课题基金 / 基金详情

EAPSI: Analysis of Soil Deformation during Loading of a Plant Root-Inspired Foundation using X-ray Computed Tomography

EAPSI: Analysis of Soil Deformation during Loading of a Plant Root-Inspired Foundation using X-ray Computed Tomography
EAPSI:使用 X 射线计算机断层扫描分析植物根启发基础加载过程中的土壤变形
批准号:
1614440
负责人:
Seth Mallett
金额:
$0.54万
依托单位:
依托单位国家:
美国
项目类别:
Fellowship Award
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-06-15 至 2017-05-31

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The overarching goal of the proposed research is to gain insight for the development of a bio-inspired plant root foundation. This will require the researcher to investigate how the roots of plants anchor the plant in the soil and how they resist external loads such as pullout from herbivores, compression from self-weight and rain or bending from high winds. Consequently, if a conventional building foundation can be enhanced to improve their efficiency in terms of volume of material used, the structure will not only cost less, but will require less concrete and steel, which has many environmental implications. This project will be conducted at the Port and Airport Research Institute in Yokosuka, Japan under the guidance of Dr. Satoshi Matsumura. In particular, the research seeks to analyze the soil displacement field when a root analog, fabricated using 3D printing, is loaded under tension or compression. The disturbed soil zone will be characterized by using a particle tracking image analysis scheme, where 3D images will be acquired at set increments during the loading process. Additionally, knowledge of the surface failure during tensile loading and the region contributing to the bearing capacity of the soil during root compression will serve to inform analytical models to predict the capacity of the root foundations under the two loading conditions. Furthermore, this project seeks to develop a fundamental understanding of the mechanical behavior of buried plant root-type systems at the particle level, which can then be easily expanded to field-scale applications.This award under the East Asia and Pacific Summer Institutes program supports summer research by a U.S. graduate student and is funded jointly by NSF and the Japan Society for the Promotion of Science.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
  • 依托单位:
基于Meta-analysis的新疆棉花灌水增产模型研究
  • 批准号:
    41601604
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    22.0万元
  • 批准年份:
    2016
  • 负责人:
    赵爱琴
  • 依托单位:
大规模微阵列数据组的meta-analysis方法研究
  • 批准号:
    31100958
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2011
  • 负责人:
    赵洪雅
  • 依托单位: