Evolution of deformation and monitoring techniques of surface tilt for soil landslides using MEMS technique
-
摘要: 随着现代信息技术快速发展，人们获取滑坡现场各类监测信息的能力越来越强，积累的现场监测数据也愈来愈多，如何充分、精细化地利用监测数据已成为滑坡监测预警工作中重点关注的问题。为此，本文以土质滑坡为研究对象，采用强度折减有限元方法开展地表倾斜变形时空演化特征理论研究，发现地表倾斜变形在滑动面扩展至贯通期间出现"速率排序跃迁"现象，在滑动面贯通后出现"速率突变"现象。采用地表倾斜变形与内部滑动面之间的这种定量化关联特性，可以为土质滑坡中短期预测预报方法研究提供新的视角和方向。利用理论研究成果，本文进一步开展地表倾斜变形监测关键技术研究，讨论基于MEMS加速度计的倾角传感器的测量原理与测量精度，分析环境温差波动对倾角测量误差的影响，最后介绍基于竖直倾角测量方式研制的普适型滑坡地表倾斜变形监测设备——坡体浅层倾斜变形测量仪。Abstract: With the rapid development of modern information technology,the ability to obtain various monitoring information of landslide is becoming stronger and stronger,and the field monitoring data accumulated is also more and more. How to make full use of the monitoring data has become a key issue in landslide monitoring and early warning work. Therefore,soil landslide is taken as the research object in this paper,and the strength reduction finite element method is used to study the temporal-spatial evolution characteristics of surface tilt deformation. It is found that the so-called "rate sequence transition" occurs during the period from sliding surface extension to breakthrough,and the so-called "rate mutation" occurs after the sliding surface passes through. The quantitative correlation between the surface tilt deformation and the internal sliding surface can provide a new perspective and direction for the study of medium and short-term prediction of soil landslides. With the help of theoretical results,this paper further studies the key techniques of surface tilt deformation monitoring,discusses the measurement principle and measurement accuracy of inclination sensor based on MEMS accelerometer,analyzes the influence of environmental temperature difference fluctuation on inclination measurement error,and finally introduces a universal landslide surface tilt deformation monitoring equipment-Shallow deformation measuring instrument for slope.
-
-
[1] 黄润秋. 20世纪以来中国的大型滑坡及其发生机制[J]. 岩石力学与工程学报, 2007, 26(3):433-454. [HUANG R Q. Large-scale landslides and their sliding mechanisms in China since the 20th century[J]. Chinese Journal of Rock Mechanics and Engineering, 2007, 26(3):433-454.(in Chinese)]
[2] 刘传正. 中国崩塌滑坡泥石流灾害成因类型[J]. 地质论评, 2014, 60(4):858-868. [LIU C Z. Genetic types of landslide and debris flow disasters in China[J]. Geological Review, 2014, 60(4):858-868.(in Chinese)]
[3] 殷跃平, 吴树仁, 等. 滑坡监测预警与应急防治技术研究[M]. 北京:科学出版社, 2012.[YIN Y P, WU S R,et al. Research on landslide monitoring,early warning and emergency prevention technology[M]. Beijing:Science Press, 2012.(in Chinese)] [4] 许强, 董秀军, 李为乐. 基于天-空-地一体化的重大地质灾害隐患早期识别与监测预警[J]. 武汉大学学报·信息科学版, 2019, 44(7):957-966. [XU Q, DONG X J, LI W L. Integrated space-air-ground early detection, monitoring and warning system for potential catastrophic geohazards[J]. Geomatics and Information Science of Wuhan University, 2019, 44(7):957-966.(in Chinese)]
[5] 殷坤龙. 滑坡灾害预测预报[M]. 武汉:中国地质大学出版社, 2004.[YIN K L. Landslide hazard prediction and evaluation[M]. Wuhan:China University of Geosciences Press, 2004.(in Chinese)] [6] 许强, 黄润秋, 李秀珍. 滑坡时间预测预报研究进展[J]. 地球科学进展, 2004, 19(3):478-483. [XU Q, HUANG R Q, LI X Z. Research progress in time forecast and prediction of landslides[J]. Advance in Earth Sciences, 2004, 19(3):478-483.(in Chinese)]
[7] 许强. 对滑坡监测预警相关问题的认识与思考[J]. 工程地质学报, 2020, 28(2):360-374. [XU Q. Understanding the landslide monitoring and early warn-ing:consideration to practical issues[J]. Journal of Engineering Geology, 2020, 28(2):360-374.(in Chinese)]
[8] DU J, YIN K L, LACASSE S. Displacement prediction in colluvial landslides, Three Gorges Reservoir, China[J]. Landslides, 2013, 10(2):203-218.
