TSC2018-Design 1.1.4

TSC2018 design

This repo aims to calculate the topics in TS500-2000 and TSC2018 by coding them with Python.

Todo list

• Design of confining reinforcement in rectangular columns according to TSC2018 .
• Creation of the steel model with the confined and unconfined mander concrete model specified in ANNEX 5-A of the TSC2018.
• Creating the spectrum graphs given in section 3 of the TSC2018.
• Finding the building height class (BYS) and the maximum possible building height according to the information given.
• Connection with Etabs(CSI product) program and getting results
• Fibrous polymer calculations added according to TSC2018
• Interstory drift check according to TSC2018
• Earthquake record selection, acceleration record reading, spectral acceleration, velocity and displacement series extraction and scaling operations.
• LCalculation of strength and ductility increase in columns confined with fibrous polymer
• Finding performance targets based on the information provided according to TSC2018
• Recommendation of R and D coefficients in accordance with TSC2018.
• Finding equivalent lateral loads according to TSC2018.
• External forces in cantilever retaining walls according to TBDY2018.

Summary of repo

💬 Contact

Installing

You can install using pip:

pip install TSC2018-Design

Example

1- Importing modules

from TSCMaterialModels import Mander
from TSCConfimentBarsRules import ConfimentDesign as cd
from Definitions import DuctilityLevel, ResSystemType, SlabSystem,SeismicResistanceBuildingsClass
from TSCResponseSpectra import *

2- Inputs

"""Units N,mm"""
Nd                      = 16000 
B                       = 400
H                       = 400
s                       = 80
TieRebarDiameter        = 8
LongnitRebarDiameter    = 14
ClearCoverConc          = 25
NumBarsTop              = 2
NumBarsInterior         = 1
NumBarsBot              = 2
X_tiebars               = 2
Y_tiebars               = 3
fsy                     = 220
fywe                    = 220
eps_su                  = 0.08
f_co                    = 25
f_ce                    = 25
Fctd                    = 10
Ln                      = 2600

3- TSC2018 rectangular column confinement reinforcement design

ConfinmentDesign = cd(Nd, fsy, Fctd, Ln, B, H, ClearCoverConc, X_tiebars, Y_tiebars, f_co, fywe, TieRebarDiameter, LongnitRebarDiameter)

Kolon Serbest Bölgesindeki Etriye Adeti - Etriye Çapi / SarılmaDışıAralık / OrtaSarılmadakiAralık / UçSarılmaAralık = 42 - ∅8 / 16 / 5 / 5

s = ConfinmentDesign.s_OptEndConfArea

52

4- Material models of TSC2018

mander = Mander(B                    = B,
                H                    = H,
                s                    = s,
                TieRebarDiameter     = TieRebarDiameter,
                LongnitRebarDiameter = LongnitRebarDiameter,
                ClearCoverConc       = ClearCoverConc,
                NumBarsTop           = NumBarsTop,
                NumBarsInterior      = NumBarsInterior,
                NumBarsBot           = NumBarsBot,
                X_tiebars            = X_tiebars,
                Y_tiebars            = Y_tiebars,
                fsy                  = fsy,
                f_ywe                = fywe,
                eps_su               = eps_su,
                f_co                 = f_co,
                f_ce                 = f_ce
                )

mander.Plot_Manders()

5-Creating target spectrum according to TSC2018

To obtain the spectra given in TBDY2018, we use the SeismicInputs class for seismic inputs. For seismic recording input, an instance of our SeismicInputs sample class is purchased. This class will also be used in other classes.

SeismicVariables = SeismicInputs(lat = 39.85,lon = 30.2,soil = "ZC",intensity = "DD2")
SeismicVariables

Latitude :39.85

Longitude :30.2

Soil Class :ZC

Intensity:DD2

We provide information about the building model in the SeismicResistanceBuildingInputs class. Here we used DuctilityLevel, ResSystemType, SlabSystem which are Enum classes for classifications.

RCBuilding = SeismicResistanceBuildingInputs(Hn=70,
                                                 I=1,
                                                 DuctilLevel=DuctilityLevel.Yuksek,
                                                 ResSystemType_X=ResSystemType.BAKarma,
                                                 ResSystemType_Y=ResSystemType.BAKarma,
                                                 SlabSystem=SlabSystem.Plak_kirisli)
RCBuilding

Hn :70

I :1

DuctilLevel :Yuksek

ResSystemType_X :BAKarma

ResSystemType_Y :BAKarma

SlabSystem :Plak_kirisli

SeismicInputsManager class is used to find spectrum values. This class uses the information of the SeismicVariables class as input and calculates the other values if the SetVariables function is run and sets them to the class properties.

