The objective of the present work is to evaluate the performance of a data-driven approach to simulate a multiphysics vibroacoustic field. Of particular interest is the complex propagation of anechoic waves in a finite 1D-structure submerged in water. Experimental data from an underwater beam actuated by two macro-fiber composites (MFCs) serves as the experimental framework for the data-driven model. Next, the Vector-Fitting (VF) algorithm estimates a state-space model of the multiphysics dynamics with voltage signals to the two MFCs as inputs, and the structural and the acoustic responses as the outputs. The multi-input–multi-output data-driven model is then used to determine the parameters that result in the optimal anechoic wave, a process that was carried out previously by experimental iterations. The optimal time-domain simulations are validated with experimental results.

当前工作的目标是评估数据驱动方法的性能，以模拟多物理场振动声场。特别令人感兴趣的是消声波在淹没在水中的有限一维结构中的复杂传播。来自由两种宏观纤维复合材料 (MFC) 驱动的水下光束的实验数据用作数据驱动模型的实验框架。接下来，矢量拟合 (VF) 算法估计多物理场动力学的状态空间模型，其中两个 MFC 的电压信号作为输入，结构和声学响应作为输出。然后使用多输入多输出数据驱动模型来确定导致最佳消声波的参数，这是之前通过实验迭代执行的过程。