📄 cantilever_beam_rec.m
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% Section 4.5.4: Design of a cantilever beam: recursive formulation (GP)% Boyd & Vandenberghe "Convex Optimization"% (a figure is generated)% Almir Mutapcic 02/08/06%% We have a segmented cantilever beam with N segments. Each segment% has a unit length and variable width and height (rectangular profile).% The goal is minimize the total volume of the beam, over all segment% widths w_i and heights h_i, subject to constraints on aspect ratios,% maximum allowable stress in the material, vertical deflection y, etc.%% The problem can be posed as a geometric program (posynomial form)% minimize sum( w_i* h_i)% s.t. w_min <= w_i <= w_max, for all i = 1,...,N% h_min <= h_i <= h_max% S_min <= h_i/w_i <= S_max% 6*i*F/(w_i*h_i^2) <= sigma_max% y_1 <= y_max%% with variables w_i and h_i (i = 1,...,N).% For other definitions consult the book.% (See exercise 4.31 for a non-recursive formulation.)% optimization variablesN = 8;% constantswmin = .1; wmax = 100;hmin = .1; hmax = 6;Smin = 1/5; Smax = 5;sigma_max = 1;ymax = 10;E = 1; F = 1;cvx_begin gp % optimization variables variables w(N) h(N) % setting up variables relations % (recursive formulation) v = cvx( zeros(N+1,1) ); y = cvx( zeros(N+1,1) ); for i = N:-1:1 fprintf(1,'Building recursive relations for index: %d\n',i); v(i) = 12*(i-1/2)*F/(E*w(i)*h(i)^3) + v(i+1); y(i) = 6*(i-1/3)*F/(E*w(i)*h(i)^3) + v(i+1) + y(i+1); end % objective is the total volume of the beam % obj = sum of (widths*heights*lengths) over each section % (recall that the length of each segment is set to be 1) minimize( w'*h ) subject to % constraint set wmin <= w; w <= wmax; hmin <= h; h <= hmax; Smin <= h./w; h./w <= Smax; 6*F*[1:N]'./(w.*(h.^2)) <= sigma_max; y(1) <= ymax;cvx_end% display resultsdisp('The optimal widths and heights are: ');w, hfprintf(1,'The optimal minimum volume of the beam is %3.4f.\n', sum(w.*h))% plot the 3D model of the optimal cantilever beamfigure, clfcantilever_beam_plot([h; w])
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