Properties Through Field Measurements and Empirical Model for Evaluating the Effect of Blast-Induced Ground Vibration in OpenPit Mines: A Case Study at the Thuong Tan III Quarry (Vietnam)
Autorzy:
Tran, Quang Hieu
Powiązania:
https://bibliotekanauki.pl/articles/2020263.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
ground vibration
seismic coefficient
Thuong Tan III quarry
simulation
Vietnam
wstrząsy
sejsmika
Wietnam
Opis:
t Blasting is one of the most effective methods for fragmenting rock in quarries. Nevertheless, its adverse effects are significant, especially blast-induced ground vibration. Field measurement and empirical equations are simple methods to determine and estimate the intensity of blast-induced ground vibration. However, we cannot evaluate the effects of blast-induced ground vibration on the surrounding environment based on these outcomes. Therefore, this study explores the relation between seismic coefficient and rock properties through field measurements and an empirical model for evaluating the effect of blast-induced ground vibration in open-pit mines. Accordingly, the seismic coefficient (K) is considered the main objective in this study. Firstly, it was determined based on the rock properties. Subsequently, an empirical model for estimating blast-induced ground vibration was developed based on field measurements. This empirical equation was then expanded to determine K to check whether it matches the determined K by the rock properties. Finally, it was used as the threshold to determine the maximum explosive charged per delay to ensure the safety of the surrounding environment from blastinduced ground vibration. For this aim, the Thuong Tan III quarry (in Binh Duong province, Vietnam) was selected as a case study. Fifth-teen blasting events with a total of 75 blast-induced ground vibration values were recorded and collected. An empirical equation for estimating blast-induced ground vibration was then developed based on the collected dataset, and K was determined in the range of 539 to 713 for the Thuong Tan III quarry. Based on the measured blast-induced ground vibrations, developed empirical model, and K values, the Phase 2 software was applied to simulate the effects of blast-induced ground vibration on the stability of slopes as one of the impacts on the surrounding environment. From the simulation results, we can determine the maximum explosive charged per delay for each type of rock to ensure the stability of the slope.
Źródło:
Inżynieria Mineralna; 2021, 2; 567--577
1640-4920
Pojawia się w:
Inżynieria Mineralna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Developing an Advanced Soft Computational Model for Estimating Blast-Induced Ground Vibration in Nui Beo Open-pit Coal Mine (Vietnam) Using Artificial Neural Network
Opracowanie zaawansowanego modelu obliczeniowego do szacowania wibracji gruntu wywołanych wybuchem w odkrywkowej kopalni węgla Nui Beo (Wietnam) przy użyciu sztucznej sieci neuronowej
Autorzy:
Nguyen, Hoang
Bui, Xuan‑Nam
Tran, Quang Hieu
Nguyen, Quoc Long
Vu, Dinh Hieu
Pham, Van Hoa
Le, Qui Thao
Nguyen, Phu Vu
Powiązania:
https://bibliotekanauki.pl/articles/317864.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
Wietnam
górnictwo odkrywkowe
sieci neuronowe
Vietnam
open pit mining
artificial neural network
Opis:
The principal object of this study is blast-induced ground vibration (PPV), which is one of the dangerous side effects of blasting operations in an open-pit mine. In this study, nine artificial neural networks (ANN) models were developed to predict blast-induced PPV in Nui Beo open-pit coal mine, Vietnam. Multiple linear regression and the United States Bureau of Mines (USBM) empirical techniques are also conducted to compare with nine developed ANN models. 136 blasting operations were recorded in many years used for this study with 85% of the whole datasets (116 blasting events) was used for training and the rest 15% of the datasets (20 blasting events) for testing. Root Mean Square Error (RMSE), Determination Coefficient (R2), and Mean Absolute Error (MAE) are used to compare and evaluate the performance of the models. The results revealed that ANN technique is more superior to other techniques for estimating blast-induced PPV. Of the nine developed ANN models, the ANN 7-10-8-5-1 model with three hidden layers (ten neurons in the first hidden layer, eight neurons in the second layers, and five neurons in the third hidden layer) provides the most outstanding performance with an RMSE of 1.061, R2 of 0.980, and MAE of 0.717 on testing datasets. Based on the obtained results, ANN technique should be applied in preliminary engineering for estimating blast-induced PPV in open-pit mine.
Źródło:
Inżynieria Mineralna; 2019, 21, 2/2; 58-73
1640-4920
Pojawia się w:
Inżynieria Mineralna
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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