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|Title:||Remote monitoring as a tool in condition assessment of a highway bridge||Authors:||Tantele, Elia
|Keywords:||RC bridge;Remote monitoring;Strain measurements;Structural condition;Wireless sensor networks||Category:||Civil Engineering;Civil Engineering||Field:||Engineering and Technology||Issue Date:||1-Apr-2016||Publisher:||SPIE||Source:||4th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2016; Paphos; Cyprus; 4 April 2016 through 8 April 2016||metadata.dc.doi:||10.1117/12.2239546||Abstract:||The deterioration of civil infrastructure and their subsequent maintenance is a significant problem for the responsible managing authorities. The ideal scenario is to detect deterioration and/or structural problems at early stages so that the maintenance cost is kept low and the safety of the infrastructure remains undisputed. The current inspection regimes implemented mostly via visual inspection are planned at specific intervals but are not always executed on time due to shortcomings in expert personnel and finance. However the introduction of technological advances in the assessment of infrastructures provides the tools to alleviate this problem. This study describes the assessment of a highway RC bridge's structural condition using remote structural health monitoring. A monitoring plan is implemented focusing on strain measurements; as strain is a parameter influenced by the environmental conditions supplementary data are provided from temperature and wind sensors. The data are acquired using wired sensors (deployed at specific locations) which are connected to a wireless sensor unit installed at the bridge. This WSN application enables the transmission of the raw data from the field to the office for processing and evaluation. The processed data are then used to assess the condition of the bridge. This case study, which is part of an undergoing RPF research project, illustrates that remote monitoring can alleviate the problem of missing structural inspections. Additionally, shows its potential to be the main part of a fully automated smart procedure of obtaining structural data, processed them and trigger an alarm when certain undesirable conditions are met.||URI:||http://ktisis.cut.ac.cy/handle/10488/9075||ISBN:||978-162841923-8||Rights:||© 2016 SPIE.||Type:||Conference Papers|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
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