Optimized differential evolution algorithm for solving DEM material calibration problem

Ji, Songtao; Karlovšek, Jurij

doi:10.1007/s00366-021-01564-8

Cited by 13 publications

(13 citation statements)

References 49 publications

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“…In recent years, with the development of DEM models and computational resources, DEMs have been used by scholars to study the crack/damage behavior of the coal pillar [18][19][20]. Zhu et al [21] used PFC to study the deformation characteristics, failure behavior, and stress distribution of the combined support column (CSP) of the residual coal pillar and filling body, and evaluated its stability.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation Study on Mechanical Characteristics and Width Optimization of Narrow Coal Pillar in Gob-Side Coal Seam Tunnel

Zhao

Zhang

et al. 2022

Sustainability

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To investigate the influence of coal pillar width on the stress variation of narrow coal pillar (NCP) in the gob-side tunnel in an inclined thick coal seam, theoretical analysis, numerical modeling, and field monitoring are performed to determine the optimal width of the narrow coal pillars in inclined coal seams. The mechanical characteristics of the NCP for varying widths were investigated. Furthermore, vertical and horizontal stress were calculated for various widths of the NCP. The results revealed that with the rise in the width, the vertical stress initially increased dramatically and then stabilized, whereas the mean horizontal stress increased gradually. The mathematical relation between stress and NCP widths was represented by two fitting equations. The evolution process of the plastic zone in the NCP under various widths and the damage form of various widths were obtained; that is, when the width was small, the position of the roadway near the shoulder corner of NCP was inclined to the top of NCP. The field monitoring data revealed that the optimum NCP width was 4 m. This NCP width could stabilize the roadway and improve the loss prevention of the NCP at the gob-side tunnel of similar mines.

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Section: Introductionmentioning

confidence: 99%

Numerical Simulation Study on Mechanical Characteristics and Width Optimization of Narrow Coal Pillar in Gob-Side Coal Seam Tunnel

Zhao

Zhang

et al. 2022

Sustainability

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“…While some parameters operate independently, others are intricately interlinked. As a result, designating a crossover strategy for DEM calibration does not squarely fit into traditional lower or upper crossover frameworks 22 . Therefore, in this study, 70% of the generated population will be created by crossover.…”

Section: Methodsmentioning

confidence: 99%

“…The Levenberg–Marquardt method, known for its aptitude in residual minimization 17 , is complemented by techniques such as the Nelder-Mead simplex 18 and the weighted least squares approach 19 . Other prominent strategies include the Gauss–Newton algorithm 20 , enhanced simulated annealing algorithm 21 , Differential Evolution (DE) algorithm 22 , and Particle Swarm Optimization (PSO) 23 . Notably, genetic algorithms have gained traction, highlighting the wide array of computational approaches leveraged in this field 16 , 23 , 24 .…”

Section: Introductionmentioning

confidence: 99%

“…The experimental basis of our research is fortified by the insights from 34 , providing a deep dive into the interfacial bond strength of colored SCC repair layers. By integrating such foundational data with cutting-edge numerical methodologies, as exemplified by the differential evolution calibration method by 22 , our research stands at the nexus of traditional experimentation and contemporary computational techniques.…”

Section: Introductionmentioning

confidence: 99%

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Multi-objective genetic algorithm calibration of colored self-compacting concrete using DEM: an integrated parallel approach

Shafaie,

Movahedi Rad

2024

Sci Rep

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A detailed numerical simulation of Colored Self-Compacting Concrete (CSCC) was conducted in this research. Emphasis was placed on an innovative calibration methodology tailored for ten unique CSCC mix designs. Through the incorporation of multi-objective optimization, MATLAB's Genetic Algorithm (GA) was seamlessly integrated with PFC3D, a prominent Discrete Element Modeling (DEM) software package. This integration facilitates the exchange of micro-parameter values, where MATLAB’s GA optimizes these parameters, which are then input into PFC3D to simulate the behavior of CSCC mix designs. The calibration process is fully automated through a MATLAB script, complemented by a fish script in PFC, allowing for an efficient and precise calibration mechanism that automatically terminates based on predefined criteria. Central to this approach is the Uniaxial Compressive Strength (UCS) test, which forms the foundation of the calibration process. A distinguishing aspect of this study was the incorporation of pigment effects, reflecting the cohesive behavior of cementitious components, into the micro-parameters influencing the cohesion coefficient within DEM. This innovative approach ensured significant alignment between simulations and observed macro properties, as evidenced by fitness values consistently exceeding 0.94. This investigation not only expanded the understanding of CSCC dynamics but also contributed significantly to the discourse on advanced concrete simulation methodologies, underscoring the importance of multi-objective optimization in such studies.

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“…The method is automatically implemented, thereby avoiding the laborious and time-consuming manual operation, and showing considerable potential for practical applications. Ji 72,73 proposed an optimized differential evolution calibration method that automatically calibrates the microscopic parameters to the target macroscopic parameters. Simulation experiments demonstrated that the macroscopic parameters, such as Young's modulus, Poisson's ratio, uniaxial compressive strength, and direct tensile strength, can be calibrated with a relative error of less than 5% .…”

Section: Evolutionary Algorithms Methodsmentioning

confidence: 99%

A Review of Calibration Strategies for Microscopic Parameters in Discrete Element Method

Liu

Wang

et al. 2023

Preprint

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Discrete element method (DEM) offers a distinct advantage in addressing fracture problems due to its exemption from partial differential equations. However, the governing equations of DEM incorporate microscopic parameters that cannot be accessed via experimental methods. Parameter calibration represents the most prevalent technique currently utilized to obtain the required microscopic parameters for DEM. This article initially introduces the development history of DEM calibration, then elaborates on the governing equations of DEM and the microscopic parameters required for calibration. Next, the principles of classical DEM calibration methods are explicated in detail, alongside the validation and discussion of their properties. Lastly, this study investigates the model dependence of DEM and presents guidance for the calibration application of large-scale simulations.

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Optimized differential evolution algorithm for solving DEM material calibration problem

Cited by 13 publications

References 49 publications

Numerical Simulation Study on Mechanical Characteristics and Width Optimization of Narrow Coal Pillar in Gob-Side Coal Seam Tunnel

Numerical Simulation Study on Mechanical Characteristics and Width Optimization of Narrow Coal Pillar in Gob-Side Coal Seam Tunnel

Multi-objective genetic algorithm calibration of colored self-compacting concrete using DEM: an integrated parallel approach

A Review of Calibration Strategies for Microscopic Parameters in Discrete Element Method

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