A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Probabilistic acousto-ultrasonic active-sensing structural health monitoring based on gaussian process and stochastic time series models
August 2021 ; School of Engineering ; In the context of engineering structures, structural safety, maintenance and life-cycle management processes are a major factor in sustainability. In particular, the aerospace industry is one that depends heavily on schedule-based procedures in order to sustain proper life-cycle management, ensure safety, and improve performance. Most of such procedures include some type of Non-destructive Evaluation (NDE) techniques, in which aircraft need to be inspected on a regular basis on the ground before operations can be resumed regardless of structural state. This framework, although very effective in the sustainability efforts of the aerospace industry, suffers from a number of drawbacks; the most economically-prominent of which are cost, increased downtime, less-than-optimal safety management paradigm (damage can occur and grow between scheduled procedures) and the limited applicability of fully-autonomous operations. As such, research endeavors in the past 40 years have been directed towards developing sustainability efforts that can be applied online (limiting downtime and increasing safety) and in an automated fashion (limiting the need for costly man hours, and also allowing for autonomous operation). Aside from the implementation of such frameworks in the industry of rotating machinery, the collection of these online frameworks falls under the field of Structural Health Monitoring (SHM). Because of the complexity of aircraft operations, manifested in multiple operational cycles, and, within each cycle, the varying operational and environmental conditions, the aerospace industry poses as a very rich arena for development of SHM techniques \cite{Dong-Kim18}. When it comes to active-sensing guided-wave SHM in particular, where piezoelectric sensors communicate with each other, owing to the fact that most of the currently-employed approaches are of a deterministic nature, i.e. they do not account for operational, environmental and modelling uncertainties, the complexity of ...
Probabilistic acousto-ultrasonic active-sensing structural health monitoring based on gaussian process and stochastic time series models
August 2021 ; School of Engineering ; In the context of engineering structures, structural safety, maintenance and life-cycle management processes are a major factor in sustainability. In particular, the aerospace industry is one that depends heavily on schedule-based procedures in order to sustain proper life-cycle management, ensure safety, and improve performance. Most of such procedures include some type of Non-destructive Evaluation (NDE) techniques, in which aircraft need to be inspected on a regular basis on the ground before operations can be resumed regardless of structural state. This framework, although very effective in the sustainability efforts of the aerospace industry, suffers from a number of drawbacks; the most economically-prominent of which are cost, increased downtime, less-than-optimal safety management paradigm (damage can occur and grow between scheduled procedures) and the limited applicability of fully-autonomous operations. As such, research endeavors in the past 40 years have been directed towards developing sustainability efforts that can be applied online (limiting downtime and increasing safety) and in an automated fashion (limiting the need for costly man hours, and also allowing for autonomous operation). Aside from the implementation of such frameworks in the industry of rotating machinery, the collection of these online frameworks falls under the field of Structural Health Monitoring (SHM). Because of the complexity of aircraft operations, manifested in multiple operational cycles, and, within each cycle, the varying operational and environmental conditions, the aerospace industry poses as a very rich arena for development of SHM techniques \cite{Dong-Kim18}. When it comes to active-sensing guided-wave SHM in particular, where piezoelectric sensors communicate with each other, owing to the fact that most of the currently-employed approaches are of a deterministic nature, i.e. they do not account for operational, environmental and modelling uncertainties, the complexity of ...
Probabilistic acousto-ultrasonic active-sensing structural health monitoring based on gaussian process and stochastic time series models
Amer, Ahmad (author) / Kopsaftopoulos, Fotis / Gandhi, Farhan / Koratkar, Nikhil / Julius, Anak Agung
2021-08-01
Theses
Electronic Resource
English , Unknown
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