Optimization of confined aquifer dewatering for long-deep excavation using simulation-optimization method

Abstract

The confined aquifer dewatering for long-deep excavations usually encounters challenges due to complicated geotechnical conditions, large excavation sizes, and high hydraulic pressures. To propose the most efficient scheme of confined aquifer dewatering for long-deep excavations, dewatering optimizations were performed using the simulation-optimization method. An open cut tunnel of the Jiangyin-Jingjiang Yangtze River Tunnel Project was taken as an example. The methods of finite element and linear programming (LP) were combined to optimize the dewatering process. A three-dimensional finite element model was developed. After simulating the pumping tests, hydraulic conductivity was inverted. Then, necessary parameters in the LP method were determined by simulating dewatering with each pumping well, and various LP models were developed based on some important influence factors such as dewatering sequence, considered pumping wells, and pumping rate limitation. Finally, the optimal pumping rates were solved and applied to the numerical model, with induced drawdown and ground settlement computed for comparison. The results indicate that the optimization can significantly reduce the required wells in the original design. Dewatering in the deepest zone exhibits the highest efficiency for long-deep excavations with gradually varying depths. For the dewatering sequence from the shallowest to the deepest zone, more pumping wells are required but less energy is consumed. Higher quantity and more advantageous locations of pumping wells in the LP model usually result in lower total pumping rate, drawdown, and ground settlement. If more pumping wells are considered in the deepest zone, pumping rate limitation of single well will only slightly increase the total pumping rate, number of required pumping wells, drawdown, and ground settlement.

Keywords

Dewatering / Confined aquifer / Simulation-optimization / Linear programming / Open cut tunnel

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgement

This work was supported by the National Natural Science Foundation of China (Grant Nos. 41972269 and 52178384), and the Project of Jiangsu Provincial Transportation Construction Bureau, China (Grant No. 2021QD05).

References

[1] Ayvaz, M. T. (2010). A linked simulation-optimization model for solving the unknown groundwater pollution source identification problems. Journal of Contaminant Hydrology, 117(1-4), 46-59.

[2] Ayvaz, M. T. (2018). Optimal dewatering of an excavation site by using the linked simulation-optimization approaches. Water Supply, 18(3), 1020-1031.

[3] Deng, C. J., He, G. J., & Zheng, Y. R. (2006). Studies on Drucker-Prager yield criterions based on M-C yield criterion and application in geotechnical engineering. Chinese Journal of Geotechnical Engineering, 28(6), 735-739 (in Chinese).

[4] Dupuit, J. (1863). Études théoriques et pratiques sur le mouvement des eaux dans les canaux decouverts et à travers les terrains perméables (2nd ed.). Paris: Dunod.

[5] Erickson, M., Mayer, A., & Horn, J. (2002). Multi-objective optimal design of groundwater remediation systems: Application of the niched Pareto genetic algorithm (NPGA). Advances in Water Resources, 25(1), 51-65.

[6] Fang, P. X., Wei, Z. D., & Liao, Z. S. (1987). Applied Hydrogeology. Beijing: Geology Publishing House (in Chinese).

[7] Gennaro, V. D., & Frank, R. (2002). Elasto-plastic analysis of the interface behaviour between granular media and structure. Computers and Geotechnics, 29(7), 547-572.

[8] Hallaji, K., & Yazicigif, H. (1996). Optimal management of a coastal aquifer in southern Turkey. Journal of Water Resources Planning and Management, 122(4), 233-244.

[9] Hong, Y., & Ng, C. W. W. (2013). Base stability of multi-propped excavations in soft clay subjected to hydraulic uplift. Canadian Geotechnical Journal, 50(2), 153-164.

[10] Jiang, S. M., Kong, X. L., Ye, H., & Zhou, N. Q. (2012). Groundwater dewatering optimization in the Shengli no. 1 open-pit coalmine, Inner Mongolia, China. Environmental Earth Sciences, 69(1), 187-196.

[11] Kazemzadeh-Parsi, M. J., Daneshmand, F., Ahmadfard, M. A., Adamowski, J., & Martel, R. (2015). Optimal groundwater remediation design of pump and treat systems via a simulation-optimization approach and firefly algorithm. Engineering Optimization, 47(1), 1-17.

[12] Konkol, J., & Mikina, K. (2021). Some aspects of shear behavior of soft soil-concrete interfaces and its consequences in pile shaft friction modeling. Materials, 14(10), 2578.

[13] Liu, L. H., Lei, M. F., Cao, C. Y., & Shi, C. H. (2019). Dewatering characteristics and inflow prediction of deep foundation pits with partial penetrating curtains in sand and gravel strata. Water, 11(10), 2182.

[14] Liu, Y., Shen, M. Y., Zhao, J. P., Dai, H., Gui, D. W., Feng, X. L.,... Hu, B. (2019). A new optimization method for the layout of pumping wells in oases: Application in the Qira Oasis, Northwest China. Water, 11(5), 970.

[15] Luo, Z. J., Zhang, Y. Y., & Wu, Y. X. (2008). Finite element numerical simulation of three-dimensional seepage control for deep foundation pit dewatering. Journal of Hydrodynamics, 20(5), 596-602.

