Research Initiation Award: Robust Management of Earthen Levee Stability in the Face of Uncertainty for Resilient Geotechnical Infrastructures

研究启动奖:面对弹性岩土基础设施的不确定性时土堤稳定性的稳健管理

基本信息

  • 批准号:
    1900445
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 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:
    2019-04-15 至 2024-03-31
  • 项目状态:
    已结题

项目摘要

Research Initiation Awards provide support for junior and mid-career faculty at Historically Black Colleges and Universities who are building new research programs or redirecting and rebuilding existing research programs. It is expected that the award helps to further the faculty member's research capability and effectiveness, improves research and teaching at the home institution, and involves undergraduate students in research experiences. This award to the University of the District of Columbia (UDC) has potential broader impacts in a number of areas. The goal of the project is to advance the fundamental understanding of robustness as a performance indicator for geotechnical infrastructures and establish an informed decision support framework for robust management of earthen levees against multiple hazards. The research will be integrated into geotechnical engineering courses at UDC.The project will develop a robust management methodology to address the infrastructure robustness under multiple hazards and advance the state-of-practice in adaptive management of geotechnical infrastructures. The cornerstones of the robust management methodology are three tightly integrated concepts: engineering robustness against multiple hazards, Bayesian inference, and multi-objective based decision-support. Firstly, an original quantitative robustness metric will be formulated for assessing the capability of earthen levees to withstand hazard events such as floods and earthquakes. Then a novel probabilistic framework will be established for robustness and reliability assessment of earthen levees. Finally, an intelligent decision support framework will be created to turn numerical simulation results and performance data into robust management capability. The research is expected to fill a knowledge gap in geotechnical engineering by transforming the robustness concept into an effective decision support tool for geotechnical infrastructure management. The results of the research will lead to an innovative solution for resilient geotechnical infrastructures in the face of uncertainty, which can protect the public and benefit society through safer engineering practice for risk reduction and mitigation.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.
研究启动奖为历史悠久的黑人学院和大学的初级和职业生涯中期教师提供支持,这些教师正在建立新的研究计划或重新定向和重建现有的研究计划。预计该奖项有助于进一步提高教师的研究能力和有效性,改善所在机构的研究和教学,并让本科生参与研究经验。授予哥伦比亚特区大学(UDC)的这一奖项可能在许多领域产生更广泛的影响。该项目的目标是促进对作为岩土基础设施绩效指标的稳健性的基本认识,并建立一个知情的决策支持框架,以便对土堤进行稳健的管理,以抵御多种灾害。这项研究将被整合到UDC的岩土工程课程中。该项目将开发一种稳健的管理方法,以解决多种灾害下的基础设施健壮性问题,并促进岩土基础设施适应性管理的实践状况。稳健管理方法的基石是三个紧密结合的概念:针对多种危险的工程稳健性、贝叶斯推理和基于多目标的决策支持。首先,将制定一个原始的定量稳健性度量标准,以评估土堤抵御洪水和地震等灾害事件的能力。为土堤的稳健性和可靠性评价建立了一种新的概率框架。最后,将创建一个智能决策支持框架,将数值模拟结果和性能数据转化为稳健的管理能力。通过将稳健性概念转化为岩土基础设施管理的有效决策支持工具,该研究有望填补岩土工程领域的知识空白。研究结果将为面对不确定性的弹性岩土基础设施带来创新的解决方案,通过更安全的工程实践减少和缓解风险,保护公众并造福社会。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Probabilistic Stability Assessment of Earthen Levees Subjected to Earthquake Loads
  • DOI:
    10.1061/9780784483428.020
  • 发表时间:
    2021-05
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lei Wang;S. Tait;S. Khoshnevisan;F. Barati;C. Juang
  • 通讯作者:
    Lei Wang;S. Tait;S. Khoshnevisan;F. Barati;C. Juang
Reliability Assessment of Pile-Founded T-Walls Using Kriging Method
  • DOI:
    10.1061/9780784484999.032
  • 发表时间:
    2023-07
  • 期刊:
  • 影响因子:
    0
  • 作者:
    L. Zhang;Lei Wang
  • 通讯作者:
    L. Zhang;Lei Wang
Robust Optimization for Stability of I-Walls and Levee System Resting on Sandy Foundation
  • DOI:
    10.1007/s12205-021-0038-5
  • 发表时间:
    2021-09
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    N. Ravichandran;Lei Wang;P. Rahbari
  • 通讯作者:
    N. Ravichandran;Lei Wang;P. Rahbari
Reliability of Geosynthetic Reinforced Soil Structure Design with Probabilistic and Finite Element Methods
概率和有限元方法土工合成材料加筋土结构设计的可靠性
Reliability analysis of pile-founded T-walls using the random variable method and random field method
  • DOI:
    10.1016/j.compgeo.2023.105439
  • 发表时间:
    2023-07
  • 期刊:
  • 影响因子:
    5.3
  • 作者:
    L. Zhang;Lei Wang
  • 通讯作者:
    L. Zhang;Lei Wang
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Lei Wang其他文献

Interface Metal Oxides Regulating Electronic State around Nickel Species for Efficient Alkaline Hydrogen Electrocatalysis
界面金属氧化物调节镍物质周围的电子态以实现高效碱性氢电催化
  • DOI:
    10.1002/smll.202206196
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    13.3
  • 作者:
    Jin‐Tao Ren;Lei Wang;Lei Chen;Xin‐Lian Song;Qing‐Hui Kong;Hao‐Yu Wang;Zhong‐Yong Yuan
  • 通讯作者:
    Zhong‐Yong Yuan
Asymptotic Optimality of Combined Double Sequential Weighted Probability Ratio Test for Three Composite Hypotheses
三种复合假设的组合双序贯加权概率比检验的渐近最优性
Design of bifunctional phase-change device for storage memories and reconfigurable metasurfaces
用于存储存储器和可重构超表面的双功能相变器件的设计
  • DOI:
    10.1016/j.ceramint.2022.10.293
  • 发表时间:
    2022-11
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Xiaojuan Lian;Zhixuan Gao;Jinke Fu;Xiang Wan;Qingying Ren;Xiaoyan Liu;Lei Wang
  • 通讯作者:
    Lei Wang
A novel method of non-probabilistic reliability-based topology optimization corresponding to continuum structures with unknown but bounded uncertainties
一种对应于未知但有界不确定性的连续体结构的基于非概率可靠性的拓扑优化新方法
Synthesis and electrochemical performance of three-dimensional ordered hierarchically porous Li4Ti5O12 for high performance lithium ion Batteries
高性能锂离子电池三维有序分级多孔Li4Ti5O12的合成及电化学性能
  • DOI:
    10.1016/j.ceramint.2017.08.043
  • 发表时间:
    2018-02
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Lei Wang;Fen wang;Jianfeng Zhu
  • 通讯作者:
    Jianfeng Zhu

Lei Wang的其他文献

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{{ truncateString('Lei Wang', 18)}}的其他基金

Active Integrated Antenna for Intelligent Arrays in 6G Non-Terrestrial Networks
用于 6G 非地面网络智能阵列的有源集成天线
  • 批准号:
    EP/Y003144/1
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Research Grant
Active Integrated Antenna for Intelligent Arrays in 6G Non-Terrestrial Networks
用于 6G 非地面网络智能阵列的有源集成天线
  • 批准号:
    EP/Y003144/2
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Research Grant
MRI: Acquisition of Dual Beam FIB/SEM to Enable New Capability for Research, Education and Training at UDC
MRI:收购双束 FIB/SEM 为 UDC 的研究、教育和培训提供新能力
  • 批准号:
    2022090
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Targeted Infusion Project: Integrating Risk and Resilience into Undergraduate Engineering Education Towards a Hazard-Resilient Built Environment
有针对性的注入项目:将风险和抵御能力融入本科工程教育,打造抗灾建筑环境
  • 批准号:
    1818649
  • 财政年份:
    2018
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Analysis and online real-time integrated modelling of nitrate processes in the whole freshwater cycle
整个淡水循环中硝酸盐过程的分析和在线实时集成建模
  • 批准号:
    NE/K001027/1
  • 财政年份:
    2012
  • 资助金额:
    $ 30万
  • 项目类别:
    Research Grant
MRI: Instrumentation Development for Sustainable Distributed Cyber-Aquatic Systems
MRI:可持续分布式网络水生系统的仪器开发
  • 批准号:
    1127084
  • 财政年份:
    2011
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
CAREER: Embedded DSP with Underwater Renewable Energy: Towards Sustainability for Cyber-Aquatic Systems
职业:具有水下可再生能源的嵌入式 DSP:实现网络水生系统的可持续性
  • 批准号:
    0954037
  • 财政年份:
    2010
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
NANO: Information-Theoretic Foundation of Molecular Computing: Performance Limits and Design Optimization
NANO:分子计算的信息理论基础:性能限制和设计优化
  • 批准号:
    0621947
  • 财政年份:
    2006
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
SBIR Phase I: Development of a Self-Sensing Piezoelectric Actuator
SBIR 第一阶段:自感应压电执行器的开发
  • 批准号:
    0318827
  • 财政年份:
    2003
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
SBIR Phase I: Development of Smart Seal Using Shape Memory Alloy Technology
SBIR 第一阶段:利用形状记忆合金技术开发智能密封件
  • 批准号:
    0127812
  • 财政年份:
    2002
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant

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Research Initiation Award: Investigating Instructional Conditions for Robust Learning in Biology
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