Showing 6,441 - 6,460 results of 7,701 for search '"Beijing"', query time: 0.09s Refine Results
  1. 6441
  2. 6442
  3. 6443
  4. 6444

    Analysis of Deep Foundation Pit Pile-Anchor Supporting System Based on FLAC3D by Yongshuai Sun, Zhiming Li

    Published 2022-01-01
    “…Relying on a deep foundation pit project in Beijing, using FLAC3D three-dimensional finite-difference software simulation combined with displacement monitoring data verification method, the deep foundation pit excavation and three-pile and two-anchor rod support system in anhydrous sand pebble stratum are systematically analyzed, and summed up the variation law of formation stress, internal force of soil nail, axial force of bolt, stress and displacement of pile in the process of excavation and support of deep foundation pit. …”
    Get full text
    Article
  5. 6445
  6. 6446
  7. 6447

    Road Rescue Demand Prediction for the Improvement of Traffic System Resilience by Zhenzhen Yang

    Published 2023-01-01
    “…When the influencing factors are known, the submodel corresponding to the most important influencing factor is selected to predict the road rescue demand. A case study in Beijing is used to verify the effectiveness and superiority of the proposed models, which can effectively predict the road rescue demand under various conditions, including the normal condition, the Spring Festival, National Day, the three-day holiday (e.g., Qingming, May Day, the Dragon Boat Festival, the Mid-Autumn Festival, and New Year’s Day,), and extreme weather (e.g., low temperature, high temperature, heavy snow, heavy rain, and rainstorm). …”
    Get full text
    Article
  8. 6448
  9. 6449
  10. 6450
  11. 6451
  12. 6452

    A Novel Carbon Price Fluctuation Trend Prediction Method Based on Complex Network and Classification Algorithm by Hua Xu, Minggang Wang

    Published 2021-01-01
    “…., Guangdong, Chongqing, Tianjin, and Shenzhen) has improved slightly, but the prediction accuracy of the carbon price trend in Beijing, Shanghai, and Hubei has not improved. We analyze the reasons leading to this result and offer suggestions to improve China’s pilot carbon market.…”
    Get full text
    Article
  13. 6453

    Prediction of Metro Train-Induced Tunnel Vibrations Using Machine Learning Method by Zhuosheng Xu, Meng Ma, Zikai Zhou, Xintong Xie, Haoxiang Xie, Bolong Jiang, Zhongshuai Zhang

    Published 2022-01-01
    “…To acquire model training samples, the measurements were performed in 80 different running tunnel sections of Beijing metro lines. Two types of method, back propagation neural network (BPNN) and generalised regression neural network (GRNN) were employed, which can make full use of characteristics of measured samples and reduce the data noise. …”
    Get full text
    Article
  14. 6454

    Evolutionary Game Model of Civil Aviation and High-Speed Rail Interaction Strategies Based on the Passenger Ticket and Carbon Trading Prices by Bo Sun, Zehui Xu, Ming Wei

    Published 2023-01-01
    “…Finally, the simulation of a case study on the Beijing–Shanghai corridor was conducted to validate the proposed model’s feasibility. …”
    Get full text
    Article
  15. 6455
  16. 6456
  17. 6457
  18. 6458

    Emergency Resource Location and Allocation in Traffic Contingency Plan for Sports Mega-Event by Ling Shen, Jian Lu, Ling Deng, Manman Li

    Published 2021-01-01
    “…The application of the model and algorithms is validated by the case based on 2022 Beijing Winter Olympics. Sensitivity analysis of some important parameters is also conducted to provide insights for traffic emergency resources management in sports mega-event.…”
    Get full text
    Article
  19. 6459
  20. 6460

    A Methodology for Calculating Greenhouse Effect of Aircraft Cruise Using Genetic Algorithm-Optimized Wavelet Neural Network by Yong Tian, Lina Ma, Songtao Yang, Qian Wang

    Published 2020-01-01
    “…Numerical examples are illustrated using 9 flights from Beijing Capital International Airport to Shanghai Hongqiao International Airport operated by Boeing 737–800 aircraft on October 2, 2019, and the generated fuel consumption, CO2 and NOx emissions as well as temperature change for different time horizons can be effectively given through the proposed methodology, which helps in the environmental performance evaluation and future trajectory planning for aircraft cruise.…”
    Get full text
    Article