Borham Omar, Croxford Ben, Wilson Duncan
UCL Institute for Environmental Design and Engineering (IEDE), The Bartlett, UCL Faculty of the Built Environment, 14 Upper Woburn Place, London WC1H 0NN, UK.
UCL Centre for Advanced Spatial Analysis (CASA), University College London, London WC1E 6BT, UK.
Biomimetics (Basel). 2024 Aug 27;9(9):514. doi: 10.3390/biomimetics9090514.
Biomimicry applications in different domains, from material science to technology, have proven to be promising in inspiring innovative solutions for present-day challenges. However, biomimetic applications in the built environment face several barriers including the absence of biological knowledge of architects and planners and the lack of an adequate common means to transfer biomimetic concepts into strategies applicable in the urban context. This review aims to create a multidimensional relational database of biomimetic strategies from successful precedent case studies in the built environment across different city systems and on different application scales. To achieve this, a thorough systematic search of the literature was implemented to map relevant biomimetic case studies, which are analyzed to extract biomimetic strategies that proved to be applicable and successful in an urban context. These strategies are then classified and documented in a relational database. This will provide a guide for architects and planners on how to transfer biomimetic strategies to strategies applicable in the urban context, thus bridging the gap of their lack of biological knowledge. The resulting matrix of strategies provides potential strategies across most of the different city systems and scales with few exceptions. This gap will be covered in a future work, currently in progress, to expand the database to include all city systems and scales.
从材料科学到技术,仿生学在不同领域的应用已被证明在为当今挑战激发创新解决方案方面具有潜力。然而,建筑环境中的仿生应用面临若干障碍,包括建筑师和规划师缺乏生物学知识,以及缺乏将仿生概念转化为适用于城市环境的策略的适当通用方法。本综述旨在创建一个多维关系数据库,收录来自不同城市系统和不同应用规模的建筑环境中成功先例案例研究的仿生策略。为此,对文献进行了全面系统的检索,以梳理相关仿生案例研究,并对其进行分析,以提取在城市环境中被证明适用且成功的仿生策略。然后将这些策略分类并记录在一个关系数据库中。这将为建筑师和规划师提供指导,说明如何将仿生策略转化为适用于城市环境的策略,从而弥补他们生物学知识不足的差距。由此产生的策略矩阵提供了适用于大多数不同城市系统和规模的潜在策略,仅有少数例外。目前正在进行的未来工作将弥补这一差距,扩大数据库以涵盖所有城市系统和规模。