Structural health monitoring of a steel girder bridge rehabilitated with full depth full width precast deck panels over the red river near the town of Morris, Manitoba

Author(s):  
R Ellis ◽  
H Vogel ◽  
B Wood ◽  
K Amy ◽  
R Eden
ACTA IMEKO ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 57
Author(s):  
Renato S. Olivito ◽  
Saverio Porzio ◽  
Carmelo Scuro ◽  
Domenico Luca Carnì ◽  
Francesco Lamonaca

Earthquakes induce dynamic stresses in structures, and past seismic events have demonstrated that existing heritage buildings are highly vulnerable. This vulnerability applies to both reinforced-concrete and masonry buildings, which are concentrated in historic centres throughout Italy. Significant variations in construction account for the inadequacy of existing structures to withstand seismic actions, such as the materials used and the construction details, which can be neglected in building practices. This work focuses on the analysis of heritage buildings through an inventory using the <em>Caratterizzazione TIpologica Strutturale</em> (CARTIS) form developed by the Seismic Engineering University Laboratories Network in conjunction with the Civil Protection Department. On knowing a building framework, structural health monitoring (SHM) systems can be applied on the town compartments (TCs) that are prone to the highest vulnerabilities. A priority criticalities scale can be devised starting from the building inventory by identifying the TCs through the CARTIS-based data. This approach can be used to determine a safety threshold obtained via structural parametrical analysis using commercial software (VEMnl) with different building typologies. The next stage consists of the implementation of appropriate SHM to provide important information regarding the structural integrity of the buildings. The proposed methodology is outlined in this paper with reference to the suggested SHM system<span lang="EN-US">.</span>


2014 ◽  
Vol 619 ◽  
pp. 1-9 ◽  
Author(s):  
Chuang Chen ◽  
R. Kaloop Mosbeh ◽  
Zong Lin Wang ◽  
Qing Fei Gao ◽  
Jun Fei Zhong

Structural Health Monitoring is becoming an increasingly common tool to obtain the long-term performance of infrastructures and buildings. Many structural health monitoring systems were developed and applied to different bridges in the world. However, very little is known on the applications in extreme cold environment. Fu Sui Bridge, a 1070 m variable cross-section continuous box-girder bridge, is located in the coldest province -- Heilongjiang province, China. In order to monitor the static and dynamic responses of the bridge under the traffic and environmental variation, a long-term continuous monitoring system was designed and installed on Fu Sui Bridge in April 2012. A hydrostatic leveling system was used to measure the displacement and fiber Bragg grating sensors were used to measure strain, acceleration and temperature. Moreover, other necessary components including data acquisition and transmission, data calculation and analysis software are also described. Summer and winter monitoring data are also presented. This paper focuses on: (1) the design and installation of the long-term continuous monitoring system hardware and (2) the operating pattern and function of the automatic monitoring system. After more than one year successful conducting, the system has provided a large amount of data records for daily management and research of the bridge. This system can be applied to extremely cold region.


2013 ◽  
Vol 139 (10) ◽  
pp. 1771-1779 ◽  
Author(s):  
Erin Santini Bell ◽  
Paul J. Lefebvre ◽  
Masoud Sanayei ◽  
Brian Brenner ◽  
Jesse D. Sipple ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Adam Scianna ◽  
Zhaoshuo Jiang ◽  
Richard Christenson ◽  
John DeWolf

This paper describes the application of a probabilistic structural health monitoring (SHM) method to detect global damage in a highway bridge in Connecticut. The proposed method accounts for the variability associated with environmental and operational conditions. The bridge is a curved three-span steel dual-box girder bridge located in Hartford, Connecticut. The bridge, monitored since Fall 2001, experienced a period of settling in the Winter of 2002-2003. While this change was not associated with structural damage, it was observed in a permanent rotation of the bridge superstructure. Three damage measures are identified in this study: the value of fundamental natural frequency determined from peak picking of autospectral density functions of the bridge acceleration measurements; the magnitude of the peak acceleration measured during a truck crossing; the magnitude of the tilt measured at 10-minute intervals. These damage measures, including thermal effects, are shown to be random variables and associatedPvalues are calculated to determine if the current probability distributions are the same as the distributions of the baseline bridge data from 2001. Historical data measured during the settling of the bridge is used to verify the performance of the bridge, and the field implementation of the proposed method is described.


2021 ◽  
Vol 1203 (3) ◽  
pp. 032101
Author(s):  
Gabriele Bertagnoli ◽  
Costanza Anerdi ◽  
Mario Ferrara

Abstract In the last decades, assessment and rehabilitation of the existing built environment constitute one of the major challenges for engineers, practitioners and code-makers all over the world. Aging, deterioration processes, lack of or improper maintenance, and increasing occurrence of extreme events have led to the need of more efficient methods for the safety assessment and retrofitting/rehabilitation of existing concrete structures like bridges. New approaches deriving from research should be able to provide solutions devoted to reduce and/or avoid the necessity of interventions, verifying the safety conditions for human life and performances for serviceability on aged infrastructures. Structural Health Monitoring (SHM) of existing bridges has become a key issue in all western world as most of the infrastructures of each Country are reaching the end of their design life. SHM can be divided classically in two approaches: static and dynamic. Static SHM is based on the measure of displacements and their derivatives like rotations or strains regardless of the dynamic behaviour of the structure. Clinometers are among the most used devices to measure angles on structures; they can provide high accuracy when used in static mode as advanced techniques of signal processing can be used to reduce the noise of the signal working on acquisitions that can last several seconds to provide one single accurate measure of angle. Nevertheless, many issues one the affidability and the correct use of measures done with clinometers have to be addressed to achieve a trustworthy SHM using such devices. In this paper the most relevant issues related to the f.e.m. modelling of a bridge deck in view of the use of clinometers for SHM are presented providing explanation using a test case bridge that has been under continuous investigation for many months. A brief explanation of the process for data cleaning and interpretation is also given, stressing out the limits of the technology and the possible outcomes.


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