Clustering Algorithms for Parallel Car-Crash Simulation Analysis
نویسندگان
چکیده
Buckling and certain contact situations cause scattering results of numerical crash simulation: For a BMW model differences between the position of a node in two simulation runs of up to 10 cm were observed, just as a result of round-off differences in the case of parallel computing. An engineer has to measure this scatter, to check whether important parts of the car show such indeterministic behavior and to find the origins. The tool DIFFCRASH compares simulation results and uses data mining technology to cluster those nodes of the car model, which show similar scatter among the simulation runs. For the BMW model the indeterministic behavior could be traced back to a certain part of the motor carrier and was removed by a redesign. In this paper we present the clustering algorithm and illustrate its usage in car crash simulation analysis. 1 Fraunhofer Institute for Algorithms and Scientific Computing Schloss Birlinghoven 53754, St. Augustin, Germany [email protected] [email protected]
منابع مشابه
Identification of nonlinear behavior with clustering techniques in car crash simulations for better model reduction
Background: Car crash simulations need a lot of computation time. Model reduction can be applied in order to gain time-savings. Due to the highly nonlinear nature of a crash, an automatic separation in parts behaving linearly and nonlinearly is valuable for the subsequent model reduction. Methods: We analyze existing preprocessing and clustering methods like k-means and spectral clustering for ...
متن کاملMulti-objective design optimization for crash safety of a vehicle with a viscoelastic body and wide tapered multi-cell energy absorber using DOE method
Due to the extensive use of cars and progresses in the vehicular industries, it has become necessary to design vehicles with higher levels of safety standards. Development of the computer aided design and analysis techniques has enabled employing well-developed commercial finite-element-based crash simulation computer codes, in recent years. The present study is an attempt to optimize behavi...
متن کاملHigh Performance Implementation of Fuzzy C-Means and Watershed Algorithms for MRI Segmentation
Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...
متن کاملHigh Performance Implementation of Fuzzy C-Means and Watershed Algorithms for MRI Segmentation
Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...
متن کاملAnalyzing Motorcycle Crash Pattern and Riders’ Fault Status at a National Level: A Case Study from Iran
Motorcycle crashes constitute a significant proportion of traffic accidents all over the world. The aim of this paper was to examine the motorcycle crash patterns and rider fault status across the provinces of Iran. For this purpose, 6638 motorcycle crashes occurred in Iran through 2009-2012 were used as the analysis data and a two-step clustering approach was adopted as the analysis framework....
متن کامل