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BRIGE: A Stochastic Approach to Evaluating Structural Reliability in Fire

BRIGE: A Stochastic Approach to Evaluating Structural Reliability in Fire
BRIGE:评估火灾中结构可靠性的随机方法
批准号:
1032493
负责人:
Ann Jeffers
金额:
$17.36万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2013-05-31

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中文摘要
翻译
这个扩大参与研究启动工程(BRIGE)赠款赠款提供资金的研究,探索使用基于概率的方法来模拟火灾中的结构系统的行为。这项研究的动机是,目前的方法建模结构-火灾相互作用是无法解释的高层次的不确定性,存在的性质的问题。为了克服这一限制,拟议的研究旨在开发一种随机方法来解释关键模型参数的变化,例如火灾温度和高温下材料的强度。该项目的重点是两种方法,是行之有效的室温应用,具体来说,蒙特卡罗方法和随机有限元方法。每种方法的理论基础将被扩展到包括火灾的影响。此外,可靠性理论将用于制定极限状态(或“故障”)标准方面的问题。最终的结果将是一个计算框架,使随机结构火灾模拟,其中不确定性是占在一个合理的方式和结构系统的防火性能可以评估的基础上计算的故障概率。这种结构可靠性的量化是必不可少的决策,因为它允许一个给定的设计的充分性进行评估与confidence.This研究有可能彻底改变的方式,其中建筑火灾被认为是在结构设计。虽然地球仪的研究人员提倡基于性能的结构防火设计,但现实情况是,工程专业没有分析工具来实现设计理念的转变。将开发的新计算框架解决了结构火灾工程界的关键需求,并可导致火灾结构设计的重大改进。改进设计方法必然会带来更大的公共安全和更强大的民用基础设施。与该项目相关的教育,推广和奖学金活动旨在让各种人群参与研究活动,并旨在解决阻碍工程中代表性不足群体进步的核心问题。
英文摘要
This Broadening Participation Research Initiation Grants in Engineering (BRIGE) grant provides funding for research that explores the use of probability-based methods to model the behavior of structural systems in fire. The research is motivated by the fact that current methods for modeling structure-fire interaction are unable to account for the high level of uncertainty that exists in the nature of the problem. To overcome this limitation, the proposed research seeks to develop a stochastic approach to account for variability in key model parameters, such as the fire temperature and the strength of materials at elevated temperatures. The project focuses on two methods that are well-established for room temperature applications, specifically, the Monte Carlo method and the stochastic finite element method. The theoretical foundations for each method will be extended to include the effects of fire. In addition, reliability theory will be used to formulate the problem in terms of limit state (or "failure") criteria. The end result will be a computational framework that enables stochastic structure-fire simulation, in which uncertainty is accounted for in a rational way and the fire performance of the structural system can be evaluated based on a calculated probability of failure. This quantification of structural reliability is essential for decision-making, as it allows the adequacy of a given design to be evaluated with confidence.This research has the potential to revolutionize the way in which building fires are considered in structural design. While researchers across the globe advocate a need for performance-based structural fire design, the reality is that the engineering profession does not have the analytical tools to realize this shift in design philosophy. The new computational framework that will be developed addresses a critical need in the structure-fire engineering community and can lead to significant improvements in the design of structures for fire. Improved methods of design will inherently result in greater public safety and a more robust civil infrastructure. Educational, outreach, and scholarship activities associated with this project seek to engage a variety of populations in research activities and aim to address central issues that are impeding the advancement of underrepresented groups in engineering.
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会议论文
BRITE Relaunch: A Physics-Based Simulation Model for Exploring Community Resilience to Wildfires
CAREER: Traveling Fires -- Do They Really Matter?
国内基金
海外基金
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于梯度增强Stochastic Co-Kriging的CFD非嵌入式不确定性量化方法研究