Comparison and Selection of Index for Macro-indentation Test of Brittle Rock

Zhang, Xiaoping; Yang, Xin-Mei; Xie, Wei-Qiang; Liu, Quansheng; Tang, Shao-hui

doi:10.1007/s00603-023-03373-5

Cited by 3 publications

(1 citation statement)

References 51 publications

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“…Therefore, this article presents multilayer comparisons and two-layer comparison heatmaps, but more experiments and evaluations are still needed to verify the superiority and feasibility of the improved algorithm. Such multilayer comparison can more comprehensively demonstrate the performance of the improved algorithm and provide a more sufficient demonstration and experimental basis for this article (Li F. et al, 2023;Lue et al, 2023;Zhang T. et al, 2023;Zhang X. P. et al, 2023).…”

Section: Comparison Experimentsmentioning

confidence: 99%

The transmission line foreign body detection algorithm based on weighted spatial attention

Wang,

Tian,

Yin

et al. 2024

Front. Neurorobot.

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IntroductionThe secure operation of electric power transmission lines is essential for the economy and society. However, external factors such as plastic film and kites can cause damage to the lines, potentially leading to power outages. Traditional detection methods are inefficient, and the accuracy of automated systems is limited in complex background environments.MethodsThis paper introduces a Weighted Spatial Attention (WSA) network model to address the low accuracy in identifying extraneous materials within electrical transmission infrastructure due to background texture occlusion. Initially, in the model preprocessing stage, color space conversion, image enhancement, and improved Large Selective Kernel Network (LSKNet) technology are utilized to enhance the model's proficiency in detecting foreign objects in intricate surroundings. Subsequently, in the feature extraction stage, the model adopts the dynamic sparse BiLevel Spatial Attention Module (BSAM) structure proposed in this paper to accurately capture and identify the characteristic information of foreign objects in power lines. In the feature pyramid stage, by replacing the feature pyramid network structure and allocating reasonable weights to the Bidirectional Feature Pyramid Network (BiFPN), the feature fusion results are optimized, ensuring that the semantic information of foreign objects in the power line output by the network is effectively identified and processed.ResultsThe experimental outcomes reveal that the test recognition accuracy of the proposed WSA model on the PL (power line) dataset has improved by three percentage points compared to that of the YOLOv8 model, reaching 97.6%. This enhancement demonstrates the WSA model's superior capability in detecting foreign objects on power lines, even in complex environmental backgrounds.DiscussionThe integration of advanced image preprocessing techniques, the dynamic sparse BSAM structure, and the BiFPN has proven effective in improving detection accuracy and has the potential to transform the approach to monitoring and maintaining power transmission infrastructure.

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Section: Comparison Experimentsmentioning

confidence: 99%

The transmission line foreign body detection algorithm based on weighted spatial attention

Wang,

Tian,

Yin

et al. 2024

Front. Neurorobot.

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Study on failure characteristics and evaluation index of aquifer shale based on energy evolution

Qi,

Geng,

Feng

et al. 2024

Acta Geotech.

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The presence of abundant clay components and microporous structure in shale results in its high hydrophilicity, making a water-rich environment inevitable in petroleum exploration projects. Therefore, it is crucial to consider the influence of bedding structure, moisture content, confining pressure, and their combined effects on the geomechanical properties of shale. This article aims to investigate the mechanical properties of deep shale under varying water content conditions, elucidate the failure mode and failure mechanism of shale in actual engineering scenarios, and explores the interplay between stress, structure, moisture content, and other factors on its mechanical properties. The evaluation of wellbore stability and fracture propagation effects is proposed based on laboratory experiments using triaxial stress and strain data, along with the application of energy evolution theory. The experimental procedures encompass an analysis of shale's microscopic components and structure, as well as anisotropic shale triaxial compression tests conducted under different moisture contents and confining pressures. The results demonstrate that shale exhibits dense pores in its microstructure and displays pronounced anisotropic characteristics in its macrostructure. The presence of water within these pores, combined with the in situ stress within the formation, significantly influences the mechanical properties of shale. This anisotropy decreases with increasing moisture content, but the mechanical performance still decreases. Under triaxial compression conditions, the increase in confining pressure to some extent enhances the anisotropy of shale's deformation characteristics, which is related to the failure modes of shale. However, the detrimental effect of moisture content on shale's mechanical properties still persists. In order to quantify the impact of these factors, this study utilizes the elastic modulus as an indicator of the coupling effect. It combines the triaxial strain curve obtained from laboratory tests and proposes an evaluation index for shale mechanical properties based on the energy evolution theory. This index is suitable for assessing wellbore stability (the stability index called SIr) and crack expansion (the brittleness index called BIr). The calculation results reveal that, during the wellbore drilling process, excavating parallel to the direction of shale bedding while maintaining low moisture content and high confining pressure yields a higher SIr value, indicating better wellbore stability. On the other hand, during reservoir fracturing, fracturing perpendicular to the shale bedding direction and maintaining low confining pressure and moisture content result in a smaller BIr value. This approach is more beneficial for the expansion of shale fracture network in engineering.

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Transient rock breaking characteristics by successive impact of shield disc cutters under confining pressure conditions

Zou,

Yin,

Liu

et al. 2024

Tunnelling and Underground Space Technology

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Comparison and Selection of Index for Macro-indentation Test of Brittle Rock

Cited by 3 publications

References 51 publications

The transmission line foreign body detection algorithm based on weighted spatial attention

The transmission line foreign body detection algorithm based on weighted spatial attention

Study on failure characteristics and evaluation index of aquifer shale based on energy evolution

Transient rock breaking characteristics by successive impact of shield disc cutters under confining pressure conditions

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