CAREER: Stochastic and Dynamic Interaction of Vehicle-Pavement Systems and Its Applications to Transportation Infrastructure
CAREER: Stochastic and Dynamic Interaction of Vehicle-Pavement Systems and Its Applications to Transportation Infrastructure
批准号:
0644552
负责人:
Lu Sun
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-05-01 至 2012-04-30
中文摘要
车辆-路面相互作用(VPI)是高速公路和机场道面设计的核心问题。它还对基础设施管理、车辆悬架设计和国家产生了深远的影响。的经济。该项目将为路面表面粗糙度表征、车辆随机振动和车辆荷载下的动态路面行为提供新的方法和思路,并将其统一为一个连贯的方案,用于结构健康监测(SHM)、减振(VM)、无损评价(NDE)和车辆动态称重(WIM)。拟议的解决方案将在全球范围内与其他学科进行互动。CAREER提案是一项综合的跨学科研究工作,包括弹性动力学、随机振动、统计科学、计算机模拟和基础设施管理等全方位的方法、分析、数值和实验工作。这项研究将通过提供对VPI的更好理解,为新的传感和信息处理原理提供新的途径,并为制定具有长远眼光的研究计划奠定基础,为该主题增加新的科学知识。智力优势:本研究的主要成果是:1)建立了系统地将路面不平度、车辆振动和路面结构系统动力学作为一个整体的方法论基础; 2)开发了一个软件工具包,用于自动建模和模拟车辆振动,并分析各种动态载荷下的路面动态响应; 3)提高了对路面结构系统动力响应影响因素的定量认识,揭示了VPI的基本原理及其应用,提高了SHM、NDE和WIM的精度和可靠性,创新了这些应用中的地标方法。工程科学领域将作为这项工作的结果,由于有更好的模型来预测车辆荷载下的动态路面响应,以改善路面设计和创建新的领域的长期研究和持续发展的SHM,NDE和WIM。更广泛的影响:这项研究将有利于研究界,运输行业和整个社会。拟议的工作不仅从科学研究和经济的角度,而且从教育的角度来看,影响是广泛和高度的。CUA位于华盛顿,以其独特的多元文化组合。因此,学生群体的特点是多样性。该项目的全部参与者包括代表性不足的少数民族,妇女和国际学生。参与该项目的研究生和本科生将获得跨学科的接触和经验,拥有最先进的实验技术和分析技能。使用传感器技术进行实验和现场测试,并强调数字建模和计算机模拟的创新应用,为学生和行业提供了一个独特的机会。通过这一项目,将在互联网上提供大量材料,并在会议和期刊出版物中传播。
英文摘要
Vehicle-Pavement Interaction (VPI) is a central problem to highway and airport pavement design. It also has a profound impact on infrastructure management, vehicle suspension design, and the nation?s economy. This project will provide novel approaches and ideas for pavement surface roughness characterization, vehicle random vibration, and dynamic pavement behaviors under vehicular loads, and unify them into a coherent scheme for applications in structural health monitoring (SHM), vibration mitigation (VM), nondestructive evaluation (NDE), and vehicle weigh-in-motion (WIM). The proposed solution will be developed with interaction with other disciplines in a global approach. The CAREER proposal is an integrated and interdisciplinary research effort including methodological, analytical, numerical and experimental work across the full spectrum of elastodynamics, random vibration, statistical science, computer simulation and infrastructure management. This research will add new scientific knowledge to the subject by providing better understanding of VPI, new avenues for novel sensing and information processing principles, and a foundation for developing a far-sighted research program with long reach. Intellectual Merit: the main outcomes of this project are 1) the establishment of a methodological foundation that systematically integrates pavement surface roughness, vehicle vibration, and dynamics of pavement structure systems as a whole; 2) the development of a software toolkit to automate modeling and simulation of vehicle vibration and to analyze dynamic pavement response under various dynamic loads; 3) an improved quantitative understanding on effects and mechanisms of various factors on dynamic response of pavement structure systems; and 4) the revealing of fundamentals of VPI and its applications to improve accuracy and reliability of SHM, NDE and WIM and to innovate landmark methods in these applications. The engineering science field would be advanced as a result of this work due to having better models to predict dynamic pavement response under vehicular loading for improving pavement design and the creation of new areas of long-term research and continuous development in SHM, NDE and WIM. Broader Impacts: This research will benefit the research community, the transportation industry,and the society as a whole. The impact of the proposed work is broad and high not only from scientific research and economic perspectives but also from an educational standpoint. CUA is located in Washington, DC, with its unique combination of diverse cultures. Thus the student body is featured by diversity. Full participants in this proposed project include underrepresented minorities, women, and international students. Graduate and undergraduate students involved in this project will gain cross-disciplinary exposure and experience with state-of-the-art experimental techniques and analytical skills. The use of sensor technology for experiment and field test and the emphasis on innovative applications of numerical modeling and computer simulation provide a unique opportunity for outreach to students and the industry. From this project, a substantial quantity of the materials will be made available on the internet and disseminated in conference and journal publications.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: Modeling Human Driving Behavior and Response with Applications to Intelligent Agent-Based Traffic Flow Simulation
-
批准号:0527508
-
项目类别:Standard Grant
-
资助金额:$0.0万
-
财政年份:2006
-
负责人:Lu Sun
-
依托单位:
Statistical Elastodynamic Inversion for Pavement Nondestructive Evaluation
-
批准号:0408390
-
项目类别:Standard Grant
-
资助金额:$0.0万
-
财政年份:2004
-
负责人:Lu Sun
-
依托单位:
国内基金
海外基金
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
-
批准号:--
-
项目类别:--
-
资助金额:40万元
-
批准年份:2020
-
负责人:Vikrant Gupta
-
依托单位:
基于梯度增强Stochastic Co-Kriging的CFD非嵌入式不确定性量化方法研究
-
批准号:11902320
-
项目类别:青年科学基金项目
-
资助金额:24.0万元
-
批准年份:2019
-
负责人:王波
-
依托单位: