Automobile high-frequency noise prediction method based on correlation interval uncertainty theory

• Main Authors: YANG MINGHUI, TIAN YONGJUN, DENG JIANGHUA, ZHAO ZITING, YANG ZHENGRUI, CHEN DALIANG, GU CANSONG, LI HONGLIANG, DONG JUNHONG, WANG HAIYANG, HAO YAODONG
• Format: Patent
• Language: Chinese; English
• Published: 09.08.2019
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES; MEASURING; PHYSICS; TESTING; TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR

The invention discloses an automobile high-frequency noise prediction method based on a correlation interval uncertainty theory. The method comprises the following steps: selecting geometric and material parameters with poor consistency in engineering as interval uncertain parameters on the basis of establishing a whole vehicle statistical energy model and carrying out acoustic package definitionand model benchmarking, and describing a relation between the uncertain parameters through a linear constraint inequation; calculating the local sensitivity of the noise in the vehicle to each uncertain parameter, reordering the uncertain parameters according to the magnitude of the sensitivity, and substituting the sensitivity into an inequality equation to obtain an ordered uncertain parameter vector and an uncertain parameter correction perturbation interval; and carrying out first-order Taylor series expansion on the noise in the vehicle and bringing the noise into an uncertain parameter center value and a correct