Modeling and Analysis of Liquid Sloshing and Its Effects on Vehicle Stability

液体晃动建模与分析及其对车辆稳定性的影响

• 批准号: 1632302
• 负责人: Ahmed Shabana
• 金额: $ 45万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1632302&HistoricalAwards=false
• 关键词: Modeling; Analysis; Liquid; Sloshing; Its

Liquid sloshing has a significant impact on the dynamics and stability of highway, rail, marine, and space transportation systems. Nonetheless, because of the lack of computational algorithms and high fidelity models necessary to develop the knowledge and better understanding of the sloshing effect on vehicle dynamics and stability, transportation of hazardous materials has resulted in deadly, costly, and environmentally damaging accidents. Liquid can produce significant forces as the results of the interaction with containers and/or tank cars mounted on trucks, aircraft, railroad vehicles, missiles, rockets, offshore structures, and marine applications among many others. Existing simple liquid sloshing approaches commonly used are not designed for complex motion scenarios. While the use of computational algorithms is necessary to predict the response of detailed vehicle models, there is no in existence today an efficient and accurate continuum-based liquid sloshing approach to quantify the sloshing effect which can be significant during curve negotiations, rapid lane changes, and acceleration and braking scenarios. This award supports fundamental research to develop the first generation of liquid sloshing computational algorithms for modeling complex motion scenarios, developing safety guidelines, and accurate accident reconstructions. In particular, hazardous material accidents, which result in significant economic loss, environmental contamination, loss of lives, and property damage, can be avoided or significantly reduced through better understanding of the effect of sloshing on highway, rail, marine, and space transportation systems. This project will also lead to the development of new knowledge, approaches, and tools that can be used in the education of senior undergraduate and graduate students at University of Illinois at Chicago which is designated as a minority serving institution. The use of efficient continuum-based liquid sloshing models that capture the liquid distributed inertia and viscosity can overcome the limitations of existing liquid sloshing models. To this end, new liquid sloshing models will be developed and integrated with multibody system (MBS) algorithms that allow for developing and solving the differential/algebraic equations of vehicle models that include significant details. In order to achieve efficient integration of liquid sloshing/MBS algorithms and avoid the difficulties of integrating existing Eulerian-based fluid formulations with the Lagrangian-based MBS algorithms, new total-Lagrangian non-incremental liquid sloshing solution procedures will be introduced. Three different liquid sloshing approaches will be developed; the finite element (FE) absolute nodal coordinate formulation (ANCF) will be used to develop high fidelity MBS models, the floating frame of reference (FFR) formulation will be used to develop low-order MBS models, and the smoothed particle hydrodynamics (SPH) method will be used to develop a different model to assess the effect of the liquid turbulence on vehicle dynamics. The Lagrangian approaches will allow for accurately capturing the effect of the fluid inertia in complex vehicle motion scenarios.

液体晃动对公路、铁路、海洋和航天运输系统的动力学和稳定性具有重大影响。尽管如此，由于缺乏必要的计算算法和高保真模型来发展知识和更好地理解晃动对车辆动力学和稳定性的影响，危险材料的运输导致了致命的、代价高昂的和环境破坏的事故。由于与安装在卡车、飞机、铁路车辆、导弹、火箭、海上结构和海洋应用等上的集装箱和/或油罐车相互作用，液体可以产生巨大的力。现有常用的简单液体晃动方法并不是针对复杂的运动场景而设计的。虽然使用计算算法对于预测详细车辆模型的响应是必要的，但目前不存在一种高效且准确的基于连续体的液体晃动方法来量化晃动效应，这种效应在弯道谈判、快速变道以及加速和制动场景中可能很重要。该奖项支持基础研究，开发第一代液体晃动计算算法，用于建模复杂的运动场景、制定安全指南和准确的事故重建。特别是，通过更好地了解晃动对公路、铁路、海洋和航天运输系统的影响，可以避免或显着减少导致重大经济损失、环境污染、生命损失和财产损失的危险材料事故。该项目还将开发新的知识、方法和工具，用于伊利诺伊大学芝加哥分校高年级本科生和研究生的教育，该大学被指定为少数族裔服务机构。使用有效的基于连续介质的液体晃动模型来捕获液体分布的惯性和粘度可以克服现有液体晃动模型的局限性。为此，将开发新的液体晃动模型，并将其与多体系统（MBS）算法集成，以便开发和求解包含重要细节的车辆模型的微分/代数方程。为了实现液体晃动/MBS算法的有效集成，并避免现有基于欧拉的流体公式与基于拉格朗日的MBS算法集成的困难，将引入新的全拉格朗日非增量液体晃动求解程序。将开发三种不同的液体晃动方法；有限元（FE）绝对节点坐标公式（ANCF）将用于开发高保真MBS模型，浮动参考系（FFR）公式将用于开发低阶MBS模型，平滑粒子流体动力学（SPH）方法将用于开发不同的模型以评估液体湍流对车辆动力学的影响。拉格朗日方法将能够准确捕捉复杂车辆运动场景中流体惯性的影响。

项目成果

Geometrically accurate infinitesimal-rotation spatial finite elements

• DOI: 10.1177/1464419318774948
• 发表时间: 2018-06
• 期刊: Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics
• 作者: A. Shabana

Evaluation of breaking wave effects in liquid sloshing problems: ANCF/SPH comparative study

• DOI: 10.1007/s11071-019-04927-5
• 发表时间: 2019-07
• 期刊: Nonlinear Dynamics
• 影响因子: 5.6
• 作者: Mohammed M. Atif;S. Chi;E. Grossi;A. Shabana

ANCF Multiplicative-Decomposition Thermoelastic Approach for Arbitrary Geometry

• DOI: 10.1061/(asce)st.1943-541x.0003001
• 发表时间: 2021-07
• 期刊: Journal of Structural Engineering
• 影响因子: 4.1
• 作者: A. Shabana;Dayu Zhang

ANCF analysis of the crude oil sloshing in railroad vehicle systems

• DOI: 10.1016/j.jsv.2018.06.035
• 发表时间: 2018-10
• 期刊: Journal of Sound and Vibration
• 影响因子: 4.7
• 作者: E. Grossi;A. Shabana

Frenet force analysis in performance evaluation of railroad vehicle systems

• DOI: 10.1007/s00707-021-03045-x
• 发表时间: 2021-08
• 期刊: Acta Mechanica
• 影响因子: 2.7
• 作者: Dario Bettamin;A. Shabana;N. Bosso;Nicolò Zampieri