研究生: |
呂蔣廷 Lu Chiang,Ting |
---|---|
論文名稱: |
以多目標演化式計算為基礎的建築量體配置決策系統 Building Massing Strategy System based on Multi-objective Evolutionary Algorithm |
指導教授: |
阮怡凱
Yi-Kai Juan |
口試委員: |
施宣光
Shen-Guan Shih 陳清楠 Ching-Nan Chen |
學位類別: |
碩士 Master |
系所名稱: |
設計學院 - 建築系 Department of Architecture |
論文出版年: | 2021 |
畢業學年度: | 109 |
語文別: | 中文 |
論文頁數: | 62 |
中文關鍵詞: | 量體設計 、建築法規 、衍生式設計 、演化式計算 |
外文關鍵詞: | building massing, building code, generative design, evolutionary algorithm |
相關次數: | 點閱:145 下載:7 |
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在不動產開發先期規劃的階段決策建築量體時,建築設計者除了考量設計條件外也須與其他單位配合進行機能規劃及財務假設,以電腦軟體做為輔助來增加作業效率的方式已行之有年。然而在方案反覆修正及與他人溝通的過程中,兼顧修正需求時之餘仍需不斷以人力檢討法規限制及土管規定,傳統的作業方式由設計者人力進行配置決策除了費時費力外,亦無法即時且有系統性的判斷方案的優劣,因此本研究以衍生式設計建立一套建築量體配置決策系統,模擬在台北市內之基地進行量體規劃。透過整理出法規中量體相關的條文做為限制及設計建築量體生成的邏輯來產生量體方案,並藉由開放街圖(OSM)、 Ladybug 等軟體取得環境資訊,衍生為評斷方案優劣的依據,再將上述條件帶入多目標化式計算中迭代優化生成方案。演算後視不同目的透過篩選適存值,或以分群法分類以篩選出合適的方案。透過本架構進行量體配置與決策,可以泛化的應對都市地區多數基地,設計者僅需輸入基本資訊和做出少許規劃即可系統性的優化及產生大量方案。在設計產出的過程中反覆檢討的工作由電腦取代,有利於設計者將精力花在探討更有意義的議題上。
While doing building massing at the pre-planning stage of a real estate development, architecture designers not only need to consider the design conditions, but also need to cooperate with other professional teams to carry out functional planning and financial assumptions. Nowadays, computer software’s has been widely used to increase work efficiency; however, we still spend a lot of time and human resources on communicating with each profession to correct the drawings and regulation’s review. In tradition, it takes time and manpower to do the massing strategy all by the designers themselves, and it is hard to judge the pros and cons of the plan systematically. Therefore, this study constructs a “building massing strategy system” by generative design method and evolutionary algorithm, to stimulate a massing planning of a site in Taipei. By sorting out the regulations related to the site restriction and obtain the environmental information by software such as Open Street Map (OSM), Ladybug, etc., to derive as the basis of pros and cons, we could bring into evolutionary algorithm to optimize the massing proposal, then filter out which proposal suit the best to the site by different depending purpose and fitness value after the simulation. Through this massing tool, we could easily deal with most part of sites in the urban district, the designer only need to input the basic information and few criteria of the site, then can get various type of massing proposals. The repeating reviewing task by human has been replace by computer, which provide more time for the designers to handle other meaningful issues.
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