Filter löschen
Filter löschen

How to add a third condition without making the function 3D

4 Ansichten (letzte 30 Tage)
Joy Shen
Joy Shen am 9 Sep. 2023
Kommentiert: Joy Shen am 11 Sep. 2023
I have three indices I want to iterate through and each have their own conditions and functions. However, my end result will be a 2D plot. I simply want to check against an index and force the function to 0. I'm not sure what the best way to do this is.
I originally generate a 2x3 matrix of means for my lognormal distribution and want to plot them, which is determined by the two indices iDG_door and iDMdoor. There is a third index that I want to iterate through (iPre_fg) and I basically want to check when iPre_fg is 1, I force the CDF to 0 if x is below n_fg. I attempt to do this in the code below all the %%%%%%%%
% Define degradation states from Ma et al. "Research to develop flood
% barrier testing strategies for NPPs"
% Creating a cell array called DegState DegState = {'Success', 'Degradation', 'Failure'}
Dg_doorS1=1; DegState_door{Dg_doorS1}='Closed-Perfect';
Dg_doorS2=2; DegState_door{Dg_doorS2}='Closed-Degraded';
Dg_doorS3=3; DegState_door{Dg_doorS3}='Failure';
% Define HCLPF capacity reduction factors due to degraded seals (different capacity for each degradation level)
DegCapRed_door=[0.99; 0.75; 1E-17]; %Closed-Perfect, Closed-Degraded, Failure
% Define floodgate states
PreState_fg1=1; PreState_fg{PreState_fg1}='No Damage';
PreState_fg2=2; PreState_fg{PreState_fg2}='Failure';
fg_state =[1 1]; % Fg presence has no existence on median cap
% Define damage states
Dm_doorS0=1; DamState_door{Dm_doorS0}='Ds_0 = No Damage';
Dm_doorS1=2; DamState_door{Dm_doorS1}='Ds_1 = Failure';
% Define baseline capacity values for each damage state for non-degraded seal
BaselineMed_door(Dm_doorS0)= NaN; % capacity against no damage or more damage
BaselineMed_door(Dm_doorS1)=3.28084; %ft capacity failure, from test 9S Wells et al. "Non-watertight door performance experiments and analysis under flooding scenarios"
CL_door = []; L_door = [":","-"]; C_door=["g","b","r"]; %C indicates damage state, L indicates Degradation
zeta_door = 0.5;
% Calculate all fragility parameters for Lognormal Distribution
for iDG_door=1:length(DegState_door)
for iDMdoor=1:length(DamState_door)
if iDMdoor==Dm_doorS0%|| iDG==DgS3 %if damage state is in the DmS1, the lamda is almost 0 (cannot be zero bc lognormal)
lam_door(iDMdoor,iDG_door)=1e-17; %artificial -> probability will be 1.0 later
else
lam_door(iDMdoor,iDG_door)=BaselineMed_door(iDMdoor)*DegCapRed_door(iDG_door);
end
pd_frag_door{iDG_door}{iDMdoor}=makedist('Lognormal',log(lam_door(iDMdoor,iDG_door)),zeta_door); % Creating a 1xlength(DegState) cell, within each cell is another 1xlength(DamState)
CL_door{iDG_door}{iDMdoor}=L(iDG_door)+C(iDMdoor);
end
end
Incorrect number or types of inputs or outputs for function 'L'.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for iDG_door=1:2%length(DegState) not doing whole length bc these are lambdas are 0, so it's just a straight line at 1.0 starting at n_ins
for iDMdoor=2:length(DamState_door) % Not doing whole length bc these lambdas are 0, so it's just a straight line at 1.0 starting at n_ins
x=[]; x=linspace(0,20,10000);
Fx_door=[]; Fx_door=cdf(pd_frag_door{iDG_door}{iDMdoor},x); %Plot cdfs for fragility
for iPre_fg=1 % When pre state IS installed or in state 1...
if x<=n_fg
Fx_door = 0;
else
Fx_door=[]; Fx_door=cdf(pd_frag_door{iDG_door}{iDMdoor},x); %Plot cdfs for fragility
end
end
plot(x,Fx_door,CL_door{iDG_door}{iDMdoor},'LineWidth',3); hold on %Plot fragility functions and line types
legct=legct+1; leg{legct}=strcat(DegState_door{iDG_door},'; ',DamState_door{iDMdoor}); %Legend
end
end
  2 Kommentare
Torsten
Torsten am 9 Sep. 2023
As far as I can see, the arrays L and C are undefined.
Joy Shen
Joy Shen am 9 Sep. 2023
Apologies it should be C_door and L_door

Melden Sie sich an, um zu kommentieren.

