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Aalianvari, Ali, Masoudi, Majid, Ebrahimi, Javad. (1405). Field-Based Assessment of Analytical and Statistical Grout Take Models: Case Studies. , (), -. doi: 10.22077/jgm.2026.10549.1064
Ali Aalianvari; Majid Masoudi; Javad Ebrahimi. "Field-Based Assessment of Analytical and Statistical Grout Take Models: Case Studies". , , , 1405, -. doi: 10.22077/jgm.2026.10549.1064
Aalianvari, Ali, Masoudi, Majid, Ebrahimi, Javad. (1405). 'Field-Based Assessment of Analytical and Statistical Grout Take Models: Case Studies', , (), pp. -. doi: 10.22077/jgm.2026.10549.1064
Aalianvari, Ali, Masoudi, Majid, Ebrahimi, Javad. Field-Based Assessment of Analytical and Statistical Grout Take Models: Case Studies. , 1405; (): -. doi: 10.22077/jgm.2026.10549.1064

Field-Based Assessment of Analytical and Statistical Grout Take Models: Case Studies

Journal of Geomine
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 21 اردیبهشت 1405
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22077/jgm.2026.10549.1064
نویسندگان
Ali Aalianvari* 1؛ Majid Masoudi2؛ Javad Ebrahimi3
1Department of Mining and Environmental Engineering, Faculty of Engineering, Tarbiat Modares University, Tehran, Iran; ali_aalianvari@kashanu.ac.ir
23. Department of Civil Engineering, Technical and Vocational University (TVU), Tehran, Iran.
3Department of Mining Engineering, Faculty of Engineering, University of Kashan, Kashan, Iran.
چکیده
Accurate estimation of cement take is crucial for the economic and efficient design of grout curtain in dam foundations. This research aimed to compare the accuracy of common analytical models and to develop new models based on real-world data, using information from grouting operations at Azad Kurdistan and Siah Bishe Dams. Initially, seven well-known analytical models (Johnson, Stille, Hassler, Lombardi, Håkansson, Bitobi, and Rastegarnia) were evaluated. The results indicated that the Hassler model, with relative errors of 6.8% and 12.9% for Azad and Siah Bishe dams, respectively, performed best among the analytical models. Subsequently, to enhance accuracy, regression analysis was employed using SPSS software. For the Azad dam, where a linear relationship was prevalent, a multiple linear regression model was developed, achieving an adjusted coefficient of determination (R²) of 0.985 and a Root Mean Square Error (RMSE) of 0.008. For the Siah Bishe dam, which exhibited nonlinear behavior, a third-degree multiple nonlinear regression model was developed, showing a coefficient of determination of 0.917 and an RMSE of 0.24. Finally, a comparison of the evaluation metrics confirmed the significant superiority of the developed statistical models over the best analytical model (Hassler). This study underscores the high capability of data-driven statistical approaches for predicting cement take based on field data.
کلیدواژه‌ها
Dam Sealing؛ Grouting؛ Cement Take؛ Analytical Models؛ Linear and Nonlinear Regression؛ Statistical Analysis
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