Tang’s scientific contributions

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Publications (1)


Dynamical Structural Modeling - A Collaborative Design Exploration
  • Article

January 2005

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210 Reads

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37 Citations

International Journal of Architectural Computing

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Tang

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This paper will report on a generative performative modeling approach that engages architects and structural engineers in close dialog. We focus on knowledge shared between architects and engineers to apply the Finite Element Analysis based structural design technique Evolutionary Structural Optimization [ESO] as a way to understand or corroborate the performance factors that are significant in determining architectural form. ESO is very close conceptually to the dynamical system of matter and forces of growth itself. It has parallels both mathematical and metaphorical with natural evolution and morphogenesis so it has been poignant to apply the approach to a formal architectural case study in which the generative influence of these processes is inherent.

Citations (1)


... Notably, ESO and BESO have gained prominence in architectural practice, serving as both conceptual design tools and analysis aids. This is evident in practical projects like the Akutagawa River Side in Takatsuki City [11], the Qatar National Convention Centre & Shanghai Zendai Himalayan Art Centre [12,13], as well as research projects such as the Sagrada Familia [14], the Palazzeto Dellospori of Rome [15], and Chinese rainbow bridges [16]. While these projects predominantly employ traditional architectural materials such as timber, concrete, stone, steel, and composite materials in normal temperatures, there remains a paucity of research and projects that explore topologically optimized designs utilizing snow and ice in cold climates. ...

Reference:

Exploring Innovative Spatial Structures through Topological Optimization and Snow Material Integration in Cold Climate Construction
Dynamical Structural Modeling - A Collaborative Design Exploration
  • Citing Article
  • January 2005

International Journal of Architectural Computing