Development of In-Plane Truck Tire-Flooded Surface Interaction Models Using FEA-SPH Techniques

2018 ◽  
Author(s):  
Zeinab El-Sayegh ◽  
Moustafa El-Gindy ◽  
Inge Johansson ◽  
Fredrik Öijer
Keyword(s):  
Rolling Resistance ◽  
Resistance Coefficient ◽  
Operating Conditions ◽  
Published Data ◽  
Model Parameters ◽  
Element Analysis ◽  
Truck Tire ◽  
Out Of Plane ◽  
Particle Hydrodynamics ◽  
Smoothed Particle

The performance of a vehicle highly depends on the tire-terrain interaction characteristics. The terrain on which a vehicle operates can vary dramatically. This paper focuses on the evaluation of an in-plane truck tire performance running over the flooded surface. The truck tire is modeled using Finite Element Analysis (FEA) technique and validated against measured data. The water is modeled using Smoothed Particle Hydrodynamics (SPH), which includes water material properties. The tire-terrain interaction algorithm is defined using node-symmetric node-to-segment contact with edge treatment. The performance characteristics of the interaction include the rolling resistance coefficient, vertical, longitudinal tread and longitudinal tire stiffnesses. The simulations are repeated for several operating conditions such as inflation pressure, applied vertical load, and water depth. The flooded surface results are compared with previously published data. This work will be extended to include the prediction of the full in-plane and out-of-plane rigid ring tire model parameters while the tire is operating under various conditions.

Prediction of Out-of-Plane Rigid Ring Truck Tire Model Parameters Over Flooded Surface Using FEA-SPH Techniques

2019 ◽  
Author(s):  
Zeinab El-Sayegh ◽  
Moustafa El-Gindy ◽  
Inge Johansson ◽  
Fredrik Öijer
Keyword(s):  
Treatment Algorithm ◽  
Operating Conditions ◽  
Dynamic Responses ◽  
Model Parameters ◽  
Tire Model ◽  
Element Analysis ◽  
Rigid Ring ◽  
Ring Model ◽  
Truck Tire ◽  
Out Of Plane

Abstract This paper focuses on predicting the out-of-plane rigid ring model parameters of an off-road truck tire running over a flooded surface. The truck tire size 315/80R22.5 used in this study is modeled using Finite Element Analysis (FEA) technique and validated in static and dynamic responses. The flooded surface is modeled using Smoothed-Particle Hydrodynamics (SPH) technique and Murnaghan equation of state. The contact between the truck tire and a flooded surface is defined using node-symmetric node-to segment contact with edge treatment algorithm. The out-of-plane rigid ring tire model parameters include the lateral stiffness, cornering stiffness, self-aligning moment stiffness, and relaxation length. The out-of-plane rigid ring model parameters are computed at different operating conditions including various inflation pressures, vertical loads and water depth. The effect of the previously mentioned operating conditions on the tire-flooded surface interaction is examined and investigated.

Modelling and prediction of tyre–snow interaction using finite element analysis–smoothed particle hydrodynamics techniques

2018 ◽  
Vol 233 (7) ◽  
pp. 1783-1792 ◽  
Author(s):  
Zeinab El-Sayegh ◽  
Moustafa El-Gindy
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Smoothed Particle Hydrodynamics ◽  
Resistance Coefficient ◽  
Operating Conditions ◽  
Element Analysis ◽  
Motion Resistance ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Truck Tyre

This paper focuses on the modelling and prediction of truck tyre–snow interaction to compute tyre motion resistance coefficient. The off-road truck tyre size 315/80R22.5 is modelled using finite element analysis and validated in static and dynamic response against published measured data. The snow is modelled using smoothed particle hydrodynamics technique and hydrodynamic-elastic-plastic material and then calibrated against physical measurements provided by published terramechanics data. The contact algorithm implemented is the node-symmetric node-to-segment contact with edge treatment. The rolling resistance coefficient is also known as the motion resistance coefficient of the truck tyre–snow interaction and is computed for several operating conditions including the vertical load, inflation pressure, tyre longitudinal speed, and snow depth. The influence of the above-mentioned operating conditions on the truck tyre motion resistance coefficient is examined and discussed.

