Foundation pit dewatering optimization design based on GMW-2005 and LGR technique

HUANG Shan-shan; JIANG Si-min; ZHANG Rui-cheng; ZHANG Shi-rong; ZHANG Wen

doi:10.19637/j.cnki.2305-7068.2018.03.008

Volume 6 Issue 3

Sep. 2018

Turn off MathJax

Article Contents

Article Navigation > Journal of Groundwater Science and Engineering > 2018 > 6(3): 234-242

HUANG Shan-shan, JIANG Si-min, ZHANG Rui-cheng, et al. 2018: Foundation pit dewatering optimization design based on GMW-2005 and LGR technique. Journal of Groundwater Science and Engineering, 6(3): 234-242. doi: 10.19637/j.cnki.2305-7068.2018.03.008

Citation:

HUANG Shan-shan, JIANG Si-min, ZHANG Rui-cheng, et al. 2018: Foundation pit dewatering optimization design based on GMW-2005 and LGR technique. Journal of Groundwater Science and Engineering, 6(3): 234-242. doi: 10.19637/j.cnki.2305-7068.2018.03.008

Citation:

PDF( 1487 KB)

Foundation pit dewatering optimization design based on GMW-2005 and LGR technique

doi: 10.19637/j.cnki.2305-7068.2018.03.008

1Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China. 2Nanning Rail Transit Co., Ltd., Nanning 530000, China.

Publish Date: 2018-09-28

Abstract

Abstract

The slope instability and uneven settlement caused by the foundation pit dewatering pose a great threat to the project and surrounding environment. Thus, it is necessary to carry out optimization design of the foundation pit dewatering project. To solve this problem, this paper introduces the simulation-optimization method and establishes the groundwater model based on MODFLOW-2005. The local grid refinement (LGR) technique is employed to achieve the refinement of dewatering area. Under the premise of construction safety, the minimum cost of the project is set as the objective function to solve the optimization problem of foundation pit engineering with GWM-2005. The results show that the optimization with GWM-2005 will be more accurate combined with the LGR model, but the improvement of the optimization is not obvious. It is necessary to choose a suitable local refinement model considering the engineering requirement.
- Foundation pit dewatering,
- Simulation-optimization model,
- Response Matrix method,
- GWM-2005,
- Local grid refinement (LGR)

FullText(HTML)

References(21)

References

Ahlfeld D P, Hoque Y. 2008. Impact of simulation model solver performance on ground water management problems. Groundwater, 46(5): 716-726 .

Ahlfeld D P, Baro-Montes G. 2008. Solving unconfined groundwater flow management problems with successive linear programming. Journal of Water Resources Planning and Management, 134(5):404-412 .

Rohatgi U, Furey M. 2010. Development of application of pattern recognition system. United States: Brookhaven National Laboratory .

Mehl S W, Hill M C. 2013. MODFLOW- LGR-documentation of ghost node local grid refinement (LGR2) for multiple areas and the boundary flow and head (BFH2) package. Reston: US Geological Survey Techniques and Methods 6-A44 .

SHI Cheng-hua, JIANG Jin, et al. 2017. Optimal design of construction dewatering of underground engineering with the consideration of dynamic dewatering process. Journal of Railway Science & Engineering, 14(8):1597-1605 .

ZHANG Yan-jun, ZHAO Long, et al. 2008. Research on numerical simulation of dewatering effect and design optimization. Rock and Soil Mechanics, 29(10):2673-2677 .

JI Yue-hua, ZHU Guo-hua, JIANG Si-min. 2007. Brief Account of Groundwater Management Model with GWM and Algorithmic Examples. Site Investigation Science & Technology, (1):17-22 .

Ayvaz M T. 2016. A hybrid simulation- optimization approach for solving the areal groundwater pollution source identification problems. Journal of Hydrology, 538:161- 176 .

Wagner B J, Gorelick S M. 1986. A statistical methodology for estimating transport parameters: theory and applications to one-dimensional advective-dispersive systems. Water Resources Research, 22(8):1303-1315 .

WU Hong-zu. 2017. Rational allocation of surface water and groundwater in irrigation district based on GWM. Yangling: Northwest A&F University .

WANG H Q, ZHANG M S, et al. 2014. Optimal groundwater management model for salawusu formation in consideration of ecological constraint. Journal of Yangtze River Scientific Research Institute, 31(4):21-25 .

YOU Yang, YAN Chang-hong, et al. 2017. Optimization design for dewatering of large deep foundation pit under complex geological conditions. Journal of Engineering Geology, 25(3):715-722 .

WU Jian-feng, ZHENG Chun-miao, et al. 2006. A comparative study of Monte Carlo simple genetic algorithm and noisy genetic algorithm for cost-effective sampling network design under uncertainty. Advances in Water Resources, 29(6):899-911 .

Baromontes G. 2007. Ground water management, GWM, formulations to control subsidence in a large scale transient problem. Amherst: University of Massachusetts, Environmental & Water Resources Engineering Masters Projects .

Ahlfeld D P, Baker K M, Barlow P M. 2009. GWM-2005, a groundwater-management process for MODFLOW-2005 with Local Grid Refinement (LGR) capability. Washington DC: US Department of the Interior, US Geological Survey .

YANG Yun, WU Jian-feng, LIU De-peng. 2015. Numerical modeling of water yield of mine in Yangzhuang IronMine, Anhui Province of China. Journal of Groundwater Science and Engineering, 3(4):352-362 .

YANG Yang, SHAO Jing-li, et al. 2015. A study of irregular nested MODFLOW model technology based on the LGR. Hydrogeology & Engineering Geology, 42(1):22-28 .

ZHOU Nian-qing, YANG Yi-liu, JIANG Si-min. 2016. Solving groundwater numerical model with unstructured grid method. Site Investi-gation Science & Technology, (1):14-17 .

WANG Jie, ZHANG Fei, et al. 2008. Study of the groundwater table controlling for deep foundation pits. Journal of Shenyang Jianzhu University, 24(5):748-752 .

YU Dan, LV Jin-Peng, ZHUANG Yan. 2014. Optimal design for foundation pit dewatering based on objective function controlled by drawdown. Journal of Water Resources & Architectural Engineering, 12(2):62-66 .

Pulido-Velazquez D, Ahlfeld D, et al. 2008. Reducing the computational cost of unconfined groundwater flow in conjunctive- use models at basin scale assuming linear behaviour: The case of Adra-Campo de Dalías. Journal of Hydrology, 353(1-2):159-174 .

