City Research Online

Abstract

Research into different approaches to concrete non-destructive testing is presented. However, the main consideration is how data fusion methods can add value to the interpretation of the data gathered from different sensor sources. Mathematical models for data fusion and simultaneous adjustment of inhomogeneous data are used, which increase the accuracy and reliability of the subsequent surface repair decision.

The aim of the approach is to adjust any kind of data in a combined way by giving adequate weights to each measurement. An assessment of the quality of different sensor data is part of this. A comparison of different sensors is given.

A Graphical User Interface, developed in the research, gives surface representations of the spatial data. This allows the differences between surface reconstruction results to be examined.

The validation of the approach for multi sensor fusion for the reconstruction of surfaces is described and demonstrated by using data from areas of concrete that have been surveyed and subsequently repaired.

The results of the numerical experiments are interpreted and conclusions for the processing chain of the approach drawn. With further development the experimental software could be useful for industrial applications.

Publication Type:	Thesis (Doctoral)
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TH Building construction
Departments:	School of Science & Technology > School of Science & Technology Doctoral Theses Doctoral Theses School of Science & Technology > Engineering

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