SIM = SeismicInputsManager(SeismicVariables=SeismicVariables, TL=6.0)
SIM.SetVariables()
SIM

Ss :0.737 S1 :0.195 PGA :0.309 PGV :18.833 Fs :1.205 F1 :1.5 SDs :0.888085 SD1 :0.2925 TA :0.06587207305607008 TB :0.3293603652803504 TL :6.0

SeismicResistanceBuildingManeger class takes SeismicResistanceBuildingInputs, which contains building information, and SeismicInputsManager classes, which calculate seismic data, as input, and calculates general building classification operations by running the SetVariables function and sets properties.

Srbm = SeismicResistanceBuildingManeger(BuildingVariables=RCBuilding, SeismicManager=SIM, BuildingClass=SeismicResistanceBuildingsClass.A14, Rx=6,Ry=3)
Srbm.SetVariables()
Srbm

SeismicResistanceBuildingManeger(BuildingVariables=Hn :70 I :1 DuctilLevel :Yuksek ResSystemType_X :BAKarma ResSystemType_Y :BAKarma SlabSystem :Plak_kirisli, SeismicManager=Ss :0.737 S1 :0.195 PGA :0.309 PGV :18.833 Fs :1.205 F1 :1.5 SDs :0.888085 SD1 :0.2925 TA :0.06587207305607008 TB :0.3293603652803504 TL :6.0, BuildingClass=<SeismicResistanceBuildingsClass.A14: 5>, Total_M_DEV=0, Total_M_o=0, DTS=2, BYS=2, Rx=6, Ry=3, Dx=1.0, Dy=1.0)

The Spectrum class calculates the spectrum information of the structure by running the SetVariables function using the SeismicResistanceBuildingManeger class and sets it to the ElasticSpectrums variable. This property returns pandas.DataFrame.

Spec = Spectrum(BuildingManager=Srbm)
Spec.SetVariables()
Spec

Spectrum(BuildingManager=SeismicResistanceBuildingManeger(BuildingVariables=Hn :70 I :1 DuctilLevel :Yuksek ResSystemType_X :BAKarma ResSystemType_Y :BAKarma SlabSystem :Plak_kirisli, SeismicManager=Ss :0.737 S1 :0.195 PGA :0.309 PGV :18.833 Fs :1.205 F1 :1.5 SDs :0.888085 SD1 :0.2925 TA :0.06587207305607008 TB :0.3293603652803504 TL :6.0, BuildingClass=<SeismicResistanceBuildingsClass.A14: 5>, Total_M_DEV=0, Total_M_o=0, DTS=2, BYS=2, Rx=6, Ry=3, Dx=1.0, Dy=1.0))

Spec.ElasticSpectrums
Spec

The plot_Spectrums function can be run to display all plots simultaneously. Graphs are drawn in one piece in a specially prepared format.

Spec.plot_Spectrums()

Functions in related classes can be used individually. For example, elastic and reduced elastic spectrum values for a certain period can be obtained with the help of the following functions.

Sae_Tp = Spec.Get_Sae_Tp(T=1.2,
                         TA = Spec.BuildingManager.SeismicManager.TA,
                         TB = Spec.BuildingManager.SeismicManager.TB,
                         SDs= Spec.BuildingManager.SeismicManager.SDs,
                         SD1= Spec.BuildingManager.SeismicManager.SD1,
                         TL = Spec.BuildingManager.SeismicManager.TL 
                         )
Sae_Tp

0.2438

Sar_Tp = Spec.Get_SaR_Tp(R  = Spec.BuildingManager.Rx,
                         D  = Spec.BuildingManager.Dx,
                         T  = 1.2,
                         TB = Spec.BuildingManager.SeismicManager.TB,
                         I  = Spec.BuildingManager.BuildingVariables.I,
                         TA = Spec.BuildingManager.SeismicManager.TA,
                         SDs= Spec.BuildingManager.SeismicManager.SDs,
                         SD1= Spec.BuildingManager.SeismicManager.SD1,
                         TL = Spec.BuildingManager.SeismicManager.TL  )
Sar_Tp

0.0406