LMS introduces method solver for Virtual.Lab
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LMS International product story
Edited by the Engineeringtalk editorial team
Nov 5, 2008
LMS has brought out a Fast Multipole BEM (Boundary Element Method) solver based on multipole expansion.
This solver, found in LMS Virtual.Lab Acoustics Rev 8, extends acoustic simulation performance, enabling higher frequency acoustic analysis on complex products without compromising simulation solving times.
To optimise acoustic performance in products such as automobiles, airplanes or wind turbines, users must be able to handle high frequencies and large and complex simulation models.
The simulation must also be completed in time to impact the design process.
The Fast Multipole BEM solver provides breakthrough extensions to standard BEM-based solvers to address these requirements.
Integrated within LMS Virtual.Lab, simulation models of up to several million elements can be created, managed, solved and post-processed.
LMS Virtual.Lab also supports efficient parallelisation for the Fast Multipole BEM solver, making the calculation time almost proportional to the number of CPUs used.
This allows users to take advantage of accessible multi-CPU computing environments.
Koen De Langhe, product line manager for LMS Virtual.Lab Acoustics, said: 'With the new multipole BEM technology, meshing requirements are less stringent, solving happens significantly faster whether on Linux clusters or on desktop PCs.
'As a result, acoustic engineers, but also non-acoustic experts, can solve tough problems and provide design directions for optimal noise and sound performances.
'From the sound quality of state-of-the-art flat-screen televisions, noise radiation from complex machinery and the environmental impact of vehicle pass-by-noise, the range of systems that can benefit from Fast Multipole BEM is vast.' LMS has validated the Fast Multipole BEM solver on models with a half million BEM elements, delivering 1/12 octave results that accurately match measurement data in less than 3dB.
Since this powerful tool can run on 32 CPU clusters, these models can be executed in a fraction of the time needed for traditional solver technology.
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