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A microstructure-guided constitutive modeling approach for random heterogeneous materials: Application to structural binders

机译:随机异质材料的微结构指导本构建模方法:在结构粘合剂中的应用

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This paper presents a microstructure-guided modeling approach to predict the effective elastic response of heterogeneous materials, and demonstrates its application toward two highly heterogeneous, unconventional structural binders, i.e., iron carbonate and fly ash geopolymer. Microstructural information from synchrotron X-ray tomography (XRT) and intrinsic elastic properties of component solid phases from statistical nanoindentation are used as the primary inputs. The virtual periodic 3D microstructure reconstructed using XRT, along with periodic boundary conditions is used as a basis for strain-controlled numerical simulation scheme in the linear elastic range to predict the elastic modulus as well as the stresses in the microstructural phases. The elastic modulus of the composite material predicted from the microstructure-based constitutive modeling approach correlates very well with experimental measurements for both the materials considered. This technique efficiently links the microstructure to mechanical properties of interest and helps develop material design guidelines for novel heterogeneous composites. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文提出了一种微结构指导的建模方法,以预测异质材料的有效弹性响应,并展示了其对两种高度异质,非常规结构粘合剂即碳酸铁和粉煤灰地质聚合物的应用。来自同步加速器X射线断层扫描(XRT)的微观结构信息和来自统计纳米压痕的组分固相的固有弹性特性被用作主要输入。使用XRT重建的虚拟周期性3D微观结构以及周期性边界条件,被用作线性弹性范围内的应变控制数值模拟方案的基础,以预测弹性模量以及微观结构相中的应力。从基于微观结构的本构模型方法预测的复合材料的弹性模量与所考虑的两种材料的实验测量值都非常相关。该技术有效地将微观结构与感兴趣的机械性能联系起来,并有助于开发新型异质复合材料的材料设计指南。 (C)2016 Elsevier B.V.保留所有权利。

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