Prediction of Grouting Method for Decreasing the Lugeon Value of Dam Foundation
This research aims to predict the grouting method to decrease the Lugeon value on the dam foundation. The methodology consisting of grouting is evaluated by comparing the first permeability (permeability before grouting) and secondary permeability (permeability after grouting). Grouting is critical in improving the dam foundation and reducing the permeability in Lugeon values. Because of the concealment and uncertainty of dam foundation grouting, the accurate evaluation of the quality of grouting construction has become a major concern. The effectiveness of the grouting method for decreasing Lugeon values in the dam foundation has not been certainly revealed. The foundation of the dam with weathered lapilli tuff and gravelly sand is a typical porous weathered rock. The grouting was performed as a down-stage, in which the grout hole is drilled in stages using a pneumatic packer. The improvement of the dam foundation by grouting is evaluated by comparing the first permeability (permeability before grouting) and secondary permeability (permeability after grouting) by using Lugeon values with a water pressure test. This test employed 534 data, which included the first permeability, depth, grout take, and secondary permeability. This paper focuses on modeling to predict the secondary permeability. The result is developing the secondary permeability that considers the relation between the parameters, which can affect and represent the characteristics of grouting quality in the non-linear regression equation that is SP = FP – f(GT) in the depth conditions of 5, 10, 15, 20, 25, and 30 m. R-squared is the coefficient of determination. The R-squared value for depths of 5, 10, 15, 20, 25, and 30 m is 87.52%, 83.18%, 72.29%, 60.20%, 42.25%, and 30.03%. Thus, the results are applicable to assess the quality of curtain grouting.
Keywords: dam foundation, grouting, permeability, quality assessment, the nonlinear regression methods.
DOU J.X., ZHANG G.J., and ZHOU M.X. Curtain grouting experiment in a dam foundation: case study with the main focus on the Lugeon and grout take tests. Bulletin of Engineering Geology and the Environment, 2020, 79: 4527-4547. https://doi.org/10.1007/S10064-020-01865-0
YANG J., ZHAO L., SHEN Z., GAN L., and XU L. An efficient procedure for optimization design of anti-seepage curtains: A case study. Bulletin of Engineering Geology and the Environment, 2021, 80: 2671-2685. https://doi.org/10.1007/S10064-020-02070-9
ZADHESH J., RASTEGAR F., SHARIFI F., AMINI H., and NASIRABAD H.M. Consolidation grouting quality assessment using Artificial Neural Network (ANN). Indian Geotechnical Journal, 2014, 45(2): 136-144. DOI: 10.1007/S40098-014-0116-4
MESHREF N.A., and SHEHATA S.A. Systematic Decision Support System to select methods of grouted base plug construction: comparative study between TaM versus Multi-Sleeve Injection. Springer Nature Switzerland AG, 2020.
PAULATO E., and CARSTENSEN S. Rock grouting in Copenhagen limestone – The Cityringen Experience. Procedia Engineering, 2017, 191: 719-728. DOI: 10.1016/j.proeng.2017.05.237.
WANG C., LI X.F., XIONG Z.Q., WANF C., SU C.D., and ZHANG Y.H. Experimental study on the effect of grouting reinforcement on the shear strength of a fractured rock mass. PLOS One, 2019, 14(8): 13. https://doi.org/10.1371/Journal.Pone.0220643
ZHU Y., WANG X., DENG S., ZHAO M., and AO X. Evaluation of curtain grouting efficiency by cloud model - based fuzzy comprehensive evaluation method. KSCE Journal of Civil Engineering, 2019, 23(7): 2852-2866. DOI: 10.1007/S12205-019-0519-Y
ABDOLLAHISHARIF J., and BAKHTAVAR E. Using geo-statistical simulation to determine optimal grout injection pressure in dam foundation based on geo-mechanical Characteristics. Bulletin of Engineering Geology and the Environment, 2018, 78: 2253-2266. https://doi.org/10.1007/S10064-018-1289-3
LASHKARIPOUR G.R., RASTEGARNIA A., and GHAFOORI M. Assessment of brittleness and empirical correlations between physical and mechanical parameters of the Asmari limestone in Khersan 2 dam site, in Southwest of Iran. Journal of African Earth Sciences, 2018, 138: 124-132. https://doi.org/10.1016/J.Jafrearsci.2017.11.003
HOSSEINY S.M., KOCH P.D., and ASHJARI J. Evaluating permeability and grout-ability at the Karun 4 dam Iran using Lugeon values and grout take. In: The 85th Annual Meeting of International Commission on Large Dams (ICOLD), 2017, Prague, Czech Republic.
QUIÑONES-ROZO C. Lugeon test interpretation, revisited. In: Collaborative Management of Integrated Watersheds, US Society of Dams, 30th Annual Conference, 2010: 405-414. https://docplayer.net/25781402-Lugeon-test-interpretation-revisited-camilo-quinones-rozo-p-e-1-abstract.html
- There are currently no refbacks.