인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Accurate prediction of coal and gas outburst (CGO) hazards is paramount in gas disaster prevention and control. This paper endeavors to overcome the constraints posed by traditional prediction indexes when dealing with CGO incidents under low gas pressure conditions. In pursuit of this objective, we have studied and established a mechanical model of the working face under abnormal stress and the excitation energy conditions of CGO, and proposed a method for predicting the risk of CGO under abnormal stress. On site application verification shows that when a strong outburst hazard level prediction is issued, there is a high possibility of outburst disasters occurring. In one of the three locations where we predicted strong outburst hazards, a small outburst occurred, and the accuracy of the prediction was higher than the traditional drilling cuttings index S and drilling cuttings gas desorption index q . Finally, we discuss the mechanism of CGO under the action of stress anomalies. Based on the analysis of stress distribution changes and energy accumulation characteristics of coal under abnormal stress, this article believes that the increase in outburst risk caused by high stress abnormal gradient is mainly due to two reasons: (1) The high stress abnormal gradient leads to an increase in the plastic zone of the coal seam. After the working face advances, it indirectly leads to an increase in the gas expansion energy that can be released from the coal seam before reaching a new stress equilibrium. (2) Abnormal stress leads to increased peak stress of coal body in front of working face. When coal body in elastic area transforms to plastic area, its failure speed is accelerated, which induces accelerated gas desorption and aggravates the risk of outburst.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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