scholarly journals Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncertainty Measurement and Entropy Theory

2021 ◽  
Vol 2021 ◽  
pp. 1-10 ◽  
Author(s):  
Jue Li ◽  
Hui Wei ◽  
Yongsheng Yao ◽  
Xin Hu ◽  
Lei Wang
Keyword(s):  
Performance Evaluation ◽  
Evaluation Index ◽  
Pavement Performance ◽  
Entropy Theory ◽  
Minimum Entropy ◽  
Uncertainty Measurement ◽  
Measurement Function ◽  
Performance Evaluation Index ◽  
Index Weight ◽  
The Impact

In view of the deficiency that traditional pavement performance evaluation index did not consider the influence of their difference on weight, the grade of the evaluation index also did not take into account intermediate state and the impact of uncertainty on the evaluation results, a determination method of pavement performance evaluation index weight based on entropy theory was developed. The unascertained measurement function of evaluation index was performed by left-half ladder distribution, and unascertained measurement matrix was obtained. The index weight was calculated by minimum entropy theory, and the practicability of this method was verified through a concrete example finally. The results show that there were different weights in different samples, which depended on index measurement function and were the overall characterization of comprehensive measurement of every index. The method which is based on the given weighting factor did not conform to the engineering facts. It was difficult to identify the importance of the pavement performance evaluation index in different samples. The balance of the various indexes is better to be considered in the proposed method, and the comprehensive situation of pavement performance is really reflected, which improves the evaluation of the reliability.

scholarly journals Cement pavement performance evaluation based on the discrete Hopfield neural network

2019 ◽  
Vol 136 ◽  
pp. 04069
Author(s):  
Huan Liu ◽  
Peng Liu ◽  
Qiuyu Peng
Keyword(s):  
Neural Network ◽  
Performance Evaluation ◽  
Evaluation Method ◽  
Functional Performance ◽  
Hopfield Neural Network ◽  
Evaluation Index ◽  
Pavement Performance ◽  
Index Matrix ◽  
Performance Evaluation Index ◽  
Grading Standards

Because of the deficiency of the index of cement pavement performance evaluation and the defect of the evaluation method in the specification, the performance of the pavement is comprehensively evaluated by seven optimized indexes and grading standards that reflect functional performance and structure of the pavement. Because the discrete Hopfield neural network is available with simple construction procedure, less training samples, and strong objectivity.The DHNN is constructed by MATLAB to evaluate the performance of test pavement. The ideal cement pavement performance grading evaluation index matrix and 6 places unclassified of test pavement performance evaluation index matrix are input to the neural network then the evaluation result is obtained after simulating and learning. Finally, comparing the result of the DHNN with the fuzzy complex matter element method and the nonlinear fuzzy method, it is proved that the discrete Hopfield neural network evaluation method is reliable.

Analysis on the Impact of the Error Mapping for Structural Parameters of Parallel Machine Tool

2011 ◽  
Vol 188 ◽  
pp. 515-520 ◽  
Author(s):  
Yong Geng Wei ◽  
Zhong Xian Wang
Keyword(s):  
Performance Evaluation ◽  
Machine Tool ◽  
Attitude Change ◽  
Structural Parameters ◽  
Parallel Machine ◽  
Evaluation Index ◽  
Performance Evaluation Index ◽  
Moving Platform ◽  
Parallel Machine Tool ◽  
The Impact

In order to improve the 6-DOF parallel machine tool motion accuracy and reduce error, the impact of the error mapping for Structural Parameters of Parallel Machine Tool is analyzed. The fixing platform and the moving platform of 6-DOF PMT are linked by six variable-length rod with the kinematic pair (hooke hinge or hooke hinge). By changing the length of the drive rod, causing moving platform position and attitude change, a variety of motion can be simulated and emulated. If the cut tool is installed on the moving platform, the various surface parts can be machined, shown in Figure 1. The above figure shown, in order to obtain the moving platform trajectory, we need measure hooke hinge space position of the fixing platform and the moving platform[1]. There are 6 hooke hinges on the fixing platform and there are 3 parameters (x, y, z) on every hooke hinge. There are 6 hooke hinges on the moving platform and there are 3 parameters (x, y, z) on every hooke hinge. So a total of 12 hooke hinges positions (36 parameters) need be measured. Due to the actual processing, assembly and measurement error, the actual measured values and theoretical values for 36 parameters can not be a complete match and lead to the moving platform errors. This paper will study the 36 parameters on the impact of mapping errors. Firstly, the error mapping formula between drive rod and the moving platform for PMT is established, secondly the performance evaluation index of the error mapping is deducted, and then the relationship between 36 parameters and the error mapping index is established. At last, to the different types of PMT structures and structural parameters, the ideal structural parameters with the aid of the performance evaluation index are optimized.

scholarly journals Scheduling Performance Evaluation of Logistics Service Supply Chain Based on the Dynamic Index Weight

2014 ◽  
Vol 2014 ◽  
pp. 1-14
Author(s):  
Weihua Liu ◽  
Zhicheng Liang ◽  
Shuqing Wang ◽  
Yang Liu ◽  
Wenchen Xie
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Evaluation Method ◽  
Evaluation Index ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Dynamic Index ◽  
Performance Evaluation Index ◽  
Performance Evaluation Method ◽  
Index Weight

Scheduling is crucial to the operation of logistics service supply chain (LSSC), so scientific performance evaluation method is required to evaluate the scheduling performance. Different from general project performance evaluation, scheduling activities are usually continuous and multiperiod. Therefore, the weight of scheduling performance evaluation index is not unchanged, but dynamically varied. In this paper, the factors that influence the scheduling performance are analyzed in three levels which are strategic environment, operating process, and scheduling results. Based on these three levels, the scheduling performance evaluation index system of LSSC is established. In all, a new performance evaluation method proposed based on dynamic index weight will have three innovation points. Firstly, a multiphase dynamic interaction method is introduced to improve the quality of quantification. Secondly, due to the large quantity of second-level indexes and the requirements of dynamic weight adjustment, the maximum attribute deviation method is introduced to determine weight of second-level indexes, which can remove the uncertainty of subjective factors. Thirdly, an adjustment coefficient method based on set-valued statistics is introduced to determine the first-level indexes weight. In the end, an application example from a logistics company in China is given to illustrate the effectiveness of the proposed method.

Analysis of Performance Evaluation Index for bridge group networking monitoring and collaborative supervision

2021 ◽  
Author(s):  
Liye Zhang ◽  
Yong He ◽  
Shoushan Cheng ◽  
Guoliang Wang ◽  
Hongwei Ren ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Evaluation Method ◽  
Field Testing ◽  
Technical Condition ◽  
Evaluation Index ◽  
Technical Problems ◽  
Condition Evaluation ◽  
Bridge Group ◽  
Performance Evaluation Index ◽  
And Performance

<p>With the number of bridges increases, the bridge health monitoring (BHM) technique is developing from single bridge monitoring to collaborative supervision of bridge group. Therefore, there are many technical problems need to be solved especially the performance evaluation index for bridge group network. This paper analyses the performance evaluation index of the bridges and bridge group network, establishes the performance evaluation index for bridge group based on rating factor (RF) and technical condition evaluation index. Based on bridge field testing and monitoring data, bridge technical condition evaluation index and performance evaluation method for bridge group are proposed. A case study demonstrates that the research results provide support for bridge group networking monitoring and collaborative supervision.</p>

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