Multi-information fusion model for fire damage of reinforced concrete beam

WEI Guohai; LIU Caiwei; CAO Yongsheng; LIU Chaofeng; ZHANG Tianliang; XIU Yang

doi:10.11835/j.issn.2096-6717.2021.065

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Multi-information fusion model for fire damage of reinforced concrete beam

Civil Engineering | 更新时间：2022-11-07

- Multi-information fusion model for fire damage of reinforced concrete beam
- Journal of Civil and Environmental Engineering Vol. 44, Issue 6, Pages: 153-161(2022)
- 作者机构：
  
  1.青岛理工大学土木工程学院，山东青岛 266033
  2.河北工业大学土木与交通学院，天津 300401
- 作者简介：
  
  brief:WEI Guohai (1997- ), main research interest: fire resistance of engineering structures, E-mail: 884970385@qq.com.
  LIU Caiwei （corresponding author）， associate professor， E-mail： 03150053@163.com.
- 基金信息：
  
  National Natural Science Foundation of China(51608289);China Postdoctoral Foundation(2018M632640);Shandong Post-doctoral Innovation Project(2019057);Postdoctoral Applied Research Grant Project of Qingdao(2018103)
- DOI：10.11835/j.issn.2096-6717.2021.065
  CLC： TU375.1
- Received：20 November 2020，
  
  Published：30 December 2022
- 稿件说明：
移动端阅览
魏国海,刘才玮,曹永升等.钢筋混凝土梁火灾损伤的多元信息融合模型[J].土木与环境工程学报,2022,44(06):153-161.

WEI Guohai,LIU Caiwei,CAO Yongsheng,et al.Multi-information fusion model for fire damage of reinforced concrete beam[J].Journal of Civil and Environmental Engineering,2022,44(06):153-161.
魏国海,刘才玮,曹永升等.钢筋混凝土梁火灾损伤的多元信息融合模型[J].土木与环境工程学报,2022,44(06):153-161. DOI： 10.11835/j.issn.2096-6717.2021.065.

WEI Guohai,LIU Caiwei,CAO Yongsheng,et al.Multi-information fusion model for fire damage of reinforced concrete beam[J].Journal of Civil and Environmental Engineering,2022,44(06):153-161. DOI： 10.11835/j.issn.2096-6717.2021.065.

摘要

为全面准确地评估钢筋混凝土梁的火灾损伤状态，结合火灾试验和数值仿真多元信息，提出钢筋混凝土梁（RC梁）火灾损伤综合评估的MTOPSIS-GRA模型。通过10根T形梁的火灾高温试验、振动测试和静载试验，获取其热力学特性衰变等信息，并与ANSYS数值仿真计算结果对比；构建一套由灾后表观特征、表面最高温度、持续受火时间、承载力折减、刚度折减、基频折减等组成的RC梁火灾损伤评估指标体系，初步确定评估指标体系的量化分级标准，以组合形式优化层次分析法和熵权法确定的指标权重，引入改进的接近理想解法（modified technique for order preference by similarity to ideal solution，MTOPSIS）与灰色关联度分析（grey relational analysis，GRA），建立RC梁火灾损伤综合评估的MTOPSIS-GRA模型；最后，将该方法应用于火灾后RC梁损伤评估，并与火灾后建筑结构鉴定标准方法、试验实际情况进行对比分析。结果表明，该方法评估结果与标准评估结果基本一致，但能够较全面准确地评估结构损伤状态。

Abstract

In order to comprehensively and accurately evaluate reinforced-concrete-beam fire-damage state

with combination of various information from fire hazard tests and numerical simulations

MTOPSIS-GRA model for comprehensive assessment of RC-beam fire-damage state was successfully proposed. Firstly

through a series of fire high-temperature tests

vibration tests and static-load tests upon totally 10 T-shape beams

corresponding key data

such as thermodynamic-decay characteristics

was further achieved. And based on that

the above information was better compared with the results achieved by ANSYS numerical simulations and calculations. Secondly

one set of assessment-index systems for RC-beam fire-damage state

composed of post-disaster apparent characteristics

maximum surface temperature

fire duration

bearing capacity reduction

stiffness reduction and fundamental frequency reduction and other indexes

was constructed. Besides that

a comprehensive quantitative-classification standard targeting to the said assessment-index system was preliminarily determined. And by means of further optimizing assessment-index weights achieved by Analytic Hierarchy Process and Entropy-weight Method with combination forms

as well as introducing and improving Modified Technique for Order Preference by Similarity to Ideal Solution (MTOPSIS) and Grey Relational Analysis (GRA)

one MTOPSIS-GRA model applicable to comprehensive assessment of RC-beam fire-damage state has been determined. Finally

by applying this way into practical post-disaster RC-beam fire-damage assessments and conducting necessary comparative analyses between the current post-disaster building-structure appraisal standard method and actual results achieved by a large number of experiments

it turns out that the assessment results achieved therein are basically consistent with the standardized assessment ones. However

the former can more comprehensively and accurately assess whole-structure fire-damage state.

关键词

Keywords

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