Building condition assessment using artificial neural network and structural equations
作者：
Highlights：
• Present a physical condition assessment model for existing educational buildings.
• Predict the future condition data of building components via an ANN and SEM model.
• Determine the maintenance level metrics for interventions and foreseeable timing.
• Prioritize building components for maintenance purposes.
• Record the parameters influencing the condition state of building components.
摘要
•Present a physical condition assessment model for existing educational buildings.•Predict the future condition data of building components via an ANN and SEM model.•Determine the maintenance level metrics for interventions and foreseeable timing.•Prioritize building components for maintenance purposes.•Record the parameters influencing the condition state of building components.
论文关键词：Building condition assessment,Artificial neural network,Structural equation modeling,Maintenance management,Facilities management
论文评审过程：Received 8 May 2021, Revised 6 August 2021, Accepted 7 August 2021, Available online 15 August 2021, Version of Record 25 August 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115743
