For the optimization problem (47), the objective function and constraint functions are implicit nonlinear functions of design variables. Referring to [26], [27], the original implicit objective function and constraint functions can be replaced by their approximate explicit functions. To solve the large-scale structural optimization, a gradient-based optimization algorithm, which relies on nonlinear but convex separable approximation function, is required, such as sequential convex programming
