Research On Dynamic Characteristic Quantity Of Flying Gangue In Steeply Dipping Seam Based On Interval Method

In the process of mining steeply dipping seam,There are various uncertainties on dynamic characteristic quantity of flying gangue,which can cause their values to fluctuate within a certain range.The probabilistic method can effectively predict the range of the dynamic characteristics of the flying gangue under the condition that the probability density information of the uncertain parameters is known.But in real life,the probability density information of some uncertain parameters is often lacking.Interval analysis method can quantitatively describe the reliable variation range under the condition that the probability distribution of uncertain factors is unknown.Interval analysis method is an important means to study such uncertainties.In this paper,Aiming at the uncertainty of the dynamic characteristics of the flying gangue of mining steeply dipping seam,Taked flying gangue of mining steeply dipping seam as research object.Used the more convenient and practical interval analysis method based on uncertainty measurement.Established the dynamic characteristics of the flying gangue motion model of the working surface under uncertain environment.The feasibility of the model is verified by practical engineering examples.The specific research content includes:Firstly,for the rolling situation of the flying gangue when Initial state is static,the rolling friction coefficient and slope inclination are selected as uncertainty parameters.Established interval analysis model of fly gangue motion with rolling friction coefficient randomness and interval analysis model of fly gangue motion with rolling friction coefficient and slope inclination are random at the same time under static initial condition respectively.And compared with the Monte Carlo simulation results.The comparison results show that the interval calculated by the interval analysis model contains the interval simulated by Monte Carlo method.The smaller the deviation coefficient,the higher the accuracy.Secondly,about collision situation of flying gangue when Initial state is free fall.The collision recovery coefficient of flying gangue are selected as uncertainty parameters.Established non probabilistic interval analysis model of the dynamic characteristics of flying gangue with random collision recovery coefficient under free fall initial state.By referring to the calculation method of the interval analysis model of the first collision and the second collision of flying gangue,The interval analysis model of the ith collision of flying gangue is obtained.And compared with the Monte Carlo simulation results.The comparison results show that the interval calculated by the interval analysis model contains the interval simulated by Monte Carlo method.The smaller the deviation coefficient,the higher the accuracy.In summary,the interval analysis model established in this paper can accurate calculation the range of variation of the dynamic characteristics during the movement of fly gangue under the condition that the probability distribution of uncertain factors is unknown.It can provide a reliable theoretical basis for improving the control technology of fly gangue of mining steeply dipping seam and ensuring the safe mining of steeply dipping seam.