RotSpring2DModIKModel- parameters

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EQpkm
Posts: 11
Joined: Tue Aug 19, 2014 11:07 am

RotSpring2DModIKModel- parameters

Post by EQpkm »

Hi,

could you please help me to understand "RotSpring2DModIKModel" six parameters. (LS,LK,LA,LD,CS,CK,CA,CD) which are related to cyclic deterioration based on Ibarra Krawinkler Deterioration Model. i want exactly know how to calculate these parameters.
in my case it is rc section under cyclic loading.

thanks
kostast88
Posts: 49
Joined: Tue Jan 31, 2012 1:20 pm
Location: University of Patras

Re: RotSpring2DModIKModel- parameters

Post by kostast88 »

http://opensees.berkeley.edu/wiki/image ... enSees.pdf

Check the link, provided in the references of bilin materials. The L is noted as Λ in the paper. I think that for fully symmetric behaviour (to the origin) in loading and unloading(with degradation) you can assume all L as equal. C is the corresponding rate of deterioration, usually taken as 1.

From the paper:

"All modes of cyclic deterioration are assumed to be defined by the same Λ . The exponent c of Eq. (3) is kept equal to
1.0 for the sake of simplicity.".

EDIT: I just noticed that you want to use this for RC. Note that this model has been specifically developped for STEEL beams. I don't think you are interested in this material...
EQpkm
Posts: 11
Joined: Tue Aug 19, 2014 11:07 am

Re: RotSpring2DModIKModel- parameters

Post by EQpkm »

thank you,
You mean this model is not suitable for RC? Which model you recommend for plastic hinges in RC beams and columns?
kostast88
Posts: 49
Joined: Tue Jan 31, 2012 1:20 pm
Location: University of Patras

Re: RotSpring2DModIKModel- parameters

Post by kostast88 »

Depends on your modelling aproach (concentrated/distributed plasticity) and what kind of behaviour you want to achieve. If you perform a collapse analysis you need a material with strength and stifness degradation which are important features. Check the database, and maybe someone more experienced with RC models in opensees can answer your question.

However define some properties of your model so that the community understands what you try to achieve and how.
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