Abstract:This paper presents the virtual instrument for measurement and determination of uniaxial compression strength and rock sample deformability. It analyzes properties and limitations of several implemented virtual instruments. Furthermore, comparison of implemented virtual instrument properties is presented.
“…Despite being robust, it measures with an accuracy of 2% and a precision of 0.2% over the entire measurement field, which is ±2.54 mm. The entire testing process, from load application to conditioning and acquisition of stress and strain data, was carried out by implementing the virtual instrument described in paper [52] to determine the uniaxial compressive strength and deformability of rock specimens.…”
Section: Methods For Determining Young's Modulus and Other Propertiesmentioning
The determination and estimation of elastic behaviour are essential in engineering practise, especially in quarrying, mining, construction, and all engineering professions that perform operations dealing with rock materials. Young’s modulus, or modulus of elasticity, is the most important property describing the deformability of rock material. In this paper, grain-supported carbonates from Croatia are described and their elastic modulus and significant physical and mechanical properties are determined. The analysis of the collected data was performed in the R statistical environment. Estimation models based on multiple linear regression and the regression tree model were created. The methodology of model development and evaluation in R environment is described in detail. According to the more stringent coefficients (RMSECV and adjusted R2) used to evaluate the success of the estimation, simple regression tree models were found to perform well for the preliminary estimation, while more complex models based on Bagging performed very well.
“…Despite being robust, it measures with an accuracy of 2% and a precision of 0.2% over the entire measurement field, which is ±2.54 mm. The entire testing process, from load application to conditioning and acquisition of stress and strain data, was carried out by implementing the virtual instrument described in paper [52] to determine the uniaxial compressive strength and deformability of rock specimens.…”
Section: Methods For Determining Young's Modulus and Other Propertiesmentioning
The determination and estimation of elastic behaviour are essential in engineering practise, especially in quarrying, mining, construction, and all engineering professions that perform operations dealing with rock materials. Young’s modulus, or modulus of elasticity, is the most important property describing the deformability of rock material. In this paper, grain-supported carbonates from Croatia are described and their elastic modulus and significant physical and mechanical properties are determined. The analysis of the collected data was performed in the R statistical environment. Estimation models based on multiple linear regression and the regression tree model were created. The methodology of model development and evaluation in R environment is described in detail. According to the more stringent coefficients (RMSECV and adjusted R2) used to evaluate the success of the estimation, simple regression tree models were found to perform well for the preliminary estimation, while more complex models based on Bagging performed very well.
“…This paper presents a seismic reflection wave imaging system design scheme based on virtual instrumentation technology [3]. The study aims to improve the filtering effect of seismic sub-waves transmitted in the reflection system through the use of the 2D FK filtering method [4], and to design and develop the hardware and software of the system in a modular way [5].…”
This paper presents a seismic reflection wave imaging system that uses virtual instrumentation technology to process seismic wave data. The system employs a modular approach to image reflection waves in a medium velocity hierarchy. The study investigates the time and frequency domain characteristics of seismic sub-waves transmitted in the reflection system and establishes and simulates the propagation model of seismic reflection waves in horizontally stratified media. Algorithms are proposed for implementing the overall system, including amplitude compensation, digital filtering, velocity analysis, and offset imaging. The effectiveness of 2D FK filtering in the filtering process is tested, which confirms its ability to filter out velocity domain interference waves. The hardware and software development solutions for the overall system are developed based on the architecture of virtual instrumentation technology. Seismic reflection wave imaging experiments are conducted in several scenarios, and the experimental results meet the application requirements. The experiments demonstrate that the system can accurately image the velocity of subsurface media using seismic reflection waves and virtual instrumentation hardware and software systems.
“…During the research they checked the surface topography and the edge forms in various laser cut surfaces. Kuhinek et al [15,16] researched the various material parameters on the cut rock samples. In their paper they described instrumental measurement uncertainties and their influence on the result obtained from determination of rock sample uniaxial compressive strength and deformability.…”
The research described in this article was carried out for the purpose of developing a quantitative marker for defining the average edge chipping rate of milled granite surfaces and for testing and proving whether this quantitative marker can effectively be applied. Another aim of the research was to test the applicability of the developed measurement method and the precision of the body representing the volume loss caused by chipping. The surface edges of the milled specimens were digitised using a laser scanner and chipped volumes were defined on the basis of a body generated with the help of a point cloud, and then the errors of the volumes produced by the evaluation-purpose software were examined using a digital microscope. The investigations proved that the proposed measurement method is accurate and that the replacement body defined through measurements appropriately approximates the volume of chippings in the case of milled granite surfaces.
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