Regression Model for Predicting the Compressive and Tensile Strength of Reinforced Soil and Soil-cement | ||
| تحقیقات آب و خاک ایران | ||
| Article 6, Volume 47, Issue 3, November 2016, Pages 485-494 PDF (914.97 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.22059/ijswr.2016.59319 | ||
| Authors | ||
| Mozhde Lahoori* ; Mahmoud Babalar1; Ali Raeesi estabragh2; Sadegh Ranjbari3 | ||
| 1Tehran university college of agriculture and natural resources | ||
| 2پردیس کشاورزی و منابع طبیعی دانشگاه تهران | ||
| 3Tehran University | ||
| Abstract | ||
| In this research the effect of randomly reinforced soil and soil cement with different percent of cement and fiber and different length of fiber was investigated. Samples were prepared according to the maximum dry unit weight and optimum water content due to the corresponding compaction curves. Compressive and tensile strength were conducted on samples for different curing times. Regression equations were proposed based on the experimental data for prediction of the compressive and tensile strength of reinforced soil and soil cement. Comparison between the model predictions and the experimental results showed that the proposed model can predict the mechanical behavior of reinforced soil and soil cement satisfactory. | ||
| Keywords | ||
| Soil reinforcement; soil-cement-fiber; compressive strength; Tensile Strength; Regression model | ||
| References | ||
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