Structural health monitoring of a prestressed concrete bridge in a critical state of conservation

2016 ◽  
pp. 238-238
Author(s):  
C.F. Rodrigues ◽  
C.F. Sousa ◽  
H. Figueiras ◽  
J.A. Figueiras
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Prestressed Concrete ◽  
Critical State ◽  
Concrete Bridge ◽  
Structural Health ◽  
Prestressed Concrete Bridge

scholarly journals Structural Health Monitoring Based on Acoustic Emissions: Validation on a Prestressed Concrete Bridge Tested to Failure

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7272
Author(s):  
Daniel Tonelli ◽  
Michele Luchetta ◽  
Francesco Rossi ◽  
Placido Migliorino ◽  
Daniele Zonta
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Prestressed Concrete ◽  
Acoustic Emissions ◽  
Maximum Load ◽  
Peak Frequency ◽  
Load Test ◽  
Concrete Bridge ◽  
Structural Health ◽  
Prestressed Concrete Bridge

The increasing number of bridges approaching their design life has prompted researchers and operators to develop innovative structural health monitoring (SHM) techniques. An acoustic emissions (AE) method is a passive SHM approach based on the detection of elastic waves in structural components generated by damages, such as the initiation and propagation of cracks in concrete and the failure of steel wires. In this paper, we discuss the effectiveness of AE techniques by analyzing records acquired during a load test on a full-size prestressed concrete bridge span. The bridge is a 1968 structure currently decommissioned but perfectly representative, by type, age, and deterioration state of similar bridges in operation on the Italian highway network. It underwent a sequence of loading and unloading cycles with a progressively increasing load up to failure. We analyzed the AE signals recorded during the load test and examined how far their features (number of hits, amplitude, signal strength, and peak frequency) allow us to detect, quantify, and classify damages. We conclude that AE can be successfully used in permanent monitoring to provide information on the cracking state and the maximum load withstood. They can also be used as a non-destructive technique to recognize whether a structural member is cracked. Finally, we noticed that AE allow classifying different types of damage, although further experiments are needed to establish and validate a robust classification procedure.

STRUCTURAL HEALTH MONITORING OF CORROSION POTENTIAL IN CONCRETE BRIDGE DECKS

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Hani Nassif ◽  
Chaekuk Na ◽  
Hasan Al-Nawadi ◽  
Adi Abu-Obeida ◽  
William Wilson
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Corrosion Potential ◽  
Silver Chloride ◽  
Bridge Decks ◽  
Concrete Structures ◽  
Concrete Bridge ◽  
Accelerated Corrosion ◽  
Structural Health ◽  
Concrete Bridge Decks

Structural Health Monitoring (SHM) of concrete structures during construction, as well as over its service life, has recently become more attractive to owners and consulting engineers. With the introduction of new materials and construction methods, various types of concrete structures are being instrumented with monitoring devices to determine their performance and response to various loading conditions. Among many other objectives, this includes monitoring concrete performance at the serviceability and durability limit states. This paper is an overview of an on-going program for the SHM of concrete bridge decks in the State of New Jersey focusing on field performance. Three types of corrosion sensors are instrumented to monitor the corrosion activities in concrete decks; one is the silver-silver chloride electrode and the other two are multi element probe (MEP) corrosion sensors. Other types of MEPs were also instrumented on bridge decks during reconstruction in late 1990s to monitor the corrosion potential of the bridge decks. Various types of sensors are installed in precast panels during fabrication as well as in-situ cast concrete decks during and after construction. Moreover, a laboratory-based accelerated corrosion testing program is also performed on concrete specimens using various types of rebars. This ongoing study is aimed at correlating laboratory-accelerated corrosion results with long-term performance of the steel in concrete bridge decks under field conditions.

Introduction to the use of wavelet multiresolution analysis for intelligent structural health monitoring

2004 ◽  
Vol 31 (5) ◽  
pp. 719-731 ◽  
Author(s):  
M.M Reda Taha ◽  
A Noureldin ◽  
A Osman ◽  
N El-Sheimy
Keyword(s):  
Neural Networks ◽  
Signal Processing ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Multiresolution Analysis ◽  
Prestressed Concrete ◽  
Digital Signal ◽  
Detection Algorithm ◽  
Structural Health ◽  
Wavelet Multiresolution Analysis

This paper suggests the use of wavelet multiresolution analysis (WMRA) as a reliable tool for digital signal processing in structural health monitoring (SHM) systems. A damage occurrence detection algorithm using WMRA augmented with artificial neural networks (ANN) is described. The suggested algorithm allows intelligent monitoring of structures in real time. The probability of damage occurrence is determined by evaluating the wavelet norm index (WNI) representing the energy of a signal describing the change in the system dynamics due to damage. An example application of the proposed algorithm is presented using a finite element simulated structural dynamics of a prestressed concrete bridge. The new algorithm showed very promising results.Key words: structural health monitoring, neural networks, wavelet analysis, signal processing, damage detection.

scholarly journals Yonjung High-Speed Railway Bridge Assessment Using Output-Only Structural Health Monitoring Measurements under Train Speed Changing

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Mosbeh R. Kaloop ◽  
Jong Wan Hu ◽  
Mohamed A. Sayed
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Prestressed Concrete ◽  
High Speed ◽  
Model Identification ◽  
Steel Girders ◽  
Structural Health ◽  
High Speed Trains ◽  
Output Only ◽  
Bridge Assessment

Yonjung Bridge is a hybrid multispan bridge that is designed to transport high-speed trains (HEMU-430X) with maximum operating speed of 430 km/h. The bridge consists of simply supported prestressed concrete (PSC) and composite steel girders to carry double railway tracks. The structural health monitoring system (SHM) is designed and installed to investigate and assess the performance of the bridge in terms of acceleration and deformation measurements under different speeds of the passing train. The SHM measurements are investigated in both time and frequency domains; in addition, several identification models are examined to assess the performance of the bridge. The drawn conclusions show that the maximum deflection and acceleration of the bridge are within the design limits that are specified by the Korean and European codes. The parameters evaluation of the model identification depicts the quasistatic and dynamic deformations of PSC and steel girders to be different and less correlated when higher speeds of the passing trains are considered. Finally, the variation of the frequency content of the dynamic deformations of the girders is negligible when high speeds are considered.

Sign in / Sign up

Export Citation Format

Share Document