|本期目录/Table of Contents|

[1]李慧民,段品生,孟海,等.基于IPSO-BP的受损钢结构改造施工安全预警评估研究[J].中国安全生产科学技术,2019,15(8):174-180.[doi:10.11731/j.issn.1673-193x.2019.08.028]
　LI Huimin,DUAN Pinsheng,MENG Hai,et al.Study on safety earlywarning assessment of damaged steel structure reconstruction based on IPSO-BP[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(8):174-180.[doi:10.11731/j.issn.1673-193x.2019.08.028]
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基于IPSO-BP的受损钢结构改造施工安全预警评估研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年8期
页码:
174-180
栏目:
职业安全卫生管理与技术
出版日期:
2019-08-31

文章信息/Info

Title:
Study on safety earlywarning assessment of damaged steel structure reconstruction based on IPSO-BP
文章编号:
1673-193X(2019)-08-0174-07
作者:
李慧民1; 段品生1; 孟海1; 2; 郭海东1
（1.西安建筑科技大学 土木工程学院，陕西 西安 710055；
2.中冶建筑研究总院有限公司，北京 100088）
Author(s):
LI Huimin1; DUAN Pinsheng1; MENG Hai1; 2; GUO Haidong1
(1.School of Civil Engineering,Xi’an University of Architecture and Technology,Xi’an Shaanxi 710055,China;
2.Central Research Institute of Building and Construction Co.,Ltd.,MCC,Beijing 100088,China)
关键词:
安全控制; 预警评估; 受损钢结构; IPSO-BP神经网络; 改造施工
Keywords:
safety control;  earlywarning assessment;  damaged steel structure;  IPSO-BP neural network;  reconstruction
分类号:
X947
DOI:
10.11731/j.issn.1673-193x.2019.08.028
文献标志码:
A
摘要:
为研究受损钢结构改造施工安全预警状况，建立受损情况下钢结构改造施工安全预警指标体系，并针对BP神经网络算法易陷入局部最优的问题，提出了用改进粒子群算法（IPSO）对BP神经网络权重及阈值进行调整的IPSO-BP安全预警评估模型。通过分析某单层重钢厂房受损现状，针对其结构损伤情况和已构建的安全控制指标体系进行数值模拟分析。研究结果表明：与传统的BP模型相比，IPSO-BP模型具有更好的预测能力，构建的安全预警指标体系及预警模型可以很好地对受损钢结构改造施工过程安全状况进行综合评估，对受损钢结构改造施工安全控制具有一定的参考价值。
Abstract:
In order to study the safety earlywarning status of damaged steel structure reconstruction,a safety earlywarning index system of damaged steel structure reconstruction was established.Aiming at the problem that the BP neural network algorithm is easy to fall into the local optimum,an IPSO-BP safety earlywarning assessment model was put forward,which adopted the improved particle swarm optimization algorithm (IPSO) to adjust the weights and thresholds of BP neural network.By analyzing the damage situation of a singlelayer heavy steel plant,the numerical simulation analysis was carried out based on its structural damage conditions and the built safety control index system.The results showed that the IPSO-BP model had better predictive ability compared with the traditional BP model,and the safety earlywarning index system and earlywarning model could assess the safety status of the damaged steel structure reconstruction process comprehensively.It has a certain reference value for the safety control of damaged steel structure reconstruction.

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备注/Memo

备注/Memo:
收稿日期： 2019-07-10
* 基金项目： 国家自然科学基金项目（51478384）
作者简介： 李慧民，硕士，教授，主要研究方向为土木工程建造与管理。
通信作者： 段品生，硕士研究生，主要研究方向为土木工程建造与管理。
更新日期/Last Update: 2019-09-04