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Defining Architectural Typologies Through Structural Topologies and Machine Learning

Defining Architectural Typologies Through Structural Topologies and Machine Learning
通过结构拓扑和机器学习定义架构类型
批准号:
2241701
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

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中文摘要
翻译
许多建筑在功能上不是由正式的,而是由组织和结构类型定义的。尤其是结构设计在很大程度上决定了建筑的外部形态和内部布局。拓扑结构模型定义更全面的建筑类型的潜力及其对新的建筑和设计过程的影响,从建筑的尺度到房间或建筑元素和构件,都很少被研究。然而,为了进行这项研究,建筑师和结构工程师之间的持续鸿沟必须克服。因此,这项研究提出的问题是:将结构和建筑设计过程相结合,能否描绘出由结构拓扑定义的新的建筑建筑类型,以及这些类型是否能为建筑业的社会和经济需求提供有用的设计响应?在设计不断变化的建筑生命周期和用户需求所需的适应性建筑时,这些新的建筑/结构模型是否更有效?那么,定义这些类型和拓扑的性能参数是什么?
英文摘要
Many buildings are in functional terms not defined by formal, but organisational and structural typologies. Especially structural design significantly determines both the external form and internal layout of a building. The potential of topological structural models to define more holistic architectural typologies and their implications for new construction and design processes that work across the scales of the building to that of the room or building element and component has been little researched. In order to undertake this research, however, a continuing divide between architects and structural engineers has to be overcome. Thus, the research asks: Can integrating a structural and architectural design process delineate new architectural building typologies that are defined by structural topologies, and do these provide useful design responses to social and economic needs in the building industry? Are these new architectural/structural models more effective when designing adaptable buildings required by increasingly changing building lifecycles and user demands? And, what are the performance parameters that define these typologies and topologies?
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