4.5 Article

A fractional non-linear creep model for coal considering damage effect and experimental validation

期刊

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijnonlinmec.2015.05.004

关键词

Fractional derivative; Visco-elastic-plastic behavior; Accelerating creep deformation; Damage effect; Coal

资金

  1. National Natural Science Foundation of China [11402293]
  2. China Postdoctoral Science Foundation [2014M560458]
  3. Fundamental Research Funds for the Central Universities [2014QNA03]
  4. Program for Changjiang Scholars and Innovative Research Team in University [IRT13098]
  5. Jiangsu Innovation and Entrepreneurship Program
  6. Priority Academic Program Development of Jiangsu Higher Education Institutions
  7. Qing Lan Project of Jiangsu Province

向作者/读者索取更多资源

Accurate prediction of coals creep behavior is of great significance to coalbed methane extraction. In this study, taking into account the visco-elastic-plastic characteristics and the damage effect, a fractional non-linear model is proposed to describe the creep behavior of coal. The constitutive and creep equations of the proposed fractional non-linear model are derived via the Boltzmann superposition principle and discrete inverse Laplace transform. Furthermore, uniaxial creep tests under different axial stress conditions were carried out to validate the proposed model. It is found that the present model can describe the experimental data from creep tests with better accuracy than classical models. Particularly, the present model can predict the accelerating creep deformation of coal which classical models fail to reproduce. Finally, the parametric sensitivity analysis is performed to investigate the effects of model parameters on the creep strain. It is verified that the introduction of fractional parameters and damage factor in the present model is essential to accurate prediction of the full creep stage of coal. (C) 2015 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据