Overleaf sync#266
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…update fig_tab_pub_mapping accordingly
Co-authored-by: Becca <32020426+rebeccamccabe@users.noreply.github.com>
…e it to optim folder, and adjust aspect ratio
…rline plot as output of ParetoFigFunc
rebeccamccabe
commented
Jun 26, 2026
| stacked_number_line(X(:,1:end-1).', b.X_mins, b.X_maxs, color, {'o','x','^','v','d'}, titles, b.var_names_pretty(1:end-1)) | ||
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| h_stacked_out = figure; | ||
| try |
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remove debug
| pareto_results_struct = []; | ||
| end | ||
| idx_infeasible = ~cell2mat(cellfun(@isempty,failed_mat,'UniformOutput',false)); | ||
| disp(class(idx_infeasible)) |
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remove debug
| @@ -0,0 +1,2 @@ | |||
| #$out_dir = 'pdf'; | |||
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uncomment and test with new calkit version
| % | ||
| % upper_lim : Nx1 or 1xN numeric vector (optional) | ||
| % Upper x-axis limit for each row. | ||
| % |
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add other inputs
| for i=1:length(figs_classes) | ||
| class_name = figs_classes{i}; | ||
| if ~strcmp(class_name, 'Tikz') | ||
| if ~strcmp(class_name, 'ReadNonMatlabFigs') |
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| \begin{tabular}{ | ||
| l | ||
| >{\raggedright\arraybackslash}p{0.1\linewidth}>{\raggedright\arraybackslash}p{0.1\linewidth}>{\raggedright\arraybackslash}p{0.1\linewidth}>{\raggedright\arraybackslash}p{0.1\linewidth}>{\raggedright\arraybackslash}p{0.12\linewidth}} |
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new columntype R?
| The optimal designs $\vec{x}^*$ are shown visually in \Cref{remdo:fig:overlaid-geometry} and numerically in \Cref{remdo:tab:opt-dv-values}, alongside the nominal design and a balanced design. | ||
| \ifdefined\DISSERTATION | ||
| The balanced design is a $CAPEX$ minimization with an added constraint that average power exceed \resultsRE[powerBalanced]~kW, a value chosen from the shape of the multi-objective Pareto front (\cref{remdo:sec:results-multi}) to trade a small power reduction for a cost reduction relative to the minimum-LCOE design. | ||
| The balanced design is a $CAPEX$ minimization with an added constraint that average power exceed \resultsRE[powerBalanced], kW a value chosen from the shape of the multi-objective Pareto front (\Cref{remdo:sec:results-multi}) to trade a small power reduction for a cost reduction relative to the minimum-LCOE design. |
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| The balanced design is a $CAPEX$ minimization with an added constraint that average power exceed \resultsRE[powerBalanced], kW a value chosen from the shape of the multi-objective Pareto front (\Cref{remdo:sec:results-multi}) to trade a small power reduction for a cost reduction relative to the minimum-LCOE design. | |
| The balanced design is a $CAPEX$ minimization with an added constraint that average power exceed \resultsRE[powerBalanced]~kW a value chosen from the shape of the multi-objective Pareto front (\Cref{remdo:sec:results-multi}) to trade a small power reduction for a cost reduction relative to the minimum-LCOE design. |
| The CAPEX minimization reduces design-dependent cost by a further \resultsRE[pctImproveDesignCostMinCapex]~at the cost of a \resultsRE[pctWorsePowerMinCapex]~power reduction, while the power maximization increases power by a further \resultsRE[pctImprovePowerMaxPower]~at the expense of a \resultsRE[pctWorseDesignCostMaxPower]~increase in design-dependent cost, both relative to the minimum-LCOE design. | ||
| \else | ||
| The minimum-LCOE design achieves \resultsRE[powerAvgAtMinLCOE]~kW annual average electrical power at an estimated \resultsRE[minLCOE]~\$/kWh, a \resultsRE[pctImproveLCOEMinLCOE]~improvement over the nominal \resultsRE[nominalLCOE], from a simultaneous \resultsRE[pctImproveDesignCostMinLCOE]~design-cost reduction and \resultsRE[pctImprovePowerMinLCOE]~power increase (economic assumptions per \cite{mccabe_development_2026}). | ||
| The minimum-LCOE design achieves \resultsRE[powerAvgAtMinLCOE]~annual average electrical power at an estimated \resultsRE[minLCOE], a \resultsRE[pctImproveLCOEMinLCOE]~improvement over the nominal \resultsRE[nominalLCOE], from a simultaneous \resultsRE[pctImproveDesignCostMinLCOE]~design-cost reduction and \resultsRE[pctImprovePowerMinLCOE]~power increase (economic assumptions per \cite{mccabe_development_2026}). |
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| The minimum-LCOE design achieves \resultsRE[powerAvgAtMinLCOE]~annual average electrical power at an estimated \resultsRE[minLCOE], a \resultsRE[pctImproveLCOEMinLCOE]~improvement over the nominal \resultsRE[nominalLCOE], from a simultaneous \resultsRE[pctImproveDesignCostMinLCOE]~design-cost reduction and \resultsRE[pctImprovePowerMinLCOE]~power increase (economic assumptions per \cite{mccabe_development_2026}). | |
| The minimum-LCOE design achieves \resultsRE[powerAvgAtMinLCOE] annual average electrical power at an estimated \resultsRE[minLCOE], a \resultsRE[pctImproveLCOEMinLCOE] improvement over the nominal \resultsRE[nominalLCOE], from a simultaneous \resultsRE[pctImproveDesignCostMinLCOE] design-cost reduction and \resultsRE[pctImprovePowerMinLCOE] power increase (economic assumptions per \cite{mccabe_development_2026}). |
| Two counterintuitive findings stand out: the sign of the structural-period sensitivity $T_{\text{struct}}$ flips between the two objectives, | ||
| and material yield strength has a \emph{positive} cost sensitivity ($+1.0$), that is a stronger material yields a costlier design, | ||
| because with thicknesses already at their lower bounds the added strength is spent on larger, higher-load dimensions rather than reduced structural cost. | ||
| and the material yield strength has a \emph{positive} cost sensitivity ($+1.0$). Specifically, a stronger material yields a costlier design |
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| and the material yield strength has a \emph{positive} cost sensitivity ($+1.0$). Specifically, a stronger material yields a costlier design | |
| and the material yield strength has a \emph{positive} cost sensitivity ($+1.0$). | |
| Specifically, a stronger material yields a costlier design |
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| \centering | ||
| \includegraphics[width=\linewidth]{figs/from-matlab/graphical_abstract_optim.pdf} | ||
| \includegraphics[width=1\linewidth]{figs/from-matlab/Graphical Abstract 2.pdf} |
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download manual
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