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Research of Nonlinear Architecture Morphology Based on Psychology Rules and Mathematical Orders

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Computational Morphologies

Abstract

Technological development is to serve the needs of the human body and mind. Today’s digital technology has become a relatively perfect platform, it has built a new generative architecture form, with numerical simulation, biological information, natural morphology and mathematical rules. Furthermore, we want to know the suitability of such a strong impact on people’s physical and mental needs or aesthetic rules. This paper is trying to explain and solve this problem. First step, use examples to find out the morphological features of non-linear architecture which are different from the traditional architecture. Coming out four results: ambiguity of space, temporality of direction, uniqueness of position, and information of volume. Second step, according to the four results of argumentation, seek for solutions. The solutions are based on psychological rules and mathematical orders: setting a visual gravity point, using light to find the direction, invisible axis, and “blank-leaving” of scales, finally draw a conclusion. Hoping the research will provide theoretical guidance of parametric nonlinear architectural design in the future. The purpose is to avoid technological breakthroughs to bring psychological pressure and aesthetic missing.

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Correspondence to Jingting Cheng .

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Cheng, J., Lin, J., Zhang, W. (2018). Research of Nonlinear Architecture Morphology Based on Psychology Rules and Mathematical Orders. In: Rossi, M., Buratti, G. (eds) Computational Morphologies. Springer, Cham. https://doi.org/10.1007/978-3-319-60919-5_17

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  • DOI: https://doi.org/10.1007/978-3-319-60919-5_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60918-8

  • Online ISBN: 978-3-319-60919-5

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