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Regarding Column Position as per architectural drawing
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ramu_se
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Joined: 30 Oct 2017
Posts: 101

PostPosted: Thu Nov 17, 2022 12:51 pm    Post subject: Regarding Column Position as per architectural drawing Reply with quote

Dear All,

We locate columns as per the architectural plan and create a framing layout.
In the framing layout, the beams will not exactly intersect at the center of the columns.

But while modeling in Etabs software the beams will intersect at the center of the columns.

Will it create eccentricity? or designing a column for the biaxial moment is sufficient?

Kindly clarify, and attached Etabs and framing plan image for your reference.
Thank & Regards,
Ramu.



Framing plan.png
 Description:
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 Viewed:  46 Time(s)

Framing plan.png



Etabs beams intersect at column center.png
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Etabs beams intersect at column center.png


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vikram.jeet
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Joined: 26 Jan 2003
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PostPosted: Thu Nov 17, 2022 3:29 pm    Post subject: Reply with quote

It is better and actual to place col and beams as framed on plan.  I think staad also has facility to model . Offseting  centerlines .  

Basically if we perceive, a gravity moment at each storey is generated on column due to eccentricity of loaded beam, in addition to other unbalanced moments and total unbalanced moment is distributed among columns and beams framing at joint. The effect of eccentric moment, in computer age need to be taken, even some designers in manual era used to consider the same while others ignore stating that net effect after distribution is not appreciable.
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ramu_se
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PostPosted: Fri Nov 18, 2022 4:26 am    Post subject: Reply with quote

Thank you sir,

I hope in Etabs it is not possible to split columns and create a centerline as per the framing plan.

Is it ok to continue? or will it cause a serious problem?

Thanks & Regards,
Ramu.
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vikram.jeet
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PostPosted: Fri Nov 18, 2022 6:09 am    Post subject: Reply with quote

In case column dim is large with  beam at edge of column, the eccentric moment is additional unbalanced moment, to be distributed to orthagonsl beam and top col, bottom col.

For illustration


For column of size 300x 900
a beam of size 300x600meeting at edge  of column ( perpendicular to column length)
Beam loading say 6.00 t/m ( 1.8 t/m wall&self  + 4.2 slab loads)
Beam span =5.0m
Reaction at column each floor =15 t
Eccentric ity = 0.9/2 - o. 3/2 = o. 3m
Ecc moment each floor =15*0.3= 4.5tm
This is unbalanced mo created due to ecc of beam in plsn

This will be distributed among columns and orthagonal beam/beams based on
respective stiffness.  It may be 1 to 1.5 tm additional moment in each member.
As such problem is not very serious, if ignored but while detailing , it needs to be tackled .
The beam moment will give rise to additional shear due to M/L effect
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Dr. N. Subramanian
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PostPosted: Fri Nov 18, 2022 9:26 pm    Post subject: Re: Regarding Column Position as per architectural drawing Reply with quote

ramu_se wrote:
Dear All,

We locate columns as per the architectural plan and create a framing layout.
In the framing layout, the beams will not exactly intersect at the center of the columns.

But while modeling in Etabs software the beams will intersect at the center of the columns.

Will it create eccentricity? or designing a column for the biaxial moment is sufficient?

Kindly clarify, and attached Etabs and framing plan image for your reference.
Thank & Regards,
Ramu.


Dear Er Ramu

It is a good question.  Definitely it will create eccentricity, which can't be included in the analysis.  

Regards
Subramanian
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suniljpatil26
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Joined: 16 Feb 2012
Posts: 21

PostPosted: Sat Nov 19, 2022 10:00 am    Post subject: Re: Regarding Column Position as per architectural drawing Reply with quote

Dr. N. Subramanian wrote:
ramu_se wrote:
Dear All,

We locate columns as per the architectural plan and create a framing layout.
In the framing layout, the beams will not exactly intersect at the center of the columns.

But while modeling in Etabs software the beams will intersect at the center of the columns.

Will it create eccentricity? or designing a column for the biaxial moment is sufficient?

Kindly clarify, and attached Etabs and framing plan image for your reference.
Thank & Regards,
Ramu.


Dear Er Ramu

It is a good question.  Definitely it will create eccentricity, which can't be included in the analysis.  

Regards
Subramanian



column.jpg
 Description:
While marking the column provide plan offset in desired direction. Refer attached image. In STAADPro you can use offset command. Hope it helps you!
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 Viewed:  42 Time(s)

column.jpg


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mjnasar
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Joined: 26 Jan 2003
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PostPosted: Sun Nov 20, 2022 5:24 am    Post subject: Reply with quote

Dear Engineers
Greetings

in ETABS - the Eccentricities in beam / columns connections can be added by insertion point -  joint offsets

please see attached snip

regards
mjnasar
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ramu_se
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Joined: 30 Oct 2017
Posts: 101

PostPosted: Tue Nov 22, 2022 8:44 am    Post subject: Reply with quote

Thank you all.

Dear NS sir,

Mostly we all model the structure in this way (with eccentricity).

Can we ignore this, if the column dimensions are small like 230x450mm and 230x600mm for G+2 or G+4 residential buildings?

If we have the column dimensions larger, how do we consider these eccentricities while analyzing by Etabs or Staad.pro software?

Thanks & Regards
Ramu.
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ramu_se
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Joined: 30 Oct 2017
Posts: 101

PostPosted: Tue Nov 22, 2022 8:47 am    Post subject: Reply with quote

Dear mjnasar Sir,

Thank you.

I am unable to download the image.

Can you please resend it once again?

Thanks&Regards,
Ramu.
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ramu_se
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Joined: 30 Oct 2017
Posts: 101

PostPosted: Tue Dec 20, 2022 4:54 am    Post subject: Reply with quote

Dear All,

Kindly clarify the above topic,

Most of us model the structure with eccentricity, how do we consider these eccentricities in the analysis? (Staad & Etabs).

or else do we need to change the modeling procedure?

Thanks & Regards,
Ramu.
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