Results 21 to 30 of about 6,541 (225)
Applied Sciences, 2022 In the case of mining in an inclined intrusion using the block caving method, the highest stress is usually concentrated in the seismogenic and abutment zones, especially in the front of the sloping area.
Wahyu Hidayat +9 more
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Deep convolutional neural network for microseismic signal detection and classification [PDF]
, 2020 Reliable automatic microseismic waveform detection with high efficiency, precision, and adaptability is the basis of stability analysis of the surrounding rock mass. In this paper, a convolutional neural network (CNN)-based microseismic detection network
Pazzi V. +4 more
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Advances in Civil Engineering, 2018 Based on the existing Canadian ESG microseismic monitoring system, a mobile microseismic monitoring system for a soft rock tunnel has been successfully constructed through continuous exploration and improvement to study the large-scale nucleation and ...
Feng Chen +5 more
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Microseismic energy evolution of high rock slop during excavation and after reinforcement [PDF]
, 2016 Rock mass is known to exchange energy with the external environment when it is under load until it fails, a destabilization phenomenon driven by energy.
唐春安 +4 more
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Frontiers in Earth Science, 2023 Biaxial compression is a typical stress state experienced by the surrounding rock near the excavation boundaries under deep underground engineering, frequently resulting in engineering geological disasters (spalling and rockburst).
Yongsong Lu +3 more
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Stability analysis of underground oil storage caverns by an integrated numerical and microseismic monitoring approach [PDF]
, 2016 Underground storage in unlined caverns is of great significance for storing energy resources. Construction of underground storage caverns is an extremely complex process, involving extensive multi-bench excavation and strong unloading. Excavation-induced
Tang DH +7 more
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A method to estimate the microseismic magnitude based on vector scanning
地震科学进展, 2023 The magnitude of a seismic event can be estimated by measuring seismic energy, seismic moment, and relationship between the energy and seismic magnitude (M)，etc.
Yanjun Feng, Beiyuan Liang
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Introduction to this special section: Microseismic [PDF]
, 2017 This month in The Leading Edge, we present a selection of papers on microseismic technology that captures recent trends in microseismic data processing, acquisition, and interpretation.
Julie Shemeta, James Rutledge
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Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters [PDF]
, 2021 Microseismic monitoring system is one of the effective means to monitor ground stress in deep mines. The accuracy and speed of microseismic signal identification directly affect the stability analysis in rock engineering.
Longjun Dong +3 more
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Automatic Waveform Classification and Arrival Picking Based on Convolutional Neural Network
Earth and Space Science, 2019 Automatic waveform classification and arrival picking methods are widely studied to reduce or replace the manual works. Machine learning based methods, especially neural networks, and clustering based methods have shown great potentials in previous ...
Yangkang Chen +5 more
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