다중목적 최적화를 활용한 성능기반의 도시녹지 입체복합화 디자인 연구 -최적화 툴, 월라시를 활용한 최종 솔루션의 선정과정을 중심으로-

Abstract

(Background and Purpose) Recently, various land securing methods and new types of development methods are required to provide high-quality environmental and social values for urban dweller in high-density large cities. To this end, multi-dimensional complex developments have emerged that use under utilized land or the upper part of infrastructure for economical utilization of the site in the city center and utilize necessary facilities and the upper part as green space. This type of development requires a clear response to minimize the environmental load caused by the building itself along with the influence from the nearby high-density urban environment. In this context, the purpose of this design is to set a design example and derive a Multi-dimensional complex design of performance criteria using Wallace, a multi-purpose optimization tool. (Method) To this end, this design utilizes functional differentiation to extract performance data of various criteria for multiple solutions provided by Wallacei. As an example design, neighbourhood SOC facility responding to community needs and a multi-dimensional complex development using the upper part as a green area are set. The design reflects the environmental impact of the neighboring context, and the proposed building proposes to minimize the environmental load on the adjacent area. To do this, we use a multi-purpose optimization tool, Wallace. Based on the performance and genetic properties of the multiple solution groups derived through calculation, the complex requirements of the example are met, and the final solution suitable for the design point of view is derived and applied to the design. (Results) The derived design proposes urban and architectural proposals that respond to various requirements and problems of the local community, including the optimal form of the roof environment. Through this, through local facilities and green spaces that respond to urban problems caused by high density, the living convenience of urban residents is improved and integrated value of the region is provided. Furthermore, it presents a new type of development as an alternative development method for high-density urban environments. In addition, from a technical point of view, a number of complex requirements were satisfied at the same time by applying a selection method that supplements the randomness of the final solution selection in the existing optimization process. (Conclusions) This design confirmed the potential utilization of optimization design linked with environmental data in architectural design by deriving an alternative to the set example. Based on the performance and genetic analysis of the included solutions, alternatives were drawn to verify the new standard of evidence design method. Furthermore, the utilization of new technology based on scientific objectivity that complements the limitations of the traditional design method was expanded.