Thermally Stressed State of Headers and Steam Pipelines in the Flowpath of Combined-Cycle Power Plants during Their Heating with Condensed Steam

Radin, Yu. A.; Конторович, Т. С.

doi:10.1134/s004060152101016x

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“…Hussain et al [18] took objective reasons such as data collection errors and pipeline path changes into consideration and analyzed the differences in data sources, accuracy, models, and semantics, and they determined the types and levels of pipeline data matching based on the distribution characteristics of urban underground pipelines. Radin and Kontorovich [19] optimized the quantitative description of the spatial similarity of urban underground pipeline data from three aspects of semantics, geometrics, and topological relationships, then, combining with actual cases, they developed an urban underground pipeline data matching prototype system and gave the flow of the algorithm.…”

Section: Introductionmentioning

confidence: 99%

Thermal Stress Analysis and Spatial Data Matching of Urban Underground Pipelines

Liang¹,

Hu²,

Jiang³

et al. 2021

IJHT

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The mining of thermal data of underground pipelines is very important for the construction of urban underground pipeline network data matching model and the proposal of large-scale pipeline spatial data matching mechanism. The existing temperature field calculation and stress field simulation methods for thermal pipelines are quite mature already, but they generally pay less attention to the overall connection features of the underground pipeline network and the local details of network nodes, and the deep-level sharing and utilization of the thermal stress data of pipelines is insufficient during the process of spatial data matching of the pipeline network. To this end, this paper conducted a research on thermal stress analysis and spatial data matching of urban underground pipelines. First, the paper gave a theoretical analysis on the temperature field and stress field of underground pipelines and obtained the simulation calculation results; then it elaborated on the calculation of the similarity of underground pipeline network information, proposed a method for spatial data matching, and gave the corresponding algorithm flow; at last, experimental results verified the reliability of the simulation calculation results of the thermal stress of underground pipelines and the effectiveness of the proposed spatial data matching method.

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Section: Introductionmentioning

confidence: 99%