Application of experimental design and optimization to PFC model calibration in uniaxial compression simulation

By J. Yoon. 2007

553 citations recorded by the source corpus.

Subfields: Computational Mechanics, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/79c386552e0758015c8075406e57893568d07a9e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Shunchuan Wu
2. Xueliang Xu
3. Hongyang Cheng
4. Klaus Thoeni
5. T. Shuku
6. Haruyuki Yamamoto
7. C. Teh
8. M. Blümel

In Mechanical Engineering

1. Shunchuan Wu
2. Xueliang Xu
3. C. Teh
4. M. Blümel
5. V. Sarfarazi
6. Tohid Kazerani
7. Xiao-Ping Zhang
8. Xiaobin Ding

In Mechanics of Materials

1. Xiaoping Zhou
2. Xiao-Ping Zhang
3. Q. Qian
4. Shunchuan Wu
5. Lianyang Zhang
6. L. N. Wong
7. J. Bi
8. Xiaobin Ding

Citations in the corpus

• Influence of grain size heterogeneity on strength and microcracking behavior of crystalline rocks (2017, background): “Many studies have been conducted to examine the relationship between microparameters and macroproperties which can serve as guidance for the selection of parameters for a specific rock type [Fakhimi and Villegas, 2007;Weng and Li, 2012; Yoon, 2007].”
• An experimental and numerical study of fracture coalescence in pre-cracked specimens under uniaxial compression (2011, unknown): “(Jong and Lee, 2006; Yoon, 2007).”
• Cracking Processes in Rock-Like Material Containing a Single Flaw Under Uniaxial Compression: A Numerical Study Based on Parallel Bonded-Particle Model Approach (2011, background): “The particle friction coefficient has no or very small effect on uniaxial compressive strength, Young’s modulus, Poisson’s ratio, Brazilian tensile strength, crack initiation stress (Yoon 2007) and the ratio of tensile strength to compressive strength (Potyondy and Cundall 2004; Cho et al. 2007).”
• The 3D Numerical Simulation for the Propagation Process of Multiple Pre-existing Flaws in Rock-Like Materials Subjected to Biaxial Compressive Loads (2016, methodology): “The particle flow code (PFC) is a type of DEM, which is commercially available and is currently applied to solve crack problems (Yoon 2007; Lee and Jeon 2011; Zhang and Wong 2012).”
• A Bonded Particle Model Simulation of Shear Strength and Asperity Degradation for Rough Rock Fractures (2012, methodology): “It is noted however that there are few difficulties which need be considered (Itasca Consulting Group 2008; Yoon 2007).”
• A Methodical Calibration Procedure for Discrete Element Models (2017, methodology): “Yoon [11] 26 uses response surface analysis and a Plackett–Burman experimental design to identify suitable parameters 27 to simulate uniaxial compression of bonded rock.”
• Distinct element method simulation of an analogue for a highly interlocked, non-persistently jointed rockmass (2014, methodology): “Yoon [25], Wang and Tonon [23,26] developed methodologies for calibrating 2D and 3D BPMs based on optimization process, and by obtaining relationships between micro-properties and macro-properties through parameter sensitivity analysis.”
• Micromechanical parameters in bonded particle method for modelling of brittle material failure (2010, methodology): “Yoon [20] proposed a statistical approach for calibrating micro-parameters to fit material macro-properties, excluding tensile strength.”
• Probabilistic calibration of discrete element simulations using the sequential quasi-Monte Carlo filter (2018, methodology): “Yoon [54] developed a two-step optimization process in which a DOE method (Plackett–Burman design) was first applied to select the parameters that have the largest impacts on macroscopic material properties.”