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| Markov grey residual model for predicting strength of cement Pisha sandstone |
| LIU Xin1,2, SHEN Xiangdong1*, JING Yu2, REN Jie3, LYV Xin2, GENG Kaiqiang1 |
| 1. College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mangolia 010018, China; 2. Department of Civil Engineering, Ordos Institute of Technology, Ordos, Inner Mangolia 017010, China; 3. Construction Project Quality Supervision Station, Ordos City Housing and Urban-Rural Development Bureau, Ordos, Inner Mangolia 017010, China |
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Abstract In order to study the accuracy and applicability of Markov-grey residual GM(1,1)model in predicting compressive strength of cement pisha sandstone, after a series of processings of compressive strength data, the grey GM(1,1)model and grey residual GM(1,1)model were established. Then the Markov-grey residual GM(1,1)model was constructed based on the Markov process, and the compressive strength of cement-cured pasha sandstone was estimated by this model. The results show that the test accuracy of the grey residual GM(1, 1)model is greatly improved and all the test indexes basically reach level 1, which is obviously better than that of the grey GM(1, 1)model. The Markov process is convenient to determine the positive and negative signs of residual correction, and then the compressive strength of cement solidified Pisha sandstone with different cement contents at 90 days was predicted by the Markov- grey residual GM(1,1)model. The relative error is reduced from 1.77%~4.01% to 0.60%~2.36%, and the average relative error is reduced from 2.63% to 1.25%. The prediction accuracy of the model is improved obviously. This study can provide a simple and reliable new method and way for predicting the compressive strength of cement-cured Pisha sandstone and other cement-based engineering materials.
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Received: 22 April 2021
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