scholarly journals Development and Application of Ancient Timber Buildings Structural Condition Assessment Model Based on a Fuzzy Matter-Element Model that Includes Asymmetric Proximity

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Zhongwei Gao ◽  
Donghui Ma ◽  
Wei Wang ◽  
Xiaodong Guo ◽  
Qingzi Ge
Keyword(s):  
Bearing Capacity ◽  
Crack Depth ◽  
Element Model ◽  
Structural Condition ◽  
Assessment Method ◽  
Assessment Model ◽  
Clustering Methods ◽  
Foundation Soil ◽  
Matter Element Model ◽  
Asymmetric Proximity

To properly protect ancient buildings, it is vitally important to determine the health status of these structures in a timely manner. To easily, quickly, reliably, and quantitatively assess the structure health of ancient timber buildings, this paper proposes a structure health assessment method based on fuzzy matter-element theory improved by asymmetric proximity, and the specific assessment steps are given. First, a fuzzy matter-element model is constructed; then, to effectively solve the failure problem of the maximum membership principle, the fuzzy matter-element assessment model is improved by using the theory of asymmetric proximity. The weights determined by the entropy weight and clustering methods are then combined through the game theory combination weighting concept and, finally, the structural condition of the ancient timber buildings is classified into five grades: I favorable, II ordinary, III poor, IV inferior, and V dangerous. Ten evaluation factors were chosen: bearing capacity of the foundation soil, subbase deformation, foundation damage, column and foundation connection, bearing capacity of members, connection construction, member deformation, crack slope, crack depth, and decayed/insect attacked. Taking a building built in the Republican Period in Sino-Ocean Taikoo Li, Chengdu, as an example, this model was used to assess the building’s structural condition. The results show that this method is feasible to quantitatively assess the structural condition of ancient timber buildings. It is a simple and practical assessment method that can provide a decision-making basis for maintenance, protection, and reinforcement of ancient timber buildings.

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

2013 ◽  
Vol 291-294 ◽  
pp. 1029-1038
Author(s):  
Ming Liu ◽  
Bao Feng Song ◽  
Daniel Dias ◽  
Jing Pan
Keyword(s):  
Structural Reliability ◽  
Comprehensive Evaluation ◽  
Element Model ◽  
Assessment Method ◽  
Masonry Structure ◽  
Evaluation Index System ◽  
Structure Reliability ◽  
Rating Method ◽  
Matter Element Model ◽  
Correlation Factors

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.

Environmental Impact Analysis of Water Environment in Coal Mining Areas Based on Matter-Element Model

2010 ◽  
Vol 108-111 ◽  
pp. 403-408 ◽  
Author(s):  
Qi Liang Wang ◽  
Lei Wang
Keyword(s):  
Coal Mining ◽  
Large Scale ◽  
Impact Analysis ◽  
Water Environment ◽  
Element Model ◽  
Evaluation Index System ◽  
Assessment Model ◽  
Environment Impact ◽  
Mining Areas ◽  
Matter Element Model

In connection with the problems that coal mining accounts for water environment pollution and socio-economic development, the main factors was analyzed. From water environment system, ecological system and socio-economic system, corresponding evaluation index system was perfected and became fit for factual situation. Matter-element model of water environment impact evaluation was constructed and used to evaluate four large-scale coal mining areas. The results showed that assessment model in accordance with the objective reality. Compared with other evaluation models, matter-element model is more accurate and comprehensive. By matlab, a calculating program was made and can be dynamically amended.

scholarly journals Applying adaptive learning by integrating semantic and machine learning in proposing student assessment model

2022 ◽  
Vol 12 (2) ◽  
pp. 2014
Author(s):  
Kamilia Hosny ◽  
Abeer El-korany
Keyword(s):  
Machine Learning ◽  
Learning Styles ◽  
Learning Style ◽  
Adaptive Learning ◽  
Student Assessment ◽  
Assessment Method ◽  
Assessment Model ◽  
Clustering Methods ◽  
Proposed Model ◽  
Data Driven Approach

<p>Adaptive learning is one of the most widely used data driven approach to teaching and it received an increasing attention over the last decade. It aims to meet the student’s characteristics by tailoring learning courses materials and assessment methods. In order to determine the student’s characteristics, we need to detect their learning styles according to visual, auditory or kinaesthetic (VAK) learning style. In this research, an integrated model that utilizes both semantic and machine learning clustering methods is developed in order to cluster students to detect their learning styles and recommend suitable assessment method(s) accordingly. In order to measure the effectiveness of the proposed model, a set of experiments were conducted on real dataset (Open University Learning Analytics Dataset). Experiments showed that the proposed model is able to cluster students according to their different learning activities with an accuracy that exceeds 95% and predict their relative assessment method(s) with an average accuracy equals to 93%.</p>

scholarly journals Site selection of LNG terminal based on cloud matter element model and principal component analysis

