Minnaert Frequency and Simultaneous Reconstruction of the Density, Bulk and Source in the Time-Domain Wave Equation

TL;DR

This paper introduces a method to reconstruct acoustic material properties and sources in the time-domain wave equation using measurements from small bubbles, enabling simultaneous recovery of multiple parameters with minimal measurement points.

Contribution

It presents a novel approach using bubble-induced pressure measurements at a single point to recover multiple acoustic parameters and sources simultaneously.

Findings

Reconstruction of density and bulk modulus when one is known.

Simultaneous recovery of all three parameters with initial source derivative.

Local reconstruction capability within subregions of the domain.

Abstract

We deal with the inverse problem of reconstructing acoustic material properties or/and external sources for the time-domain acoustic wave model. The traditional measurements consist of repeated active (or passive) interrogations, as the Dirichlet-Neumann map, or point sources with source points varying outside of the domain of interest. It is reported in the existing literature, that based on such measurements, one can recover some (but not all) of the three parameters: mass density, bulk modulus or the external source term. In this work, we first inject isolated small-scales bubbles into the region of interest and then measure the generated pressure field at a {\it{single point}} outside, or at the boundary, of this region. Then we repeat such measurements by moving the bubble to scan the region of interest. Using such measurements, we show that 1. If either the mass density or the bulk modulus is known then we can simultaneously reconstruct the other one and the source term. 2. If the source term is known at the initial time, precisely we assume to know its first non vanishing time-derivative, at the initial time, then we reconstruct simultaneously the three parameters, namely the mass density, the bulk modulus and the source function. Here, the source term is space-time dependent. It is worth mentioning that in terms of dimentionality, the induced inverse problem is not overdetermined since we use $4=3+1$ dimensions ($3$ in space and $1$ in time) to recover $2$ coefficients of $3$ spatial dimensions, i.e. the mass density and the bulk modulus, and the $4=3+1$ dimensional source function. In addition, the result is local, meaning that we do reconstruction in any subpart, of the domain of interest, we want.