Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy

提出的基于人工智能的方法与桥梁管理系统相结合，可以为给定的桥梁权威量身定制桥梁劣化模型。由此产生的模型将能够有效地实施BMS，生成过去几年的缺失检查记录，建立最佳MR&R策略，然后可靠地预测未来的桥梁状态等级。该方法将使用QDMR和GCCC的可用桥接数据集进行验证。该方法适用于整个澳大利亚和国际上的其他桥梁当局，以维持老化的桥梁库存。

The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will be verified using available bridge datasets of QDMR and GCCC. The methodology is applicable to other bridge authorities throughout Australia and internationally to maintain ageing bridge stock.