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机构地区:[1]山东科技大学力学与工程科学系,泰安271019
出 处:《岩土力学》2003年第S2期335-339,共5页Rock and Soil Mechanics
基 金:山东省自然科学基金资助项目(Y2000F06);山东省中青年学术骨干基金资助项目。
摘 要:岩层是一种力学性质极为复杂的材料,其破坏灾变前兆异常呈现出多变性。作者就岩层破坏灾变前兆异常的几种识别方法包括趋势与滤波、模糊识别、分形方法和奇点的多分辨率小波识别等进行了对比分析。实例表明,小波技术可有效对岩层突变异常信息点进行多尺度辨析,能够对顶板冒落灾变前兆信息进行有效把握,是值得推广的一种方法。As we know, stratum is a kind of very complicated medium in bedding action and in mechanical characters. Diversification of omen singularity would appear before strata catastrophe takes place. In this paper, several identifying methods such as tendency analysis and filter, fuzzy recognition, fractal description and multi-resolution wavelet technique for abnormal signals are discussed. It is shown by practical cases and comparison that multi-resolution wavelet technique can identify the abnormal signal of strata catastrophe effectively in different scale, the omen of strata catastrophe can be grasped accurately, it is a valuable method for generalization.
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