valentindbdg
Data analytics & Machine Learning - Business & Management - Mechanical Engineering
France
Pinned Repositories
AB-testing
Perform A/B testing with Python
Awards
Certifications
All my certifications
Cooperation-Qualcomm-Smile-Detection-on-Android-Phone
Data-Analytics-Clustering
Deep-dive-in-ML-models
DeepDreamExperiments
Diploma
End-to-end-ML-project-using-TFX
SPH-Smoothed-Particle-Hydrodynamics-Method
A short report presenting research concerning a modeling method used in mechanical engineering. Problems with more than one material are often trivial for the SPH method because each material is described by its own set of particles. In addition to that, SPH can be used for many types of simulation such as huge deformation simulation, penetration simulation, machining simulation because, unlike the Finite Element method, the elements (particles) of the SPH method can be separated. This method is also used for fluid and astrophysics simulations. Unlike the Eulerian method, SPH allows having mass conservation and pressures without extra computation. The masses are contained in each particle and the pressures are given by the mathematical link between neighboring particles instead of solving linear equations. Besides, for Eulerian simulation method, we need boundary conditions which may be unknown (like stars), a problem that the SPH method does not have. However, the perfect simulation method does not exist. The SPH method still have some drawbacks, the computing time, the consistence at the boundaries (one of the issues we solved in this paper), the tensile instability and the spurious energy mode. This project is about performing researches about the SPH method, learning how it works mathematically speaking and give the mathematical parameters expressions in order to be able to run a simulation afterwards.
valentindbdg's Repositories
valentindbdg/SPH-Smoothed-Particle-Hydrodynamics-Method
A short report presenting research concerning a modeling method used in mechanical engineering. Problems with more than one material are often trivial for the SPH method because each material is described by its own set of particles. In addition to that, SPH can be used for many types of simulation such as huge deformation simulation, penetration simulation, machining simulation because, unlike the Finite Element method, the elements (particles) of the SPH method can be separated. This method is also used for fluid and astrophysics simulations. Unlike the Eulerian method, SPH allows having mass conservation and pressures without extra computation. The masses are contained in each particle and the pressures are given by the mathematical link between neighboring particles instead of solving linear equations. Besides, for Eulerian simulation method, we need boundary conditions which may be unknown (like stars), a problem that the SPH method does not have. However, the perfect simulation method does not exist. The SPH method still have some drawbacks, the computing time, the consistence at the boundaries (one of the issues we solved in this paper), the tensile instability and the spurious energy mode. This project is about performing researches about the SPH method, learning how it works mathematically speaking and give the mathematical parameters expressions in order to be able to run a simulation afterwards.
valentindbdg/AB-testing
Perform A/B testing with Python
valentindbdg/Awards
valentindbdg/Certifications
All my certifications
valentindbdg/Cooperation-Qualcomm-Smile-Detection-on-Android-Phone
valentindbdg/Data-Analytics-Clustering
valentindbdg/Deep-dive-in-ML-models
valentindbdg/DeepDreamExperiments
valentindbdg/Diploma
valentindbdg/End-to-end-ML-project-using-TFX
valentindbdg/Improve-Yolo-Perfomance-Data-Centric-Approach
Yolo v3 / v4 performance improved using a data-centric approach.
valentindbdg/ML_models_from_scratch
Implementation of ML models from scratch using Python.
valentindbdg/Revenue-and-opportunity-dashboards-and-insights
Revenue and week-on-week opportunity dashboards are created using SQL Server and Power BI
valentindbdg/Sentiment-Analysis
Sentiment analysis based on 3 sources