该数据集基于大型耐火试验炉及现场火灾试验温度采集模块产生，主要记录了发生火灾时钢壳沉管隧道行车孔内温度、RABT温升曲线下管节结构及接头内部温度实时监测数据。\n
海底钢壳沉管隧道管节结构及接头火灾防控集成技术数据集主要包括局部1:1管节结构及接头耐火试验数据，钢壳沉管隧道现场火灾试验温度采集数据。数据包括不同工况下管节结构及接头结构内温度传递规律及相关数据分析。\n
管节结构耐火试验数据：1）时间范围，记录整个RABT标准曲线（3.83h）的试验数据；2）时间精度，每3S记录一个数据；3）空间精度，记录管节结构不同位置处的温度数据；4）计算方式，采用设置好的模块实现自动采集，试验过程展现实时数据。\n
管节接头耐火试验数据：1）时间范围，记录整个试验过程（214min）的试验数据；2）时间精度，每1min记录一个数据；3）空间精度，记录管节接头结构不同位置处的温度数据；4）计算方式，采用设置好的模块实现自动采集，试验过程展现实时数据。\n
现场火灾试验数据：1）时间范围，记录整个试验过程（125min）的试验数据；2）时间精度，每1S记录一个数据；3）空间精度，记录钢壳沉管隧道行车孔不同位置处的温度数据；4）计算方式，采用设置好的模块实现自动采集，试验过程展现实时数据。", "ds_source": "
采用设置好的模块实现自动采集，试验过程展现实时数据。", "ds_process_way": "
实验试验。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2021-01-28 00:00:00", "ds_acq_end_time": "2021-01-28 00:00:00", "ds_acq_place": "", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 16761391, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "92079345-11fb-4ce6-bc15-58c33b184843.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "57a5e5a3-6fc5-43b5-a2ba-1f2ca54b7727", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2023-03-31 22:55:13", "last_updated": "2025-06-30 14:52:36", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB2823.2023", "i18n": { "en": { "title": "Integrated Technical Dataset for Fire Prevention and Control of Subsea Steel Shell Immersed Tube Tunnel Pipe Section Structure and Joints (January 28, 2021)", "ds_format": "excel", "ds_source": "
Implement automatic data collection using pre-set modules, and display real-time data during the experimental process.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
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.\n
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.\n
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.\n
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.\n
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.
", "ds_time_res": "日", "ds_acq_place": "", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Experimental experiments.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "钢壳沉管隧道", "防火保护", "耐火试验" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [], "ds_time_tags": [ 2021 ], "ds_contributors": [ { "true_name": "张琦", "email": "zhangqi@cmhk.com", "work_for": "招商局重庆交通科研设计院有限公司", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "张琦", "email": "zhangqi@cmhk.com", "work_for": "招商局重庆交通科研设计院有限公司", "country": "中国" } ], "ds_managers": [ { "true_name": "张琦", "email": "zhangqi@cmhk.com", "work_for": "招商局重庆交通科研设计院有限公司", "country": "中国" } ], "category": "其他" }