Presentation a New Method for Determining of Bridge Condition Index by Using Analytical Hierarchy Process

Darban, Saeid; Tehrani, Hosein Ghasemzadeh; Karballaeezadeh, Nader

doi:10.20944/preprints202003.0420.v1

Cited by 5 publications

(4 citation statements)

References 18 publications

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“…Indeed, using this classification system, it was possible to calculate a CS index which characterizes the degree of degradation of the structure. The obtained CS (8.519) located in the interval [8,10] classifies the structure as highly degraded (Class 3U according to IQOA).…”

Section: Discussionmentioning

confidence: 99%

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Fuzzy Analytical Hierarchy Processes for Damage State Assessment of Arch Masonry Bridge

2021

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The present work proposes a fuzzy analytical hierarchy approach for decision making in the maintenance programming of masonry arch bridges. As a practical case, we propose to classify the degradation state of the Mohammadia masonry bridge. A large number of criteria and sub-criteria are combined to classify this type of bridges through visual inspections. The main criteria (level 1) considered in this work are the history of the bridge, the environmental conditions, the structural capacity and the professional involvement of the bridge. In addition, these criteria are subdivided into several sub-criteria (level 2) which are, in turn, subdivided into sub-criteria (level 3). Considering these criteria and sub-criteria, weights Wiare calculated by fuzzy geometric mean method of Buckley. Subsequently, expert scores were assigned to calculate the overall score CS reflecting the degradation of the considered infrastructure. Thereafter, the masonry arch bridges are classified respecting the French IQOA scoring system using the overall scores value CS. The proposed classification method gave similar results provided by an expert’s study realized previously as part of a national patrimony preservation policy. The obtained results are in good agreement, which makes this method an effective scientific tool for decision-making in view of prioritization of the maintenance after systematic inspection of masonry bridges such as the bridge studied in this work. Doi: 10.28991/cej-2021-03091770 Full Text: PDF

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Section: Discussionmentioning

confidence: 99%

“…Since this date, several efforts were made by researchers to perform and improve this method [3][4][5][6][7]. Indeed, the AHP method can be generalized to determine the risks associated with bridges [8][9][10]. Thus, a scoring system is combined to help engineers establish a bridge reinforcement scheme using the AHP approach [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Analytical Hierarchy Processes for Damage State Assessment of Arch Masonry Bridge

2021

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“…Concrete serves as the most adaptable building material on the planet. It has the title of "biggest man-made substance" with an average per capita usage exceeding 2 kg [1,2]. Concrete is the preferred material for a wide range of uses including buildings, bridge, roadway pavement, industrial structures, liquid storage structures, retaining structures and so on.…”

Section: Introductionmentioning

confidence: 99%

Optimized properties of concrete at various exposure conditions

Patil¹,

Dubey²,

Patil³

2023

Res. Eng. Struct. Mater.

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This research explores the testing of M40 grade concrete results under various exposure scenarios. The characteristics of concrete are investigated at the plastic and hardening stages. The characteristics of concrete at both stages vary depending on the exposure circumstances. The rheological qualities of the concrete as well as its strength characteristics under various exposure situations are investigated. It has been noted that as exposure conditions deteriorate, cement content gradually rises while W/C and water content decrease. This research is more beneficial for predicting the diverse properties of concrete under various exposure conditions. This will also aid in reducing losses incurred during construction and structural decay. During the investigation, the correlation matrix and Principal Component Analysis (PCA) are used to evaluate the interrelationship of the experimental variables, which yields more accurate results and predictions of the various characteristics of concrete. A Multivariate Linear Regression (MLR) model developed for the prediction of concrete qualities in the plastic and hardens stages. The MLR model found to be best matched to experimental data, and its forecast is correct. The Response Surface Method (RSM) used to find the optimal properties of the concrete in all types of exposure scenarios.

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“…Track beams are typically made of reinforced concrete materials, and the assessment methods for them have mainly been borrowed from highway bridges. In recent years, a series of bridge condition assessment methods have been established such as reliability theory [4][5] , hierarchical analysis [6] , machine learning [7] , finite element model (FEM) modification [8][9][10] , and so on. The finite element model modification method has garnered significant interest due to its clear physical meaning and strong mechanical analysis capabilities.…”

Section: Introductionmentioning

confidence: 99%

Straddle-Type Monorail State Assessment Based on Adaptive Whale Optimization Algorithm

Liu,

Liao,

Meng

et al. 2023

Advances in Frontier Research on Engineering Structures

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The condition parameter evaluation of straddle-type monorail beam based on finite element model modification is a high-dimensional parameter optimization problem, which tends to fall into local optimization. The whale optimization algorithm has the advantages of few required parameters, and good optimization search, while it has rarely been applied in the bridge engineering field, and its applicability needs further verification. Therefore, an analytical framework based on the adaptive whale optimization algorithm and deflection influence line is constructed using finite element model modification techniques, and its feasibility is verified for high-dimensional parametric state assessment of straddle-type monorails. The results show that the adaptive whale optimization algorithm can be used in the condition assessment of straddle-type with a maximum error of 3.5% in the identification of high-dimensional (20-dimensional) parameters, and the accuracy and rate of the algorithm are optimized for the standard whale optimization algorithm; in addition, using the deflection influence line of 1/4 span, mid-span and 3/4 span as the optimization target can reduce the error and improve the accuracy of the condition assessment of rail beams.

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Presentation a New Method for Determining of Bridge Condition Index by Using Analytical Hierarchy Process

Cited by 5 publications

References 18 publications

Fuzzy Analytical Hierarchy Processes for Damage State Assessment of Arch Masonry Bridge

Fuzzy Analytical Hierarchy Processes for Damage State Assessment of Arch Masonry Bridge

Optimized properties of concrete at various exposure conditions

Straddle-Type Monorail State Assessment Based on Adaptive Whale Optimization Algorithm

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