Reliability Evaluation Index System Research Articles

Comprehensive durability assessment of in-service concrete bridges based on combination weighting and extenics cloud model

In recent years, with the continuous development of urban transportation, the durability of concrete bridge structures has become increasingly prominent. Many in-service concrete bridges exhibit issues such as cracks, excessive deflection, and a significant reduction in load-bearing capacity during their service life. To meet the requirements of sustainable development, it is urgent to assess the durability of bridges accurately. Therefore, this paper establishes a scientific and reliable evaluation index system for the durability of in-service concrete bridges. Based on a review of the literature and relevant standards and specifications, this paper establishes an evaluation index system for the durability of in-service concrete bridges and calculates the weights using a combination weighting method. The durability of the bridges is assessed using the extension cloud model theory, and MATLAB is utilized for efficient and accurate computation and analysis, ultimately determining the durability grades of the bridges. The method was applied to the durability assessment of five in-service concrete bridges, and the results were in high agreement with the measured data, proving its effectiveness and accuracy. The research results provide a scientific basis for the management and maintenance of concrete bridges, which can help extend their service life. Future studies will expand the sample to cover more bridge types to comprehensively assess and enhance the durability of bridges.

Urban Vulnerability Analysis Based on Micro-Geographic Unit with Multi-Source Data—Case Study in Urumqi, Xinjiang, China

This study introduces a novel approach to urban public safety analysis inspired by a streetscape analysis commonly applied in urban criminology, leveraging the concept of micro-geographical units to account for urban spatial heterogeneity. Recognizing the intrinsic uniformity within these smaller, distinct environments of a city, the methodology represents a shift from large-scale regional studies to a more localized and precise exploration of urban vulnerability. The research objectives focus on three key aspects: first, establishing a framework for identifying and dividing cities into micro-geographical units; second, determining the type and nature of data that effectively illustrate the potential vulnerability of these units; and third, developing a robust and reliable evaluation index system for urban vulnerability. We apply this innovative method to Urumqi’s Tianshan District in Xinjiang, China, resulting in the formation of 30 distinct micro-geographical units. Using WorldView-2 remote sensing imagery and the object-oriented classification method, we extract and evaluate features related to vehicles, roads, buildings, and vegetation for each unit. This information feeds into the construction of a comprehensive index, used to assess public security vulnerability at a granular level. The findings from our study reveal a wide spectrum of vulnerability levels across the 30 units. Notably, units X1 (Er Dao Bridge) and X7 (Gold Coin Mountain International Plaza) showed high vulnerability due to factors such as a lack of green spaces, poor urban planning, dense building development, and traffic issues. Our research validates the utility and effectiveness of the micro-geographical unit concept in assessing urban vulnerability, thereby introducing a new paradigm in urban safety studies. This micro-geographical approach, combined with a multi-source data strategy involving high-resolution remote sensing and field survey data, offers a robust and comprehensive tool for urban vulnerability assessment. Moreover, the urban vulnerability evaluation index developed through this study provides a promising model for future urban safety research across different cities.

Reliability Assessment of Highway Bridges Based on Combined Empowerment–TOPSIS Method

(1) In recent years, with the continuous increase of the state’s investment in infrastructure, the construction of highways and bridges has developed rapidly, which has brought great convenience to people’s lives. At the same time, with the increase of bridge service time, the reliability of bridges declines. In order to meet the requirements of sustainable development, it is necessary to accurately evaluate the reliability of bridges. However, most of the existing evaluation methods have single-weighting and one-sidedness. There are problems such as strong subjectivity and overly simple evaluation procedures. Therefore, it is urgent to establish a new scientific bridge reliability evaluation system. (2) Methods. In this paper, a bridge superstructure is taken as the research object, and the “Technical Condition Assessment Standard for Highway Bridges” (JTG/T H21-2011) is used as the criterion to establish a bridge reliability evaluation index system. The subjective and objective weights of the evaluation indicators are based on minimum discriminant information. Each evaluation indicator is combined and weighted; then, the closeness of each evaluation object to the positive ideal solution is determined according to Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Finally, the reliability level of each evaluation object is determined. (3) Results. Reliability evaluation of the three-span superstructure of the bridge was carried out, and final reliability evaluation results of “Grade 2, Grade 2, Grade 2” were obtained, which are consistent with the actual working state of the bridge. (4) Conclusions. The evaluation results of this paper are consistent with the results obtained by the traditional AHP–Extenics method, but the evaluation model of this paper adopts combined weighting, which avoids the one-sidedness of the weighting of a single method—thus, the comprehensive weight obtained not only reflects the subjective intention of decision makers, but also reflects the objective properties of the data.

