RII Track 4: Form Finding and Optimization of the Structural Foundations of Mega-Flora

RII 轨道 4：巨型植物区系结构基础的形式查找和优化

基本信息

批准号：
1929143
负责人：
Bret Lingwall
金额：
$ 24.21万
依托单位：
South Dakota School of Mines and Technology
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-12-01 至 2023-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1929143&HistoricalAwards=false
关键词：
RII Track Form Finding Optimization

项目摘要

Foundation design has stagnated, stuck in technologies developed decades ago. Shallow and deep foundations are energy intensive and disruptive to install, inefficient in their form and shape. Infrastructure modernization critically depends on design and fabrication of systems with robust functionality at a minimum of energy and materials investments. The solution to this lethargy lays in the foundations of Mega-Flora, large trees. These natural foundation systems have been optimized for a minimum of materials while providing resistance to enormous loads. However, there is little understanding to the role large roots play in structural stability. A new generation of foundation systems can be inspired by nature, but the first step to is to study the form and shape of natural foundations. The work of this award includes mapping the form, shape and mechanics of the roots of large trees. This understanding will lead to new design paradigms. A fundamental understanding of the principles underlying the foundations of mega-flora will significantly improve our ability to design foundations that require less resources, better resist hazards, and improve life safety. Society benefits via resilient infrastructure constructed at less cost. Better knowledge of tree roots will aid foresters in conservation of America's priceless Sequoia, Redwood, and Aspen treasures.Understanding the unique shape and form of the foundation systems of mega-flora that nature seeks is important for biomimetic engineering of new structural foundations. A new generation of anthropogenic foundation systems can be inspired by these natural systems, but the first step to revitalizing of foundation engineering is to study the topology and morphology of natural foundations. We hypothesize that shape analysis and form-finding optimization techniques can be used identify the predominant forms and shapes of the root topologies that nature seeks to optimize structural stability. These optimized shapes and forms can then be used to inspire a new generation of biomimetic foundations. A global database of 1st order roots is coupled with in-situ mapping roots as inputs to Shape Analysis. Form Finding is then used to identify optimal form and shape. This project greatly advances knowledge and understanding across different fields with synergy between engineering and ecology via a fellowship at Princeton University's Form-Finding Laboratory. The research effort will result in: (1) physical model data; (2) application of geophysics to new problems, (3) new applications of shape analysis, and (4) the first use of form-finding techniques for buried systems. The behavior of foundations inspired by these shapes and mechanics will lead to new design methods. To perform the research, new methods for geotechnical analyses will be derived in the form-finding paradigm. Validation of novel in-situ imaging of buried roots is transferable to other problems of ecology and geology, as is adaptation of shape analysis for 1st order root structure optimization.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

基础设计已经停滞不前，停留在几十年前开发的技术上。浅基础和深基础都是能源密集型的，安装时会造成破坏，其形式和形状效率低下。基础设施现代化关键取决于以最少的能源和材料投资来设计和制造具有强大功能的系统。解决这种昏昏欲睡的问题的方法是建立巨型植物群、大树的基础。这些天然基础系统已针对最少的材料进行了优化，同时提供了对巨大负载的抵抗力。然而，人们对大根在结构稳定性中所起的作用知之甚少。新一代地基系统可以从大自然中获得灵感，但第一步是研究自然地基的形式和形状。该奖项的工作包括绘制大树根部的形式、形状和力学。这种理解将带来新的设计范式。对巨型植物区系基础原理的基本了解将显着提高我们设计基础的能力，从而减少资源消耗、更好地抵御危害并提高生命安全。社会通过以较低成本建造的弹性基础设施而受益。更好地了解树根将有助于林业工作者保护美国无价的红杉、红杉和白杨珍宝。了解大自然寻求的大型植物群基础系统的独特形状和形式对于新结构基础的仿生工程非常重要。新一代的人造地基系统可以从这些自然系统中得到启发，但振兴地基工程的第一步是研究自然地基的拓扑和形态。我们假设形状分析和找形优化技术可用于识别大自然寻求优化结构稳定性的根拓扑的主要形式和形状。这些优化的形状和形式可以用来激发新一代仿生基础。一阶根的全局数据库与原位映射根相结合，作为形状分析的输入。然后使用形状查找来确定最佳形状和形状。该项目通过普林斯顿大学形状寻找实验室的奖学金，通过工程与生态学之间的协同作用，极大地增进了不同领域的知识和理解。研究工作将产生：（1）物理模型数据； (2) 地球物理学在新问题中的应用，(3) 形状分析的新应用，以及 (4) 首次使用埋地系统的找形技术。受这些形状和力学启发的基础行为将催生新的设计方法。为了进行研究，将在找形范式中导出岩土分析的新方法。新型埋藏根原位成像的验证可转移到生态学和地质学的其他问题，一阶根结构优化的形状分析也是如此。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准。