Relative Articles

[1]	Xiang Gao, Tai-lu Li, Yu-wen Qiao, Yao Zhang, Ze-yu Wang, 2024: A combined method using Lattice Boltzmann Method (LBM) and Finite Volume Method (FVM) to simulate geothermal reservoirs in Enhanced Geothermal System (EGS), Journal of Groundwater Science and Engineering, 12, 132-146. doi: 10.26599/JGSE.2024.9280011
[2]	Cheng-peng Ling, Qiang Zhang, 2024: Exploring the groundwater response to rainfall in a translational landslide using the master recession curve method and cross-correlation function, Journal of Groundwater Science and Engineering, 12, 237-252. doi: 10.26599/JGSE.2024.9280018
[3]	Shu-hong Song, Zhen-long Nie, Xin-xin Geng, Xue Shen, Zhe Wang, Pu-cheng Zhu, 2023: Response of runoff to climate change in the area of runoff yield in upstream Shiyang River Basin, Northwest China: A case study of the Xiying River, Journal of Groundwater Science and Engineering, 11, 89-96. doi: 10.26599/JGSE.2023.9280009
[4]	Xiang-ke Kong, Zi-xuan Zhang, Ping Wang, Yan-yan Wang, Zhao-ji Zhang, Zhan-tao Han, Li-sha Ma, 2022: Transformation of ammonium nitrogen and response characteristics of nitrifying functional genes in tannery sludge contaminated soil, Journal of Groundwater Science and Engineering, 10, 223-232. doi: 10.19637/j.cnki.2305-7068.2022.03.002
[5]	Hao ZHOU, Yong WU, Feng HUANG, Xue-fang TANG, 2021: Experimental simulation and dynamic model analysis of Cadmium (Cd) release in soil affected by rainfall leaching in a coal-mining area, Journal of Groundwater Science and Engineering, 9, 65-72. doi: 10.19637/j.cnki.2305-7068.2021.01.006
[6]	YANG Ai-lin, JIANG Si-min, LIU Jin-bing, JIANG Qian-yun, ZHOU Ting, ZHANG Wen, 2020: Groundwater contaminant source identification based on iterative local update ensemble smoother, Journal of Groundwater Science and Engineering, 8, 1-9. doi: 10.19637/j.cnki.2305-7068.2020.01.001
[7]	XIA Fan, SONG Hong-wei, WANG Meng, WANG Hong-liang, CHEN Yu, 2019: Analysis of prospecting polymetallic metallogenic belts by comprehensive geophysical method, Journal of Groundwater Science and Engineering, 7, 237-244. doi: DOI: 10.19637/j.cnki.2305-7068.2019.03.004
[8]	LI Ke, KANG Xiao-bing, 2019: Optimizing dewatering design for a metro station on the Chengdu Metro Line 7, Journal of Groundwater Science and Engineering, 7, 155-164. doi: 10.19637/j.cnki.2305-7068.2019.02.006
[9]	LI Wen-yon, FU Li, ZHU Zheng-feng, 2019: Numerical simulation and land subsidence control for deep foundation pit dewatering of Longyang Road Station on Shanghai Metro Line 18, Journal of Groundwater Science and Engineering, 7, 133-144. doi: 10.19637/j.cnki.2305-7068.2019.02.004
[10]	SONG Hong-wei, MU Hai-dong, XIA Fan, 2018: Analyzing the differences of brackish-water in the Badain Lake by geophysical exploration method, Journal of Groundwater Science and Engineering, 6, 187-192. doi: 10.19637/j.cnki.2305-7068.2018.03.004
[11]	GUO Jin-xing, GRAEBER Peter-Wolfgang, 2018: Landslide forecasting based on hydrological process simulation for a dump slope in an open mining pit, Journal of Groundwater Science and Engineering, 6, 92-103. doi: 10.19637/j.cnki.2305-7068.2018.02.003
[12]	LI Lu-lu, SU Chen, HAO Qi-chen, SHAO Jing-li, 2018: Numerical simulation of response of groundwater flow system in inland basin to density changes, Journal of Groundwater Science and Engineering, 6, 7-17. doi: 10.19637/j.cnki.2305-7068.2018.01.002
[13]	LI Guo-ao, YAN Lei, CHEN Zhen-he, LI Ye, 2017: Determination of organic carbon in soils and sediments in an automatic method, Journal of Groundwater Science and Engineering, 5, 124-129.
[14]	ZHU Wei, TANG Wen, LIU Qiang, ZHANG Mei-gui, 2017: Analysis on variation characteristics of geothermal response in Liaoning Province, Journal of Groundwater Science and Engineering, 5, 336-342.
[15]	JI Rui-li, ZHANG Ming, SU Rui, GUO Yong-hai, ZHOU Zhi-chao, LI Jie-biao, 2016: Research of in-situ hydraulic test method by using double packer equipment, Journal of Groundwater Science and Engineering, 4, 41-51.
[16]	YUE Gao-fan, LV Wen-bin, ZHANG Wei, SU Ran, LIN Wen-jing, 2016: Optimization of geothermal water exploitation in Xinji, Hebei Province, P. R. China, Journal of Groundwater Science and Engineering, 4, 197-203.
[17]	Do Van Binh, 2014: Using Environmental Isotope Method to Study the Air Temperature Variations of the Earth, Journal of Groundwater Science and Engineering, 2, 97-102.
[18]	ZHANG Shao-cai, LIU Li-jun, LIU Zhi-gang, WANG Jun-jie, CUI Qiu-ping, WANG Juan, 2014: Method for groundwater research in bedrock of mountainous area of Hebei, Journal of Groundwater Science and Engineering, 2, 97-104.
[19]	LIU Chang-Rong, HUANG Shuang-Bing, ZHANG Li-Zhong, 2014: New Mine Geological Environment Impact Assessment Method, Journal of Groundwater Science and Engineering, 2, 88-96.
[20]	Le SONG, Yan-pei CHENG, 2014: Optimization Research of Water-Soil Resources in Huanghua, Journal of Groundwater Science and Engineering, 2, 86-94.