Dipole Modelling And Sensor Design
Author(s)
S. A. Wimmer, E. A. Hogan & V. G. DeGiorgi
Abstract
The truth values used for validation of computational models are measured
values from either actual structures or experiments. The accuracy of
computational models will depend on the accuracy in which key parameters can
be measured. Therefore it is imperative that there is a clear understanding of
what and how parameters are being measured. An incomplete understanding of
the experimental process, including measurement sensors, will corrupt the
computational model validation process.
In this work computational modeling has been used to further the
understanding and assist in the design of a sensor used to measure off-board
electrical fields. Previously data from a series of dipole models was generated
using NRL’s physical scale modeling experimental facility. Results were
compared with both analytical and computational solutions. Variations were
observed between results. Boundary element methods were used to extensively
model tank geometry, water depth, sensor orientation and to some degree sensor
geometry. It was determined that the sensor as designed was not adequate for the
off-board electrical measurements required. In this work boundary element
modeling is used to assist in the design of a new off-board electrical field sensor.
Dipole models which consider the vertical and horizontal placement of half-cells
on the sensor are used to quantify characteristics of the new sensor.
Comparisons are provided between analytical, computational and measured
results once the sensor design is finalized.
Keywords: electrical dipole, electrical fields, boundary element modeling,
impressed current cathodic protection, physical scale modeling.
1 Introduction
The accepted process for validation of computational models is a detailed
comparison of experimental and computational determined values. This
Keywords
electrical dipole, electrical fields, boundary element modeling,
impressed current cathodic protection, physical scale modeling.
Related Book
Other papers in this volume
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