Sensitivity Analysis of Smoothed Particle Hydrodynamics in PAM-CRASH for Modeling of Soft Soils

2013 ◽  
Author(s):  
Ranvir Dhillon ◽  
Moustafa El-Gindy ◽  
Rustam Ali ◽  
David Philipps ◽  
Fredrik Öijer ◽  
...  
Keyword(s):  
Smoothed Particle Hydrodynamics ◽  
Soft Soil ◽  
Strength Criterion ◽  
Model Parameters ◽  
Rapid Progression ◽  
Element Analysis ◽  
Particle Modeling ◽  
Modeling Techniques ◽  
Particle Hydrodynamics ◽  
Smoothed Particle

The rapid progression of computational power and development of non-mesh particle modeling techniques provides solutions to problems which are not accurately modeled using traditional finite element analysis techniques. The field of soft soil modeling has been pressing on in recent years and the smoothed particle hydrodynamics (SPH) modeling method in PAM-CRASH provides opportunity for further advancement in accuracy. This research focuses on the development of soft soil models using SPH with verification using pressure-sinkage and shear strength criterion. Soil model parameters such as geometry and contact model are varied to determine the effect of the parameters on the behaviour of the soft soil and relationships are developed. The developed virtual soil models are compared against existing soils to determine which soils are accurately modeled and further refinements are made to validate the models with existing empirical data.

Off-Road Tire-Soil Modeling Using Finite Element Analysis Technique

2009 ◽  
Author(s):  
Jeff Slade ◽  
Moustafa El-Gindy ◽  
Ryan Lescoe ◽  
Fredrik O¨ijer ◽  
Mukesh Trivedi ◽  
...  
Keyword(s):  
Published Data ◽  
Element Analysis ◽  
Rigid Ring ◽  
Dense Sand ◽  
Ring Model ◽  
Truck Tire ◽  
Analysis Technique ◽  
Out Of Plane ◽  
Wheel Model ◽  
Soil Flow

A new rigid ring model with additional parameters was developed to model an off-road tire running on soil. In order to create this new rigid ring model, an FEA off-road truck tire was created and used to determine the in-plane and out-of-plane parameters for a tire running on soil. The soil, dense sand in this case, was modeled as an elastic-plastic solid with material properties obtained from published data. The longitudinal forces and the normal stress and shear stress distributions in the soil are compared with published data as preliminary validation. The general trends of soil flow from a rigid wheel model running on soil were used to validate the soil model. In addition, a model of a standard circular plate was used to determine the vertical pressure-sinkage curves and then these simulations were compared with available published measured data.

Pipeline Dent Management Program

2002 ◽  
Author(s):  
Scott D. Ironside ◽  
L. Blair Carroll
Keyword(s):  
Finite Element ◽  
Oil And Gas ◽  
Selection Process ◽  
Element Model ◽  
Field Trials ◽  
Management Program ◽  
Operating Conditions ◽  
Published Data ◽  
Element Analysis ◽  
The Past

Enbridge Pipelines Inc. operates the world’s longest and most complex liquids pipeline network. As part of Enbridge’s Integrity Management Program In-Line Inspections have been and will continue to be conducted on more than 15,000 km of pipeline. The Inspection Programs have included using the most technologically advanced geometry tools in the world to detect geometrical discontinuities such as ovality, dents, and buckles. During the past number of years, Enbridge Pipelines Inc. has been involved in developing a method of evaluating the suitability of dents in pipelines for continued service. The majority of the work involved the development of a method of modeling the stresses within a dent using Finite Element Analysis (FEA). The development and validation of this model was completed by Fleet Technology Limited (FTL) through several projects sponsored by Enbridge, which included field trials and comparisons to previously published data. This model combined with proven fracture mechanics theory provides a method of determining a predicted life of a dent based on either the past or future operating conditions of the pipeline. CSA Standard Z662 – Oil and Gas Pipeline Systems provides criteria for the acceptability of dents for continued service. There have been occurrences, however, where dents that meet the CSA acceptability criteria have experienced failure. The dent model is being used to help define shape characteristics in addition to dent depth, the only shape factor considered by CSA, which contribute to dent failure. The dent model has also been utilized to validate the accuracy of current In-Line Inspection techniques. Typically a dent will lose some of its shape as the overburden is lifted from the pipeline and after the indentor is removed. Often there can be a dramatic “re-rounding” that will occur. The work included comparing the re-rounded dent shapes from a Finite Element model simulating the removal of the constraint on the pipe to the measured dent profile from a mold of the dent taken in the field after it has been excavated. This provided a measure of the accuracy of the tool. This paper will provide an overview of Enbridge’s dent management program, a description of the dent selection process for the excavation program, and a detailed review of the ILI validation work.

scholarly journals Mechanism of Coup and Contrecoup Injuries Induced by a Knock-Out Punch

