WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/15539,
	  title     = {Capacity of Anchors in Structural Connections},
	  author    = {T. Cornelius and  G. Secilmis},
	  country	= {},
	  institution	= {},
	  abstract     = {When dealing with safety in structures, the connections between structural components play an important role. Robustness of a structure as a whole depends both on the load- bearing capacity of the structural component and on the structures capacity to resist total failure, even though a local failure occurs in a component or a connection between components. To avoid progressive collapse it is necessary to be able to carry out a design for connections. A connection may be executed with anchors to withstand local failure of the connection in structures built with prefabricated components. For the design of these anchors, a model is developed for connections in structures performed in prefabricated autoclaved aerated concrete components. The design model takes into account the effect of anchors placed close to the edge, which may result in splitting failure. Further the model is developed to consider the effect of reinforcement diameter and anchor depth. The model is analytical and theoretically derived assuming a static equilibrium stress distribution along the anchor. The theory is compared to laboratory test, including the relevant parameters and the model is refined and theoretically argued analyzing the observed test results. The method presented can be used to improve safety in structures or even optimize the design of the connections},
	    journal   = {International Journal of Civil and Environmental Engineering},
	  volume    = {7},
	  number    = {4},
	  year      = {2013},
	  pages     = {329 - 333},
	  ee        = {https://publications.waset.org/pdf/15539},
	  url   	= {https://publications.waset.org/vol/76},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 76, 2013},
	}