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Flexible high-rise apartments with sparse wall-frame structure:A data-driven computational approach
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作者 Hao Hua Ludger Hovestadt Qian Wang 《Frontiers of Architectural Research》 2024年第3期639-649,共11页
Flexible housing resolves the fundamental conflicts between the long-standing structure and the evolving demands.We propose a computational method of optimizing the structural layout of high-rise residential buildings... Flexible housing resolves the fundamental conflicts between the long-standing structure and the evolving demands.We propose a computational method of optimizing the structural layout of high-rise residential buildings.Chinese high-rise apartment buildings have widely employed shear wall-frame structure in which one big room or multiple small rooms could occupy the same span.Fitting multiple floor plans into a fixed sparse scheme of shear walls and columns is feasible.We developed a computational framework to seek flexible structural schemes.A building scheme consists of a circulation core,shear walls,columns,and boundaries.The computer program automatically adapts floor plans to any drawn or generated scheme.Based on a large dataset of apartment layouts,the number of apartments that fit into a building scheme statistically reflects the flexibility of the scheme.If many hypothetical plans can fit into a wallframe structure in computer simulation,this structure could probably support several generations of unknown plans.Such a data-driven computational method provides the possibility of creating a one-to-many mapping between permanent structure and evolving apartment plans. 展开更多
关键词 Flexible housing High-rise apartment Data driven Computational design Wall-frame structure
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