Search for dissertations about: "Damage detection"
Showing result 1 - 5 of 169 swedish dissertations containing the words Damage detection.
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1. Structural Health Monitoring of Bridges : Model-free damage detection method using Machine Learning
Abstract : This is probably the most appropriate time for the development of robust and reliable structural damage detection systems as aging civil engineering structures, such as bridges, are being used past their life expectancy and beyond their original design loads. Often, when a significant damage to the structure is discovered, the deterioration has already progressed far and required repair is substantial. READ MORE
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2. Structural Health Monitoring of Bridges : Data-based damage detection method using Machine Learning
Abstract : Civil engineering structures built according to modern codes are designed for a service life of normally more than 100 years. At the same time, there is a growing pressure to keep existing aged structures in service despite the fact that they have reached the original designed lifetime, with bridges being a good example of this. READ MORE
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3. Application of monitoring to dynamic characterization and damage detection in bridges
Abstract : The field of bridge monitoring is one of rapid development. Advances in sensor technologies, in data communication and processing algorithms all affect the possibilities of Structural Monitoring in Bridges. READ MORE
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4. Damage detection in composites using embedded piezoceramic transduceers and lamb wave techniques
Abstract : .... READ MORE
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5. Evolving the Methodology for Detection of Primary DNA Damage : Development, adaptation and assessment of the single cell gel electrophoresis (comet) assay
Abstract : Deoxyribonucleic acid (DNA) is one of the most important molecules in nature. It is the fundamental carrier of evolutionary information and constitutes the genetic blueprint of all living organisms. Being the sole source of information, it is vital for the cell to transmit the correct genetic information from generation to generation. READ MORE