Recently, buildings or its components are starting to be constructed by 3D printer
1). In the near future, if such technology progress, buildings with various forms will be constructed. On the other hand, topology optimization method (software) is becoming widespread as a method to create a structural form with mechanical rationality. Also, topology optimization method has high compatibility with digital fabrication technology, and this method is adaptive for developing new form of buildings or its components
5).
In this paper, we focus on façade design of buildings used prefabricated walls, and we propose a method to design the prefabricated wall using topology optimization method. In this method, artificial design elements are added to the topology optimization method. In this paper, 2-axis symmetry and continuous pattern conditions are adopted as the artificial design elements. IESO (Improved Evolutionary Structural Optimization) method
2,3) is used for the topology optimization method. IESO method is improvement of initial ESO method
9), and in this method, benefits of BESO
6), Extended ESO
7), and CA-ESO
8) methods are combined.
In section 2, the outline of IESO method is shown. In this method, the design domain is divided in same eight-node brick elements (voxels), and in the optimization process, for solid element, it will be removed if the sensitivity number is less than the threshold value. This threshold value is obtained from the equation which consists of the mean value of sensitivity number and the average deviation of sensitivity number with a control parameter. In this method, the evolutionary volume ratio (reduction ratio) is given as an input data, and this control parameter is determined automatically in the program so as to satisfy the given reduction ratio approximately. Furthermore, in this method, finishing algorithm is added. In this algorithm, first, the converged solution obtained by IESO is input, and then, the elements about 5% of the total elements of design domain are added according to the rule of CA method. And the calculation of IESO is executed again with the smaller reduction ratio than the initial analysis (about 1/5~1/10).
In section 3, the methods for adding the artificial design elements (2-axis symmetry and continuous pattern conditions) are shown. Also, the finishing algorithm is improved. In the new algorithm, if the sensitivity numbers of elements are greater than the average, the elements of the von Neumann neighborhood are added. This finishing algorithm is repeated until a clear solution is obtained.
In section 4, the numerical examples of computational morphogenesis of prefabricated wall are shown in order to verify the application possibility of the proposed method to the façade design of buildings used prefabricated walls. Fig. 5, 6 show the results of analysis with 2-axis symmetry condition. Fig. 7, 8 show the results of analysis with 4-continuous pattern condition. Fig. 9, 10 show the results of analysis with 2-continuous pattern condition. Fig. 11~16 show the façade design image of buildings using the results obtained Fig. 5~10.
It is concluded from these numerical examples as follows.
(1) In the voxel finite element method, it is easy to give the 2-axis symmetry condition or the continuous pattern condition, because the arrangement of the elements (voxels) is uniform.
(2) The clear and simple solutions can be obtained by application of the improved finishing algorithm.
(3) The solutions with more robust form can be obtained by addition of the 2-axis symmetry condition or the continuous pattern condition.
(4) Façade designs created from the solutions are not uncomfortable even if these are used for apartment houses in urban areas.
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