Inverse Analysis of Rock Mass Dynamic Parameters from Blasting Vibration Signals
Journal Title: Acadlore Transactions on Geosciences - Year 2023, Vol 2, Issue 4
Abstract
The precision of determining rock mass mechanical parameters is notably impacted by mining blast activities. An advanced method for inverse analysis of these parameters, predicated upon measured blasting vibrations, has been developed. This approach employs a meticulous recognition of initial P-wave and S-wave arrivals within the vibrational energy spectrum. Utilizing principles from elastic wave theory, a novel framework has been established, correlating P-wave and S-wave velocities with dynamic characteristics of rock masses. The efficacy of this method has been substantiated through practical implementation, particularly in the Guanbaoshan Open-pit Iron Mine, Liaoning Province. Here, the derived density ratios were observed to range between 0.98 and 1.01, aligning closely with figures provided by authoritative research institutes. Additionally, the dynamic-to-static Poisson's ratio exhibited variations from 0.85 to 1.03, while the modulus of elasticity ratio dynamically to statically spanned from 2.0 to 2.6. These results, falling within anticipated theoretical ranges, underscore the robust applicability and accuracy of this method. The research contributes significantly to the domain of mining operations, particularly in optimizing blasting processes and enhancing the precision of mechanical parameter acquisition. It presents a pioneering approach, essential for addressing similar challenges in the mining sector.
Authors and Affiliations
Yiran Yan, Aobo Liu, Junpeng Gai, Zhenyang Xu
Keywords
Related Articles
- EP ID EP732848
- DOI 10.56578/atg020404
- Views 64
- Downloads 0
Seismic Capacity Using Finite Element Analysis: A Case Study of Murum Powerhouse
Malaysia has become more aware of potential seismic hazards after one of the most devastating earthquakes in 2015. It is necessary to make seismic analysis of areas with active fault lines and access the current structur...
LoRaWAN and IoT-Based Landslide Early Warning System
According to data from the National Disaster Management Agency (BNPB), 629 landslides occurred in 2022, resulting in 318 fatalities, 459 displaced individuals, and extensive damage to 892 buildings and public facilities....
Exploring the Potential and Challenges of Electrochemical Processes for Sustainable Waste Water Remediation and Treatment
Emerging as an efficient, cost-effective, and environmentally sound approach, electrochemical treatment methods hold significant promise for sustainable remediation and wastewater treatment. This review elucidates recent...
Stability Analysis of Gentle Dip Thick Ore Body Mining Based on the Integration of SURPAC-FLAC3D
Issues of large exposed roof area, poor stability, and significant roof support workload are prevalent in the mining of metal ores with gently inclined thick bodies. In response to these challenges, a downward cemented f...
Effects of Spacing-to-Burden Ratio and Joint Angle on Rock Fragmentation: An Unmanned Aerial Vehicle and AI Approach in Overburden Benches
In quarrying and mining operations, the results of the blasting process profoundly influence subsequent processes. Two primary categories dictate blast outcomes: controllable and non-controllable factors. For optimal fra...