Electromagnetic scattering from jet engine inlets using analytical and fast integral equation methods.
dc.contributor.author | Anastassiu, Hristos Thomas | |
dc.contributor.advisor | Volakis, John L. | |
dc.date.accessioned | 2016-08-30T17:22:41Z | |
dc.date.available | 2016-08-30T17:22:41Z | |
dc.date.issued | 1997 | |
dc.identifier.uri | http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:9721938 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/130192 | |
dc.description.abstract | Analytical and numerical techniques are employed for the evaluation of the Radar Cross-Section (RCS) of jet engine inlets. Initially, the Mode Matching technique is used for the extraction of reference data associated with canonical engine-like structures. Of most importance in this work is the utilization of the inherent cylindrical periodicity of the geometry to reduce the CPU time and memory requirements of rigorous integral equation methods for the characterization of jet engines. Finally, the Adaptive Integral Method (AIM) is applied to the RCS calculations of large, non-canonical geometries. The low computational complexity and storage requirements of AIM, combined with the exploitation of the structure periodicity, are especially attractive properties that allow the RCS analysis of very complex and electrically large jet engine inlets for the first time. | |
dc.format.extent | 152 p. | |
dc.language | English | |
dc.language.iso | EN | |
dc.subject | Analytical | |
dc.subject | Electromagnetic | |
dc.subject | Engine | |
dc.subject | Equation | |
dc.subject | Fast | |
dc.subject | Inlets | |
dc.subject | Integral | |
dc.subject | Jet | |
dc.subject | Methods | |
dc.subject | Mode Matching | |
dc.subject | Radar Cross Section | |
dc.subject | Scatteri | |
dc.subject | Scattering | |
dc.subject | Using | |
dc.title | Electromagnetic scattering from jet engine inlets using analytical and fast integral equation methods. | |
dc.type | Thesis | |
dc.description.thesisdegreename | PhD | en_US |
dc.description.thesisdegreediscipline | Aerospace engineering | |
dc.description.thesisdegreediscipline | Applied Sciences | |
dc.description.thesisdegreediscipline | Electrical engineering | |
dc.description.thesisdegreegrantor | University of Michigan, Horace H. Rackham School of Graduate Studies | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/130192/2/9721938.pdf | |
dc.owningcollname | Dissertations and Theses (Ph.D. and Master's) |
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