Research on Complexity Evaluation for Geological Conditions of Foundation Pit Based on Cloud Model

doi:10.3973/j.issn.2096-4498.2018.10.011

Tunnel Construction ›› 2018, Vol. 38 ›› Issue (10): 1674-1679.DOI: 10.3973/j.issn.2096-4498.2018.10.011

Previous Articles Next Articles

Research on Complexity Evaluation for Geological Conditions of Foundation Pit Based on Cloud Model

LI Ming^{1, 2}， WU Bo^{1, 3}， LI Chunfang⁴

(1. School of Civil Engineering, Fujian University of Technology, Fuzhou 350118, Fujian, China; 2. Key Laboratory of Underground Engineering， Fuzhou 350118， Fujian， China; 3. College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, Guangxi, China;  4. CCCC First Highway Xiamen Engineering Co., Ltd., Xiamen 361021, Fujian, China)

Received:2018-01-19 Revised:2018-04-07 Online:2018-10-20 Published:2018-10-26

Abstract

Abstract:

The complexity evaluation for geological conditions of foundation pit is characterized by fuzzy and random. Hence, a method for determining the cloud model of complexity evaluation of geological conditions of foundation pit with quantitative index as interval number is established based on fuzziness and randomness of cloud model. The geological characteristics of Fujian area and possible risks during foundation pit construction are analyzed and summarized. The complexity evaluation system for geological conditions of foundation pit and quantitative standard of each index are established. The evaluation grades are divided into 4 kinds, i.e. simple, general, relatively complicated and complicated, which respectively correspond to intervals of ［0,2.5), ［2.5,5.0), ［5.0,7.5) and ［7.5,10.0］, and the numerical characteristics of corresponding cloud model is determined. The abovementioned theory and method are applied to a foundation pit of Fuzhou Metro Line No. 2, the treatment measures for groundwater and soft soil are put forward based on evaluation results, and the feasibility and effectiveness of abovementioned method are verified by engineering practice.

Key words: foundation pit engineering, geological condition, complexity evaluation, cloud model, analytic hierarchy process

CLC Number:

U 45

LI Ming， WU Bo， LI Chunfang. Research on Complexity Evaluation for Geological Conditions of Foundation Pit Based on Cloud Model[J]. Tunnel Construction, 2018, 38(10): 1674-1679.

/ Recommend

[1]	WANG Jie, CHENG Guolong, ZHOU Bing, HU Wei, TAN Houjun, XIE Jianhong. Safety Risk Evaluation of Long-Distance Small-Diameter Tunnel Bored by Tunnel Boring Machine [J]. Tunnel Construction, 2024, 44(S2): 211-223.
[2]	LIU Chengwen, LIU Gang, XU Hua, DING Guopeng. Mechanism and Risk Assessment of Water and Mud Inrush in Water-Rich Section With Tertiary Semi-Diagenetic Sandstone and Mudstone in Wangjiazhai Tunnel [J]. Tunnel Construction, 2024, 44(S1): 139-148.
[3]	LI Jing, WU Hailong, HE Qiantu, LIN Chungang. Scheme Design of Trolley for Disease Control of Operational Railway Tunnel Based on Analytic Hierarchy ProcessTRIZ [J]. Tunnel Construction, 2024, 44(4): 801-809.
[4]	QIN Yawei, TAN Yi, JU Wanglai, CHEN Bin. Collapse Risk Assessment of Mountain Tunnels Based on SetPair Analysis Theory and Digital Platform [J]. Tunnel Construction, 2024, 44(3): 475-483.
[5]	HONG Zequn, FU Shuoren, SHI Rongjian, ZHANG Yong, LU Lu, SUN Meng, QIU Peiyun. Analytical Study of SteadyState Temperature Field of Local -Freezing and Water Sealing in Foundation Pit Engineering [J]. Tunnel Construction, 2024, 44(1): 116-125.
[6]	WU Cheng, ZHANG Bo, LEI Shasha, YANG Chuhan, LI Bin, LU Feng, ZHANG Junru. Construction Risk Assessment of Shield Tunnel Crossing Bridge Pile Foundation Group Based on FAHPGRA Method [J]. Tunnel Construction, 2023, 43(S2): 186-196.
[7]	ZHANG Jianming, SHI Kebin, DALAYIHAN Bahetebieke, SHAN Hongze, SHI Renyi, FU Tao, LU Zhipeng. Evaluation and Prediction of TBM′s Geological Adaptability Based on VariableWeight Set PairMultidimensional Linked Normal Cloud Model [J]. Tunnel Construction, 2023, 43(4): 645-657.
[8]	XIAO Mingqing, SUN Wenhao, QU Liqing, LI Xiang, CHEN Libao, NI Jian, MA Xiangfeng. Study on General Design of Second Jiaozhou Bay Subsea Tunnel [J]. Tunnel Construction, 2023, 43(2): 199-216.
[9]	GUO Hongbin, SONG Zhanping, MENG Chen, WANG Junbao, LIU Naifei, GUO Desai. Shield Tunneling Risk Assessment Based on Nonlinear Fuzzy Analytic Hierarchy Method [J]. Tunnel Construction, 2023, 43(11): 1862-1871.
[10]	GUO Fei, KONG Heng, SUN Kaiyue, TAO Lianjin, ZHANG Yu, MENG Yajuan. Calculation Method of Carbon Emission in Metro Deep and Large Foundation Pit Construction [J]. Tunnel Construction, 2022, 42(S2): 197-206.
[11]	TAN Junkun, QIAO Shifan, CAI Ziyong, ZHAO Yong, ZHANG Xibao, XIANG Nan. Stability Analysis of Underground Diaphragm Wall and Karst Sidewall Based on Janssen Theory [J]. Tunnel Construction, 2022, 42(S2): 225-233.
[12]	ZHAO Yan. Stability Evaluation of Loess Tunnel during Construction Based on Principal Component AnalysisCloud Model [J]. Tunnel Construction, 2022, 42(9): 1529-1536.
[13]	JIANG Zhenxiong, XUE Peng, MA Xin, XIE Jingchao, LIU Jiaping. Evaluation System of Green Highway Tunnels [J]. Tunnel Construction, 2022, 42(4): 586-593.
[14]	HONG Xiaochun. Integrated Development Mechanism and Evaluation Method of Underground Public Spaces and Rail Transit in Urban Central Areas under Carbon Peaking and Neutralization Policy [J]. Tunnel Construction, 2022, 42(12): 2036-2047.
[15]	LI Pengfei, LI Kangning, ZHAO Xiaoyong, ZHAO Yong, LIU Jianyou. Block Division Scheme for Prefabricated Secondary Lining in Railway Tunnel Based on Analytic Hierarchy Process [J]. Tunnel Construction, 2021, 41(S2): 92-99.

Research on Complexity Evaluation for Geological Conditions of Foundation Pit Based on Cloud Model

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments