To Design RC column and beam for RC residential structure using TSD
1)
The design of reinforced concrete (RC) column is carried out by following certain procedures. However, some specific rules and requirements need to be met. The conditions are commonly related to reinforcement ratio, size of rebars, spacing of steel bars, size and spacing of lateral ties or spirals, thickness of concrete cover, number of steel bars, and dimensions of the column.
Aim:- To analysis the structure and design reinforced concrete beam and column
Procedure -
Step 1)
i) Open the previous file of week 9 challenge.
ii) Click on Analyze - 1st order analysis
iii) At the right side bottom corner - Click on Result View.
iv) Select any of the column member and right click on it
v) Then select the interactive design - Check the Design Member

1) Column No - 12
i) Right Click on Column - Interactive Design - Check the desgin
ii) Check the member passed or failed


iii) As the member is passed . No need to change the property of column.
2) Column - 15
i) Similarly Check the Column No 15

ii) Here we can see that Ratio is greater than 1 at Bottom and Top
iii) Either change the dia of Reinforcement or we can increase the No of Bars

Similary Change the diameter of Column No 15 at 1st Floor

iv) Similarly followed the same procedure for remaining columns.
2) Design of Beam -
Step 3)
i) Follow the same procedure of column to design beam
ii) Select the beam - Right click on Beam - Interactive Design - and Check the Design

1) Beam 15 -
i) As the Beam 15 is safe for all the checks
ii) Therefore no need to change the property details.

2) Beam 11
i) Similarly Check the Beam no 11

ii) As we can see that Beam 11 is failied in Other Check i.e Deflection Checks
iii) Increase the Size of the beam to minimise the deflection.
- Open the saved Tekla file.
- Now right click the member to be designed, and then select interactive design and select static.

Designing Columns
- Select Static from the Interactive Design, after that, a dialogue box appears.
- This dialogue box shows the bar detailing and whether the member has passed or not.
- If there is any failure in any column, which can seen as a red mark in the left side, it can be corrected by increasing the size of member.




- Now repeat the same procedure for all the columns.
Design of Beams
- Similar to the columns, right click on any one beam , select interactive design and the select static.
- If there is no irregularities in the bar, it will be shown as green.
- If any beam has a red cross mark, which indicates the failure, then it can be corrected by either increasing the number of bars or by increasing the diameter of the bar.




- Repeat the same procedure for all the beams
- After designing all the members, we have to select status, and we can see all the members have passed, hence the analysis is correct.
The simplicity and computational efficiency of lumped plasticity beam-column element models have been widely utilized for nonlinear response estimation of reinforced concrete (RC) frame elements under seismic shaking. At present, a prevalent approach for estimating modeling parameters includes linear regression-based semi-empirical equations developed after calibration of experimental column test results with varying design details. Since the choice of modeling parameters affects the prediction of complex seismic behavior, an underlying assumption of static linear relationships may not be valid. Furthermore, experimental column test data is limited and typically sourced from multiple independent studies, reflecting significant heterogeneity prevailing in column properties. Consequently, the homoskedastic assumption of the prediction uncertainty in linear regression is questionable. This study addresses the above drawbacks through a Gaussian process regression (GPR) approach that is capable of analyzing nonlinear patterns in data sets, despite small sample sizes. The kernel-based framework of GPR also efficiently estimates the pointwise prediction uncertainty as opposed to the homoskedastic assumption of linear regression. Using a case study example of an archetypical reinforced concrete moment resisting frame building, the prediction uncertainty is propagated in the collapse fragility framework. Results reveal that overall fragility uncertainty can substantially change through the consideration of pointwise prediction uncertainty and better fitting models.
Results -
The design of the RCC columns and RCC beam is done and verified with the design checks.