Browsing by Author "Aboutalebi, Morteza"
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Article Citation - WoS: 147Citation - Scopus: 172Applications of Ground Penetrating Radar (gpr) in Bridge Deck Monitoring and Assessment(Elsevier Science Bv, 2013) Alani, Amir M.; Aboutalebi, Morteza; Kilic, GokhanThis paper presents the essence of two case studies by the authors on two major bridges in the UK. The first case study reports on the applications of GPR and associated work carried out on the Forth Road Bridge near Edinburgh, Scotland, with the main objective of identifying possible structural defects including damaged rebar and moisture ingress at specific locations of the bridge deck. The second case study focuses on a full assessment of the Pentagon Road Bridge, in Chatham, Kent England with particular emphasis on the identification of possible defects including structural cracks within the deck structure and establishing the layout of the upper and lower rebar positions throughout the bridge. These studies present interesting results in terms of locations of rebar and an accurate estimate of concrete cover condition as well as reporting on a remarkable similarity in the processed data concerning areas affected by ingress of moisture within the deck structures of the two bridges under investigation. It is believed that this paper will be of particular interest to bridge engineers and structural engineering practitioners with enthusiasm for adopting non-destructive testing methods such as GPR in the health monitoring and assessment of bridge structures. The observed similarities in the processed data between the two reported case studies present an interesting concept within the general context of the interpretation of GPR data, with the potential for use in many other forthcoming cases. The paper also reports on the adopted method for the GPR survey with emphasis on difficulties and challenges encountered during the actual survey. The presented results benefit from advanced processing and presentation techniques. (c) 2013 Elsevier B.V. All rights reserved.Article Citation - WoS: 63Citation - Scopus: 70Integrated Health Assessment Strategy Using Ndt for Reinforced Concrete Bridges(Elsevier Sci Ltd, 2014) Alani, Amir M.; Aboutalebi, Morteza; Kilic, GokhanThis paper presents the results of the application of several Non-Destructive Techniques (NOT) on the Pentagon Road Bridge, in Chatham, Kent, England. This provides crucial structural information such as rebar position, moisture ingress and deflection. A FEM (Finite Element Model) of the bridge was created using data from the visual inspection and was parameterised and calibrated using information gather from the NDT results. The results of all of the above are compared in order to identify the portion of the bridge which had undergone the greatest amount of deterioration. This process forms the basis for the integrated bridge health mechanism proposed by this paper. (C) 2013 Published by Elsevier Ltd.Article Citation - WoS: 8Citation - Scopus: 9Use of Non-Contact Sensors (ibis-S) and Finite Element Methods in the Assessment of Bridge Deck Structures(Ernst & Sohn, 2014) Alani, Amir M.; Aboutalebi, Morteza; Kilic, GokhanThe main objective of this investigation is to provide an alternative method for the damage detection and assessment of bridge structures based on comparisons between finite element (FE) modelling/analysis and field data. The field data reported in this paper refers to the use of a non-destructive structural testing method (IBIS-S sensor system -displacement/movement-detection sensors with interferometric capabilities) and visual inspections. The FE models developed and presented in this study demonstrate certain degrees of reliability in terms of predicting the mechanical behaviour of the bridge structure under investigation. The FE models were developed using the ANSYS software package. This investigation also provides a detailed report on the application of the field survey that was carried out on a rather heavily used bridge located in Chatham, Kent, UK. The field data concerning the IBIS-S sensors correspond to subjecting the bridge to different static and dynamic loading conditions. The static and dynamic structural responses of the bridge were created by driving a lorry up and down the bridge. The same loading conditions were then simulated using the FE model developed to verify the sensitivity of the model. This FE model was then used to study the response of the bridge to other loading conditions. It is believed that the proposed method could potentially be used for assessing bridge structures within the context of the health monitoring of structures.
