Prediction model of fractal dimensions of rock roadway formation by blasting based on Weibull distribution

Yang, Renshu; Xiao, Chenglong; Ding, Chuanxian; Xu, Peng; Zhao, Yong; Shi, Guoli

doi:10.1007/s12517-021-09118-4

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…Damage to fractured rock is a relatively complex damage evolution process influenced by a combination of microscopic cracking and macroscopic fracturing. The Weibull statistical damage model for microscopic defects has been widely used to study the mechanical properties of rock masses [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Mechanical properties and constitutive model of fractured red sandstone under acid corrosion

Liu

Wang³

2023

SN Appl. Sci.

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Red sandstone was selected for the study and specimens were prepared at 0°, 30°, 45° and 60° fracture inclinations and maintained in an acid solution at pH = 2. The specimens were subjected to uniaxial compression tests before and after maintenance to obtain the mechanical parameters and to observe the damage properties of the specimens. Based on the Lemaitre strain equivalence principle, a macroscopic fracture model for single-fissure rock masses and a statistical damage model for the Weibull distribution of micro-fissures were combined to derive macro-and micro-coupled damage variables for the specimens. The damage variables after acid solution corrosion are considered to derive the constitutive model for fractured red sandstone containing fractures after acid corrosion. The theoretical damage constitutive curves were compared with the experimental curves to analyse the applicability of the constitutive equation. The results show that the peak stress, peak strain and elastic modulus of the fractured specimens all vary regularly with the inclination angle, first decreasing and then increasing with the increase in the inclination angle; the peak compressive strength and elastic modulus of the fractured sandstone all tend to decrease and the peak strain tends to increase after corrosion by acid solution; the damage characteristics of the fractured sandstone are more influenced by the inclination angle and less influenced by acid corrosion; by comparing the theoretical curve with the experimental curve, the established damage constitutive model is in good agreement at the elastic deformation and plastic yielding stages. The mechanical properties of rock masses with different inclinations of fracture are quantified on the basis of the test results. The damage characteristics of rock masses with different fracture inclinations under normal and acid corrosion conditions are studied. The macro- and micro-coupled damage variables of fractured rock masses under acid corrosion are derived and validated.

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Section: Introductionmentioning

confidence: 99%

Mechanical properties and constitutive model of fractured red sandstone under acid corrosion

Liu

Wang³

2023

SN Appl. Sci.

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“…Preprocessing is a variety of image processing technologies. After preprocessing, the image quality has been greatly improved, which can solve the so-called digestion phenomenon [9,10]. Feature extraction can be understood as the extraction of digital values and basic elements of image features.…”

Section: Introductionmentioning

confidence: 99%

Prediction and Analysis Method of Mine Blasting Quality Based on GA-BP Neural Network

Ren

2022

Mobile Information Systems

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Selecting reasonable blasting parameters of ore and rock is an important measure to achieve good blasting effect. In the mining process, rock fragmentation is an important index to evaluate the blasting effect, which directly affects the technical scheme, equipment selection, economic effect, and other issues of the mine and even seriously threatens the sustainable safety production of the mine. With the rapid development of information technology, the development of computer intelligent image recognition technology is becoming more and more perfect, and its role is becoming more and more important. Based on the neural network method, this paper studies the computer intelligent image recognition technology. In this paper, the GA-BP network image recognition model is established by combining genetic algorithm with BP algorithm and analyzing the principles of intelligent image recognition, image pattern recognition, and BP neural network learning algorithm. On the basis of experimental analysis, the average accuracy of prediction can reach 67.4%. For the efficiency analysis of computer mathematical analysis, it will generally reach 64.3%. In this paper, taking the lump rate and blasting cost as the optimization objective function, the comparison and selection of multiple schemes of production blasting design are carried out, which provides quantitative decision-making basis for the rational selection of production blasting design parameters.

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Simulation study of the rupture mechanism of through-cracking under freeze–thaw load coupling effect

Xu,

Wang,

et al. 2024

Nat Hazards

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Prediction model of fractal dimensions of rock roadway formation by blasting based on Weibull distribution

Cited by 5 publications

References 17 publications

Mechanical properties and constitutive model of fractured red sandstone under acid corrosion

Mechanical properties and constitutive model of fractured red sandstone under acid corrosion

Prediction and Analysis Method of Mine Blasting Quality Based on GA-BP Neural Network

Simulation study of the rupture mechanism of through-cracking under freeze–thaw load coupling effect

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