Seepage Safety Assessment of Concrete Gravity Dam Based on Matter-Element Extension Model and FDA

Wang, Xiaoling; Yu, Hongling; Lv, Peng; Wang, Cheng; Zhang, Jun; Yu, Jia

doi:10.3390/en12030502

Cited by 15 publications

(11 citation statements)

References 55 publications

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“…where N is the name of the thing, C is the feature of the thing, and v is the characteristic value of the feature C, usually expressed as a determined value or numerical interval. When a thing has multiple attributes, the traditional matter element can be expressed as in Equation (1) [56]:…”

Section: Meecm Theorymentioning

confidence: 99%

Operation Health Assessment of Power Market Based on Improved Matter-Element Extension Cloud Model

Dong¹,

Wang²,

Liu³

et al. 2019

Sustainability

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The complex power system and trading environment in China has led to higher requirements for the efficient and stable operation of the electricity market. With the continuous advancement of power system reforms, regular evaluation of the operation of the market can help us grasp its status and trends, which is of great significance for ensuring its sustainable development. In order to effectively evaluate the current operational status of the electricity market, the concept of operation health degree of power market (OHDPM) is proposed to measure whether the operation is safe, efficient, and sustainable. This paper establishes an improved model framework based on the matter-element extension theory for evaluation. In order to effectively avoid information distortion and loss in the evaluation process, this paper combines the cloud model, matter element extension theory, ideal point method (IPM), and cloud entropy optimization algorithm to deal with this problem. The matter-element extension cloud model (MEECM) can clearly represent the characteristics of the object to be evaluated. IPM is used to determine the weight of the index. For the improved matter-element extension model, the traditional rules of “3En” and “50% relevance” are taken into account, and the method of solving the entropy is optimized. Then, for the correlation degree between the object to be evaluated and the graded normal cloud, the weight vector solved by the IPM is used to weigh the cloud correlation degree, which can give a reliable evaluation result. The health evaluation index system of power market operation includes 16 sub-indicators in five categories: supply side, demand side, coordinated operation, market security, and sustainable development. In the empirical analysis, the OHDPM situation in Y Province was evaluated in May 2019. The results prove that the OHDPM level is medium, and the importance and health level of each index are given. The reliability of the power system, transaction price stability, Lerner index, residual proportion of producers, and user satisfaction have a greater impact on the health status. Finally, in order to verify the validity and stability of the model, different methods are used to evaluate the evaluation objects, and the advantages of OHDPM evaluation based on the model framework proposed in this paper are proven.

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Section: Meecm Theorymentioning

confidence: 99%

Operation Health Assessment of Power Market Based on Improved Matter-Element Extension Cloud Model

Dong¹,

Wang²,

Liu³

et al. 2019

Sustainability

View full text Add to dashboard Cite

show abstract

“…Its theoretical background is in matter-element theory and extension set theory. Through the qualitative analysis of a matter-element, combined with the quantitative calculation of a correlation function, it transforms various indexes that influence the object under evalua-tion into a compatible problem; thus, a comprehensive evaluation model [35][36][37][38][39][40][41] that is more in line with objective reality is obtained. The calculation process of the fuzzy matter-element analysis method is as follows:…”

Section: Analytical Hierarchy Process (Ahp)mentioning

confidence: 99%

Evaluation on the Stability of Vertical Mine Shafts below Thick Loose Strata Based on the Comprehensive Weight Method and a Fuzzy Matter-Element Analysis Model

et al. 2019

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Damage to mine shafts located below thick loose aquifers, caused by coal seam mining, can seriously affect the operational safety of mines. In view of such a problem, the comprehensive weight method and the fuzzy matter-element analysis method were used to analyze and evaluate the stability of mine shafts below thick, loose aquifers. Based on data relating to shaft structure parameters collected from fifteen damaged shafts in coal mines in East China, a comprehensive analysis was performed. The results showed that (1) the two indexes of surface subsidence velocity and water level drop value at the bottom of a loose aquifer have a large influence on the stability of shafts below thick loose aquifers, and (2) the predicted results of thirteen sets of samples were the same as the results measured during actual production; the accuracy of the model was 86.67%. The comprehensive weight method and the fuzzy matter-element analysis model both show good reliability for evaluating the stability of mine shafts below thick loose aquifers and can provide a scientific reference for the analysis of the stability of mine shafts in areas with thick loose strata, as well as for the design of comprehensive control plans that could subsequently be implemented.

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“…Previous studies [5][6][7][8][9][10][11] have shown that base deformations caused by the displacement of the structure model under the influence of applied loads when bringing the model to failure can spread to a considerable depth. In this case, the physical and mechanical characteristics of rocks lying below those located directly under the structure can affect the nature of destruction and the magnitude of the breaking load.…”

Section: Introductionmentioning

confidence: 99%

Experimental justification of the stability of the floating unit

et al. 2021

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One of the main tasks arising when installing a floating hydroelectric power unit on a foundation without preliminary excavation is a thorough justification of the shear stability and bearing capacity of the "floating hydroelectric power unit - foundation" system on a complex geological massif. Failure to take into account these factors can lead to serious consequences during the landing of the structure in the target and further operation. It should be emphasized that this problem still includes a number of difficulties and does not always allow obtaining exact solutions in a volumetric setting. Based on the selection of a wide range of model materials, bases of various capacities were modelled for four models. In this case, the shear real characteristics of alluvial soils and their change after reinforcing cementation were taken into account. The studies were carried out on 4 models under static loads with bringing them to destruction. The models reproduced the real geological conditions at the base of the block, simulated deformation, and shear characteristics. Indicator diagrams of displacements, damage patterns, and generalized safety factors for bearing capacity were obtained. Model tests have shown that reinforcing cementation reduces not only the values of horizontal and vertical displacements of structures but also leads to a significant increase in the safety factor.

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Seepage Safety Assessment of Concrete Gravity Dam Based on Matter-Element Extension Model and FDA

Cited by 15 publications

References 55 publications

Operation Health Assessment of Power Market Based on Improved Matter-Element Extension Cloud Model

Operation Health Assessment of Power Market Based on Improved Matter-Element Extension Cloud Model

Evaluation on the Stability of Vertical Mine Shafts below Thick Loose Strata Based on the Comprehensive Weight Method and a Fuzzy Matter-Element Analysis Model

Experimental justification of the stability of the floating unit

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