A Convergence-Based Correction Framework for Finite Effects in Tensile Lattice Structures

IF 3.3 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Kevin Moj, Grzegorz Robak, Robert Owsiński, Dawid Wachowski
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引用次数: 0

Abstract

The effective Young's modulus of periodic lattice structures is contingent not solely on topology and relative density, but also on the number of unit cells incorporated within the computational domain or specimen. This issue assumes particular significance in uniaxial tension, for which representativeness criteria are less well-defined than in compression. The present work proposes a convergence-based numerical framework for the quantitative description of finite effects and the correction of the effective Young's modulus determined for non-representative domains. The analysis was conducted for six periodic topologies, including three rod structures (BCC, Fluorite, Kelvin) and three TPMS-type structures (Fischer–Koch, Gyroid shell, Schwarz shell). The linear-elastic FEM simulations were performed for various relative densities and for cubic domains of N × N × N unit cells, with N from 1 to 12. It has been demonstrated that the convergence of the effective Young's modulus to the asymptotic value can be adequately described by an exponential model governed by a pair of parameters: the convergence length τ, which sets the decay rate, and the normalized amplitude α, which sets the magnitude of the initial deviation. Together they determine the minimum number of cells required for a given error level. On this basis, representativeness error maps and correction factor maps C(N, ρrel) were developed. These maps constitute a calibrated correction framework that allows the response of an underrepresented domain to be rescaled toward the asymptotic stiffness within the calibrated topology–density range, rather than an independent predictive model. A comparison with experimental tensile tests shows that the corrected predictions move closer to the measurements for most configurations. Direct simulations of elongated domains reveal, however, that a correction calibrated on isotropically scaled domains captures only a small part of the stiffness change produced by extending a specimen along the loading axis alone, so the framework is presented as a correction for isotropically scaled domains. At lower relative densities geometric deviations and manufacturing inaccuracies additionally contribute to the remaining discrepancy.

基于收敛的张力晶格结构有限效应修正框架
周期晶格结构的有效杨氏模量不仅取决于拓扑结构和相对密度,还取决于计算域或试样内包含的单元胞的数量。这个问题在单轴拉伸中具有特别的意义,因为单轴拉伸的代表性标准不如压缩的明确。目前的工作提出了一个基于收敛的数值框架,用于有限效应的定量描述和对非代表性域确定的有效杨氏模量的校正。对六种周期拓扑结构进行了分析,包括三种棒状结构(BCC、Fluorite、Kelvin)和三种tpms型结构(Fischer-Koch、Gyroid壳、Schwarz壳)。对N × N × N单元格(N = 1 ~ 12)的不同相对密度和立方域进行了线弹性有限元模拟。研究表明,有效杨氏模量收敛到渐近值的过程可以用一个由一对参数控制的指数模型来充分描述:收敛长度τ决定了衰减速率,归一化幅度α决定了初始偏差的大小。它们一起确定给定错误级别所需的最小单元数。在此基础上,绘制了代表性误差图和校正因子图C(N, ρrel)。这些地图构成了一个校准的校正框架,允许在校准的拓扑密度范围内将未充分代表的域的响应重新缩放到渐近刚度,而不是独立的预测模型。与实验拉伸试验的比较表明,修正后的预测更接近于大多数结构的测量值。然而,对拉长域的直接模拟表明,在各向同性尺度域上校准的校正仅捕获了沿加载轴单独拉伸试样所产生的刚度变化的一小部分,因此该框架被提出为各向同性尺度域的校正。在相对密度较低的情况下,几何偏差和制造误差也会导致剩余的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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