科技报告详细信息
Natural Frequency Testing and Model Correlation of Rocket Engine Structures in Liquid Hydrogen - Phase I, Cantilever Beam
Brown, Andrew M ; DeLessio, Jennifer L ; Jacobs, Preston W
关键词: DYNAMIC STRUCTURAL ANALYSIS;    LIQUID HYDROGEN;    RESONANT FREQUENCIES;    TURBINE PUMPS;    CANTILEVER BEAMS;    CRYOGENIC TEMPERATURE;    DYNAMIC RESPONSE;    ROCKET ENGINES;    PREDICTION ANALYSIS TECHNIQUES;    ROOM TEMPERATURE;    TITANIUM ALLOYS;    MODULUS OF ELASTICITY;    DAMPING;   
RP-ID  :  M17-6367
美国|英语
来源: NASA Technical Reports Server
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【 摘 要 】

Many structures in the launch vehicle industry operate in liquid hydrogen (LH2), from the hydrogen fuel tanks through the ducts and valves and into the pump sides of the turbopumps. Calculating the structural dynamic response of these structures is critical for successful qualification of this hardware, but accurate knowledge of the natural frequencies is based entirely on numerical or analytical predictions of frequency reduction due to the added-fluid-mass effect because testing in LH2 has always been considered too difficult and dangerous. This fluid effect is predicted to be approximately 4-5% using analytical formulations for simple cantilever beams. As part of a comprehensive test/analysis program to more accurately assess pump inducers operating in LH2, a series of frequency tests in LH2 were performed at NASA/Marshall Space Flight Center's unique cryogenic test facility. These frequency tests are coupled with modal tests in air and water to provide critical information not only on the mass effect of LH2, but also the cryogenic temperature effect on Young's Modulus for which the data is not extensive. The authors are unaware of any other reported natural frequency testing in this media. In addition to the inducer, a simple cantilever beam was also tested in the tank to provide a more easily modeled geometry as well as one that has an analytical solution for the mass effect. This data will prove critical for accurate structural dynamic analysis of these structures, which operate in a highly-dynamic environment.

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