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Small-scale fire tests in the underwater tunnel section model with new sidewall smoke extraction
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作者 Shunyu Yue Ruifeng Miao +2 位作者 Huihang Cheng Maohua Zhong Xiujun Yang 《Deep Underground Science and Engineering》 2024年第2期247-254,共8页
The Shenzhen–Zhongshan Bridge is a 24‐km‐long bridge and tunnel system,including a 6.8-km-long super cross section subsea tunnel.To solve the smoke exhaust problem of a super large cross-section subsea tunnel,the t... The Shenzhen–Zhongshan Bridge is a 24‐km‐long bridge and tunnel system,including a 6.8-km-long super cross section subsea tunnel.To solve the smoke exhaust problem of a super large cross-section subsea tunnel,the tunnel has a new smoke exhaust system that combines a horizontal smoke exhaust cross section at the top and sidewall smoke exhaust holes.In order to evaluate the potential fire hazards of this type of tunnel,a 1:30 tunnel model was established and 140 smallscale experiments on underwater tunnel fires were conducted.By changing the fire power,fire location,and fan operation mode,different scenarios of submarine immersed tunnel fire were simulated and the related key parameters such as fire smoke diffusion behavior and smoke temperature distribution were studied.On this basis,the optimal smoke control strategy was proposed for different fire scenarios.The research results indicate that the new smoke exhaust system can fully utilize the smoke flow characteristics,significantly improve smoke exhaust efficiency,and increase available evacuation time,thus further enhancing the fire safety of super large cross-section subsea tunnels. 展开更多
关键词 sidewall smoke extraction system small‐scale fire tests smoke control
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A new research of identification strategy based on particle swarm optimization and least square
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作者 Tong ZHANG Yahui WANG +2 位作者 Anli YE Jian WANG Jianchao ZENG 《Frontiers of Electrical and Electronic Engineering in China》 CSCD 2009年第3期313-317,共5页
Within the heat and moisture system that is complex in the air-conditioning rooms of large space building,the existence of delay makes the stability cushion reduced,which thereby makes the estimated parameters more co... Within the heat and moisture system that is complex in the air-conditioning rooms of large space building,the existence of delay makes the stability cushion reduced,which thereby makes the estimated parameters more complex.In this paper,particle swarm optimization(PSO)is integrated with least square(LS)to improve least squares(short for PSOLS).LS,optimized by PSO,identifies the heat and moisture system parameters of the existence of delay in the air-conditioning rooms by sampling input and output data.In view of this delay system,the identification is an effective solution to nonlinear system which LS can not identify directly.The simulation results show that PSOLS is quite effective,and its global optimization has great potential. 展开更多
关键词 least square(LS) particle swarm optimization(PSO) system identification air-conditioning room
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