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The State-of-the-art –Analytical, Experimental and Numerical Technologies for Fire Smoke Control Designs and Analysis in Large Structures of Built Environment
Date: 2017-10-27   Author: SKLFS   Source: SKLFS   Keywords:
 

 

Title:The State-of-the-art –Analytical, Experimental and Numerical Technologies for Fire Smoke Control Designs and Analysis in Large Structures of Built Environment 

Speaker:Assoc.Prof. Stanislav I. Stoliarov (马里兰大学) 

From:Concordia University

Date:Nov.01,2017  15:00

 

CV of the Speaker 
王良柱博士现为加拿大康考迪亚大学(Concordia University)副教授,博士生导师,建筑流体及热能研究主席。2007年获得美国普度大学机械工程博士学位,2009年到2012年任美国国家标准与技术研究院(NIST)建筑火灾实验室博士后研究员,建筑流体空气品质模拟软件CONTAM的开发者之一。王良柱博士长期从事建筑防火安全和建筑热流体方面的研究。现已发表48篇国际期刊论文, 以及42篇国际会议论文。他是SCI期刊Energy and Building编委,Wind Engineering and Industrial Aerodynamics, Building and Environment、Indoor Air, HVAC&R Research,Building Simulation等SCI国际期刊及若干国际会议论文的评审人。他是美国暖通空调制冷工程师协会(ASHRAE)会员和ASHRAE建筑火灾通风委员会委员。2008年获美国国家标准与技术研究院(NIST)优秀研究员奖。2013年获得建筑环境国际权威期刊Building and Environment最佳论文奖。2015年获第十届亚太火灾科学与技术国际会议最佳展示奖。2009年和2013年被Building and Environment 期刊评选为优秀审稿人。2012年和2013年被Energy and Building 期刊评选优秀审稿人。


Abstract

Modern large structures of built environment, including high-rise buildings and long road tunnels etc. are with complicated internal structures and environmental control systems. With the increasing numbers of high-rise buildings and road tunnels across the world, particularly in China, their fire protection and smoke controls are becoming more challenging nowadays. The problem is more complicated by the requirements from performance-based designs and/or the increasing needs of energy saving and renovations that may often interfere with fire safety concerns. Within these contexts, this presentation reports the most recent research developments from our group on the new analytical, experimental and numerical simulation techniques aiming to tackle these challenges with a focus on high-rise buildings and long road tunnels. We will also introduce a new technique of using the numerical weather forecasting model of Ensemble Kalman Filter to forecast fire smoke dispersion by combining the measurement data from multiple sensors in multi-room compartments with numerical simulation data for real-time fire protection.

 

 
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