Aggregative simulation method for implementing mathematical models for gas transmission systems

Fetisov, Vadim; Nikolaev, A. K.; Lykov, Y. V.

doi:10.1088/1757-899x/327/2/022033

Cited by 14 publications

(4 citation statements)

References 1 publication

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“…Random forest algorithm is a common integrated algorithm, which is combined by a large number of decision trees. The decision tree itself has poor classification accuracy and is a typical representative of weak classifiers [45][46][47]. The integration of weak classifiers together can significantly improve the accuracy of the overall classifier.…”

Section: Improved Random Forest Algorithmmentioning

confidence: 99%

Predicting Service Life of Polyethylene Pipes under Crack Expansion using "Random Forest" Method

Aleksander G.,

Yifan,

Fuming

2023

IJE

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The study of factors influencing the performance of PE pipe against rapid crack expansion is of great significance for the safe use of PE pipe. This paper analyzes the role of each step in the algorithm based on the theoretical basis of random forest, and proposes an improved random forest method based on recursive feature elimination by changing the node splitting rules to address the shortcomings of the random forest classification accuracy. The method is used to analyze the effect of rapid crack expansion of PE pipe in terms of pipe size and wall thickness, impact knife speed, and notched impact strength of simply supported beams. Under the same conditions, the extended crack lengths of DN260, DN150 and DN65 pipes are 197, 164 and 128 mm, respectively, while the crack lengths of PE80 pipes are 24, 210 and 239 mm at impact knife speeds of 10, 15 and 20 m/s, respectively. The higher the notched impact strength of the simple beam, the higher the critical pressure value and the better the RCP resistance. The study of rapid crack expansion of PE pipe based on deep learning algorithm can identify the main internal and external factors affecting the RCP resistance of PE pipe and provide a solid basis for PE pipe life prediction.

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Section: Improved Random Forest Algorithmmentioning

confidence: 99%

Predicting Service Life of Polyethylene Pipes under Crack Expansion using "Random Forest" Method

Aleksander G.,

Yifan,

Fuming

2023

IJE

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“…The design of modern gas transmission systems involves a preliminary analysis of emergency conditions that may arise during the operation of pipelines [1][2][3]. Such an analysis requires the creation of mathematical models of the operation of gas pipelines in the indicated states and the development of appropriate computational procedures that allow predicting the expected characteristics of the gas at any point along the line [4,5]. The forecast obtained in this way makes it possible to form a set of measures that reduce the likelihood of accidents, reduce direct economic losses and environmental damage, and ensure the safety of the gas pipeline during its operation [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Predicting Accident Modes in a Gas Pipeline with Incomplete Parameters

Podvalny

Куцова²,

Vasiljev

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The paper solves the problem of predicting the emergency states of gas pipelines in cases where the initial parameters of the pipeline are not fully known a priori and can change during operation. The coefficient of heat transfer from gas to the external medium and the coefficient of internal viscous friction of hydraulic resistance are considered as such parameters. The theoretical calculation of these coefficients with sufficient accuracy for practice is very difficult due to the significant uncertainty of the actual conditions of heat transfer along the route and the current state of the pipeline. To solve this problem, a mathematical model of a steady gas flow in a pipeline is proposed, which is based on the assumptions about the polytrophic nature of the gas, as well as the non-isentropic and nonadiabatic nature of its flow. Together with the model, a method for identifying undefined coefficients has been developed. The problem of building the corresponding computational procedures with unknown boundary conditions is solved. An analysis of emergency states of a gas pipeline for cases of complete rupture and partial destruction of its wall was carried out by means of numerical modeling. Examples of using the developed model for predicting emergency states of gas pipelines are given.

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“…The lack of air as a heat carrier should be attributed to the low density and heat capacity of the air, which results in zones of local overheating of fuel elements and storage structures. [1][2][3][4][5][6][7][8][9] The influence of temperature fields on the strength of the structure in the system of standard combinations of loads should be taken into account [10]. The computational scheme of the model of a "dry" storage for spent fuel elements is shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Thermal conditions of load-bearing elements of radioactive waste storage facilities

2020

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Facilities for storing radioactive waste with residual heat differ from other facilities in high safety standards in all operating conditions. A feature of these structures is the presence of biological protection in the form of walls and ceilings made of reinforced concrete with a large thickness. The combination of heat dissipation and the large thickness of walls and floors create conditions for the appearance of significant thermal stresses. This feature should be taken into account in the strength calculations of these buildings, taking into account the summation of seismic effects, gravitational forces and thermal stresses caused by uneven temperature fields in concrete. The paper presents the results of calculations of the combined effects of thermal stresses and earthquakes on a building. The data obtained made it possible to determine the features of the deformation of concrete structures with a combination of loads.

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Aggregative simulation method for implementing mathematical models for gas transmission systems

Cited by 14 publications

References 1 publication

Predicting Service Life of Polyethylene Pipes under Crack Expansion using "Random Forest" Method

Predicting Service Life of Polyethylene Pipes under Crack Expansion using "Random Forest" Method

Predicting Accident Modes in a Gas Pipeline with Incomplete Parameters

Thermal conditions of load-bearing elements of radioactive waste storage facilities

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