Demand Papers: Data Assimilation in Computational Mechanics – Recent Advances and New Trends
Using experimental data in colaboration with simulation models is becoming anactive research subject. Indeed, new experimental facilities (for example digital image/volume correlation (DIC/DVC)) now enable to gather a sizable and diversified quantity of data, which enables you to identify and validate complex models, in order to enhance predictions produced by simulations tools. In addition, data and models are increasingly more intertwined to enhance understanding in applications coping with structural health monitoring and control for example, with potential real-time dialogue between simulators and connected physical systems (e.g., the DDDAS concept). However, many challenges coping with data filtering, computational cost, or statistical sturdiness have to be addressed to be able to incorporate data efficiently. Continue reading “Advanced Modeling and Simulation in Engineering Sciences”
Because the former developer from the DOE-2.1 and SPARK software, we’re now developing:
What’s 3D MODELING AND SIMULATION, And Just What Am I Going To LEARN?
Within an , I outlined a task to build up a Modeling & Simulation (M&S) timing model – being an alternate method of dedicated studies – to look for the ideal time to vaccinate women that are pregnant. This model could then be further used to predict infant antibody (Ab) levels at birth and eventually be utilized for an invaluable quantitative method of vaccine development.