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Record W4405598934 · doi:10.1142/s0219876224500890

Numerical Investigation into the Stress Evolution and Failure Mechanism of Deep-Buried Hard Rock Under Blasting Loads

2024· article· en· W4405598934 on OpenAlexaff
Chong Shi, Xiao Chen, Yun Jia, Junxiong Yang, T. Kanit, Cong Zhang

Bibliographic record

VenueInternational Journal of Computational Methods · 2024
Typearticle
Languageen
FieldEngineering
TopicRock Mechanics and Modeling
Canadian institutionsUniversity of Toronto
FundersNational Key Research and Development Program of ChinaKey Technologies Research and Development ProgramJiangsu Provincial Key Research and Development ProgramNational Natural Science Foundation of China
KeywordsOverburden pressureGeotechnical engineeringGeologyStress (linguistics)Rock mass classificationRock blastingFracture (geology)Deformation (meteorology)Discrete element methodCylinder stressFinite element methodMining engineeringStructural engineeringEngineeringMechanics

Abstract

fetched live from OpenAlex

With the production activities continue progressing into deeper underground spaces, the rising ground stress poses new challenges in the fracturing of hard rock. Previous research mostly focused on the outer actions of blasting on conventional rock mass, while research on the inner actions of blasting via discrete element method (DEM) is relatively scarce, especially for deep-buried hard rocks under high ground stress. Relying on the pre-cracking project of hard rock protective layer in the thousand-meter deep well of Pingdingshan coal mine, this paper aims to numerically investigate the fracture mechanism of deep-buried hard rock under blasting loads via DEM. To this end, the algorithm of simulating explosion load is improved. The improved algorithm ensures a more reliable correspondence between numerical results and engineering practice, significantly enhancing the accuracy and credibility of calculations. After the calibration of mesoscopic parameters on the basis of laboratory tests, a series of parametric study, including confining pressure, peak blast stress and lateral stress coefficient, have been performed to understand the effects of in-situ stress on the behaviors of rock blasting. The obtained numerical results exhibit that confining pressure inhibits the fracture growth: under low confining pressure, confining pressure mainly inhibits the development of fractures in sparsely fractured zone while the crack growth in densely fractured zone and crushed zone is also inhibited under high confining pressure. According to the stress state, hoop peak stress is more sensitive to confining pressure than radial peak stress. Rock breakage in the vicinity of blasthole is essentially controlled by the radial peak stress, while crack propagation in the far-field is mainly induced by the hoop peak stress. With different lateral stress coefficients, the failure characteristics of rock mass are principally related to the hoop stresses in the vertical direction. The obtained numerical results and mesoscopic analysis are capable of providing new insights into the fracturing mechanism of deep-buried hard rock.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.311
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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