Investigating roster brick based on multi-objective optimization between daylighting, wind velocity and structural displacement

Roster brick has been developed from only room service ventilation into elements in the building façade. Nevertheless, the process of making this brick, from construction to geometrical configurations, still relies on the creator’s intuition, questioning the actual performance of the roster brick itself. Therefore, this study aims to investigate roster brick geometric configurations that achieve optimal performances using multi-objective optimization (MOO). This study will be useful for academicians, practitioners, and society to discover and consider the optimal roster brick geometrical configuration based on its performance. The process of optimization involves evolutionary algorithms to find the solution of optimal roster brick configuration to performance aspects such as natural lighting (UDI), thermal performance (wind velocity), and structure (displacement). The result of the solution will then be fabricated with real roster brick material and test its structural integrity. This study’s digital performance analysis phase has defined roster brick geometrical configuration that achieves its optimal three performance aspects mentioned before by ranking the MOO results. This defined roster is planned to be fabricated to test its structural integrity.