Detection methods for strength deterioration and structural characteristics of fractured rock based on digital drilling

Gao, Hongke; Jiang, Bei; Ma, Fenglin; Wang, Qi; Cai, Songlin; Zhai, Dahu; Wu, Wenrui

doi:10.1016/j.measurement.2024.114779

Cited by 1 publication

(3 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To quantitatively analyze the degradation pattern of the mechanical properties of the rock-like specimens with different fissure angles α under various loading rates, let us define the degradation index of uniaxial compressive strength as Q (1) and Q (2) . These indices will be used to quantitatively compare the degradation levels of uniaxial compressive strength for specimens with different α angles under the same loading rate and for specimens with the same α angle under different loading rates.…”

Section: Deterioration Analysis Of Class Rock Specimensmentioning

confidence: 99%

“…These indices will be used to quantitatively compare the degradation levels of uniaxial compressive strength for specimens with different α angles under the same loading rate and for specimens with the same α angle under different loading rates. Taking v = 3.0 mm/min and α = 45 • as an example, the expressions for Q (1) and Q (2) are Equations ( 1) and (2), respectively [19]:…”

Section: Deterioration Analysis Of Class Rock Specimensmentioning

confidence: 99%

“…As the emphasis on engineering safety continues to increase, there is growing attention on the safety and stability of engineering rock masses [1]. However, in nature, rock formations commonly exhibit micro-or macroscopic fissures, which can lead to a reduction in the load-bearing capacity of rock masses [2]. The destruction of engineering rock masses is influenced by the presence of pre-existing fissures [3]; under the combined effects of natural stresses and external loads from engineering construction, original fissures and newly formed fissures gradually develop and propagate, eventually evolving into macroscopic damage, thereby resulting in instability and failure of the rock mass [4].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analysis of the Effect of Loading Rate on Mechanical Properties of Fissured Rock Materials and Acoustic Emission Characteristic Parameters

Liu,

Wang,

et al. 2024

Buildings

View full text Add to dashboard Cite

In nature, rock masses often exhibit fissures, and varying external forces lead to different rates of loading on fissured rock masses. By studying the influence of the loading rate on the mechanical properties of fractured rock mass and AE characteristic parameters, it can provide a theoretical basis for the safety and stability prediction of engineering rock mass. To investigate the influence of loading rates on fissured rock masses, this study utilizes surrogate rock specimens resembling actual rock bodies and prefabricates two fissures. By conducting uniaxial compression acoustic emission tests at different loading rates, the study explores changes in their mechanical properties and acoustic emission characteristic parameters. Research findings indicate the following: (1) Prefabricated fissures adversely affect the stability of specimens, resulting in lower strength compared to intact specimens. Under the same fissure inclination angle, peak strength, elastic modulus, and loading rate exhibit a positive correlation. When the fissure inclination angle varies from 0° to 60° under the same loading rate, the peak strength of specimens generally follows a “V”-shaped trend, decreasing initially and then increasing, with the minimum peak strength observed at α = 30°. (2) Prefabricated fissure specimens primarily develop tensile cracks during loading, gradually transitioning to shear cracks, ultimately leading to shear failure. (3) The variation patterns of AE (acoustic emission) characteristic parameters under the influence of loading rate differ: AE event count, AE energy, and cumulative AE energy show a positive correlation with loading rate, while cumulative AE event count gradually decreases with increasing loading rate. (4) AE characteristic parameters exhibit good correlation with the stress–strain curve and can be divided into four stages. The changes in AE characteristic parameters correspond to the changes in the stress–strain curve. With increasing loading rate, AE signals in the first three stages gradually stabilize, focusing more on the fourth stage, namely the post-peak stage, where the specimens typically experience maximum AE signals accompanying final failure.

show abstract

Section: Deterioration Analysis Of Class Rock Specimensmentioning

confidence: 99%