Study On Quality Risk Of Control Jiulongwan Steel Structure Project Based On Life-cycle

Since the 21 th century,the rapid development of China's construction industry benefited from the continuous advance of China's economy,which is mainly reflected in the growing scale of the construction market.Many construction practitioners and scholars have noticed that due to the large-scale,long-time,high investment and other characteristics of the project,the quality of steel products has become a hot topic.This requires the use of scientific and rational quality risk assessment methods to accurately identify the quality of risk management problems and causes.Technical control and effective management of the quality risk of steel structure project can ensure the quality of steel structure project.Based on the life cycle management of the Jiulongwan Steel Project,this paper has carried out quality risk identification.After establishing the risk index system,the paper demonstrates the feasibility of the rough set_BP neural network evaluation method,and constructs the steel structure project quality risk evaluation method by using this method.Combined with the actual situation of Jiulongwan Project and the comprehensive score of experts with full life cycle risk factors,the paper first summarizes the collected sample data with rough set;and then,the simplified risk index is taken as the input of the BP neural network evaluation model of the quality risk of the steel structure project;finally,the rough set_BP neural network is trained and tested by means of MATLAB software.This paper uses the rough set_BP neural network risk assessment model to quantitatively analyze the project risk.The conclusion is that the quality risk of the Jiulongwan steel structure project is at the general level.On this basis,the paper uses the analytic hierarchy process to calculate the weight of various factors that induce quality risk.It find that there is a high risk in financing,internal decision-making,design failure,quality of steel,welding stage and acceptance stage.The paper has formulated the scheme and guarantee measures to reduce the project quality risk.