摘要
本研究运用层次分析法和BP神经网络构建山区桥梁施工安全风险评估模型,提供更为客观精准的评估手段。首先,针对山区桥梁建设中遇到的实际问题,筛选出符合山区桥梁建设特点的施工安全风险因素。在此基础上,为构建山区桥梁施工安全风险评价模型,利用层次分析法进行权重分析,并借助BP神经网络对样本数据进行训练,最后通过对实际工程项目的应用证明该方法实施具有可行性。结果显示,采用BP神经网络进行山区桥梁建设安全风险评估,能够更好地反映山区桥梁建设中的重大风险因子,实现对山区桥梁建设的风险水平的精确预测,具有较高的计算效率,在某种程度上可以有效地消除人为主观的影响,从而为山区桥梁建设工程的安全风险水平评定提供依据。
This study uses Analytic Hierarchy Process and BP neural network to construct a safety risk assessment model for bridge construction in mountainous areas,providing a more objective and accurate evaluation method.Firstly,in consideration of the challenges encountered in the construction of bridges within mountainous regions,a new safety risk assessment method for mountain bridge construction is proposed,on this basis,in order to establish a risk assessment model for mountain bridge construction projects,the AHP method is employed to preprocess the available sample data,while the BP neural network is utilized to train the gathered sample data.By conducting a study on actual engineering projects,it has been demonstrated that the proposed approach is both effective and feasible.The results show that the use of BP neural network for safety risk assessment of mountain bridge construction can better reflect the major risk factors in mountain bridge construction,realize the accurate prediction of the risk level of mountain bridge construction,have high computing efficiency,and can effectively eliminate the subjective influence of human beings to a certain extent,so as to provide a basis for the safety risk level assessment of mountain bridge construction projects.
作者
李志英
徐梦凡
申梦
LI Zhiying;XU Mengfan;SHEN Meng(School of Architecture and Planning,Yunnan University,Kunming 650500,China)
出处
《建筑经济》
2024年第S2期85-89,共5页
Construction Economy
关键词
山区桥梁
施工安全评价
BP神经网络
风险等级
bridges in mountainous areas
construction safety evaluation
BP neural network
risk level
