This contribution is focused on the nonlinear and ill-posed problem of reconstructing the electrical conductivity starting from the free response of a conductor in the magneto-quasi-stationary (MQS) limit. In this framework, a key role is played by the Monotonicity Principle, that is a monotone relation connecting the unknown material property to the (measured) free-response. The Monotonicity Principle is relevant to develop noniterative and real-time imaging methods. The Monotonicity Principle is a rather general principle found in many different physical problems. However, each physical/mathematical context requires the proper operator showing the MP to be identified. In turns, this calls for ad-hoc mathematical approaches tailored to the specific frameworks. In this paper we discuss a monotonic relationship between the electrical resistivity and the time constants of the free response for MQS systems. Numerical examples are provided to support the underlying theory. © Published under licence by IOP Publishing Ltd.
Magnetic induction tomography via the monotonicity principle
Piscitelli G.;Tamburrino A.
2023-01-01
Abstract
This contribution is focused on the nonlinear and ill-posed problem of reconstructing the electrical conductivity starting from the free response of a conductor in the magneto-quasi-stationary (MQS) limit. In this framework, a key role is played by the Monotonicity Principle, that is a monotone relation connecting the unknown material property to the (measured) free-response. The Monotonicity Principle is relevant to develop noniterative and real-time imaging methods. The Monotonicity Principle is a rather general principle found in many different physical problems. However, each physical/mathematical context requires the proper operator showing the MP to be identified. In turns, this calls for ad-hoc mathematical approaches tailored to the specific frameworks. In this paper we discuss a monotonic relationship between the electrical resistivity and the time constants of the free response for MQS systems. Numerical examples are provided to support the underlying theory. © Published under licence by IOP Publishing Ltd.File | Dimensione | Formato | |
---|---|---|---|
2023_Piscitelli_ICIPE_J._Phys. _Conf._Ser._2444_012005.pdf
accesso aperto
Tipologia:
Versione Editoriale (PDF)
Licenza:
DRM non definito
Dimensione
1.62 MB
Formato
Adobe PDF
|
1.62 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.