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Grant: Collaborative Research and Development Grants

Ryerson University

$74,600.00

Structural Health Monitoring and Damage Detection for Offshore Structures

EF 2010-11

Résumé
The current research proposal is focused on the development and optimization of a new Structural Health Monitoring (SHM) for offshore concrete and steel infrastructure for the harsh North Atlantic Environment. The project objective is to identify the appropriate structural health monitoring system components suitable for the harsh North Atlantic. The SHM is an emerging important tool for diagnosing deterioration, damage detection, maintenance and management of civil infrastructures. Concrete offshore structures are built using thick high strength concrete plates. The crack control of offshore concrete structure sustained under service loads will be investigated. A SHM system with various types of sensors will be recommended for a new offshore structure for monitoring the in-service performance. However, a novel acoustic or wave transmission technique will be investigated for tracking concrete damage in an existing concrete offshore. The possible methods that can be used efficiently for detecting cracks in thick heavily reinforced offshore concrete plates are acoustic emission, impact echo and shear wave techniques. The suitability of each will be assessed for offshore monitoring. The techniques are based on identification of changes in acoustic or wave form attenuation through concrete by comparing integrated wave form amplitudes recorded by two or more sensors. The multichannel random decrement method will be applied for a steel offshore hull to extract the modal properties of the structural component and identify the damage existence and location. The best locations to excite a steel offshore hull structural component will be determined and a repair strengthens technique will be recommended using the general structural assessment principles. The neural network technique can be used in combination with the random decrement technique or data scan or wave scan to detect damages in offshore structures.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
381767-2009
Name nom
Marzouk, Hesham
Department département
Civil Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2009
Award amount
74600
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
601
Area of application group en
Construction, urban and rural planning
Area of application group fr
Construction, urbanisme et aménagement rural
Area of application en
Structural engineering
Area of application fr
Génie des charpentes
Research subject code
1103
Research subject group en
Structural engineering
Research subject group fr
Génie des structures
Research subject en
Concrete structures
Research subject fr
Structures en béton
Partie
2
Nb partie
3
Application title
Structural Health Monitoring and Damage Detection for Offshore Structures
Keyword
NSERC
Application summary
The current research proposal is focused on the development and optimization of a new Structural Health Monitoring (SHM) for offshore concrete and steel infrastructure for the harsh North Atlantic Environment. The project objective is to identify the appropriate structural health monitoring system components suitable for the harsh North Atlantic. The SHM is an emerging important tool for diagnosing deterioration, damage detection, maintenance and management of civil infrastructures. Concrete offshore structures are built using thick high strength concrete plates. The crack control of offshore concrete structure sustained under service loads will be investigated. A SHM system with various types of sensors will be recommended for a new offshore structure for monitoring the in-service performance. However, a novel acoustic or wave transmission technique will be investigated for tracking concrete damage in an existing concrete offshore. The possible methods that can be used efficiently for detecting cracks in thick heavily reinforced offshore concrete plates are acoustic emission, impact echo and shear wave techniques. The suitability of each will be assessed for offshore monitoring. The techniques are based on identification of changes in acoustic or wave form attenuation through concrete by comparing integrated wave form amplitudes recorded by two or more sensors. The multichannel random decrement method will be applied for a steel offshore hull to extract the modal properties of the structural component and identify the damage existence and location. The best locations to excite a steel offshore hull structural component will be determined and a repair strengthens technique will be recommended using the general structural assessment principles. The neural network technique can be used in combination with the random decrement technique or data scan or wave scan to detect damages in offshore structures.