Prediction Analysis of Pit Deformation Based on Spatial Data Mining

Abstract:

Pit excavation was easy to cause the deformation of the supporting structure and surrounding soil, and brought serious harm to the surrounding buildings and urban underground pipelines. How to carry on a comprehensive analysis of inter-linked pit monitoring points, and improve the overall prediction accuracy was the urgent problem needed to be solved in scientific predictions of pit deformation. In order to establish the multi-variable gray theory GM(1,N) first-order linear dynamic model, using pit mutual influential settlement deformation monitoring data, and the correlation degree analysis, it filtered out the parent sequence WY09 point as the object to be analyzed, and the remaining points were as the systematic analysis of influencing factors, and WY09 point settlement predictions was calculated. According to the comparison analysis of the prediction results and engineering measured results, GM(1,N) model overall prediction accuracy was higher than GM(2,1) model, and prediction results were almost consistent with the measured results, so good effects was produced.

• Periodical: Applied Mechanics and Materials (Volumes 178-181)
• Pages: 2357-2364
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.178-181.2357
• Online since: May 2012
• Authors: Zhi Gang Lu, Jian Ya Gong, Xing Quan Liu
• Keywords: Deformation Prediction, GN(1,N) Model, Pit, Spatial Data Mining

References

[1] Zhigang Lu, Jieping Li. Spatial and Temporal Analysis of Urban Land Price Based on Spatial Data Mining [J]. Journal of Jiangxi University of Science and Technology. 2011,32(5):75-79.(In Chinese)

[2] Haiqi Wang, Jingfeng Wang. Research on Progress of Spatial Data Mining [J].Geography and Geo-Information Science.2005,21(4):06-10.(In Chinese)

[3] Yuanfei Xie, Yang Liu, Haijun Li. Summarization of Spatial Data Mining Methods [J]. GNSS World of China.2010(5):65-70.(In Chinese)

[4] Haiyang Zhuang, Xiangzu Wu, Yingjun Zhuo. Analysis of the Construction Deformation of the Foundation Pit Excavated for Metro Station Built in Soft Site [J]. Journal of Railway Engineering Society.2011(5):86-91.(In Chinese)

[5] Xiping He, Xisheng Hua, Linya Tian. Muti-point Gray Prediction Mode Used in building settlement caused by the Pit Excavation l [J].Subgrade Engineering. 2007(4):06-07.(In Chinese)

[6] Haofeng Xu, Xiangrong Zhu, Bing Chen. Application of Grey Model MGM(1,n) to Deformation Monitoring of Deep Excavation [J]. Industrial Construction.2006,36(11):83-86.(In Chinese)

[7] Zhi Feng, Zhaoping Li, Wei Li. Application Of A Multi-Point Grey Model To Deformation Predictin Of Supporting Structure For Deep Pit[J].Chinese Journal of Rock Mechanics and Engineering. 2007,26(2):4319-4324.(In Chinese)

[8] Shiyuan Hu, Deren Li, Yaolin Liu, Deyi Li. Mining Weights of Land Evaluation Factors Based on Cloud Model and Correlation Analysis. Geomatics and Information Science of Wuhan University. 2006(5):423-427.(In Chinese)

[9] Julong Deng.GM model of gray theory[J].BusesMathematic,1995(2):23–32.(In Chinese)

[10] Huihui Wang, Guorong Pan. A Matlab-Based Multi-Variate Grey Model And Its Application In Deformation Prediction[J]. China Civil Engineering Journal.2005,38(5):24-27.(In Chinese)