Modeling of Blast Induced Damage Distance for Underground Tunnels

Maheshwari, Piyush; Murmu, Sunny; Verma, Harsh Kumar

doi:10.1007/978-981-33-6466-0_57

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…Several trials of cohesion and friction drop have been conducted, and the pillar's strength is obtained and calibrated against the Sheorey's pillar empirical strength formula as given in Equation (2) (Mohan et al 2001). Statistical empirical models have been extensively used in ground control issues of rock engineering (Maheshwari et al 2019; Mandal et al 2018; Mohan et al 2001; Murmu et al 2018; Murmu and Budi 2021; Zhang 2010). The pillar strength equation proposed by Sheorey estimates a reasonable strength for coal pillars developed in underground mines having a depth of cover ranging from 30 to 450 m and has been widely utilized for back calculating strain-softening parameters (Das et al 2019; Mandal et al 2018; Mohan et al 2001).…”

Section: Numerical Modelling Schemementioning

confidence: 99%

Analysis of failure associated with longwall face during the main weighting period using a numerical modelling approach

Murmu

Budi²

2022

Mining Technology

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A FLAC 3D based model has been developed to estimate the extent of coal wall spalling for a longwall face having a working depth of 406.5 m during the main weighting period. The results obtained from the model helped in characterizing two key phases of main weighting, namely, peak stress, and main fall period based on vertical stress concentration factor, percentage of yield zones, and extent of yielding ahead of the face. The maximum extent of coal wall spalling of 2 m was observed during the main fall period. Spalling is mainly concentrated near the upper-middle and the top sections of the face.

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Section: Numerical Modelling Schemementioning

confidence: 99%

Analysis of failure associated with longwall face during the main weighting period using a numerical modelling approach

Murmu

Budi²

2022

Mining Technology

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“…The multivariate regression statistical method has been widely used for the assessment of mining engineering problems [32,40,41,[43][44][45][46][47]. Therefore, the multiple linear regression approach was used to develop empirical models for MSD and LFSpI prediction.…”

Section: Multiple Regressionmentioning

confidence: 99%

Study on the Mechanism, Prediction, and Control of Coal Wall Spalling in Deep Longwall Panels Utilizing Advanced Numerical Simulation Methodology

Murmu

Budi

2022

Geofluids

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This research looked at the occurrence of coal wall spalling, a type of longwall face failure, during the main weighing period (MWP) for panels greater than 300 m depth. FLAC3D software was exploited to simulate the ground condition of longwall panel 1 of Adriyala Longwall Project mine. The extent and severity of coal wall spalling were quantified using evaluation criteria based on the concepts of vertical stress distribution and maximum shear strain. Subsequently, a parametric analysis of thirteen factors influencing the coal wall spalling was carried out. Empirical equations for predicting coal wall spalling were suggested. Based on the parametric analysis, a coal wall spalling classification system (CWSC) chart is presented to predict spalling characteristics of coal wall that may occur at the MWP. The empirical models depicted good predictive ability with R 2 values greater than 0.9. Parametric analysis revealed that coal wall spalling is highly sensitive to seam compressive strength, mining-induced stress, extraction height, and immediate roof characteristics. The CWSC system’s applicability to the five panels was in good agreement with field observations.

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“…Due to its low cost for quarrying or open cast mining, drill and blast is the most popular method of fragmenting rocks [1][2][3] . The use of loading, crushing, and transportation machinery is dictated by the overall rock fragment size obtained from blasting.…”

Section: Introductionmentioning

confidence: 99%

Development of a Multiplication Factor for the Kuz-Ram Model to Match the Fragment Size Obtained from Wipfrag Image Analysis

Das,

Dhekne,

Murmu

2023

jmmf

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The degree to which the rock is fragmented by blasting operations significantly impacts the productivity of the opencast mining operation. Over image analysis-based tools, the Kuz-Ram empirical model is preferred for determining the mean fragment size of a blasted muck pile. The fragmentation analysis results by the Kuz-Ram model are said to report the overestimation of the size of the fragments. On the other hand, while accurate, measuring the mean fragment size by image-based analysis is also time-consuming and expensive. Therefore, in the present research, the fragmentation difference index (Fdi) is introduced as a new multiplication factor to reduce the discrepancy in the results obtained using the Kuz-Ram model and the image-based analysis. The error minimization method of least squares is used to formulate the objective function of Fdi. The proposed equation is tested using data sets that weren't used in the model's development. Statistical indicators viz. the coefficient of determination (R2 ) and Root Mean Square Error (RMSE) have been used to evaluate the model's performance. These are found to be 0.80 and 0.007, respectively. The values obtained by multiplying Fdi by the Kuz-Ram results match those of the Wipfrag study, with an average error of 2.09%. Therefore, the suggested methodology will assist the field engineers in cost-effectively calculating the mean fragment size before blasting utilizing only the findings from the Fdi and Kuz-Ram models.

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Modeling of Blast Induced Damage Distance for Underground Tunnels

Cited by 4 publications

References 7 publications

Analysis of failure associated with longwall face during the main weighting period using a numerical modelling approach

Analysis of failure associated with longwall face during the main weighting period using a numerical modelling approach

Study on the Mechanism, Prediction, and Control of Coal Wall Spalling in Deep Longwall Panels Utilizing Advanced Numerical Simulation Methodology

Development of a Multiplication Factor for the Kuz-Ram Model to Match the Fragment Size Obtained from Wipfrag Image Analysis

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