This dataset is generated based on a large-scale fire-resistant test furnace and a temperature acquisition module for on-site fire tests. It mainly records real-time monitoring data of the temperature inside the driving hole of the steel shell immersed tube tunnel during a fire, as well as the temperature inside the pipe section structure and joints under the RABT temperature rise curve.

    The integrated technology dataset for fire prevention and control of pipe section structures and joints in submarine steel shell immersed tube tunnels mainly includes local 1:1 pipe section structure and joint fire resistance test data, as well as on-site fire test temperature collection data for steel shell immersed tube tunnels. The data includes the temperature transfer laws and related data analysis within the pipe joint structure and joint structure under different working conditions.

    Fire resistance test data of pipe section structure: 1) Time range, record the test data of the entire RABT standard curve (3.83h); 2) Time accuracy, recording data every 3 seconds; 3) Spatial accuracy, recording temperature data at different positions of the pipe joint structure; 4) The calculation method adopts pre-set modules to achieve automatic collection, and the experimental process displays real-time data.

    Fire resistance test data for pipe joint: 1) Time range, record the test data for the entire test process (214 minutes); 2) Time accuracy, recording data every 1 minute; 3) Spatial accuracy, recording temperature data at different positions of the pipe joint structure; 4) The calculation method adopts pre-set modules to achieve automatic collection, and the experimental process displays real-time data.

    On site fire test data: 1) Time range, record the test data of the entire test process (125 minutes); 2) Time accuracy, recording one data every 1 second; 3) Spatial accuracy, recording temperature data at different positions of the steel shell immersed tube tunnel driving hole; 4) The calculation method adopts pre-set modules to achieve automatic collection, and the experimental process displays real-time data.