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Wyświetlanie 1-3 z 3
Tytuł:
Analysis of explosion stress field of air radial decoupling charge
Autorzy:
Yang, Deqiang
Lei, Zhen
An, Huaming
Powiązania:
https://bibliotekanauki.pl/articles/1402294.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Wydział Geoinżynierii, Górnictwa i Geologii. Instytut Górnictwa
Tematy:
air radial decoupling charge
explosion stress field
concrete model
numerical simulation
Opis:
In order to study the effect of air radial decoupling charge on blasting excavation effect of slope, the effect of radial decoupling coefficient on explosive stress field in rock mass is analyzed theoretically. ANSYS/LS-DYNA software is used to establish a numerical model for stress monitoring of monitoring points. At the same time, the concrete model is poured, the explosion stress field around the blast hole is measured by means of the high-speed multi-channel dynamic stress testing system, and the monitoring results of the two methods are compared with the theoretical analysis results. The results show that with the increase of the radial decoupling coefficient of blasting, the peak value of explosive stress at the same side point decreases obviously, and with the increase of the distance, the stress attenuation becomes slower. Applying the test results to the blasting of slope, it is found that the blasting effect is the best when the aperture decoupling coefficient is 2.75 and the hole spacing is 1.0 m, and the larger the hole spacing is, the less obvious the blasting crack is, which has certain guiding significance for improving the blasting effect.
Źródło:
Mining Science; 2020, 27; 19-38
2300-9586
2353-5423
Pojawia się w:
Mining Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Experimental study on radial decoupling charge blasting with air and water
Autorzy:
Yang, Deqiang
An, Huaming
Lei, Zhen
Powiązania:
https://bibliotekanauki.pl/articles/1402332.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Wydział Geoinżynierii, Górnictwa i Geologii. Instytut Górnictwa
Tematy:
radial decoupling charge
concrete model
strain
blasting lumpiness
boulder yield
Opis:
In order to investigate the effects of the different medium on the initial impact pressure and fragmentation of the hole wall under radial decoupling charge, this paper analyzes and compares the initial impact pressure of hole wall and the size of blasting lumpiness theoretically when air and water are used as a coupling medium. Combined with blasting model test, strain datas are collected by high-speed multi-channel dynamic stress testing system, and the lumpiness of the model test is sieved and measured. The blasting lumpiness is analyzed by G–G–S distribution function. The results show that compared with the air radial decoupling charge, the water radial decoupling charge has higher blasting peak pressure and more uniform lumpiness. According to the relation between peak strain pressure and decoupling coefficient, the optimal decoupling coefficients of air and water are 1.71 and 1.67, respectively. The results show that the best blasting effect can be achieved by using a small hole diameter of water-decoupling charge compared with air-decoupling charge. When the decoupling coefficient is 1.50, the average lumpiness size, distribution of large block and boulder yield of blasting lumpiness in water-decoupling medium are minimum, and only the average lumpiness size and distribution of large block are minimum in airdecoupling medium. Applying the test results to the smooth blasting of cutting has certain guiding significance for improving the blasting effect.
Źródło:
Mining Science; 2020, 27; 265-281
2300-9586
2353-5423
Pojawia się w:
Mining Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
RFID tag group recognition based on motion blur estimation and YOLOv2 improved by Gaussian algorithm
Autorzy:
Li, Lin
Yu, Xiao-Lei
Liu, Zhen-Lu
Zhao, Zhi-Min
Zhang, Ke
Zhou, Shan-Hao
Powiązania:
https://bibliotekanauki.pl/articles/2051852.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
RFID
YOLOv2
neural network
GRNN
Opis:
Effective recognition of tags in the dynamic measurement system would significantly improve the reading performance of the tag group, but the blurred outline and appearance of tag images captured in motion seriously limit the effectiveness of the existing tag group recognition. Thus, this paper proposes passive tag group recognition in the dynamic environment based on motion blur estimation and improved YOLOv2. Firstly, blur angles are estimated with a Gabor filter, and blur lengths are estimated through nonlinear modelling of a Generalized Regression Neural Network (GRNN). Secondly, tag recognition based on YOLOv2 improved by a Gaussian algorithm is proposed. The features of the tag group are analyzed by the Gaussian algorithm, the region of interest of the dynamic tag is effectively framed, and the tag foreground is extracted; Secondly, the data set of tag groups are trained by the end-to-end YOLOv2 algorithm for secondary screening and recognition, and finally the specific locations of tags are framed to meet the effective identification of tag groups in different scenes. A considerable number of experiments illustrate that the fusion algorithm can significantly improve recognition accuracy. Combined with the reading distance, the research presented in this paper can more accurately optimize the three-dimensional structure of the tag group, improve the reading performance of the tag group, and avoid the interference and collision of tags in the communication channel. Compared with the previous template matching algorithm, the tag group recognition ability put forward in this paper is improved by at least 13.9%, and its reading performance is improved by at least 6.2% as shown in many experiments.
Źródło:
Metrology and Measurement Systems; 2022, 29, 1; 53-74
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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