Qiangqiang Gao
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View article: Extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocks
Extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocks Open
The infrared radiation temperature (IRT) variation concerning stress and crack evolution of rocks is a critical focus in rock mechanics domain and engineering disaster warning. In this paper, a methodology to extract the key IRT features r…
View article: Experimental Investigation on Hydrophobic Alteration of Mining Solid Waste Backfill Material
Experimental Investigation on Hydrophobic Alteration of Mining Solid Waste Backfill Material Open
To address the issues of corrosion weakening of solid-waste-based backfill material caused by mine water, a novel hydrophobic solid waste backfill (HSBF) material was developed using polydimethylsiloxane (PDMS) and a silane coupling agent …
View article: Assessing the Performance of CO2-Mineralized Underground Backfilling Materials through the Variation Characteristics of Infrared Radiation Temperature Index
Assessing the Performance of CO2-Mineralized Underground Backfilling Materials through the Variation Characteristics of Infrared Radiation Temperature Index Open
The utilization of CO2 mineralization fly ash (F) and coal gangue (G) technology is proposed in this research work to prepare underground backfilling materials. The test process can be divided into pre-treatment and post-treatment stages. …
View article: Method for rock fracture prediction and early warning: Insight from fusion of multi-physics field information
Method for rock fracture prediction and early warning: Insight from fusion of multi-physics field information Open
View article: Predicting Sandstone Brittleness under Varying Water Conditions Using Infrared Radiation and Computational Techniques
Predicting Sandstone Brittleness under Varying Water Conditions Using Infrared Radiation and Computational Techniques Open
The brittleness index is one of the most integral parameters used in assessing rock bursts and catastrophic rock failures resulting from deep underground mining activities. Accurately predicting this parameter is crucial for effectively mo…
View article: Prediction of Coal Dilatancy Point Using Acoustic Emission Characteristics: Insight Experimental and Artificial Intelligence Approaches
Prediction of Coal Dilatancy Point Using Acoustic Emission Characteristics: Insight Experimental and Artificial Intelligence Approaches Open
This research offers a combination of experimental and artificial approaches to estimate the dilatancy point under different coal conditions and develop an early warning system. The effect of water content on dilatancy point was investigat…
View article: The Infrared Radiation Characteristics of Sandstone Fracture Seepage under Coupled Stress-Hydro Effect
The Infrared Radiation Characteristics of Sandstone Fracture Seepage under Coupled Stress-Hydro Effect Open
Effective monitoring of rock fracture and seepage is an important information means to ensure the safety of geotechnical engineering. Therefore, sandstone samples were subject to uniaxial compression under different hydraulic conditions in…
View article: An Appropriate Model for the Prediction of Rock Mass Deformation Modulus among Various Artificial Intelligence Models
An Appropriate Model for the Prediction of Rock Mass Deformation Modulus among Various Artificial Intelligence Models Open
The rock mass deformation modulus (Em) is an essential input parameter in numerical modeling for assessing the rock mass behavior required for the sustainable design of engineering structures. The in situ methods for determining this param…