When developing aeroderivative gas turbines at Siemens Energy, engine models are subject to complex simulation campaigns for finite element analysis carried out by a legacy simulation tool. This paper presents results of a multi-year software modernization project to provide a software-as-a-service (SaaS) framework that enables the distributed and automated execution of simulation jobs over a hybrid cloud platform containing both private cloud and public cloud nodes. Our framework allows to significantly reduce the net time required for completing complex simulation campaigns, thus increasing the effectiveness of engineers. The performance of our framework is evaluated in various cloud configurations with complex simulation campaigns performed in the context of a real simulation task.
Funding Agencies|Siemens [Ca CRDPJ 513922-17 X-247371]; NSERC [CRDPJ 513922-17 X-247323]; Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden