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.

基金会设计停滞不前，陷入了几十年前发展的技术。浅层和深层的基础是能量密集型和破坏性的，其形式和形状效率低下。基础设施现代化严重取决于具有最少能源和材料投资的功能强大功能的系统的设计和制造。这种昏昏欲睡的解决方案置于大型树木的基础上。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阻力。但是，对大根在结构稳定性中的作用几乎没有理解。新一代的基础系统可以受到自然的启发，但第一步是研究自然基础的形式和形状。该奖项的工作包括绘制大树根部的形式，形状和机制。这种理解将导致新的设计范式。对巨型植物基础基础的原则的基本理解将显着提高我们设计基础的能力，这些基础需要更少的资源，更好地抵抗危害并改善生命安全。社会通过以更低的成本建造的弹性基础设施受益。对树根的更好了解将有助于森林人保护美国无价红杉，红木和阿斯彭宝藏。理解大自然寻求的巨型绿色基础系统的独特形状和形式对于新结构基础的仿生工程至关重要。新一代的人为基础系统可以受到这些自然系统的启发，但是振兴基金会工程的第一步是研究自然基础的拓扑和形态。我们假设可以使用形状分析和形式调查优化技术来确定大自然试图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然后可以用来激发新一代的仿生基础。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，形式发现用于识别最佳形式和形状。该项目通过普林斯顿大学的形式调查实验室的奖学金，在工程和生态学之间的协同期间，在不同领域的知识和理解都大大提高了知识和理解。研究工作将导致：（1）物理模型数据；（2）将地球物理应用应用于新问题，（3）形状分析的新应用，以及（4）首次使用埋入系统的形式调查技术。受这些形状和力学启发的基础的行为将导致新的设计方法。为了进行研究，将在形式的范式中得出用于岩土分析的新方法。对埋藏根的新型现场成像的验证可以转移到生态和地质的其他问题，对形状分析的适应一阶根结构优化。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的审查标准来通过评估来支持的。