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Multi-objective optimization (MOO) of a skylight roof system for structure integrity, daylight, and material cost
Journal of Building Engineering ( IF 6.7 ) Pub Date : 2020-12-02 , DOI: 10.1016/j.jobe.2020.102056
Yun Kyu Yi , Amal Tariq , Jongpil Park , Dua Barakat

In recent years, optimization in the building performance area further extended to Multi-Objective Optimization (MOO). However, it is very rare to find optimization research on cross disciplines. Buildings optimized for energy use rarely consider building structural optimization. In contrast, a structurally optimized building is rarely optimized for daylighting or energy. Without integrating a different building performance area, the solution found in one area will be a problematic solution in another area. This paper proposes a method to overcome the current limitation of using optimization for a specific domain and extend the use of optimization to cover multi-discipline areas.

The paper developed a method to integrate the criteria of several performances into MOO. As a test case, a truss system was selected for maximizing the daylight into the indoor space, maximizing the structure strength and minimizing the system's weight, and the overall material cost. The MOO was able to find several solutions that could satisfy the goals, and the post-MOO process was able to identify the ranking order of the solutions.

The main contribution of this paper is developing a method that uses different domain computational simulation tools in the early design stage to find a solution. This optimized solution was not for one specific domain area but a solution that satisfies several building performance areas. This is important so that a designer can be the guide to find a better design solution in the early design stage where design can greatly impact a building's performance.



中文翻译:

天窗屋顶系统的多目标优化(MOO),以实现结构完整性,日光和材料成本

近年来,建筑性能领域的优化进一步扩展到多目标优化(MOO)。但是,很少有跨学科的优化研究。针对能源使用进行优化的建筑很少考虑对建筑结构进行优化。相反,结构优化的建筑物很少针对采光或能量进行优化。如果不集成其他建筑物性能区域,则在一个区域中找到的解决方案将在另一个区域中成为问题解决方案。本文提出了一种方法来克服当前针对特定领域使用优化的局限性,并将优化的使用范围扩展到涵盖多学科领域。

本文开发了一种将几种绩效标准整合到MOO中的方法。作为测试用例,选择了一个桁架系统,以最大化进入室内空间的日光,最大化结构强度,最小化系统的重量以及总体材料成本。MOO能够找到一些满足目标的解决方案,而MOO后流程则能够确定解决方案的排名顺序。

本文的主要贡献是在设计的早期阶段开发了一种使用不同领域计算仿真工具的方法来找到解决方案。这种优化的解决方案不是针对某个特定领域,而是一种可以满足多个建筑性能领域的解决方案。这一点很重要,因此设计师可以在早期设计阶段找到更好的设计解决方案的指导,在早期设计阶段,设计会极大地影响建筑物的性能。

更新日期:2020-12-08
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