Parameter Checking Method of Large Scale Particle Model
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ORIGINAL PAPER
Parameter Checking Method of Large Scale Particle Model Chao Peng . Wanrong Liu . Zhen Wang
Received: 1 July 2020 / Accepted: 16 September 2020 Ó Springer Nature Switzerland AG 2020
Abstract As one of the popular discrete element numerical software, the selection of parameters of particle flow code directly affects the numerical results, especially for large-scale models. In the past, the calibration of parameters was based on the scale of laboratory test, and the scale effect of rock was ignored. In this paper, based on the trial and error method, the parameter checking method of large-scale models was proposed firstly, and then the method are checked through a large tunnel model tests. The research result show that the mechanical strength of the research large models will be increased by directly using the parameters checked by the small model, and the impact on the failure mode is also greater, but the impact on the elastic model is not great. It is of great significance to obtain the parameters of the large model by using the step-by-step checking method.
C. Peng School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China e-mail: [email protected] W. Liu (&) Liaocheng University, Liaocheng 252059, China e-mail: [email protected] Z. Wang School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China e-mail: [email protected]
Keywords Particle flow code Large-scale models Calibration of parameters Step-by-step checking method
1 Introduction Particle flow code (PFC) was established by Cundall and Strack in 1979 based on the discrete element method (Cundall and Strack 1979). The basic compositions of the PFC model are particles and bonds, and the geometrical and mechanical properties of the particles and bonds determined the macroscopic mechanical properties of the models. The particle is a disk in the two-dimensional model and a ball in the three-dimensional model. Particle flow code reflects the constitutive relationship of materials through contact constitutive model and the contact constitutive model including contact stiffness model, contact sliding model and bonding model (Itasca Consulting Group 2014). The contact stiffness model defines the elastic relationship between the contact force and relative displacement of particles, and can be divided into linear model and simplified Hertz-Mindlin model. The contact sliding model mainly reflects the relationship between normal and tangential contact forces. Under this model, two particles in contact are allowed to slide relatively. The bonding model specifies the maximum normal and shear forces that the particles can bear. The bonded contact constitutive model was
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Geotech Geol Eng
widely used in numerical simulation of rock and soil materials (Zhang and Wong 2012; Castro-Filgueira et al. 2017; Pourmand et al. 2018; Xiang et al. 2018). There are two kinds of modes of t
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