For over 30 years, Cambridge Collaborative’s SEAM® software has provided a method of analysis that is particularly well-suited for studying the dynamic response of complex structures at mid and high frequencies.
SEAM is used to predict interior noise and vibration in automobiles, aircraft, and construction equipment cabs as well as the radiated noise from ships and the vibroacoustic environments for spacecraft. Other applications include machinery noise, industrial noise, and building acoustics.
SEAM Showcase Video
Brief introduction to Cambridge Collaborative and its NVH software, SEAM.
Success Story: SEAM from Cambridge Collaborative for BMW
Publication highlighting BMW's success using SEAM
View BMW Success Story
SEAM includes a complete implementation of statistical energy analysis (SEA). The complex dynamic system being analyzed is divided into a set of substructures and acoustic elements. The modes of each substructure and acoustic element are grouped into SEA subsystems. The flow of energy between the different subsystems is proportional to the modal energies of the subsystems and the coupling factors. The SEAM program calculates all required coupling factors and performs a power balance for each subsystem. The resulting equations are solved for the modal energy and response of each subsystem.
Cambridge Collaborative (CCi) provides a wide range of engineering services, including software, testing, R&D and consulting. These services address general noise and vibration problems as well as statistical energy analysis (SEA) related work. While the engineers and scientists at Cambridge Collaborative are considered to be experts on SEA, CCi is also active in testing and data analysis, product optimization, and product design.
SEAM® software provides NVH analysis of complex structures at mid and high frequencies.
SEAM is used to predict interior noise and vibration in a variety of vehicles.
SEAM is an accepted analysis procedure for many industries, including major shipyards.
SEAM allows frequency dependent properties to be defined and develop symbolic models.
SEAM has led the way in statistical energy analysis software. Developed in 1980 for structure-borne noise studies in submarines, SEAM quickly branched out to all industries. They were the first commercial SEA software to be used in the marine, aerospace and automotive industries.