2020 ◽  
Vol 25 (2) ◽  
pp. 22 ◽  
Author(s):  
Milan Toma ◽  
Rosalyn Chan-Akeley ◽  
Christopher Lipari ◽  
Sheng-Han Kuo
Keyword(s):  
Cerebrospinal Fluid ◽  
Interaction Model ◽  
Brain Parenchyma ◽  
Primary Objective ◽  
Element Analysis ◽  
Knock Out ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
The Impact ◽  
The Brain

Primary Objective: The interaction of cerebrospinal fluid with the brain parenchyma in an impact scenario is studied. Research Design: A computational fluid-structure interaction model is used to simulate the interaction of cerebrospinal fluid with a comprehensive brain model. Methods and Procedures: The method of smoothed particle hydrodynamics is used to simulate the fluid flow, induced by the impact, simultaneously with finite element analysis to solve the large deformations in the brain model. Main Outcomes and Results: Mechanism of injury resulting in concussion is demonstrated. The locations with the highest stress values on the brain parenchyma are shown. Conclusions: Our simulations found that the damage to the brain resulting from the contrecoup injury is more severe than that resulting from the coup injury. Additionally, we show that the contrecoup injury does not always appear on the side opposite from where impact occurs.

Three-dimensional vibration of a ring with a noncircular cross-section on an elastic foundation

2017 ◽  
Vol 232 (13) ◽  
pp. 2381-2393 ◽  
Author(s):  
Zhe Liu ◽  
Fuqiang Zhou ◽  
Christian Oertel ◽  
Yintao Wei
Keyword(s):  
Elastic Foundation ◽  
Cross Section ◽  
Three Dimensional ◽  
Theoretical Formula ◽  
Variation Principle ◽  
Displacement Fields ◽  
Element Analysis ◽  
Noncircular Cross Section ◽  
Truck Tire ◽  
Out Of Plane

The three-dimensional dynamic equations of a ring with a noncircular cross-section on an elastic foundation are obtained using the Hamilton variation principle. In contrast to the previous rings on elastic foundation model, the developed model incorporates both the in-plane and out-of-plane bend and the out-of-plane torsion in displacement fields. The errors in the derivation of the initial stress and the work of the internal pressure in previous rings on elastic foundation models have been corrected. The mode expansion was used to obtain the analytical solution of the natural frequency. The initial motivation is to develop a theoretical model for car tire dynamics. Therefore, to validate the proposed model, the in-plane and out-of-plane vibrations of a truck tire have been analyzed using the proposed method. To further verify the accuracy of the model, the results of the theoretical formula are compared with the finite element analysis and modal test, and good agreement can be found.

scholarly journals Realistic computer modelling of stent retriever thrombectomy: a hybrid finite-element analysis-smoothed particle hydrodynamics model

2021 ◽  
Vol 18 (185) ◽  
Author(s):  
S. Mostafa Mousavi J. S. ◽  
Danial Faghihi ◽  
Kelsey Sommer ◽  
Mohammad M. S. Bhurwani ◽  
Tatsat R. Patel ◽  
...  
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Smoothed Particle Hydrodynamics ◽  
Computer Modelling ◽  
Blood Clot ◽  
Stent Retriever ◽  
Element Analysis ◽  
Hybrid Finite Element ◽  
Particle Hydrodynamics ◽  
Smoothed Particle

Stent retriever thrombectomy is a pre-eminent treatment modality for large vessel ischaemic stroke. Simulation of thrombectomy could help understand stent and clot mechanics in failed cases and provide a digital testbed for the development of new, safer devices. Here, we present a novel, in silico thrombectomy method using a hybrid finite-element analysis (FEA) and smoothed particle hydrodynamics (SPH). Inspired by its biological structure and components, the blood clot was modelled with the hybrid FEA–SPH method. The Solitaire self-expanding stent was parametrically reconstructed from micro-CT imaging and was modelled as three-dimensional finite beam elements. Our simulation encompassed all steps of mechanical thrombectomy, including stent packaging, delivery and self-expansion into the clot, and clot extraction. To test the feasibility of our method, we simulated clot extraction in simple straight vessels. This was compared against in vitro thrombectomies using the same stent, vessel geometry, and clot size and composition. Comparisons with benchtop tests indicated that our model was able to accurately simulate clot deflection and penetration of stent wires into the clot, the relative movement of the clot and stent during extraction, and clot fragmentation/embolus formation. In this study, we demonstrated that coupling FEA and SPH techniques could realistically model stent retriever thrombectomy.

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