Modeling and Computation of Flow-Structure Interaction in Multi-Phase and Complex Fluids
Modeling and Computation of Flow-Structure Interaction in Multi-Phase and Complex Fluids
批准号:
0311911
负责人:
Hector Ceniceros
金额:
$10.47万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-07-15 至 2006-06-30
中文摘要
Ceniceros研究人员和合作者开发了两类现代的混合数值方法来研究二维和三维多相流的流固耦合作用,混合计算方法结合了两组通常不相交的方法,一方面是前沿捕获(通过水平集方法和基于相场的模型)和前沿跟踪(浸入边界设置),另一方面是移动网格和自适应网格加密,以产生一种有效的方法,充分利用每种方法的最佳特性。此外,控制自适应前沿跟踪InConcert和领先的小尺度半隐式时间离散化被用来克服长期存在的与界面张力相关的时步问题(刚度),所有这些因素的结合产生了完全自适应的非刚性混合方法,用于精确捕捉多相复杂流动中的小尺度效应、高界面变形和流-结构相互作用。了解流-结构相互作用如何影响多相流的宏观行为,具有重要的理论意义和实际意义。表面活性剂、粘弹性纤维、流体界面、聚合物微结构和纳米结构可以从根本上改变流动的行为,并最终决定复杂软物质配方的性质。这些方法是研究流动-结构相互作用的重要工具,这些问题与纳米技术、软性材料工业和一些生物医学应用直接相关。该项目还服务于一个重要的教育目标:本科生和研究生的跨学科教育和培养。
英文摘要
Ceniceros The investigator and collaborators develop two classes ofmodern, hybrid numerical methods to study fluid-structureinteraction for multi-phase flows in two and three dimensions.The hybrid computational methodologies merge two sets of usuallydisjoint approaches, front capturing (both through the level setmethod and through phase field based models) and front tracking(immersed boundary setting) on one hand, and moving meshes andadaptive mesh refinements on the other, to produce an efficientmethod that exploits the best features of each individualapproach. In addition, controlled adaptive front-tracking inconcert with a leading small-scales semi-implicit timediscretization is used to overcome the long-standing timestepping problem (stiffness) associated with interfacial tension.The blending of all these ingredients produces fully adaptiveand non-stiff hybrid methods for capturing accurately small-scaleeffects, high interfacial deformations, and flow-structureinteraction in multi-phase and complex flows. The understanding of how flow-structure interactioninfluences the macroscopic behavior of multi-phase flows is ofboth fundamental and practical significance. Surfactants,viscoelastic fibers, fluid interfaces, and polymericmicrostructures and nanostructures can radically change thebehavior of a flow and ultimately determine the properties ofcomplex soft matter formulations. The methodologies are animportant tool to study flow-structure interaction for a widevariety of problems of direct interest to nanotechnology, thesoft materials industry, and to some biomedical applications. Theproject also serves an important education goal: theinterdisciplinary education and training of undergraduate andgraduate students.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Smart Data Approaches for the Inverse Design of Soft Materials
-
批准号:1818821
-
项目类别:Continuing Grant
-
资助金额:$20.0万
-
财政年份:2018
-
负责人:Hector Ceniceros
-
依托单位:
Multiscale Approaches for the Dynamics and Rheology of Magnetic Fluids
-
批准号:1317684
-
项目类别:Standard Grant
-
资助金额:$40.52万
-
财政年份:2013
-
负责人:Hector Ceniceros
-
依托单位:
Scholarships for Transfers to Engage and Excel in Mathematics (STEEM)
-
批准号:0966388
-
项目类别:Standard Grant
-
资助金额:$60.0万
-
财政年份:2010
-
负责人:Hector Ceniceros
-
依托单位:
Innovative methods for the dynamics of immersed structures in complex fluids
-
批准号:1016310
-
项目类别:Continuing Grant
-
资助金额:$40.12万
-
财政年份:2010
-
负责人:Hector Ceniceros
-
依托单位:
Adaptive, Non-stiff, and Stochastic Methods for Phase Field Fluid Models
-
批准号:0609996
-
项目类别:Standard Grant
-
资助金额:$22.54万
-
财政年份:2006
-
负责人:Hector Ceniceros
-
依托单位:
国内基金
海外基金
基于分位数g-computation的多污染物联合空气质量健康指数构建及预测效果评价
-
批准号:--
-
项目类别:青年科学基金项目
-
资助金额:30万元
-
批准年份:2022
-
负责人:李嘉琛
-
依托单位:
基于g-computation控制纵向数据未测混杂因素的因果推断模型构建及应用研究
-
批准号:81903416
-
项目类别:青年科学基金项目
-
资助金额:19.0万元
-
批准年份:2019
-
负责人:陈永杰
-
依托单位: