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Numerical modeling and analysis of ECC structures

delete2012-08-03
delete52
PRE
AI
B
Bora Gencturk *
A
Amr S. Elnashai
DOI:10.1617/s11527-012-9924-0delete
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摘要

摘要

En 中文
The objective of this paper is to develop a tool for the numerical analysis of full-scale ECC structures. For this purpose, a macroscopic cyclic constitutive model for engineered cementitious composite (ECC) materials is developed based on the response of the material at the stress-strain level under different loading regimes. Various features specific to ECC material such as the unloading and reloading characteristics, different backbone curves in tension and compression, and residual strains are taken into account in the model development. The input parameters are limited to those that can be obtained from conventional monotonic compression and tension tests, thus facilitating its use with minimum information. The model is first validated at the stress-strain level and then implemented into fiber-based finite element analysis software for structural level simulation. The results from simulation of ECC members under cyclic and static time history loading are compared to experimental data for model validation at the structural level. Finally, a parametric study is conducted at the member level to investigate the effect of ECC tensile strength and ductility on the structural level response metrics: stiffness, strength, ductility, and energy dissipation capacity. It is observed that the structural level response metrics change considerably depending on the material properties. With its sensitivity to the main behavioral features of ECC, its simplicity, and its sufficient accuracy, the model is suited for use in predicting the behavior of ECC structures under monotonic, cyclic, and dynamic loading scenarios.
Keyword:
ECC
Constitutive model
Fiber-based finite element modeling
Stiffness
Strength
Ductility
Energy dissipation
Parametric study

期刊

M
Materials and Structures
IF:
3.9
论文数:
4.4K
被引数:
1.7W

机构

U
university of houston system
学者数:
1.4W
论文数: 1.4W
被引数: 16
U
university of houston
学者数:
9.7K
论文数: 7.9K
被引数: 11
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