|
| Uncertainty analysis of creep deformation of compacted loess considering parameters randomness |
| Received:August 15, 2022 Revised:October 11, 2022 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20220815001 |
| KeyWord:compacted loess creep improved Merchant model engineering prediction randomness |
| Author | Institution |
| 胡长明 |
西安建筑科技大学 土木工程学院, 西安 |
| 汪芳芳 |
西安建筑科技大学 土木工程学院, 西安 |
| 朱武卫 |
陕西省建筑科学研究院有限公司, 西安 |
| 袁一力 |
西安建筑科技大学 土木工程学院, 西安 |
| 杨晓 |
陕西省建筑科学研究院有限公司, 西安 |
| 柳明亮 |
陕西省建筑科学研究院有限公司, 西安 |
|
| Hits: 214 |
| Download times: 188 |
| Abstract: |
| The calculated value of existing creep model is a deterministic value,which fails to consider the randomness in the evaluation process of geotechnical materials and parameters.To reflect the random deformation characteristics of geotechnical materials,this paper studied the creep characteristics of compacted loess under graded and separate loading conditions based on repeated 1D compression creep tests.An improved Merchant model considering parameter randomness was established.An uncertainty prediction method for creep deformation was proposed and verified by a high-fill project in Yan’an.The results show that the compacted loess has obvious decaying creep characteristics.The Merchant model with nonlinear elements can better describe the strain-time relationship of the soil.The calculated value of the model considering parameter randomness approximately obeys the normal distribution.The uncertainty prediction method can obtain the probability cloud map of the creep deformation value,and the measured creep deformation value of the project falls within the 95% confidence interval of the predicted range.This shows that the creep deformation uncertainty prediction method considering parameter randomness is effective. |