Multidisciplinary Design Optimization (MDO) has evolved as a discipline which provides a body of methods and techniques to assist engineers in solving large scale design problems. There are many frameworks for formulating MDO problems. These frameworks can be broadly classified as single-level or bi-level formulations. Collaborative Optimization (CO) is one of the popular bi-level formulations to solve an MDO problem.
There are numerous design optimization problems which are highly CPU time intensive and require a long simulation time. With the advent of cheaper and faster available PCs, distributed parallel computer clusters have become very popular. These clusters provide large computing power and can be used to solve problems faster and more efficiently. This research is an attempt to take advantage of the computational power of parallel computers in the field of design Optimization. The robust design optimization of an Internal Combustion Engine has been formulated using CO and implemented using parallel computers. Considerable savings in Wall Time has been achieved. A generic strategy for solving similar problems has also been devised. A benchmarking program has also been developed to assess theoretical speedup for any problem size. This program uses the Collaborative Optimization framework and simulates a design optimization on distributed memory clusters.
| Identifer | oai:union.ndltd.org:LSU/oai:etd.lsu.edu:etd-04052005-143257 |
| Date | 20 April 2005 |
| Creators | Nayyer, Shahab |
| Contributors | Thomas Ray, Charles McAllister, Hassan Mashriqui, Xiaoyue Jiang |
| Publisher | LSU |
| Source Sets | Louisiana State University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lsu.edu/docs/available/etd-04052005-143257/ |
| Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached herein a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to LSU or its agents the non-exclusive license to archive and make accessible, under the conditions specified below and in appropriate University policies, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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