Zhu R., Hu H., Wang R., Chen H. «Reverse Design of Absorption Performance for Typical Underwater Acoustic Coatings Based on Neural Network» Акустический журнал, 70, № 4, с. pp745-758 (2024)

This paper presents a method for rapidly reverse designing the absorption performance of acoustic coatings, utilizing the principles of a concatenated deep neural network. It enables the swift acquisition of effective input parameters. By cascading a reverse neural network with pre-trained forward neural networks, a concatenated neural network is obtained. This network maps the absorption spectrum response to structural and material parameters, thereby resolving the nonuniqueness issue in traditional reverse design. The paper describes the detailed process of reverse designing the absorption performance of acoustic coatings and validates the correctness of the reverse design using finite element methods. A comparative analysis investigates the impact of different loss functions on result accuracy. The findings demonstrate that the proposed modified loss function algorithm significantly enhances precision compared to traditional direct reverse design. This advancement allows for the customization of acoustic coatings with specific acoustic properties, providing technical groundwork for vibration and noise reduction in underwater vehicles.

Wang Z.Y., Yan Y., Gao Z., Shi B. «Inclined Crack Quantification of Plate-Like Structures Based on Circular Sensor Array and Lamb Waves» Акустический журнал, 70, № 3, с. pp560-569 (2024)

Cracks are one of the most common damages to thin plates. Therefore, rapid and accurate detection of cracks is of great significance in the nondestructive testing of thin plates. Most existing nondestructive testing technologies focus on crack localization rather than the quantification of the crack length and orientation. Therefore, this paper proposes a damage index, considering the wave attenuation during propagation, to quantify the crack length and orientation. Lamb waves are transmitted and received by a circular sensor array. Based on the abnormal reflection of the A0 mode of Lamb waves, the reflections at cracks are extracted by the Hilbert transform. The influence of the crack length and orientation are studied parametrically, and the relations between the proposed damage index and crack length and angle are given based on regression analysis.