Our software is a cloud-based computational tool that automates the entire process of flow simulation and design optimization by building the computational model without human intervention.
Proprietary, self-learning algorithms, which form the core of Ingrid Cloud, enable the automation of the entire simulation process, increasing accuracy and eliminating costly process repetition due to human error. The algorithms also reduce computing costs, since they optimize the usage of computational resources.
The foundation of Ingrid Cloud is Adaptive Simulations’ ground-breaking Computational Fluid Dynamics (CFD) framework, which uses the Finite Element Method (FEM) together with adaptive mesh refinement based on adjoint techniques and a posteriori error estimation. Since 2010, Adaptive Simulations’ technology has been regularly validated in benchmark workshops organized by the American Institute of Aeronautics and Astronautics (AIAA) and by NASA. The team behind Adaptive Simulations has dedicated over 30 person-years of research to:
The technology is based on two unique innovations that provide superior capabilities. The method resulting from these innovations has no adjustable parameters, and no ad hoc design of the mesh is needed, enabling full automation of the simulation workflow. The capabilities are: