RAPID: Modeling and experiments of oil-particulate mixtures of relevance to the Gulf of Mexico oil spill
RAPID: Modeling and experiments of oil-particulate mixtures of relevance to the Gulf of Mexico oil spill
批准号:
1048840
负责人:
Andrea Bertozzi
金额:
$14.06万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2012-08-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The Gulf of Mexico Oil Spill is perhaps the most significant environmental disaster in US history with a significant portion of the US coastline affected by the approaching crude. Cleanup of beaches is important for both environmental reasons and for the tourist trade. This research program addresses fundamental questions of the dynamics of oil and sand of direct relevance to the cleanup problem. The work builds on recent studies of the Principal Investigator on mathematical models for oil-sand mixtures on slopes, including work on critical inclination angles for separation of oil-sand mixtures and modeling of shear-induced migration in oil/particulate films. The current research effort addresses such basic questions as whether there is a critical angle of incline for beach sand dunes that result in oil collecting in the dune vs. flowing to the bottom of the dune. The study of periodic patterns of shearing due to waves is also important for this research project.The dynamics of particulates (e.g. sand) in oil is a complex process involving hindered settling dynamics and dynamics of the fluid such as shear. Recently the research group of the PI has found the dominant physics for particle-oil film mixtures on an incline and can explain quantitatively the bifurcation that occurs between regimes of particle settling downstream of the flow and clear fluid separating out from the flow. The equilibrium theory compares shear-induced migration due to the bulk flow properties with hindered settling due to gravity, and matches well with laboratory experiments. The current research program develops dynamic theories for particle-sand mixtures on inclines of particular relevance to the current crude oil spill. In addition to basic time-dependent flow problems the study considers oil-water mixtures and periodic time dependent shear such as what might result from wave motion and tidal forces on beaches.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: RAPID: Rapid computational modeling of wildfires and management with emphasis on human activity
-
批准号:2345256
-
项目类别:Standard Grant
-
资助金额:$10.0万
-
财政年份:2023
-
负责人:Andrea Bertozzi
-
依托单位:
ATD: Active Learning Activity Detection in Multiplex Networks of Geospatial-Cyber-Temporal Data
-
批准号:2318817
-
项目类别:Standard Grant
-
资助金额:$10.0万
-
财政年份:2023
-
负责人:Andrea Bertozzi
-
依托单位:
Collaborative Research: Differential Equations Motivated Multi-Agent Sequential Deep Learning: Algorithms, Theory, and Validation
-
批准号:2152717
-
项目类别:Standard Grant
-
资助金额:$20.0万
-
财政年份:2022
-
负责人:Andrea Bertozzi
-
依托单位:
RAPID: Analysis of Multiscale Network Models for the Spread of COVID-19
-
批准号:2027438
-
项目类别:Standard Grant
-
资助金额:$20.0万
-
财政年份:2020
-
负责人:Andrea Bertozzi
-
依托单位:
FRG: Collaborative Research: Robust, Efficient, and Private Deep Learning Algorithms
-
批准号:1952339
-
项目类别:Standard Grant
-
资助金额:$43.48万
-
财政年份:2020
-
负责人:Andrea Bertozzi
-
依托单位:
ATD: Algorithms for Threat Detection in Knowledge Graphs
-
批准号:2027277
-
项目类别:Standard Grant
-
资助金额:$60.71万
-
财政年份:2020
-
负责人:Andrea Bertozzi
-
依托单位:
NRT-HDR: Modeling and Understanding Human Behavior: Harnessing Data from Genes to Social Networks
-
批准号:1829071
-
项目类别:Standard Grant
-
资助金额:$300.0万
-
财政年份:2018
-
负责人:Andrea Bertozzi
-
依托单位:
ATD: Sparsity Models for Forecasting Spatio-Temporal Human Dynamics
-
批准号:1737770
-
项目类别:Standard Grant
-
资助金额:$56.45万
-
财政年份:2017
-
负责人:Andrea Bertozzi
-
依托单位:
Extreme-scale algorithms for geometric graphical data models in imaging, social and network science
-
批准号:1417674
-
项目类别:Continuing Grant
-
资助金额:$30.0万
-
财政年份:2014
-
负责人:Andrea Bertozzi
-
依托单位:
Collaborative Research: Modeling, Analysis, and Control of the Spatio-temporal Dynamics of Swarm Robotic Systems
-
批准号:1435709
-
项目类别:Standard Grant
-
资助金额:$25.0万
-
财政年份:2014
-
负责人:Andrea Bertozzi
-
依托单位:
Particle laden flows - theory, analysis and experiment
-
批准号:1312543
-
项目类别:Continuing Grant
-
资助金额:$28.0万
-
财政年份:2013
-
负责人:Andrea Bertozzi
-
依托单位:
California Research Training Program in Computational and Applied Mathematics
-
批准号:1045536
-
项目类别:Continuing Grant
-
资助金额:$200.0万
-
财政年份:2011
-
负责人:Andrea Bertozzi
-
依托单位:
FRG: Collaborative Research: Mathematics of large scale urban crime
-
批准号:0968309
-
项目类别:Standard Grant
-
资助金额:$94.62万
-
财政年份:2010
-
负责人:Andrea Bertozzi
-
依托单位:
CDI Type I: Real-time adaptive imaging algorithms for atomic force microscopy
-
批准号:0940417
-
项目类别:Standard Grant
-
资助金额:$63.0万
-
财政年份:2010
-
负责人:Andrea Bertozzi
-
依托单位:
BECS: Collaborative Research: Characterization and Control of Emergent Behavior in Complex Systems
-
批准号:1024765
-
项目类别:Standard Grant
-
资助金额:$8.62万
-
财政年份:2010
-
负责人:Andrea Bertozzi
-
依托单位:
Dynamics of aggregation and collapse in multidimensional swarming models
-
批准号:0907931
-
项目类别:Continuing Grant
-
资助金额:$40.0万
-
财政年份:2009
-
负责人:Andrea Bertozzi
-
依托单位:
Algorithms for Threat Detection (ATD): adaptive sensing and sensor fusion for real time chemical and biological threats
-
批准号:0914856
-
项目类别:Standard Grant
-
资助金额:$45.0万
-
财政年份:2009
-
负责人:Andrea Bertozzi
-
依托单位:
Research Training Group in Applied Differential Equations and Scientific Computing (EMSW21-RTG)
-
批准号:0601395
-
项目类别:Continuing Grant
-
资助金额:$132.0万
-
财政年份:2006
-
负责人:Andrea Bertozzi
-
依托单位:
ACT/SGER: Object Identification and Classification in Aerial Images
-
批准号:0442037
-
项目类别:Standard Grant
-
资助金额:$0.0万
-
财政年份:2004
-
负责人:Andrea Bertozzi
-
依托单位:
Collaborative proposal: Focused Research Group on Fundamental Problems in the Dynamics of Thin Viscous Films and Fluid Interfaces
-
批准号:0074049
-
项目类别:Standard Grant
-
资助金额:$78.2万
-
财政年份:2000
-
负责人:Andrea Bertozzi
-
依托单位:
国内基金
海外基金
Galaxy Analytical Modeling
Evolution (GAME) and cosmological
hydrodynamic simulations.
-
批准号:
-
项目类别:省市级项目
-
资助金额:10.0万元
-
批准年份:2025
-
负责人:Antonios Katsianis
-
依托单位: