scholarly journals Knowledge-Based Fuzzy Expert System to the Condition Assessment of Historic Road Bridges

2021 ◽  
Vol 11 (3) ◽  
pp. 1021
Author(s):  
Katarina Rogulj ◽  
Jelena Kilić Pamuković ◽  
Nikša Jajac
Keyword(s):  
Expert System ◽  
Geometric Mean ◽  
Condition Assessment ◽  
Analytic Hierarchy ◽  
Centroid Method ◽  
Assessment Index ◽  
Knowledge Based ◽  
Condition Rating ◽  
Bridge Condition Assessment ◽  
Bridge Condition Rating

A systematic methodology for condition assessment of the historic road bridges was needed because of the poor and inadequate condition of bridges which cannot satisfy everyday-day dynamic loads and deteriorations due to the aging process. Thus in this study, a new expert system based on the knowledge approach has been proposed to develop a systematic procedure for condition assessment of these bridges using fuzzy logic and sets of α-cuts. Each bridge is divided into three components: superstructure, substructure, and equipment, and each component is divided into relevant elements. These elements are evaluated by an expert and their ratings are fuzzified according to defined fuzzy sets, their membership functions, and linguistic values. Furthermore, fuzzy structural importance is given to ratings of each element. Combinations of these two values are calculated to obtain a fuzzy rating of the component using the Fuzzy Weighted Geometric Mean (FWGM). Finally, for the defuzzification of the component rating, the centroid method is proposed. The Analytic Hierarchy Process (AHP) is used for comparison of the components. The bridge condition rating is achieved by summering all the components ratings multiplied by their relative importance, and it is presented as a value of the Historic Road Bridge Condition Assessment Index (HRBCAI). The validation is conducted on the bridges built until the end of the Austro-Hungarian Monarchy in Split-Dalmatia County, Croatia.

Urban Railway Bridge Fast Evaluation Based on Cloud Computing

2011 ◽  
Vol 71-78 ◽  
pp. 4501-4505
Author(s):  
Ming Chen ◽  
Wan Zhou
Keyword(s):  
Neural Networks ◽  
Cloud Computing ◽  
Model Updating ◽  
Condition Assessment ◽  
Fe Model ◽  
Railway Bridge ◽  
Fast Evaluation ◽  
Railway Bridges ◽  
Computing Model ◽  
Bridge Condition Assessment

Although modern bridge are carefully designed and well constructed, damage may occur in them due to unexpected causes. Currently, many different techniques have been proposed and investigated in bridge condition assessment. However, evaluation efficiency of condition assessment has not been paid much attention by the researchers. A fast evaluation of the urban railway bridge condition based on the cloud computing is presented. In this paper dynamic FE model and Artificial neural networks technique is applied to model updating. The cloud computing model provides the basis for fast analyses. It was found that when applied to the actually railway bridges, the proposed method provided results similar to those obtained by experts, but can improve efficiency of bridge

scholarly journals Condition Assessment Framework for Facility Management Based on Fuzzy Sets Theory

Buildings ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 156
Author(s):  
Deniz Besiktepe ◽  
Mehmet E. Ozbek ◽  
Rebecca A. Atadero
Keyword(s):  
Fuzzy Sets ◽  
Condition Index ◽  
Condition Assessment ◽  
Facility Management ◽  
Maintenance Management ◽  
Fuzzy Sets Theory ◽  
Mean Time Between Failures ◽  
Condition Rating ◽  
Computerized Maintenance Management System ◽  
Sets Theory

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.

Elementary Analysis on Construction of Assessment Index System of Cleaner Production of Cheese Dyeing Enterprises

2012 ◽  
Vol 268-270 ◽  
pp. 2031-2034
Author(s):  
Zheng Li ◽  
Ding Gui Luo
Keyword(s):  
Delphi Method ◽  
Index System ◽  
Cleaner Production ◽  
Analytic Hierarchy ◽  
Assessment Index ◽  
Elementary Analysis ◽  
Assessment Index System ◽  
Standard Value ◽  
Hierarchy Process ◽  
Different Levels

The concrete assessment index of cheese dyeing enterprises’ cleaner production is filtered out by the classic Delphi method (Delphi) of expert evaluation. According to the characteristic of Analytic Hierarchy Process (AHP),we have identified the different levels. Finally, assessment index system was established and the weight of each index and standard value were also determined. The cleaner production level can be evaluated eventually more intuitively. So it can provide the technical support and guidance for cleaner production assessment of Cheese Dyeing Enterprises and realize a sustainable development of this kind of enterprises.

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