基于表面与深部位移相协同的滑坡分级预警方法OA北大核心CSTPCD
Landslide classification warning method based on coordination of surface and deep displacement
针对滑坡分级预警方法准确率低、预警重复率高、不具有普适性的问题,基于滑坡过程中位移演化的统计学特征,利用正态性检验原理,建立基于表面位移与深部位移信息相结合的滑面超前辨识与滑坡分级预警方法.对表面位移速度、表面位移加速度、深部位移错动量进行正态性检验,由此判断滑坡启动、滑坡加速和滑坡加加速的三级预警时间,通过工程实例验证了三级预警时间的准确性、推断的滑面位置的合理性.研究结论可丰富滑坡预警理论及方法,提高预警精度,为露天矿边坡工程设计提供参考.
Aiming at the issues of low accuracy,high repetition rate,and non-universality of the landslide classification early warning method,based on the statistical characteristics of displacement evolution during the landslide process and the principle of normality test,a method for slip surface advance identification and landslide classification early warning based on surface displacement and deep displacement information was established.The normality tests of surface displacement velocity,surface displacement acceleration,and deep displacement dislocation momentum were carried out to determine the three-level early warning times of landslide start-up,landslide acceleration,and landslide rapid acceleration.The accuracy of the three-level early warning times and the rationality of the inferred position of the slide surface were verified through engineering examples.The research results can enrich the theory and method of landslide warning,enhance the warning precision,and provide references for the design of open-pit slope engineering.
王东;王艳婷;李广贺;张周爱;周志伟;丁春健
辽宁工程技术大学 矿业学院,辽宁 阜新 123000||辽宁工程技术大学 鄂尔多斯研究院,内蒙古 鄂尔多斯 017000辽宁工程技术大学 矿业学院,辽宁 阜新 123000||辽宁工程技术大学 鄂尔多斯研究院,内蒙古 鄂尔多斯 017000辽宁工程技术大学 矿业学院,辽宁 阜新 123000||辽宁工程技术大学 鄂尔多斯研究院,内蒙古 鄂尔多斯 017000国能宝日希勒能源有限公司,内蒙古 呼伦贝尔 021000国能宝日希勒能源有限公司,内蒙古 呼伦贝尔 021000国能宝日希勒能源有限公司,内蒙古 呼伦贝尔 021000
矿山工程
位移监测正态分布随机变量滑坡预警滑面辨识
displacement monitoringnormal distributionrandom variableslandslide warningidentification of sliding surface
《辽宁工程技术大学学报（自然科学版）》 2024 (5)
515-523,9
国家自然科学基金项目(5237412452204135)辽宁省"兴辽英才计划"项目(XLYC2202004)第九届青托工程项目(2023QNRC001)
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