共 61 条
On the strength prediction of adhesively bonded FRP-steel joints using cohesive zone modelling
被引:62
作者:
Heshmati, Mohsen
[1
]
Haghani, Reza
[1
]
Al-Emrani, Mohammad
[1
]
Andre, Alann
[2
]
机构:
[1] Chalmers Univ Technol, Div Struct Engn, Dept Civil & Environm Engn, Gothenburg, Sweden
[2] Swerea SICOMP, Composite Struct, POB 104, SE-43122 Molndal, Sweden
关键词:
Cohesive zone modelling;
Interface fracture;
Crack growth;
Composites;
Fibre reinforced materials;
Civil engineering structures;
PULTRUDED GFRP JOINTS;
OF-THE-ART;
FAILURE CRITERIA;
FIBER COMPOSITES;
EPOXY ADHESIVES;
LAW ESTIMATION;
DESIGN-MODEL;
BEAMS;
FRACTURE;
CFRP;
D O I:
10.1016/j.tafmec.2017.06.022
中图分类号:
TH [机械、仪表工业];
学科分类号:
0802 ;
摘要:
The variety of failure modes that are likely to occur in fibre-reinforced polymer (FRP)/steel joints used in the construction industry adds to the complexity associated with the design of these joints. This variation in possible failure modes is mainly attributed to the lack of a controlled application environment and to rather insufficient quality assurance protocols and procedures. The use of energy-based methods such as, cohesive zone modelling (CZM), can be a solution to circumvent such complexities. This paper investigates a number of issues related to CZM analyses of FRP/steel adhesive joints using various test configurations and a comprehensive numerical study. Parameters such as the effect of shape and type of cohesive law, crack path location, length of damage process zone, variations of adhesive and FRP properties, and different failure modes including cohesive, interfacial debonding and FRP failure on the strength of joints are investigated. The results show that the behaviour of the tested joints is accurately predicted provided that the variation of failure modes are taken into account. Moreover, it is shown that the damage process zone in adhesive layer is directly proportional to the shape of cohesive laws. This feature can be employed in the design phase to ensure sufficient overlap length and to account for important inservice parameters such as temperature and moisture. (C) 2017 Elsevier Ltd. All rights reserved.
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页码:64 / 78
页数:15
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