Aiming at the low-frequency pressure fluctuation phenomena in certain liquid oxygen delivery systems during dual engine operation,a numerical study on the intrinsic frequency of the liquid oxygen delivery system was c...Aiming at the low-frequency pressure fluctuation phenomena in certain liquid oxygen delivery systems during dual engine operation,a numerical study on the intrinsic frequency of the liquid oxygen delivery system was conducted by adopting an acoustic unit in Abaqus.Factors such as condensation characteristics of the oxygen-enriched gas gas in the liquid oxygen’s pipeline between pumps,flexibility of the accumulator,and cavitation flexibility of the engine were considered in the simulation models.The simulation results show that the second order frequency of the liquid oxygen delivery system is 8.77 Hz,and the phase difference of the corresponding acoustic modal is 180°,which is the liquid circuit frequency of the small loop between the two branches of the tee.This is consistent with the low-frequency fluctuation phenomenon during flight.Moreover,the simulation results were consistent with the liquid circuit frequency solved via the transfer matrix,which also verified the effectiveness of the frequency analysis method based on acoustic theory.展开更多
The design of acoustic models is of vital importance to build a reliable connection between acoustic wave-form and linguistic messages in terms of individual speech units. According to the characteristic of Chinese ph...The design of acoustic models is of vital importance to build a reliable connection between acoustic wave-form and linguistic messages in terms of individual speech units. According to the characteristic of Chinese phonemes, the base acoustic phoneme units set is decided and refined and a decision tree based state tying approach is explored. Since one of the advantages of top-down tying method is flexibility in maintaining a balance between model accuracy and complexity, relevant adjustments are conducted, such as the stopping criterion of decision tree node splitting, during which optimal thresholds are captured. Better results are achieved in improving acoustic modeling accuracy as well as minimizing the scale of the model to a trainable extent.展开更多
文摘Aiming at the low-frequency pressure fluctuation phenomena in certain liquid oxygen delivery systems during dual engine operation,a numerical study on the intrinsic frequency of the liquid oxygen delivery system was conducted by adopting an acoustic unit in Abaqus.Factors such as condensation characteristics of the oxygen-enriched gas gas in the liquid oxygen’s pipeline between pumps,flexibility of the accumulator,and cavitation flexibility of the engine were considered in the simulation models.The simulation results show that the second order frequency of the liquid oxygen delivery system is 8.77 Hz,and the phase difference of the corresponding acoustic modal is 180°,which is the liquid circuit frequency of the small loop between the two branches of the tee.This is consistent with the low-frequency fluctuation phenomenon during flight.Moreover,the simulation results were consistent with the liquid circuit frequency solved via the transfer matrix,which also verified the effectiveness of the frequency analysis method based on acoustic theory.
基金Project 60475007 supported by the National Natural Science Foundation of China
文摘The design of acoustic models is of vital importance to build a reliable connection between acoustic wave-form and linguistic messages in terms of individual speech units. According to the characteristic of Chinese phonemes, the base acoustic phoneme units set is decided and refined and a decision tree based state tying approach is explored. Since one of the advantages of top-down tying method is flexibility in maintaining a balance between model accuracy and complexity, relevant adjustments are conducted, such as the stopping criterion of decision tree node splitting, during which optimal thresholds are captured. Better results are achieved in improving acoustic modeling accuracy as well as minimizing the scale of the model to a trainable extent.
