Reaching and fulfilling several design and crash criteria during the development process is what makes the engineer adapt and redesign the simulation model over and over again. Ideally resulting in new simulation runs with in best case improved performance, matching the intention of the applied changes. For the more demanding case of unforeseen results which do not necessarily fit to the expectations of the actual changes, methods and a workflow are being introduced here, which allow to identify the root cause of this behavior.
When major design changes are required to satisfy product performance late in the development process, significant cost and time are required to implement them. This is a particular problem in automotive development which requires a large amount time and cost. To alleviate this, automotive manufacturers have adopted the concept of "front-loading" to identify problems early-on in the development process. “Front-loading” is defined as "the distribution of development costs or time in large proportions in the early stages of the design process”.
Endovascular aneurysm repair (EVAR) is a minimally invasive procedure for the treatment of abdominal aortic aneurysms that consists in stent graft deployment through the iliac arteries [1]. During this procedure, a stiff guidewire is introduced from the femoral artery towards the aorta to support the proper deployment of the stent graft. The insertion of the stiff wire triggers a straightening effect on the iliac arteries, smoothing out their natural tortuosity [2]. This morphological alteration is hard to be measured intraoperatively or be forecasted preoperatively [3]. The main bottleneck is that the preoperative Computed Tomography (CT) does not get updated during the operation. Consequently, clinicians perform their maneuvers according to the initial aortic configuration and inject contrast in the vessel to visualize their configuration when it is needed. This practice could possibly lead to sub-optimal stent graft sizing, choice of the stent’s landing zone and to an increase in radiation exposure and contrast doses, especially in complex cases.
Modern passive safety development is associated with numerous simulations and hardware tests. In virtual development, multi-query analysis such as optimization, sensitivity analysis and robustness studies are performed. These methods require many simulation evaluations, which can make their application impractical for large simulation models. An approach to make the development process more efficient is Model Order Reduction (MOR) which uses already generated simulation data to build a Reduced-Order Model (ROM) and accelerate future simulations.
From automatic event detection to automatic cause correlation