期刊
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME
卷 83, 期 1, 页码 -出版社
ASME
DOI: 10.1115/1.4031619
关键词
model calibration; variable-fidelity; discrete element method; continuum constitutive model; granular materials; optimization; fabric dilatancy
类别
资金
- Army Research Office [W911NF-14-1-0658, W911NF-15-1-0581]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1462760] Funding Source: National Science Foundation
This work presents a new staggered multilevel material identification procedure for phenomenological critical state plasticity models. The emphasis is placed on cases in which available experimental data and constraints are insufficient for calibration. The key idea is to create a secondary virtual experimental database from high-fidelity models, such as discrete element simulations, then merge both the actual experimental data and secondary database as an extended digital database (EDD) to determine material parameters for the phenomenological macroscopic critical state plasticity model. The calibration procedure therefore consists of two steps. First, the material parameters of the discrete (distinct) element method (DEM) simulations are identified via the standard optimization procedure. Then, the calibrated DEM simulations are used to expand the experimental database with new simulated loading histories. This expansion of database provides additional constraints necessary for calibration of the phenomenological critical state plasticity models. The robustness of the proposed material identification framework is demonstrated in the context of the Dafalias-Manzari plasticity model.
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。
推荐
暂无数据