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Python Programming | Trajectory Simulation Report

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Added on  2020-02-18

Python Programming | Trajectory Simulation Report

   Added on 2020-02-18

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Python Programming | Trajectory Simulation Report_1
Table of Contents1.Introduction.................................................................................................................................22.Methods........................................................................................................................................23.Results..........................................................................................................................................24.Discussion.....................................................................................................................................65.Conclusion...................................................................................................................................61.IntroductionThe study is undertaken to simulate the descent trajectory of a recreational skydiver. Pythoncode needs to be created for the simulation of skydiver’s jump, based on some given conditions.The investigation will be made on how the trajectory is affected by various parameters. Theresearch question are provided with solution and screenshots generated. The purpose of the research1
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is to show how much the trajectry of a skydriver is getting affected when numerous elements areprovided. 2.MethodsThe code is done in Spyder. The generated outcome in the code of python (Hetland, 2010). thestudy is done and technical specifications include Spyder. the standard methods for the simulationof the descent trajectory of a recreational skydiver is used (Lutz, n.d.). The taks are doneaccordingly. all the techniques for the simulation of the trajectory is used in python code. theneeded modifications are made in the standard techniques. 5 related samples were taken and usedfor the simulation (Hammond & Robinson, 2000). Simulation Many areas of the simulation domain are different if just a single slice of the simulation domainapproximately a small particle trajectory. The different regions also behave different with respect tothe trajectory calculation it is used to calculate the trajectory at once and it copy to the otherdifferent regions. This type of method will be interpreting as calculating one Dimensionalsimulation and distribution them over a greater Dimensional simulation domain as possible("Skydiving", 2017).Trajectory-Simulation ModelThe overall velocity of skydiver in a horizontal and vertical plane was basically divided into height dependent, horizontally homogeneous defines the horizontal velocity and also fluctuating with turbulent velocities ("skydiving | sport", 2017). Considering the skydiver position and the velocity association called as Makov process, the following equation are the langevin model for a skydiver and velocity. Equation (1) as follows.The probability Density of skydiver is p(x, z, U, w, t) that the fluid element “occupies” a given location in a phase space. It go forward to deterministically, and for the specific model (1) selected here is governed through the Fokker Planck calculation:2
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Equation (2)The following are the solution of the equation 2.Equation (3)Equation (4)The following equation is the sample solution of the equation 3 which should met the condition of the equation 4.3.Results The simulation for the descent trajectory of a skydiver is generated using Spyder. The Python code is attached in the implementation part. The simulation for the skydiver's jump is basedon the provided conditions. The code generated in python. Task 3The free body diagrams showing the forces acting on the skydiver during the jump (McNeil,2010).It consist of a simplified form of the bodyI.The forces and moments are showed by the free body diagram.II.The forces shown as direct arrows pointing in the way and they reflects on the body3
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