Assessment of remaining service life of deteriorated concrete bridges under imprecise probabilistic information

2022 ◽  
Vol 167 ◽  
pp. 108565
Author(s):  
Jahangir Alam ◽  
Luis A.C. Neves ◽  
Hao Zhang ◽  
Daniel Dias-da-Costa
2011 ◽  
Vol 90-93 ◽  
pp. 1162-1167
Author(s):  
Yi Qiang Xiang ◽  
Dong Mei Guo ◽  
Kun Cheng

There is a strong need in maintenance and management of bridge that analyzes and predicts remaining service life (RSL) of reinforced concrete bridge. Since structural resistance of concrete bridge is generally suffered from environment, load and material etc. factors, which are intercoupled and time-varying. Hence researchers should consider the economic development of road traffic area, environment of operational bridge, variation of load, deterioration law of materials, and maintenance cost of LCC for predicting RSL of bridge. This paper reviews recent model of predicting the remaining service life (RSL) for concrete bridge and serviceability, analyzes model characteristic and defects, and looks forward to future research from the viewpoint of structure durability, reliability and life cycle cost, respectively.


Author(s):  
Eline Vereecken ◽  
Wouter Botte ◽  
Robby Caspeele ◽  
Geert Lombaert

<p>Existing concrete bridges can show signs of deterioration, e.g. due to corrosion, in which case the question arises whether these bridges still have an acceptable safety level. To obtain additional information about the state of the structure, different types of information can be gathered. However, the measurements performed are often not used directly to update the estimate of the corrosion degree of the bridge and the resulting information from different measurement types is not combined. In this contribution, it is investigated how parameters of the service life models for concrete girders subjected to chloride-induced corrosion can be updated based on heterogeneous measurement data, with the focus on modal measurements and strain measurements. The posterior distributions of these parameters are generated based on Bayesian updating. These updated distributions can be used to get a more accurate estimate of the real deterioration state of the bridge. Based on this, the failure probability of the bridge and its remaining service life can be estimated more accurately.</p>


1997 ◽  
Vol 503 ◽  
Author(s):  
H. Jiang ◽  
M. K. Davis ◽  
R. K. Eby ◽  
P. Arsenovic

ABSTRACTPhysical properties and structural parameters have been measured for ropes of nylon 6 as a function of the number of use operations. The fractional content of the α crystal form, sound velocity, birefringence, tensile strength and length all increase systematically and significantly with increasing the number of use operations. The fractional content of the γ crystal form and fiber diameter decrease with use. These trends indicate that the measurement of such properties and structural parameters, especially the length, provide a possible basis for establishing a reliable, rapid, and convenient nondestructive characterization method to predict the remaining service life of nylon 6 ropes.


2009 ◽  
Vol 167 (2) ◽  
pp. 1-9
Author(s):  
Shinsuke Miki ◽  
Hiroshi Okazawa ◽  
Taketoshi Hasegawa ◽  
Sei Tsunoda ◽  
Hiroshi Inujima

Author(s):  
Neil A. Cumming

This paper describes the author’s views on durability and service life of concrete bridges in North America, considering the past, present and future. Historical materials and practices have resulted in disappointing durability and service life that does not meet modern expectations. In recent years formal service life analysis and prediction has been implemented as part of the design process for major projects, typically involving numerical modelling of time to corrosion, and mitigation or avoidance of other forms of deterioration by empirical methodology. These efforts are, however, hampered by a lack of an accepted service life design standard which is adapted to North American practice and materials. Work is under way to answer this need. In the future, further development is needed to provide a better match between expectations and reality, a more practical definition of “service life”, validation of design features implemented to mitigate or avoid deterioration for which there are no available time-based models, and improved validation of numerical modelling parameters that describe exposure conditions and material resistances.


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