2019 ◽  
Vol 272 ◽  
pp. 01027
Author(s):  
Gaolei Liu ◽  
Ran Dai ◽  
Feng Zhang ◽  
Yanpeng Zhao ◽  
Chaoyue Zhang ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Element Model ◽  
Condition Assessment ◽  
Assessment Method ◽  
Comprehensive Assessment ◽  
Weighting Method ◽  
Matter Element Model ◽  
Terminal Site ◽  
Element Theory

With the development of liquefied natural gas(LNG) port, as one of the crucial LNG port sitting process, the LNG terminal site’s condition assessment method has always received attention from experts, scholars concern more and more about the method’s practicality and reliability. In the traditional condition assessment method, due to the characteristics of the complex and extensive factors in the comprehensive assessment of the LNG terminal site, the assessment system is not comprehensive enough, or the assessment is too complex, the indexes are not easy to quantify, such problems are emerging. In view of the above reasons, the principal component analysis(PCA) method is used to transform the multi-indicators that affect the comparison of terminal sites into a few comprehensive indicators. A comprehensive evaluation model of the LNG terminal site based on cloud matter element theory and subjective and objective comprehensive weighting method was constructed. By the subjective and objective comprehensive weighting method, the comprehensive weight of each index is determined and the LNG terminal site comprehensive assessment standard cloud element model is constructed with the combination of cloud model and matter-element theory. The cloud matter-element correlation function is established to determine the degree of association between the matter element to be evaluated and the standard cloud matter element model. In order to eliminate random errors and improve the credibility of the results, the algorithm is used for multiple calculations and analysis to achieve the purpose of simultaneously giving the evaluation results and coefficients of credible degree. Finally, the reliability and rationality of the method are verified by an example.

scholarly journals Research on Security Risk Assessment Mechanism of Important Event Based on Multi-Source Data

2021 ◽  
Author(s):  
Qilei Wang
Keyword(s):  
Risk Assessment ◽  
Element Model ◽  
Assessment System ◽  
Assessment Model ◽  
Qualitative Description ◽  
Security Risk ◽  
Site Factors ◽  
Source Data ◽  
Risk Grade ◽  
Matter Element Model

Abstract In order to effectively assess all types of security risks in the important event, the important decision-making basis for security risk warning and emergency management of important event is provided by analyzing the coupling relationship and evolution mechanism between various risks. The criminal causes, management defects, security and emergency system construction are analyzed from the possibility of accidents and risks. The multi-source data risk assessment system based on five subsystems and its index set of human factors, management factors, site factors, event factors and audit factors are proposed. The weight of each index in the assessment system is determined by the method of information entropy, and then the risk grade of important event is determined according to the weight calculation function and the improved fuzzy matter element model. The verification with an example shows that: the risk assessment model is optimized by combining entropy weight with fuzzy matter-element model，the influence of weight data extreme value was weakened，the qualitative description and quantitative analysis of multi-source data could be combined，and the subjective error was reduced. The risk grade of important event is reasonably evaluated, and the assessment effect is basically consistent with the expert inspection analysis, which shows that the method had certain application value.

Passive Cooling of Permafrost Foundation Soils Using Porous Embankment Structures

2000 ◽  
Author(s):  
Douglas J. Goering
Keyword(s):  
Land Surface ◽  
Thermal Characteristics ◽  
Ground Surface ◽  
Element Model ◽  
Passive Cooling ◽  
Frozen Ground ◽  
Foundation Soil ◽  
Dimensional Finite Element ◽  
Permafrost Thawing ◽  
Surface Construction

Abstract Permafrost (permanently frozen ground) underlies approximately 25% of the world’s land surface. Construction of surface facilities in these regions presents unique engineering challenges due to the alteration of the thermal regime at the ground surface. Even moderate disturbance of the pre-existing ground surface energy balance can induce permafrost thawing with consequent settlement and damage to buildings, roadways, or other man-made infrastructure. The present work examines the thermal characteristics of embankments constructed of unconventional, highly porous materials. Using these materials, a passive cooling effect can be achieved due to the unstable density stratification and resulting natural convection that occur during winter months. The convection enhances transport of heat out of the embankment, thus cooling the lower portions of the embankment and underlying foundation soil and preserving the permafrost layer. Numerical results obtained with an unsteady two-dimensional finite element model are compared to experimental measurements taken in full-scale field installations for the cases of open and closed (impermeable) side-slope boundary conditions.

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