Robustness Indicators for Design Optimization Based on EDEM-ADAMS Co-simulation

WANG Yasheng

doi:10.19554/j.cnki.1001-3563.2025.24.006

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Packaging Engineering ›› 2025, Vol. 46 ›› Issue (24) : 58-69. DOI: 10.19554/j.cnki.1001-3563.2025.24.006

Special Subject: Design of National Defense Equipment

Robustness Indicators for Design Optimization Based on EDEM-ADAMS Co-simulation

WANG Yasheng^*

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Abstract

During rock tunnel excavation by tunnel boring machines (TBMs), the cutting head often vibrates severely under high loads, impairing overall operational performance. In the design optimization of cutting heads, the accuracy and computational efficiency of the cutting force simulation of cutting heads are key indicators to equipment structure optimization and performance evaluation. The work aims to propose a novel robustness indicator for design optimization by integrating simulation data with a multi-objective optimization approach, so as to improve the accuracy and robustness of the simulation model during the cutting head design process. Cutting force and simulation time data were collected from simulations under different environments and EDEM-ADAMS step combinations. A radial basis function (RBF) neural network surrogate model was built, and the NSGA-Ⅱ algorithm was integrated for multi-objective iterative optimization. A coordination indicator was innovatively introduced to resolve cutting force inconsistency caused by physical differences, obtaining high-performance step combinations. While keeping computational efficiency basically unchanged, the proposed method reduced relative error by 25.9% and coordination indicator by 57.3%, improved cutting force prediction consistency under multi-environment conditions, and better conformed to cutting mechanics laws. The effectiveness of the coordination indicator was further validated through ablation experiments. The coordination indicator enhances the cutting force prediction accuracy and physical interpretability of the model, providing an evaluation framework for tunneling equipment simulation parameter optimization under complex conditions, and offering theoretical support and engineering reference for digital design and performance improvement of TBM cutting systems in plateau and complex geological environments.

Key words

design optimization / coordination indicator / multi-objective optimization / co-simulation

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WANG Yasheng. Robustness Indicators for Design Optimization Based on EDEM-ADAMS Co-simulation[J]. Packaging Engineering. 2025, 46(24): 58-69 https://doi.org/10.19554/j.cnki.1001-3563.2025.24.006

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