Developed Python classes for motorcycle circuit analysis

• Day: 2023-09-07
• Time: 06:55 to 10:15
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Motorcycle, Physics, Interpolation, Circuit, Numerical Analysis

Description

Session Goal

The session focused on enhancing the understanding and computational modeling of motorcycle dynamics, specifically in the context of circuit racing.

Key Activities

• Explored the physics of motorcycle turns, including centripetal force and lean angles, to understand safety and handling.
• Derived mathematical equations for net horizontal force and lean angle calculations.
• Developed Python code for numerical analysis using scipy to calculate lean angles and time for half-circle curves.
• Created a Python class Circuito for modeling motorcycle circuits, incorporating features like average speed, total time, and total distance calculations.
• Implemented cubic spline and Akima interpolation methods for circuit speed profiles.
• Addressed and corrected errors in the Python code related to velocity calculations and [[data visualization]] using Matplotlib.

Achievements

• Successfully implemented and debugged Python code for complex motorcycle circuit analysis.
• Improved interpolation techniques for more accurate speed and time calculations.

Pending Tasks

• Further refine the interpolation models to enhance accuracy in different circuit conditions.
• Explore additional error handling mechanisms for edge cases in velocity and distance calculations.

Evidence

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• event_ids: []