Deterioration models for predicting RC structures of port mooring facilities condition: A review

• Main Authors: Puspitasari, Surya Dewi, Miao, Pengyong, Laksmi, Anasya Arsita, Fansuri, Muhammad Hamzah, Praditasari, Wibby Aldryani Astuti
• Format: Conference Proceeding
• Language: English
• Subjects: Artificial intelligence; Deterioration; Hazard assessment; Maintenance; Marine environment; Marine transportation; Mooring facilities; Offshore structures; Ports; Reinforced concrete; Service life assessment
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0235724

Maritime transportation plays a vital role with approximately 90% of goods being transported by sea. It is essential to ensure uninterrupted port operations to guarantee normal economic and trade exchanges. However, various reinforced concrete (RC) structures of port mooring facilities are rapidly deteriorating due to the harsh marine environment, mechanical forces, and extreme hazards. Therefore, establishing proactive maintenance strategies for port mooring facilities based on a deterioration model is crucial but also challenging. This model should accurately represent the actual condition of these facilities, which is complex and uncertain due to the various factors’ influence. Several deterioration models have been developed to assess the remaining service life of port mooring facilities and make informed decisions regarding maintenance, repair, and rehabilitation. These models can be classified into four categories: deterministic, stochastic, mechanistic, and artificial intelligence (AI)-based models. Corresponding to each type of model, this study reviewed their usage in practical engineering. In addition, their benefits, limitations, and potential for application in port structure deterioration are discussed in terms of five indicators: accuracy, interpretability, scalability, computational efficiency, and validation.