Optimization Inversion of the Micro-Properties of Bonded Particle Model in PFC Based on the Asynchronous Particle Swarm Algorithm

Lei Xu; Qing Wen Ren

doi:10.4028/www.scientific.net/AMR.1082.240

Paper Titles

Solving Internal Forces of Piles of Jointless Bridges under the Action of Temperature Using Ordinary Differential Systems
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New Knowledge in the Field of Reduction of Shear Stress in the Foundation Structures of Concrete or Masonry Structures
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Verification of the Feasibility and Load Carrying Capacity of Models of Bored Concrete Piles
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Study of the Cracking Resistance Assessment of Concrete Based on the Anti-Cracking Safety Coefficient Method
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Optimization Inversion of the Micro-Properties of Bonded Particle Model in PFC Based on the Asynchronous Particle Swarm Algorithm
p.240

Physical Model Testing of Wind Effect on the High-Rise
p.246

Eхреrimental Study of Aerodynamic Loads on High-Rise Buildings
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The Research of Waterproof Used on Mudstone
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Realization of Optional Method of Determining the Concrete's Freeze-Thaw Resistance with Help of Dilatometer
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1082Optimization Inversion of the Micro-Properties of...

Optimization Inversion of the Micro-Properties of Bonded Particle Model in PFC Based on the Asynchronous Particle Swarm Algorithm

Abstract:

The calibration of micro-properties of bonded particle model (BPM) is usually artificially accomplished by the means of trial and error which has some intrinsic drawbacks such as high time consumption, arbitrariness, uncontrolled accuracy, etc. In order to overcome these shortcomings, the optimization inversion method based on the asynchronous particle swarm algorithm is proposed to estimate the micro-properties of BPM in PFC. The optimization model is firstly established by formulating the objective function and related constraint conditions, and then the procedure of optimization inversion is presented. Furthermore, a FORTRAN program called PIBPM is developed for the realization of the proposed method. The feasibility of the proposed method and the correctness of PIBPM are verified through an application example.

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Periodical:

Advanced Materials Research (Volume 1082)

Pages:

240-245

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1082.240

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Online since:

December 2014

Authors:

Lei Xu*, Qing Wen Ren

Keywords:

Asynchronous Particle Swarm Algorithm, Micro-Properties, Optimization Inversion, PFC

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References

[1] D. O. Potyondy, P. A. Cundall, A Bonded-particle Model for Rock, International Journal of Rock Mechanics & Mining Sciences, Vol. 41 (2004) 1329–1364.

DOI: 10.1016/j.ijrmms.2004.09.011

Google Scholar

[2] M. S. Asadi, V. Rasouli, Barla G, A Bonded Particle Model Simulation of Shear Strength and Asperity Degradation for Rough Rock Fractures, Rock Mechanics and Rock Engineering, Vol. 32 (2012) 649–675.

DOI: 10.1007/s00603-012-0231-4

Google Scholar

[3] J. W. Park, J. J. Song, Numerical Simulation of A Direct Shear Test on A Rock Joint Using a Bonded-Particle Model, International Journal of Rock Mechanics & Mining Sciences, Vol. 46 (2009) 1315–1328.

DOI: 10.1016/j.ijrmms.2009.03.007

Google Scholar

[4] L. Xu, T. J. Zhang, Development of Automatic System for Inversion of Mechanical Parameters and Advanced Prediction of Mechanical Response of Surrounding Rock of Underground Cavern in the Period of Construction, Chinese Journal of Sichuan University (Engineering Science Edition), Vol. 45 6 ( 2013) 51-57.

Google Scholar