[16] Mansour, M., & Aly, M. M. (2020). A simulation-optimization approach for optimal design of dewatering systems in unconfined strata. Alexandria Engineering Journal, 59(2), 839-850.

[17] Ministry of Housing and Urban-Rural Development of the People’s Republic of China (MOHURD) (2011). GB 50007—2011: Code for Design of Building Foundation. Beijing China Architecture & Building Press, Beijing, China (in Chinese).

[18] Peng, C. X., Liu, N. W., Li, M. G., Zhen, L., & Chen, J. J. (2021). Hydromechanical coupled analyses on wall deformations caused by deep excavations and dewatering in a confined aquifer. Acta Geotechnica, 17, 2465-2479.

[19] Potyondy, J. G. (1961). Skin friction between various soils and construction materials. Géotechnique, 11(4), 339-353.

[20] Pujades, E., Carrera, J., Vázquez-Su˜ñé E., Jurado, A., Vilarrasa, V., & Mascun˜ano-Salvador, E. (2012). Hydraulic characterization of diaphragm walls for cut and cover tunnelling. Engineering Geology, 125, 1-10.

[21] Pujades, E., Jurado, A., Carrera, J., Vázquez-Suñé E., & Dassargues, A. (2016). Hydrogeological assessment of non-linear underground enclosures. Engineering Geology, 207, 91-102.

[22] Ró_zkowski, K., Zdechlik, R., & Chudzik, W. (2021). Open-pit mine dewatering based on water recirculation—case study with numerical modelling. Energies, 14(15), 4576.

[23] Shourian, M., & Davoudi, S. M. J. (2017). Optimum pumping well placement and capacity design for a groundwater lowering system in urban areas with the minimum cost objective. Water Resources Management, 31, 4207-4225.

[24] Singh, T. S., & Chakrabarty, D. (2010). Multi-objective optimization for optimal groundwater remediation design and management systems. Geosciences Journal, 14(1), 87-97.

[25] Su, M. B., Su, C. L., Chang, C. J., & Chen, Y. J. (1998). A numerical model of ground deformation induced by single well pumping. Computers and Geotechnics, 23(1-2), 39-60.

[26] Tokgoz, M., Yilmaz, K. K., & Yazicigil, H. (2002). Optimal aquifer dewatering schemes for excavation of collector line. Journal of Water Resources Planning and Management, 128(4), 248-261.

[27] Wang, J. X., Feng, B., Yu, H. P., Guo, T. P., Yang, G. Y., & Tang, J. W. (2012). Numerical study of dewatering in a large deep foundation pit. Environmental Earth Sciences, 69, 863-872.

[28] Wang, J. X., Feng, B., Guo, T. P., Wu, L. G., Lou, R. X., & Zhou, Z. (2013). Using partial penetrating wells and curtains to lower the water level of confined aquifer of gravel. Engineering Geology, 161, 16-25.

[29] Wang, J. X., Liu, X. T., Wu, Y. B., Liu, S. L., Wu, L. G., Lou, R. X.,... Yin, Y. (2017). Field experiment and numerical simulation of coupling non-Darcy flow caused by curtain and pumping well in foundation pit dewatering. Journal of Hydrology, 549, 277-293.

[30] Wang, X. W., Yang, T. L., Xu, Y. S., & Shen, S. L. (2019). Evaluation of optimized depth of waterproof curtain to mitigate negative impacts during dewatering. Journal of Hydrology, 577, 123969.

[31] Wang, Y. B., Zhao, C. F., & Wu, Y. (2020). Study on the effects of grouting and roughness on the shear behavior of cohesive soil-concrete interfaces. Materials, 13(14), 3043.

[32] Wu, Y. X., Shen, S. L., Cheng, W. C., & Hino, T. (2017). Semi-analytical solution to pumping test data with barrier, wellbore storage, and partial penetration effects. Engineering Geology, 226, 44-51.

[33] Xie, Z. F., Shen, S. L., Arulrajah, A., & Horpibulsuk, S. (2021). Environmentally sustainable groundwater control during dewatering with barriers: A case study in Shanghai. Underground Space, 6(1), 12-23.

[34] Xu, Y. S., Shen, S. L., & Du, Y. J. (2009). Geological and hydrogeological environment in Shanghai with geohazards to construction and maintenance of infrastructures. Engineering Geology, 109(3-4), 241-254.

[35] You, Y., Yan, C. H., Xu, B. T., Liu, S., & Che, C. H. (2018). Optimization of dewatering schemes for a deep foundation pit near the Yangtze River, China. Journal of Rock Mechanics and Geotechnical Engineering, 10(3), 555-566.

[36] Zhang, D. D., Song, C. Y., & Chen, L. Z. (2013). Numerical evaluation of land subsidence induced by dewatering in deep foundation pit. Journal of Shanghai Jiaotong University (Science), 18(3), 278-283.

[37] Zhou, N. Q., Tang, Y. Q., Xiang, L. R., & Jiang, S. M. (2011). Numerical simulation of deep foundation pit dewatering and land subsidence control of Xujiahui Metro Station. Chinese Journal of Geotechnical Engineering, 33(12), 1950-1956 (in Chinese).