Results 21 to 30 of about 22,474 (190)
Design of D 1 422 mm×1 219 mm tee in China-Russia Eastern Gas Pipeline station
You-qi chuyun, 2020 To address the design difficulty of 1 422 mm×1 219 mm tee used at stations along China–Russia Eastern Gas Pipeline under low temperature condition, the domestic and foreign pipe fitting standards were compared, and similar projects were investigated.
Zeguang YOU +3 more
openaire +3 more sources
Recheck on reliability of Heihe-Changling Section of China-Russia Eastern Gas Pipeline
You-qi chuyun, 2020 In the reliability assessment of the Heihe-Changling Section of China-Russia Eastern Gas Pipeline at the preliminarydesign stage, the basic data of the pipeline sourced from trial-produced steel pipes, while the girth weld data referenced thewelding process adaptability assessment results and previous engineering statistical data.
Qingmei JIANG +2 more
openaire +3 more sources
Girth welding technology used in Heihe-Changling Section of China-Russia Eastern Gas Pipeline
You-qi chuyun, 2020 This paper describes the girth welding technology for the north section (Heihe-Changling Section) of China-Russia Eastern Gas Pipeline concerning its characteristics of high steel grade, large diameter, high pressure, large throughput and low temperature.
Yongli SUI, Pengyu WANG
openaire +3 more sources
Digital handover of China-Russia Eastern Gas Pipeline and docking with integrity management system
You-qi chuyun, 2020 To achieve the construction goal of "full digital handover, full intelligent operation and full life cycle management" of the China-Russia Eastern Gas Pipeline Project, the basic process and working mechanism of digital handover were proposed, and the significance to pipeline construction and operation management was pointed out.
Xinwei OU +4 more
openaire +3 more sources
You-qi chuyun, 2020 Heilongjiang crossing section in the dominant engineering project of the transit section of China-Russia Eastern Gas Pipeline crosses the border between China and Russia. Its longitudinal submerged arc welded (LSAW) pipes and induction bends are supplied by Russia, but according to the negotiation results of two sides, the key pipe performance ...
Qingmei JIANG +3 more
openaire +3 more sources
You-qi chuyun, 2022 Yangtze River shield tunnel is an important control project of China-Russia Eastern Gas Pipeline Project (Yongqing-Shanghai). The ultra-length tunnel (10.226 km) caused many engineering problems. In particular, the high sensitivity of pipeline stress to the transportation temperature and the large axial displacement of the pipeline at the shaft bring ...
Shengwen ZHAN +6 more
openaire +3 more sources
You-qi chuyun, 2020 This work developed technical insights into the maintenance of integrity, safety and sustainability of the newly operated China-Russia Eastern Gas Pipeline, and beyond. The adverse effect of ground movement in permafrost and semi-permafrost regions, typically frost heave and thaw settlement, on the pipeline structural integrity was analyzed.
Frank CHENG
openaire +3 more sources
You-qi chuyun, 2020 To address the fracture control problem of X80 unequal-diameter tee used in China-Russia Eastern Gas Pipeline under low temperature environment (－45 ℃), the finite element model for X80 unequal-diameter tee with defects was built taking into consideration the influence of wall thickness effect and structural stress concentration of the tee.
Zeguang YOU +3 more
openaire +3 more sources
You-qi chuyun, 2020 In order to ensure the pass-through of the full-automatic welding machine and realize the full-automatic continuous welding operation, the continuous cold bending pipe was adopted to replace the hot bending pipe to achieve an equivalent turning result.
Yuqing LIU, Yuliang WU, Zhenyong ZHANG
openaire +3 more sources
Machine Learning-Based Geospatial Risk Modeling of Global Avian Influenza Outbreaks. [PDF]
Transbound Emerg DisThe rapid spread of H5N1 avian influenza poses a global threat, highlighting the need for robust spatiotemporal risk assessment. In this study, we developed a global modeling framework integrating machine learning (ML) models and geospatial analysis to characterize H5N1 outbreak risk under varying environmental, ecological, and anthropogenic conditions.
Jindal M, Lim S, MacIntyre CR.
europepmc +2 more sources