Structural health monitoring of sandwich beam and application of grid technologies
Structural health monitoring of sandwich beam and application of grid technologies
A damage occurs in a structure as a result of any adverse change in its mechanical and geometrical properties. If not identified at its early stage of propagation, it may cause catastrophic failure, which could be followed by significant economical, human and environmental loss.
In this work, the development and implementation approach, for a real-time structural health monitoring and control system, is presented. The process for development of this system is undertaken in three stages. In the first stage, a damage identification method, based on the changes in modal strain energies, is developed and extensively examined, for various damage cases, by using numerical simulations. The sensitivity of this method is investigated for various parameters, such as the location, level and extent of the damage in a sandwich beam. In the second stage, this developed method is validated, with the experimental measurements obtained from the sandwich beam specimens, which have single and multiple damages. In the final stage, a system architecture is designed for transmission, pre-processing and analysis of the free vibration responses, recorded from the sandwich beam specimen. These responses are used for damage identification and to assess the critically of damage by using the control method, which may also be used in the control system.
The results presented in this work indicate that the proposed methodology can be used for damage identification and to assess the criticality of damage in a sandwich beam. Guidelines and recommendations drawn from this research can be used for design and development of the system architecture for a real-time structural health monitoring and control system, by using toolkits based on the grid technologies.
University of Southampton
Kumar, Manoj
9c2173aa-5e5a-42d4-981e-522ed30c9248
2007
Kumar, Manoj
9c2173aa-5e5a-42d4-981e-522ed30c9248
Kumar, Manoj
(2007)
Structural health monitoring of sandwich beam and application of grid technologies.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
A damage occurs in a structure as a result of any adverse change in its mechanical and geometrical properties. If not identified at its early stage of propagation, it may cause catastrophic failure, which could be followed by significant economical, human and environmental loss.
In this work, the development and implementation approach, for a real-time structural health monitoring and control system, is presented. The process for development of this system is undertaken in three stages. In the first stage, a damage identification method, based on the changes in modal strain energies, is developed and extensively examined, for various damage cases, by using numerical simulations. The sensitivity of this method is investigated for various parameters, such as the location, level and extent of the damage in a sandwich beam. In the second stage, this developed method is validated, with the experimental measurements obtained from the sandwich beam specimens, which have single and multiple damages. In the final stage, a system architecture is designed for transmission, pre-processing and analysis of the free vibration responses, recorded from the sandwich beam specimen. These responses are used for damage identification and to assess the critically of damage by using the control method, which may also be used in the control system.
The results presented in this work indicate that the proposed methodology can be used for damage identification and to assess the criticality of damage in a sandwich beam. Guidelines and recommendations drawn from this research can be used for design and development of the system architecture for a real-time structural health monitoring and control system, by using toolkits based on the grid technologies.
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Published date: 2007
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Local EPrints ID: 466293
URI: http://eprints.soton.ac.uk/id/eprint/466293
PURE UUID: d3423f5b-d939-4f47-bf6e-96f6e481d5e7
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Date deposited: 05 Jul 2022 05:05
Last modified: 16 Mar 2024 20:37
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Author:
Manoj Kumar
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