[9] 李麟玮, 吴益平, 苗发盛, 等. 基于变分模态分解与GWO-MIC-SVR模型的滑坡位移预测研究[J]. 岩石力学与工程学报, 2018, 37(6):1395-1406. [LI L W, WU Y P, MIAO F S, et al. Displacement prediction of landslides based on variational mode decomposition and GWO-MIC-SVR model[J]. Chinese Journal of Rock Mechanics and Engineering, 2018, 37(6):1395-1406.(in Chinese)]
[10] INTRIERI E, CARLÀ T, GIGLI G. Forecasting the time of failure of landslides at slope-scale:a literature review[J]. Earth-Science Reviews, 2019, 193:333-349.
[11] 郭科, 彭继兵, 许强, 等. 滑坡多点数据融合中的多传感器目标跟踪技术应用[J]. 岩土力学, 2006, 27(3):479-481. [GUO K, PENG J B, XU Q, et al. Application of multi-sensor target tracking to multi-station monitoring data fusion in landslide[J]. Rock and Soil Mechanics, 2006, 27(3):479-481.(in Chinese)]
[12] 彭鹏, 单治钢, 董育烦, 等. 多传感器估值融合理论在滑坡动态变形监测中的应用研究[J]. 工程地质学报, 2011, 19(6):928-934. [PENG P, SHAN Z G, DONG Y F, et al. Application of multi-sensor valuation fusion theory to monitoring dynamic deformation of landslides[J]. Journal of Engineering Geology, 2011, 19(6):928-934.(in Chinese)]
[13] BAK P, TANG C, WIESENFELD K. Self-organized criticality:an explanation of the 1/fnoise[J]. Physical Review Letters, 1987, 59(4):381.
[14] 许强, 黄润秋. 岩石破裂过程的自组织临界特征初探[J]. 地质灾害与环境保护, 1996, 7(1):25-30. [XU Q, HUANG R Q. Disscussion on self-organized critical characters in the course of rock failure[J]. Journal of Geological Hazards and Environment Preservation, 1996, 7(1):25-30.(in Chinese)]
[15] 白以龙, 汪海英, 夏蒙棼, 等. 固体的统计细观力学——连接多个耦合的时空尺度[J]. 力学进展, 2006, 36(2):286-305. [BAI Y L, WANG H Y, XIA M F, et al. Statistical mesomechanics of solid, linking coupled multiple space and time scales[J]. Advances in Mechanics, 2006, 36(2):286-305.(in Chinese)]
[16] 许强, 汤明高, 徐开祥, 等. 滑坡时空演化规律及预警预报研究[J]. 岩石力学与工程学报, 2008, 27(6):1104-1112. [XU Q, TANG M G, XU K X, et al. Research on space-time evolution laws and early warning-prediction of landslides[J]. Chinese Journal of Rock Mechanics and Engineering, 2008, 27(6):1104-1112.(in Chinese)]
[17] GRIFFITHS D V, LANE P A. Slope stability analysis by finite elements[J]. Géotechnique, 1999, 49(3):387-403.
[18] 刘晓宇, 赵颖, 刘洋, 等. 土质边坡极限平衡状态及临界滑动面的判定方法[J]. 岩石力学与工程学报, 2012, 31(7):1369-1378. [LIU X Y, ZHAO Y, LIU Y, et al. Determination method of limit equilibrium state and critical slip surface of soil slope[J]. Chinese Journal of Rock Mechanics and Engineering, 2012, 31(7):1369-1378.(in Chinese)]
[19] DAWSON E M, ROTH W H, DRESCHER A. Slope stability analysis by strength reduction[J]. Géotechnique, 1999, 49(6):835-840.
