a Department of Mining Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran
b School of Earth Sciences, Damghan University, Damghan, Iran
2023, 15(6): 1580-1590. doi:10.1016/j.jrmge.2022.09.007
Received: 2022-05-09 / Revised: 2022-07-17 / Accepted: 2022-09-15 / Available online: 2022-10-17
2023, 15(6): 1580-1590.
doi:10.1016/j.jrmge.2022.09.007
Received: 2022-05-09
Revised: 2022-07-17
Accepted: 2022-09-15
Available online: 2022-10-17
This research aims to develop a methodology for applying the geostatistical method to generate a groutability classification for granular soils. To ensure the precision of the suggested technique, a total of 103 data samples were used. Predicting the groutability of granular soils has always been difficult because of many soil characteristics. As a result, a new two-dimensional graph, the groutability classification of granular soil (GCS) chart, was developed. GCS establishment was based on data analysis of the grain size of soil and cement-based grouts (N1 and N2), relative density (Dr) and fines content of the soil (FC), water/cement ratio of grout mixture (w/c), and grouting pressure (P), all of which have a direct impact on the groutability of soil media. The geostatistical method was used to develop and compile the GCS graph based on the aforementioned parameters with the use of coefficient S, which is a coefficient of the scoring set of parameters including P, w/c, Dr, and FC. The validation process was carried out hierarchically, with an additional set of 30 data. The proposed method has a prediction accuracy of roughly 96.7%, demonstrating a helpful tool. The proposed approach can be easily implemented in practical engineering situations because it has a comparable syntax to commonly used formulae. It should be noted that the proposed formula was only tested using the data samples collected, and the applicability of the produced procedure to other situations requires more examination.
Keywords: Prediction, Groutability, Classification, Groutability classification of granular soil (GCS)
Hadi Farhadian
Dr. Hadi Farhadian is presently working as an Assistant Professor of Mining Engineering at the University of Birjand, Iran. He obtained his MSc and PhD degrees in Mining Engineering from the Amirkabir University of Technology (Tehran Polytechnics), Iran. As a visiting scientist, he continued his studies on groundwater systems at the Institute of Geology and Paleontology, Applied and Environmental Geology, University of Basel, Switzerland. His research interests include: (1) water inflow modeling into fractures and porous media, (2) geological hazards (squeezing, rockburst and swelling, debris flows, etc.), (3) physical effects on the mechanical behavior of rocks, (4) development of analytical and imperial methods in prediction of geotechnical phenomena, and (5) geotechnical injections into rock masses and sustainable ground improvement techniques. He is a scientific reviewer of more than 15 international journals, a director of innovation & entrepreneurship center at the university as well as a member of the Iranian Mining Engineering Organization and collaborates with the industry in Iran as a mining consultant.