Construction and Analysis of Governance Evaluation Index System of Beijing Urban Subcenter Based on System Theory and Information Theory

The construction of subcenters is considered an effective measure to solve the diseases in big cities and improve urban competitiveness. China takes the planning and construction of the Beijing urban subcenter as a major national decision-making deployment. Therefore, the establishment of a scientific and reliable evaluation index system for the urban subcenter is of great significance to the public sector to diagnose urban problems and improve urban performance management. Under the guidance of system theory, this paper establishes the governance evaluation index system of the Beijing subcenter based on the five subsystems: economic subsystem, social subsystem, cultural subsystem, ecological subsystem, and administrative subsystem, and 29 secondary indicators. After comprehensively examining the panel data of the overall Beijing urban system during the construction of the subcenter (2010–2019), the entropy method is used to objectively assign the value of the Beijing urban subcenter (Tongzhou District), and it is compared with other 15 municipal districts. The derivation of the development dynamic evolution of the Beijing urban subcenter is completed through the geospatial visualization and the linear regression fitting. It is found that the comprehensive index of urban subcenter governance in Beijing shows an upward trend year by year and has developed by leaps and bounds under the promotion of the central policy. Driven by Beijing’s subcenter strategy, the development model of the whole of Beijing has moved from a typical center diffusion model to a dual center to a subcenter and even a diversified development pattern. This paper proposes to lead urban development with the concept of high-quality development, adhere to innovation-driven, improve urban comprehensive carrying capacity through urban software and hardware construction, and realize regional coordinated development on a larger spatial scale.

Sensor Reliability Evaluation Index System for Main Equipment of Power Distribution IoT

Background: Power distribution Internet of Things is a smart service system in which traditional distribution networks comprehensively apply modern computing technologies, such as cloud computing, mobile Internet of Things, and big data to realize the interconnection of all things in the power system and human-computer interaction. In the power distribution Internet of Things, there are many types of main power distribution equipment, and each type of power distribution equipment is connected with multiple sensor devices. These sensor devices play an important role in the smooth operation of the power distribution Internet of Things, so it is necessary to build a reliability evaluation system for these sensor devices. Objectives: The objective was to evaluate the reliability of the sensor device connected to the main equipment in the power distribution Internet of Things. Methods: Firstly, the G1-CV method (entropy weight method-coefficient of variation method) is used to construct the initial evaluation index system, and the comprehensive weight of each index is determined and ranked. Then the improved TriMap algorithm (ITriMap) is used to reduce the high-dimensional complex index system. Results: Simulation verification results show that the algorithm has a smaller reconstruction error than traditional dimensionality reduction algorithms such as t-SNE, Largr-Vias, UMAP, etc. The reduced index can scientifically and objectively measure the main equipment sensors of the power distribution network. Conclusion: An index reduction method based on the ITriMap algorithm is proposed to evaluate the reliability of sensors. Experimental results show that this algorithm greatly reduces the reconstruction error compared to other traditional methods. Discussion: In the future, on the basis of this article, we intend to construct a sensor reliability evaluation model for the main equipment of the power distribution Internet of Things using the 5- dimensional features after dimensionality reduction as input.

Research on evaluation method of energy supply reliability of regional energy Internet

This paper studies the reliability evaluation technology of regional energy Internet and represents a reliability evaluation method considering the optimal load reduction strategy. The application scenario of regional Energy Internet with power system as the core is built. The specific form is that multiple Integrated Energy systems are connected to the superior distribution network through the tie line. The reliability evaluation index system of power system and regional energy Internet is introduced. Based on the modelling of components in the regional energy Internet application scenario in this paper, the operation model and two-state Markov model are mainly established for the renewable energy power generation devices, energy coupling devices and energy storage devices in IES. The optimal load reduction models based on load classification are established for the faults of distribution network lines and the faults of IES internal components connected to the distribution network in regional energy Internet respectively. Through the construction of different application scenarios, the load reduction situation under different faults and different component parameters is analysed, and the corresponding reliability index calculation and result analysis are carried out.

Research on Flexible Reliability Evaluation of Distribution Network System with Distributed Energy Access

Access to distributed energy has brought a greater impact on the system. By analyzing the flexibility of the distribution network itself, considering the evaluation indicators of the three dimensions of effect, degree and service, this paper designs a flexible reliability evaluation index system for the distribution network, using principal component analysis and multi-level fuzzy comprehensive evaluation thoughts, a flexible reliability model was established, and calculation examples were analyzed, which is helpful to provide guidance for the development of regional distribution networks.

The research on operational reliability evaluation of straddle-type monorail vehicle

ABSTRACTIn order to master the main malfunction and the law of occurrence of the vehicle which affects the operational reliability of the Straddle-Type Monorail traffic, this paper, based on the structural characteristics of monorail vehicle system and the statistical data of vehicle operational malfunction, uses the analysis method of system reliability engineering to study and determine the key factors that affect the operational reliability of monorail vehicle. Then, the operational reliability evaluation index system of monorail vehicle is established based on the influencing factors. Finally, the AHP (Analytic Hierarchy Process) method is used to determine the weights of each index, and the fuzzy comprehensive evaluation method is used to evaluate the operational reliability of monorail vehicle synthetically. The evaluation results have some guidance on the development of more effective maintenance strategies for monorail vehicle maintenance departments.

Effect of Evaluation Factors Selection on the Seawater Intrusion Evaluation Based on the Fuzzy Mathematic Method

Taking Cl-, mineralization (M), salinization coefficient (A), sodium absorption ratio (SAR) and SO42- as the evaluation factors, we established a comprehensive evaluation method for seawater intrusion based on the fuzzy mathematic model. Sample data from two different sites are chosen to investigate the effect of evaluation factor selection on the overall evaluation result of seawater intrusion. The correlation analysis results show that Cl-, A and SO42- expect SAR present a good lineal relationship with M. The evaluation results of the seawater intrusion degree based on the fuzzy evaluation method is much more severe than that based on the single-factor method, indicating that the fuzzy evaluation method could be a more reliable way for the assessment of seawater intrusion. Nevertheless, whether removing the individual evaluation factor of SO42- or SAR away, some evaluation results get changed, confirming that the proper selection of evaluation factors has a significant effect on the overall evaluation result of seawater intrusion. In order to establish a reliable evaluation index system of seawater intrusion, it is necessary to do a lot of survey work to find out which evaluation factors can really reflect the seawater intrusion degree and their proper ranking values.

Condition evaluation for existing reinforced concrete bridge superstructure using fuzzy clustering improved by particle swarm optimisation

Condition evaluations of old bridges are necessary for determining their health states and providing priority levels of maintenance. In this paper, a novel condition evaluation approach for reinforced concrete (RC) bridge superstructure is presented based on fuzzy c-mean clustering optimised by particle swarm optimisation (FCM-PSO) algorithm. It is equipped with the advantages of PSO algorithm in global optimisation and FCM algorithm in convergence acceleration, which greatly improves the effectiveness of clustering. Using this methodology, a reliable evaluation index system and a number of training samples from field-measured data of existing old bridges are prerequisites. In addition, the optimal cluster number for training samples can be determined by Xie–Beni validity evaluation index. Subsequently, condition grades and corresponding cluster centres can be determined based on the calculation of cluster centres and membership matrix for training samples. On the above basis, bridge conditions of testing samples can be evaluated based on the fuzzy membership to the cluster centres of condition grades. A case study was carried out to verify the feasibility and effectiveness of the proposed FCM-PSO method. Evaluation results reveal that the proposed method can effectively reduce the influence of subjective factors and will be favourable for condition evaluation of existing RC bridges.

Reliability Evaluation of Processed Oil Supply Chain under Emergency

Chinese petroleum enterprises, as the monopolizing state-owned energy enterprises, are different from others. They are not only responsible for maximizing organizations profits, but also in charge of mobilizing oil resources under emergency which means the supply ability to cope with sudden increasing demand for oil. In the emergency mobilization of processed oil, relevant groups capability to accomplish the goal is directly determined by the reliability of its supply chain. This paper discusses the reliability of processed oil supply chain from the perspective of emergency response. First, it demonstrates a reliability model for the supply chain. Then, on the basis of this model, a reliability evaluation index system is established and the specific calculation method is given. Lastly, the author comes up with some suggestions for enhancing the reliability of processed oil supply chain.

The Life Cycle Reliability Evaluation of Optical Cable

Along with the optical fiber communication technology is widely used in power system, optical cable fault which will lead to failure has become an important factor influencing power grid reliability, but the existing optical cable evaluation index is single, only statistical cable fault conditions operation index, can not fully reflect the actual reliability of cable. This paper tries to construct a whole life cycle based on optical cable statistical reliability evaluation index system, uses the entropy method to evaluate the reliability of the optical cable is more objective, true, to carry out cable reliability research has certain reference significance. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2379

The Research and Application of Masonry Structure Reliability Rating Method Based on Extenics

Aiming at masonry structure housing, establish the structure reliability evaluation index system. Subsidiary factors index dimensionless processing, the traditional matter-element model is analyzed, and based on this, the article puts forward an improved correlation functions, establish correlation function of the correlation factors of the index layer. Consider the weight coefficients of members,gave the extension index,combining analysis of the structural member reliability and extension comprehensive evaluation of the integral structural reliability, establish the masonry structure housing reliability assessment method framework. And prove the feasibility of this method through engineering examples.

The Reliability Research on Water-Sealed Conditions of Underground Water-Sealed Oil Storage Caverns in Guangdong Huizhou, China

Reliability of water-sealed conditions is crucial to the safety of water-sealed oil-storage. With a case study of underground water-sealed oil storage cavern in Huizhou, a reliability evaluation index system of water-sealed conditions is estabilished based on the main factors influencing water-sealed conditions. Also, a zonal evaluation of water-sealed conditions of the cave rock mass ranging from 0m to -70m is made by Fuzzy Analytical Hierarchy Process. Moreover, a three-dimensional numerical seepage model is established to study the seepage laws of the groundwater before and after the cavern excavation, and the water inflow during excavation and operation can be forecasted too. The results prove that the cavern site is suitable for the construction of large-scale underground oil storage caverns for its good water-sealed conditions and high reliability.