本文選題：巖石力學 + 煤　； 參考：《四川大學學報(工程科學版)》2016年S2期

【摘要】：為探究煤破壞全過程的聲發(fā)射(acoustic emission,簡稱AE)特征及破壞前兆信息,利用MTS815巖石力學試驗系統(tǒng)和PCI-2型聲發(fā)射監(jiān)測系統(tǒng),對不同初始圍壓下煤樣的卸荷破壞進行聲發(fā)射試驗,得到煤在卸荷過程中AE特征的圍壓效應及基于聲發(fā)射的多參數(shù)綜合破壞前兆信息。結果表明:煤的承載能力隨著初始圍壓的上升明顯提高。煤在變形破壞過程中的AE時序參數(shù)、空間分布演化特征和振幅分布均與其所處力學狀態(tài)契合良好,部分AE參數(shù)在煤樣變形破壞過程中產(chǎn)生明顯突變:AE空間分布演化2次突變點對應的應力水平分別為55%和80%;能量率突變點對應的應力水平為87%;振鈴計數(shù)率的突變點大致對應其峰值應力;振幅和b值的峰值分別對應峰后89%和78%左右的應力水平。根據(jù)突變點對應變形破壞階段的不同,將其綜合分為4組,作為煤卸荷破壞的前兆信息,為采用AE監(jiān)測技術預防開挖過程中的動力災害事故提供參考。
[Abstract]:In order to investigate the acoustic emission (AE) characteristics of the whole process of coal destruction and its precursor information, the unloading failure of coal samples under different initial confining pressures was tested by using MTS815 rock mechanics test system and PCI-2 acoustic emission monitoring system. The confining pressure effect of AE characteristics and the comprehensive damage precursor information based on acoustic emission are obtained. The results show that the bearing capacity of coal increases with the increase of initial confining pressure. The time series parameters of AE, the evolution characteristics of spatial distribution and amplitude distribution of coal in the process of deformation and failure all agree well with the mechanical state in which they are located. Some AE parameters have obvious mutations in the coal sample deformation and failure process. The stress levels corresponding to the two abrupt points corresponding to the evolution of the spatial distribution of the fraction AE are 55% and 80%, respectively; the stress level corresponding to the energy rate mutation point is 87%; and the abrupt point of ringing counting rate is corresponding to the change point. Corresponding to its peak stress; The peak values of amplitude and b correspond to the stress levels of 89% and 78% after the peak, respectively. According to the different deformation and failure stages corresponding to the sudden change point, it is divided into 4 groups, which can be used as the precursor information of coal unloading and damage, and provide a reference for the use of AE monitoring technology to prevent dynamic disasters and accidents during excavation.
【作者單位】： 四川大學水力學與山區(qū)河流開發(fā)保護國家重點實驗室水利水電學院;
【基金】：國家重點基礎研究發(fā)展計劃資助項目(2011CB201201) 國家自然科學基金資助項目(51204113;51134018)
【分類號】：TD315

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