Aerodynamic Force Model for Real-Time Physics Simulation
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Solution Overview
Problem
Existing real-time aerodynamic models for physics simulations are computationally inefficient and lack accuracy in simulating complex airflow phenomena, such as turbulence and interactions between multiple objects.
Innovation Solution
A computer-implemented method and system that evaluates an aerodynamic force model for real-time distributed physics simulation by identifying exposed surface areas of geometric assemblies, using a pressure coefficient that varies with angle of attack and surface orientation, and integrating these forces into a physics simulation to refine motion data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-fidelity computational simulations are used to solve complex equations for detailed airflow behavior, then aerodynamic accuracy is improved, but computational processing time and resources increase significantly
Solution Approach 1:
The mechanism is divided into multiple geometric assemblies, each with its own surface mesh. The aerodynamic force model is evaluated independently for each assembly based on its exposed surface areas and motion data, allowing parallel computation and reducing overall processing time while maintaining accuracy through distributed evaluation
Solution Approach 2:
The pressure coefficient is modeled as a variable parameter that changes based on angle of attack and windward/leeward surface orientation. This allows the system to adapt aerodynamic calculations to different flow conditions without requiring full high-fidelity simulations for every scenario, reducing computational cost while maintaining accuracy
2Loss of time
If simplified aerodynamic models are used to approximate air interactions, then computational processing time is reduced, but accuracy in simulating complex phenomena like turbulence and wake effects deteriorates
Solution Approach 1:
The aerodynamic force model dynamically adapts to different flow conditions by adjusting the pressure coefficient based on real-time angle of attack and surface orientation data. This dynamic adjustment allows the simplified model to capture complex phenomena like turbulence and wake effects appropriately for each simulation scenario, maintaining accuracy without requiring computationally expensive high-fidelity simulations
Solution Approach 2:
Different regions of the surface mesh are treated differently based on their exposure to airflow. Exposed surface areas are identified and evaluated with appropriate aerodynamic models, while non-exposed areas are excluded from calculations. This local differentiation allows accurate simulation of complex airflow phenomena where needed while using simplified models where appropriate, balancing accuracy and computational efficiency
3Productivity
If precomputed lookup tables and interpolation methods are used to enhance performance, then computational efficiency is improved, but adaptability to changes in object geometry or environmental conditions deteriorates
Solution Approach 1:
The system precomputes and stores aerodynamic data for various configurations in lookup tables during an offline phase. During real-time simulation, the system queries these precomputed tables based on current angle of attack and surface orientation, achieving fast lookups without requiring complex real-time calculations. This preliminary action enables both high computational efficiency and adaptability to changing conditions
4Measurement precision
If aerodynamic force models are applied to all surface mesh areas, then completeness of aerodynamic analysis is improved, but computational complexity increases
Solution Approach 1:
The system extracts and identifies only the exposed surface areas of each geometric assembly that are actually interacting with airflow. Non-exposed surface areas are excluded from aerodynamic force calculations. This extraction approach maintains complete aerodynamic analysis for relevant surfaces while significantly reducing computational complexity by eliminating unnecessary calculations for hidden or non-interacting surfaces
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables accurate and efficient simulation of aerodynamic forces on complex mechanisms in real-time, maintaining computational efficiency while providing high-fidelity aerodynamic analysis, suitable for applications like flight simulation.
Implementation Method 1
an aerodynamic force model is evaluated based on the exposed surface areas and the motion data of the mechanism, where the aerodynamic force model includes a pressure coefficient that varies based on an angle of attack and based on windward and leeward facing surfaces
Implementation Method 2
The aerodynamic force models are integrated into a physics simulation to refine the motion data of the mechanism
Data Source
AI summary
Some implementations relate to methods, systems and computer readable media to provide an aerodynamic force model for real-time distributed physics simulation. According to one aspect, a computer-implemented method includes receiving a description of a mechanism that includes physically coupled geometric assemblies within a virtual experience, with each geometric assembly defining a surface mesh. The description includes motion data of the mechanism. The method further includes, for each geometric assembly, identifying exposed surface areas of the surface mesh. The method further includes evaluating an aerodynamic force model based on the exposed surface areas and the motion data of the mechanism, where the aerodynamic force model includes a pressure coefficient that varies based on an angle of attack and based on windward and leeward facing surfaces. The method further includes integrating the aerodynamic force models into a physics simulation to refine the motion data of the mechanism.