[20] 郑颖人, 赵尚毅, 张鲁渝. 用有限元强度折减法进行边坡稳定分析[J]. 中国工程科学, 2002, 4(10):57-61. [ZHENG Y R, ZHAO S Y, ZHANG L Y. Slope stability analysis by strength reduction FEM[J]. Engineering Science, 2002, 4(10):57-61.(in Chinese)]
[21] EBERHARDT E, STEAD D, COGGAN J S. Numerical analysis of initiation and progressive failure in natural rock slopes-the 1991 Randa rockslide[J]. International Journal of Rock Mechanics and Mining Sciences, 2004, 41(1):69-87.
[22] PREISIG G. Forecasting the long-term activity of deep-seated landslides via groundwater flow and slope stability modelling[J]. Landslides, 2020, 17(7):1693-1702.
[23] 赵正平. MEMS智能传感器技术的新进展[J]. 微纳电子技术, 2019, 56(1):1-7. [ZHAO Z P. New progress of smart sensor technology based on MEMS[J]. Micronanoelectronic Technology, 2019, 56(1):1-7.(in Chinese)]
[24] 曹贯强, 赵文生. 基于MEMS加速度计的高精度倾角传感器研制[J]. 自动化仪表, 2020, 41(3):25-28. [CAO G Q, ZHAO W S. Development of high precision tilt sensor based on MEMS accelerometer[J]. Process Automation Instrumentation, 2020, 41(3):25-28.(in Chinese)]
[25] 杨贺, 王立伟, 郝圣旺. 基于倾角演化的滑坡监测及稳定过程[J]. 工程力学, 2020, 37(增刊1):193-199.[YANG H, WANG L W, HAO S W. Landslide monitoring and its stabilization process based on an in situ tilt monitoring system[J]. Engineering Mechanics, 2020, 37 (Sup1):193-199.(in Chinese)]
-
期刊类型引用(8)
1. 洪勃，唐亚明，冯卫，李政国，潘学树，冯凡，周永恒，尹春旺. 基于3D实景模型和AHP边坡危险性评价系统的应用：以沿黄公路吴堡–永和段为例. 西北地质. 2024(06): 218-233 . 
百度学术
2. 于锦，谭飞，仝德富，郭永楠，马邦闯. 基于栈式自编码器的土质边坡失稳风险评估. 安全与环境工程. 2020(05): 153-158 . 百度学术
3. 林阿娜，王浩，颜斌，戴旭明，胡燮，赵小盘，王晨. 邻近输电塔路堑边坡失稳风险定量评估及加固工程设计优化. 中国地质灾害与防治学报. 2019(02): 19-29 . 本站查看
4. 刘小玲，丁勇，王佩，万克为，曹之彬. 面向巨灾保险的营运期公路边坡多灾害风险评估. 自然灾害学报. 2019(02): 74-81 . 百度学术
5. 刘丙财，焦春茂，梁健伟，谭波，陈城. 500kV鹏深线杆塔基础边坡稳定性综合评估研究. 工程技术研究. 2019(14): 1-5 . 百度学术
6. 邢军，董小波，贺晓宁. 隧道洞口滑坡工程地质问题与变形机理研究. 灾害学. 2018(S1): 14-17+29 . 百度学术
7. 魏淑艳，吴碧中. 某公路高边坡稳定性分析及防护措施研究. 公路工程. 2018(06): 274-277 . 百度学术
8. 王华俊，徐洪科，董理金. 山区公路岩质路堑边坡稳定性评定方法粗探. 中国地质灾害与防治学报. 2017(01): 62-66 . 本站查看
其他类型引用(2)
计量
- 文章访问数: 421
- HTML全文浏览量: 191
- PDF下载量: 549
- 被引次数: 10
下载:
邮件订阅
RSS