High performance optimization

Exploitable results

One of the most important objectives of HIPOP was to not only calculate large real-world structures but to optimise them. With HIPOP, the optimisation software MSC (MacNeal-Schwender Corporation)/CONSTRUCT was enhanced to help: - reduce product development time significantly - improve components in their structure and mechanical behaviour - avoid time-consuming redesigns. HIPOP's main objective is the sound performance improvement of the topology and shape optimisation software MSC/CONSTRUCT through faster algorithms and performance improvement through the use of distributed parallel MSC/NASTRAN (PMN). As a result, large and therefore real-world structures can be now optimised without the need for heavy simplification. Within HIPOP, a fast and efficient coupling of traditional shape optimisation tools was realised for the first time, which led to tremendous reductions in pre-processing effort as well as computing time savings. MSC/CONSTRUCT addresses the needs of designers and analysts. The topology optimisation capability allows new designs to be found within a very short time frame. With the shape optimisation capability existing designs can be further optimised to reduce weight and component stresses. Therefore: - real-world models can be optimised without the time-consuming need of further simplification - much larger structures (>100.000 degrees of freedom) can be optimised in a reasonable time frame. The efficiency and robustness was shown by benchmarking structures like: - a half-car model of a BMW 3-series car loaded with 6 different load cases and with 80,000 solids for running the topology optimisation in one third of the time. Through the use of HIPOP software the solids could be meshed with the CAD-derived voxel technique which reduces the preprocessing time from 1 1/2 weeks to a couple of hours - the topology optimisation of the car bonnet frame of the Italian car designer PININFARINA leading to time savings of a factor of 4 - the INA chain tensioner containing more than 200,000 nodes and elements for a topology optimisation - the front mount of IABG with more than 120,000 nodes and elements for 5 different load cases - a crankshaft of BMW using a coupled shape optimisation approach resulting in time reduction from 2 weeks pre-processing effort to 5 hours and computing time reduction to 1/10.

Exploitable results

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