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Morphological Design Method of Cave Karst Based on Biomorphic Algorithm - Digital Design of Guilin Cave

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HCI International 2022 – Late Breaking Papers: Ergonomics and Product Design (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13522))

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Abstract

Karst is the general term for a series of underground or surface forms produced by the erosion of soluble rocks by water. Karst landforms are the masterpieces of nature, with high aesthetic, scientific and natural heritage values. Karst caves are landscapes composed of carbonate rocks dissolved and eroded by groundwater into cavities and secondary carbonate deposits, such as stalagmites, stalactites, stone pillars and stone mantles. The article takes Guilin, China, the most typical and universal representative place of karst evolution in the world as the research object, and proposes a new design method of karst cave geomorphology based on cave landscape characteristics and computerized morphogenetic algorithm with the help of interdisciplinary thinking and tools. Different landscape causes and characteristics of caves are analyzed and the elements of their morphogenetic design are summarized. The grasshopper platform combined with different algorithmic plug-ins to determine the morphology is introduced and the generation of shapes with cave landscape characteristics is realize. A real case is analyzed and its potential role in interactive design is discuss.

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Correspondence to Qianhang Qin or Wenda Tian .

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Qin, Q., Tian, W., Yue, F., Lian, G. (2022). Morphological Design Method of Cave Karst Based on Biomorphic Algorithm - Digital Design of Guilin Cave. In: Duffy, V.G., Rau, PL.P. (eds) HCI International 2022 – Late Breaking Papers: Ergonomics and Product Design. HCII 2022. Lecture Notes in Computer Science, vol 13522. Springer, Cham. https://doi.org/10.1007/978-3-031-21704-3_32

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  • DOI: https://doi.org/10.1007/978-3-031-21704-3_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21703-6

  • Online ISBN: 978-3-031-21704-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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