Development of artificial neural network for condition assessment of bridges based on hybrid decision making method – Feasibility study

作者：

Highlights：

• An original ANN application used as a bridge management system is presented.

• Neural network was used to rank bridges on the basis of their technical condition.

• Performance of the model is shown on the example of railway bridges.

• Comprehensive tests are verified with the use of novel hybrid multi criteria method.

摘要

•An original ANN application used as a bridge management system is presented.•Neural network was used to rank bridges on the basis of their technical condition.•Performance of the model is shown on the example of railway bridges.•Comprehensive tests are verified with the use of novel hybrid multi criteria method.

论文关键词：Bridge management system (BMS),Artificial neural network (ANN),Extent analysis fuzzy analytic hierarchy process (EA FAHP),Dominant analytic hierarchy process (DAHP),Multi-criteria decision analysis (MCDA),Railway bridge,Management

论文评审过程：Received 8 May 2020, Revised 5 November 2020, Accepted 6 November 2020, Available online 16 November 2020, Version of Record 24 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114271