Antworten (1)

Walter Roberson
Walter Roberson am 9 Sep. 2023
Verschoben: Walter Roberson am 9 Sep. 2023
% Define degradation states from Ma et al. "Research to develop flood
% barrier testing strategies for NPPs"
% Creating a cell array called DegState DegState = {'Success', 'Degradation', 'Failure'}
Dg_doorS1=1; DegState_door{Dg_doorS1}='Closed-Perfect';
Dg_doorS2=2; DegState_door{Dg_doorS2}='Closed-Degraded';
Dg_doorS3=3; DegState_door{Dg_doorS3}='Failure';
% Define HCLPF capacity reduction factors due to degraded seals (different capacity for each degradation level)
DegCapRed_door=[0.99; 0.75; 1E-17]; %Closed-Perfect, Closed-Degraded, Failure
% Define floodgate states
PreState_fg1=1; PreState_fg{PreState_fg1}='No Damage';
PreState_fg2=2; PreState_fg{PreState_fg2}='Failure';
fg_state =[1 1]; % Fg presence has no existence on median cap
% Define damage states
Dm_doorS0=1; DamState_door{Dm_doorS0}='Ds_0 = No Damage';
Dm_doorS1=2; DamState_door{Dm_doorS1}='Ds_1 = Failure';
% Define baseline capacity values for each damage state for non-degraded seal
BaselineMed_door(Dm_doorS0)= NaN; % capacity against no damage or more damage
BaselineMed_door(Dm_doorS1)=3.28084; %ft capacity failure, from test 9S Wells et al. "Non-watertight door performance experiments and analysis under flooding scenarios"
CL_door = []; L_door = [":","-",".-"]; C_door=["g","b","r"]; %C indicates damage state, L indicates Degradation
zeta_door = 0.5;
% Calculate all fragility parameters for Lognormal Distribution
for iDG_door=1:length(DegState_door)
for iDMdoor=1:length(DamState_door)
if iDMdoor==Dm_doorS0%|| iDG==DgS3 %if damage state is in the DmS1, the lamda is almost 0 (cannot be zero bc lognormal)
lam_door(iDMdoor,iDG_door)=1e-17; %artificial -> probability will be 1.0 later
else
lam_door(iDMdoor,iDG_door)=BaselineMed_door(iDMdoor)*DegCapRed_door(iDG_door);
end
pd_frag_door{iDG_door}{iDMdoor}=makedist('Lognormal',log(lam_door(iDMdoor,iDG_door)),zeta_door); % Creating a 1xlength(DegState) cell, within each cell is another 1xlength(DamState)
CL_door{iDG_door}{iDMdoor}=L_door(iDG_door)+C_door(iDMdoor);
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for iDG_door=1:2%length(DegState) not doing whole length bc these are lambdas are 0, so it's just a straight line at 1.0 starting at n_ins
for iDMdoor=2:length(DamState_door) % Not doing whole length bc these lambdas are 0, so it's just a straight line at 1.0 starting at n_ins
x=[]; x=linspace(0,20,10000);
Fx_door=[]; Fx_door=cdf(pd_frag_door{iDG_door}{iDMdoor},x); %Plot cdfs for fragility
for iPre_fg=1 % When pre state IS installed or in state 1...
if x<=n_fg
Fx_door = 0;
else
Fx_door=[]; Fx_door=cdf(pd_frag_door{iDG_door}{iDMdoor},x); %Plot cdfs for fragility
end
end
plot(x,Fx_door,CL_door{iDG_door}{iDMdoor},'LineWidth',3); hold on %Plot fragility functions and line types
legct=legct+1; leg{legct}=strcat(DegState_door{iDG_door},'; ',DamState_door{iDMdoor}); %Legend
end
end
Unrecognized function or variable 'n_fg'.
  4 Kommentare
Walter Roberson
Walter Roberson am 11 Sep. 2023
n_fg = 3;
legct = 0;
% Define degradation states from Ma et al. "Research to develop flood
