Abstract:The prefabricated reinforced concrete (RC) hollow slab bridges, with the advantages of high quality, lower cost and shorter construction period, have been widely used for small-to-medium-span highway bridges in China. Because of environmental deterioration and traffic volume increases, the performance of the bridge system deteriorates gradually. Accurate bridge system evaluation can provide a reliable basis for maintenance and management. A bridge system is composed of multiple interrelated components, which m… Show more
“…Introduced by Thomas Satty in 1980, the analytic hierarchy process (AHP) provides a mechanism for switching the criteria rating into weights [4,42]. AHP is an effective and powerful tool for multi-criteria decision-making approaches.…”
Section: Analytical Hierarchy Process (Ahp)mentioning
confidence: 99%
“…A large portion of the national resources of each country is invested in this area. As one of the most important parts of transportation systems, bridges have a critical role in urban development [1][2][3][4][5]. The bridge conditions in the transportation networks are so important that the costs incurred by out-of-service bridges are exorbitant.…”
This paper proposes a method for monitoring the structural health of concrete bridges in Iran. In this method, the bridge condition index (BCI) of bridges is determined by the analytical hierarchy process (AHP). BCI constitutes eight indices that are scored based on the experts’ views, including structural, hydrology and climate, safety, load impact, geotechnical and seismicity, strategic importance, facilities, and traffic and pavement. Experts’ views were analyzed by Expert Choice software, and the relative importance (weight) of all eight indices were determined using AHP. Moreover, the scores of indices for various conditions were extracted from experts’ standpoints. BCI defines as the sum of weighted scores of indices. Bridge inspectors can examine the bridge, determine the scores of indices, and compute BCI. Higher values of BCI indicate better conditions. Therefore, bridges with lower BCI take priority in maintenance activities. As the case studies, the authors selected five bridges in Iran. Successful implementation of the proposed method for these case studies verified that this method can be applied as an easy-to-use optimization tool in health monitoring and prioritizing programs.
“…Introduced by Thomas Satty in 1980, the analytic hierarchy process (AHP) provides a mechanism for switching the criteria rating into weights [4,42]. AHP is an effective and powerful tool for multi-criteria decision-making approaches.…”
Section: Analytical Hierarchy Process (Ahp)mentioning
confidence: 99%
“…A large portion of the national resources of each country is invested in this area. As one of the most important parts of transportation systems, bridges have a critical role in urban development [1][2][3][4][5]. The bridge conditions in the transportation networks are so important that the costs incurred by out-of-service bridges are exorbitant.…”
This paper proposes a method for monitoring the structural health of concrete bridges in Iran. In this method, the bridge condition index (BCI) of bridges is determined by the analytical hierarchy process (AHP). BCI constitutes eight indices that are scored based on the experts’ views, including structural, hydrology and climate, safety, load impact, geotechnical and seismicity, strategic importance, facilities, and traffic and pavement. Experts’ views were analyzed by Expert Choice software, and the relative importance (weight) of all eight indices were determined using AHP. Moreover, the scores of indices for various conditions were extracted from experts’ standpoints. BCI defines as the sum of weighted scores of indices. Bridge inspectors can examine the bridge, determine the scores of indices, and compute BCI. Higher values of BCI indicate better conditions. Therefore, bridges with lower BCI take priority in maintenance activities. As the case studies, the authors selected five bridges in Iran. Successful implementation of the proposed method for these case studies verified that this method can be applied as an easy-to-use optimization tool in health monitoring and prioritizing programs.
“…The live load effect Q is the internal force generated by the live load on the structure, where the live load refers to the load whose value changes with time. For the calculation method of the resistance, dead load effect, and live load effect, please refer to References [2,45,46]. The resistance, dead load effect, and live load effect of each slab segment follow a normal distribution [20].…”
Section: Bridge Descriptionmentioning
confidence: 99%
“…Bridge structures are an important part of the transportation system and play an important role. The reinforced concrete (RC) simply supported girder bridges, with the characteristics of higher quality and lower cost, have been widely used for small-to-medium-span highway bridges in China [2]. The bridge structure 2 of 19 in service is subjected to the coupling effect of environmental erosion and traffic load, which will cause the aging of concrete components, further reduce the bearing capacity, and even cause the collapse of the bridge [3][4][5].…”
The system reliability evaluation of a bridge structure is a complicated problem. Previous studies have commonly used approximate estimation methods, such as the wide bounds method and the narrow bounds method, but neither could obtain an accurate result. In recent years, the copula theory has been introduced into the system reliability evaluation, which can obtain more accurate results than the approximate methods. However, most studies simply construct binary copula functions to consider the joint failure of two failure modes. For a complex bridge structure composed of multiple components and failure modes, the joint failure of multiple failure modes needs to be considered. Before evaluating the system reliability, it is necessary to determine the failure criteria of the system. Different failure criteria for simply supported beam bridges have been proposed. However, there is no standard available to determine which failure criterion to choose, and the selection of failure criteria is ambiguous. In this paper, a novel method is proposed to evaluate the system reliability of a simply supported beam bridge by considering multiple failure criteria based on multivariate copulas and the analytic hierarchy process entropy weight (AHP–EW) method. The method first considers multiple failure criteria comprehensively and constructs multivariate copulas for the joint failure of multiple components in a bridge system reliability evaluation. The AHP–EW method is a comprehensive weighting method combining the analytic hierarchy process and entropy weight methods, which is used to establish the hierarchical analysis model between system reliability and multiple failure criteria. By considering the joint failure of multiple failure modes in the system reliability evaluation under a single failure criterion, multivariate copula functions were constructed. In order to verify the applicability of the proposed bridge system reliability method, a simply supported reinforced concrete (RC) hollow slab bridge composed of nine slab segments was selected as the numerical example. The results indicate that the method proposed in this paper could evaluate the bridge system reliability more comprehensively and reasonably.
“…A large portion of the national resources of each country is invested in this area. As one of the most important parts of transportation systems, bridges have a critical role in urban development [1][2][3][4][5][6]. The bridge conditions in the transportation networks are so important that the costs incurred by out of service bridges are exorbitant.…”
This paper proposes a method for monitoring the structural health of concrete bridges in Iran. In this method, the bridge condition index (BCI) of bridges is determined by the analytical hierarchy process. BCI constitutes eight indices that are scored based on the experts' views, including structural, hydrology and climate, safety, load impact, geotechnical and seismicity, strategic importance, facilities, and traffic and pavement. Experts' views were analyzed by Expert Choice software, and the relative importance (weight) of indices were determined using the analytical hierarchy process (AHP). Then, the gave scores of experts were assigned to indices for various conditions. Bridge inspectors can examine the bridge, determine the scores of indices, and compute BCI. Higher values of BCI indicate better conditions. Therefore, bridges with lower BCI take priority in maintenance activities. Five bridges in Iran, Semnan province, were selected as the case studies, and BCI calculation of these bridges was conducted.
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