Three Core Methods For Determining The Maintenance Cycle Of Steel Structure Factory Buildings

I. Material Performance Degradation Model

The maintenance of steel structure factory buildings must first consider the material aging process. By collecting sample data from factory buildings with different service lives, a steel strength degradation curve can be established.

II. Intelligent Monitoring System Deployment

Steel structure factory buildings should be equipped with an Internet of Things (IoT) monitoring network. Strain sensors should be installed at roof truss nodes to collect vibration data in real time; thickness detection probes should be installed on the exterior walls to automatically trigger an alarm when the corrosion reaches a critical value.

III. Life Cycle Cost Optimization

The maintenance of steel structure factory buildings requires balancing safety and economic efficiency. By establishing a maintenance cost database, it was found that the optimal cost-effectiveness is achieved when preventive maintenance investment accounts for 1.2% of the reconstruction cost. The Monte Carlo algorithm can be used to simulate the total cost under different maintenance cycles to find the critical maintenance interval.

The determination of the maintenance cycle for steel structure factory buildings is a dynamic optimization process that requires integrating measured data and intelligent algorithms. A dedicated health record for the steel structure factory building should be established, and the model parameters should be continuously refined through historical maintenance records, ultimately forming a personalized and scientific maintenance plan.