设计优化中基于EDEM-ADAMS协同仿真的稳健性指标研究

王亚胜

doi:10.19554/j.cnki.1001-3563.2025.24.006

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包装工程（设计栏目） ›› 2025, Vol. 46 ›› Issue (24) : 58-69. DOI: 10.19554/j.cnki.1001-3563.2025.24.006

专题:国防装备设计

设计优化中基于EDEM-ADAMS协同仿真的稳健性指标研究

王亚胜^*

作者信息 +

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

WANG Yasheng^*

Author information +

文章历史 +

摘要

目的隧道掘进机在岩石隧道的开挖过程中,截割头高载荷条件下往往会产生剧烈振动,影响整体作业性能。针对截割头的设计优化中,截割头切削力仿真的准确性与计算效率是重要的指标,本文通过结合仿真数据与多目标优化算法方法,在设计优化中提出一种新的稳健性指标,实现截割头设计优化过程中仿真模型的精度和稳健性提升。方法通过收集在不同环境和 EDEM-ADAMS步长组合下仿真得到的切削力与仿真时间数据,构建径向基（RBF）神经网络近似模型并结合NSGA-Ⅱ算法进行多目标迭代优化,创新性地引入协调性指标解决切削力之间因物理差异导致的非一致性问题,获得性能优异的步长组合。结果本研究优化方法在保持计算效率基本不变的情况下,使相对误差降低了25.9%,协调性指标降低了57.3%,改善了在多环境条件下对切削力的预测一致性,更加符合切削力学规律,并通过消融实验验证了协调性指标的有效性。结论协调性指标的引入提升了模型对切削力的预测精度与物理解释性,为复杂工况下掘进装备的仿真参数优化提供了一种新的评价框架,为后续高原及复杂地质条件下隧道掘进机截割系统的数字化设计与性能改进提供理论支持与工程参考。

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.

导出引用1

王亚胜. 设计优化中基于EDEM-ADAMS协同仿真的稳健性指标研究[J]. 包装工程. 2025, 46(24): 58-69 https://doi.org/10.19554/j.cnki.1001-3563.2025.24.006

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

中图分类号： TB472

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