% barrier testing strategies for NPPs"
% Creating a cell array called DegState DegState = {'Success', 'Degradation', 'Failure'}
Dg_doorS1=1; DegState_door{Dg_doorS1}='Closed-Perfect';
Dg_doorS2=2; DegState_door{Dg_doorS2}='Closed-Degraded';
Dg_doorS3=3; DegState_door{Dg_doorS3}='Failure';
% Define HCLPF capacity reduction factors due to degraded seals (different capacity for each degradation level)
DegCapRed_door=[0.99; 0.75; 1E-17]; %Closed-Perfect, Closed-Degraded, Failure
% Define floodgate states
PreState_fg1=1; PreState_fg{PreState_fg1}='No Damage';
PreState_fg2=2; PreState_fg{PreState_fg2}='Failure';
fg_state =[1 1]; % Fg presence has no existence on median cap
% Define damage states
Dm_doorS0=1; DamState_door{Dm_doorS0}='Ds_0 = No Damage';
Dm_doorS1=2; DamState_door{Dm_doorS1}='Ds_1 = Failure';
% Define baseline capacity values for each damage state for non-degraded seal
BaselineMed_door(Dm_doorS0)= NaN; % capacity against no damage or more damage
BaselineMed_door(Dm_doorS1)=3.28084; %ft capacity failure, from test 9S Wells et al. "Non-watertight door performance experiments and analysis under flooding scenarios"
CL_door = []; L_door = [":","-",".-"]; C_door=["g","b","r"]; %C indicates damage state, L indicates Degradation
zeta_door = 0.5;
% Calculate all fragility parameters for Lognormal Distribution
for iDG_door=1:length(DegState_door)
for iDMdoor=1:length(DamState_door)
if iDMdoor==Dm_doorS0%|| iDG==DgS3 %if damage state is in the DmS1, the lamda is almost 0 (cannot be zero bc lognormal)
lam_door(iDMdoor,iDG_door)=1e-17; %artificial -> probability will be 1.0 later
else
lam_door(iDMdoor,iDG_door)=BaselineMed_door(iDMdoor)*DegCapRed_door(iDG_door);
end
pd_frag_door{iDG_door}{iDMdoor}=makedist('Lognormal',log(lam_door(iDMdoor,iDG_door)),zeta_door); % Creating a 1xlength(DegState) cell, within each cell is another 1xlength(DamState)
CL_door{iDG_door}{iDMdoor}=L_door(iDG_door)+C_door(iDMdoor);
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for iDG_door=1:2%length(DegState) not doing whole length bc these are lambdas are 0, so it's just a straight line at 1.0 starting at n_ins
for iDMdoor=2:length(DamState_door) % Not doing whole length bc these lambdas are 0, so it's just a straight line at 1.0 starting at n_ins
x=[]; x=linspace(0,20,10000);
Fx_door=[]; Fx_door=cdf(pd_frag_door{iDG_door}{iDMdoor},x); %Plot cdfs for fragility
for iPre_fg=1 % When pre state IS installed or in state 1...
if x<=n_fg
Fx_door = 0;
else
Fx_door=[]; Fx_door=cdf(pd_frag_door{iDG_door}{iDMdoor},x); %Plot cdfs for fragility
end
end
plot(x,Fx_door,CL_door{iDG_door}{iDMdoor},'LineWidth',3); hold on %Plot fragility functions and line types
legct=legct+1; leg{legct}=strcat(DegState_door{iDG_door},'; ',DamState_door{iDMdoor}); %Legend
end
end
Joy Shen
Joy Shen am 11 Sep. 2023
Hi, I still have the issue that the functions need to be suppressed at 3 and below. I'm not sure how to accomplish this without using a 3D index.

Melden Sie sich an, um zu kommentieren.

Produkte


Version

R2022a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by