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Development of low cost online structural health monitoring system for civil infrastructures using wireless smart sensors

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dc.contributor.advisor Lewangamage CS
dc.contributor.advisor Jayasinghe MTR
dc.contributor.advisor Kumara KJC
dc.contributor.author Vishnu P
dc.date.accessioned 2020
dc.date.available 2020
dc.date.issued 2020
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/16168
dc.description.abstract Over the last few decades number of tall buildings has seen an exponential increase. At present tallest ever building under construction measures 1000m vertically, and the height of future buildings is likely to be even higher. Monitoring the behaviour of tall buildings using them as living laboratory is extraordinarily important in an international context to optimize its performance. Structural health monitoring is a new paradigm which facilitates the purpose of monitoring buildings or any other infrastructure on real time basis. Structural health monitoring has seen various advanced developments in recent past. Wired sensor networks were used to monitor the target at the beginning. In modern days wireless network with higher number of nodes is used to monitor the target very precisely. In this research a wireless sensor network which is capable of sensing ambient vibrations in terms of accelerations was developed. The sensors mounted in each node are capable of measuring very small vibrations (1 mg range). The communication between each node was established using wireless network protocol, sub-1 GHz (Radio waves) which is very efficient in terms of long-range communications, power consumption and penetration through obstacles. When it comes to collecting data using wireless sensor networks, there are inherent challenges such as time synchronisation, scalability, packet handling (collision), packet loss, data storage, power consumption etc. However, accuracy of time synchronisation was identified to be the most crucial problem as far as interpretation of results is concerned. Two methods of time synchronization were checked in laboratory level. One method is known as receiver to receiver model and other one is centre to receiver model. Wireless sensor network was checked for its performance in laboratory level and accelerometers were calibrated using shaker table which has accurate analog sensors and digital accelerometers which are already calibrated in laboratory level. Completely developed wireless sensor network which is capable of collecting synchronous data, was established in a target building of 48 floors with 185m height. The locations of sensors were predetermined using mathematical model made using finite element package, ETABS. Bi directional acceleration data was collected with sampling frequency of 100 Hz. Collected data was chunked and converted into frequency domain from time domain using fast Fourier transform algorithm and modal damping ratios, peak acceleration corresponding to particular frequency and modal displacement were extracted. Extracted modal damping ratios were compared with the damping ratios suggested in various codes and it could be observed that the calculated modal damping ratios are higher than the iii values that are suggested by various codes. The mode shapes plotted using the building response data showed a good agreement with the mode shapes produced by Operational Modal Analysis. en_US
dc.language.iso en en_US
dc.subject CIVIL ENGINEERING-Dissertations en_US
dc.subject BUILDINGS-Tall en_US
dc.subject STRUCTURAL HEALTH MONITORING en_US
dc.subject BULDINGS-Failures-Modal Analysis en_US
dc.subject BUILDINGS-Ambient Vibrations en_US
dc.subject WIRELESS SENSOR NETWOKS en_US
dc.subject BUILDINGS-Monitoring en_US
dc.title Development of low cost online structural health monitoring system for civil infrastructures using wireless smart sensors en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.degree MSc in Civil Engineering - By research en_US
dc.identifier.department Department of Civil Engineering en_US
dc.date.accept 2020
dc.identifier.accno TH4172 en_US


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