Condition Ranking and Rating of Bridges Using Fuzzy Logic

Sasmal, Saptarshi; Ramanjaneyulu, K.; Iyer, Nagesh R.

doi:10.5772/37052

Cited by 5 publications

(4 citation statements)

References 33 publications

(31 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Combining three multicriterial methods had gain more precise and accurate outcomes. For example, studies [22][23][24][25][26][27][28][29][30][31][32][33][34][35] used the AHP or TOPSIS, or both methods to rank bridges according to the priority of the remediation or maintenance. Authors made a comparison with these studies within which the collected data are conducted through the AHP, TOPSIS, AHP-TOPSIS, and the results are compared with the proposed decision concept based on the AHP-evidential reasoning-TOPSIS methodology.…”

Section: Discussionmentioning

confidence: 99%

“…Sasmal et al [31] studied the possibilities of using fuzzy logic theory for condition assessment and rating of bridges, developing a systematic procedure and formulations for rating existing bridges. Sasmal, Ramanjaneyulu, and Iyer [32] used AHP for priority ranking of the existing bridges towards their assessment of condition. Vacheyroux and Corotis [33] presented a probabilistic life-cycle-based investment framework to develop decisions for bridge maintenance and rehabilitation priority ranking using the savings-to-investment ratio as a measure of cost-effectiveness.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Decision Concept to the Historic Pedestrian Bridges Recovery Planning

2021

View full text Add to dashboard Cite

One of the important segments of pedestrian infrastructure are pedestrian bridges. The importance is greater if these bridges are of historical and cultural significance to the city or region. To manage these bridges, it is important to develop an approach that can enable systematic and organized decision-making for experts and policy makers. Hereby, a recovery of bridges is analyzed for the priority ranking of historic pedestrian bridges. Maps of Europe from XIX. Century for the area of Split-Dalmatia County (SDC) are used to locate the bridges. A total of nine bridges are identified, and a set of relevant criteria are defined to evaluate these bridges. The Analytic Hierarchy Process (AHP) is used for the comparison of criteria, evidential reasoning for the assessment of bridges according to each criterion, and then the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is conducted for priority ranking of bridges for the recovery planning. To achieve the final order of bridges it was crucial to take into account mechanical, dynamical, ecological, financial, and, also, social characteristics of these bridges, which was not an easy task. For this reason, the authors proposed a model of decision support to help policy and decision makers in the managing of recovery activities of historic road bridges. The model was conducted on the bridges in the area of SDC, built until the end of the Austro-Hungarian Monarchy.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Decision Concept to the Historic Pedestrian Bridges Recovery Planning

2021

View full text Add to dashboard Cite

show abstract

“…Ross [73] suggested six methods to assign membership values or functions: (i) intuition, (ii) inference, (iii) rank ordering, (iv) neural networks, (v) genetic algorithms, and (vi) inductive reasoning. In addition, there are two main approaches for developing the membership function in the literature: expert-driven and data-driven [23][24][25]73,75].…”

Section: Determination Of Membership Functions and Fuzzificationmentioning

confidence: 99%

Condition Assessment Framework for Facility Management Based on Fuzzy Sets Theory

2021

View full text Add to dashboard Cite

Condition information is essential to develop effective facility management (FM) strategies. Visual inspections and walk-through surveys are common practices of condition assessment (CA), generally resulting in qualitative and subjective outcomes such as “poor”, “good”, etc. Furthermore, limited resources of the FM process demand that CA practices be efficient. Given these, the purpose of this study is to develop a resource efficient quantitative CA framework that can be less subjective in establishing a condition rating. The condition variables of the study—mean time between failures, age-based obsolescence, facility condition index, occupant feedback, and preventive maintenance cycle—are identified through different sources, such as a computerized maintenance management system, expert opinions, occupants, and industry standards. These variables provide proxy measures for determining the condition of equipment with the implementation example for heating, ventilating, and air conditioning equipment. Fuzzy sets theory is utilized to obtain a quantitative condition rating while minimizing subjectivity, as fuzzy sets theory deals with imprecise, uncertain, and ambiguous judgments with membership relations. The proposed CA framework does not require additional resources, and the obtained condition rating value supports decision-making for building maintenance management and strategic planning in FM, with a comprehensive and less subjective understanding of condition.

show abstract

“…Guclu and Metin [24] tested the fuzzy logic system to control the light rail transport vehicles vibrations. The application of the fuzzy logic for the durability assessment of bridge structures is presented in [25].…”

mentioning

confidence: 99%

Fuzzy logic enhancement of material hardening parameters obtained from tension–compression test

Wójcik

Skrzat

2019

Continuum Mech. Thermodyn.

View full text Add to dashboard Cite

This paper presents the determination of material hardening parameters with the use of the fuzzy set theory. The hardening parameters were initially predicted from measurements taken in the cyclic tensioncompression test. The experimental hysteresis loop was compared to numerical one obtained by the integration of the plastic flow rule. The nonlinear combined hardening model-Voce isotropic hardening and Frederick-Armstrong kinematic hardening-was considered here. After the initial selection, the hardening parameters were adjusted in the optimization problem using the least-squares method. An approximation error of the hysteresis loop was minimized. Finally, nonlinear isotropic and kinematic hardening parameters were assumed to be fuzzy variables. Hardening parameters obtained in the optimization problem were randomly scattered up to 20%, and the membership functions associated with them were computed. The approximation error of the hysteresis loop was found for each selection of the hardening parameters providing the output membership function associated with this error. The α-level optimization method was used as the main numerical tool, while the extension principle was tested only as the reference solution. In the defuzzification process, the most reliable hardening parameters were found.

show abstract

Condition Ranking and Rating of Bridges Using Fuzzy Logic

Cited by 5 publications

References 33 publications

A Decision Concept to the Historic Pedestrian Bridges Recovery Planning

A Decision Concept to the Historic Pedestrian Bridges Recovery Planning

Condition Assessment Framework for Facility Management Based on Fuzzy Sets Theory

Fuzzy logic enhancement of material hardening parameters obtained from tension–compression test

Contact Info

Product

Resources

About