TY  - Data
T1  - Technical data set of fire smoke exhaust for super large section immersed tunnel under saturated traffic (November 2017 December 2019)
A1  - None
DO  - 10.12072/ncdc.nieer.db2824.2024
PY  - 2023
DA  - 2023-03-31
PB  - National Cryosphere Desert Data Center
AB  - & emsp; Based on the fire smoke exhaust test data of super large section immersed tunnel fire test platform. The data set covers the large scale test data of fire smoke exhaust under different smoke exhaust modes, different fire scales, different fire source locations, different longitudinal wind speeds and other test conditions of super large section immersed tunnel. Each data sample matches the fire temperature field, smoke field and other data information of key monitoring points with the time axis and space axis under the fire condition of immersed tunnel.& emsp; The technical data set of fire smoke exhaust of super large section immersed tunnel under saturated traffic mainly includes the numerical simulation calculation data of fire smoke exhaust of super large section immersed tunnel, the 1:15 fire model test temperature collection data, and the 1:1.2 large scale physical fire test data. The data includes the distribution of smoke field and temperature field under different working conditions and the analysis of relevant data.& emsp; Numerical simulation calculation data of fire smoke exhaust: 1) within the time range, each working condition is calculated as 1000s from the fire development, and the test data of the whole calculation process is recorded; 2) Time accuracy: record one data every 2 seconds; 3) Spatial accuracy, recording temperature, CO concentration, visibility and other data at different locations in the tunnel; 4) The calculation method adopts the set module to realize automatic collection, and the calculation process shows real-time data.& emsp; 1: 15 Fire test data: 1) Time range, recording the test data of each test condition from the fire development to the fire source extinction; 2) Time accuracy: record one data every 10s; 3) Spatial accuracy, recording temperature data, smoke field data and wind speed distribution at different locations in the tunnel; 4) The calculation method adopts the set module to realize automatic collection, and th
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/321c4729-fcb8-4d46-975f-c37229179e79
ER  -