缩放比例
比例(比率)
计算机科学
中尺度气象学
匹配(统计)
缩小
流离失所(心理学)
机械
数学
地质学
几何学
物理
统计
量子力学
气候学
程序设计语言
心理治疗师
心理学
作者
Mohammed Alnaggar,Gianluca Cusatis
标识
DOI:10.1061/9780784412374.036
摘要
In this study, the analysis of reinforced concrete structures is performed by adopting a coarse-grained approximation of a recently developed meso-scale model for concrete, the Lattice Discrete Particle Model (LDPM). The coarse-grained system is obtained by scaling the particle size with a "coarsening factor" .. > 1. The coarse system cannot reproduce all aspects of the mechanics of the fine system, consequently, the coarse-scale model parameters need to be calibrated from the behavior of the fine-scale system by matching some aspects, e.g. the macroscopic stress-strain/load-displacement curves under different loading conditions, of the fine scale response. The coarse-scale parameters are optimized by the least-square minimization procedure. The effectiveness of the procedure is verified by comparing full fine-scale solutions and coarse-grained solutions for cases of interest in which the full meso-scale problem can be actually solved.
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