ASSOCIATIVE PARAMETRIC DESIGN AND FINANCIAL OPTIMISATION - CASH BACK 1.0 Parametric design for visualising and optimising return on investment for early stage design decision-making

被引:0
|
作者
Gerber, David [1 ]
Elsheikh, Mohamed M. [1 ]
Solmaz, Aslihan Senel [1 ]
机构
[1] Univ So Calif, Sch Architecture, Los Angeles, CA 90089 USA
关键词
Parametric design; genetic algorithm; design decision support; multi domain optimisation; domain integration;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Cash-Back 1.0 presents research on the development of methodologies and technologies to simulate the cause and effect of early stage geometric design alternatives of buildings and the real time results upon financial pro-forma. Through the encoding of design rules and their associative relationships to financial pro-forma the research illustrates enhanced visualisation of early stage building design decisions and their cumulative impact on financial goals and constraints. The research presents value an associative parametric design process affords often-disparate domains through correlation and visualisation. The paper describes incorporation of a feedback loop between pro-forma and geometric models in conjunction with an optimisation method. Given the level of uncertainty in early stage design decision making the research contributes partial solutions to the domain problems of design decision uncertainty and design cycle latency and is further argumentation for increased use of parametric design methods and automation to support design domain integration.
引用
收藏
页码:47 / 56
页数:10
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