Benefit Evaluation of Preventive Maintenance of Highway Bridges Based on Fuzzy Neural Network

Abstract

Aiming at the deficiencies in the existing bridge preventive maintenance evaluation, this paper constructs a concrete bridge preventive maintenance benefit evaluation index system based on the common preventive maintenance methods of concrete bridges. The comprehensive evaluation vector is used as the training data of the neural network to construct a preventive maintenance benefit evaluation model of concrete bridges based on a fuzzy neural network, and use the model to evaluate the maintenance benefit of specific construction cases. The results show that the model has high accuracy and practicability for the evaluation of preventive maintenance benefits of concrete bridges.

A Hybrid Approach to Investigating Major Management Factors for Effective Highway Preventive Maintenance

“…Upon identi cation of such issues, maintenance measures such as sealing cracks or patching potholes can be promptly implemented to prevent further damage (Yan 2020, Jiang et al 2012). Effective HPM is a reasonable approach towards sustainable highways as it prioritizes preventative maintenance over corrective maintenance through early treatment, proactive maintenance, and advanced maintenance (Shi 2017, Zou et al 2022). By conducting regular maintenance and repairs, HPM can address minor issues before they become major problems, preventing the need for more extensive and environmentally damaging repairs or reconstruction which may have signi cant environmental impacts (Kothari et al 2022, including increased carbon emissions from heavy equipment, generated construction waste from construction activities, and disruption to ecosystems (Amarasiri and Muhunthan 2022).…”