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DOI10.1061/JPCFEV.CFENG-4633
Risk-Based Self-Improving Asset Management Framework for Coastal Protection Structures Using 1+Inspection Points
发表日期2024
ISSN0887-3828
EISSN1943-5509
起始页码38
结束页码3
卷号38期号:3
英文摘要Limited research has been directed toward coastal protection infrastructure compared to other types of infrastructure, despite the increasing global population in low-elevated coastal regions and the threats posed by climate change. This paper presents a risk-based asset management framework for coastal protection structures that improves accuracy with each inspection. The framework consists of five components: the Coastal Asset Inventory (CAI), Inspection and Condition Assessment (ICA) module, Backward Markovian Deterioration Model (BMDM), Forward Markovian Deterioration Model (FMDM), and Intervention Policy Engine (IPE). The framework addresses challenges in accurately predicting coastal structure deterioration due to uncertainties in wave loading conditions and the need for frequent inspections. It is applied to rubble-mound breakwaters in Alexandria, Egypt. The BMDM and FMDM models are developed based on inspection data, and the IPE optimizes interventions considering structural condition, risk thresholds, and budget constraints. Results showed that long-term deterioration estimates occur at an accelerated rate with an increase in inspection points, triggering earlier interventions. However, the framework proves reliable even with only two inspection points, allowing asset managing agencies to implement the model based on the structural condition at the year of construction and a minimum of two inspections. The proposed risk-based asset management framework provided a comprehensive approach to managing coastal protection infrastructure, reducing risks to life and property. By accurately predicting deterioration and optimizing intervention decisions, the framework can greatly assist in the effective management and maintenance of coastal assets. This is vital in ensuring the safety of coastal populations facing global climate change and demographic growth. Coastal protection structures are crucial for safeguarding coastal populations in the face of climate change and demographic growth. This research paper introduces a risk-based asset management framework for coastal protection structures, with practical applications for coastal management agencies and practitioners. The framework addresses the challenges of predicting coastal structure deterioration and optimizing intervention decisions. The framework consists of five components: the Coastal Asset Inventory (CAI), Inspection and Condition Assessment (ICA), Backward Markovian Deterioration Model (BMDM), Forward Markovian Deterioration Model (FMDM), and Intervention Policy Engine (IPE). It has been successfully applied to rubble-mound breakwaters in Alexandria, Egypt. The practical implications are significant: The framework enables asset managers to make informed decisions on coastal infrastructure maintenance and interventions, reducing risks to life and property. It provides a comprehensive approach to managing coastal protection infrastructure and ensuring the safety of coastal populations. By accurately predicting deterioration and optimizing interventions, the framework supports effective management and maintenance of coastal assets. Its reliability and flexibility make it a valuable tool for coastal management practitioners, promoting sustainable development and safeguarding coastal areas. With its potential for broader application, this risk-based asset management framework offers practical solutions for coastal protection worldwide.
英文关键词Coastal protection structures; Asset management; Markov chains; Risk-based modeling
语种英语
WOS研究方向Construction & Building Technology ; Engineering
WOS类目Construction & Building Technology ; Engineering, Civil
WOS记录号WOS:001202622500009
来源期刊JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/289871
作者单位Egyptian Knowledge Bank (EKB); Arab Academy for Science, Technology & Maritime Transport; Qassim University; Egyptian Knowledge Bank (EKB); Mansoura University; Egyptian Knowledge Bank (EKB); American University Cairo; Egyptian Knowledge Bank (EKB); National Water Research Center; Toronto Metropolitan University
推荐引用方式
GB/T 7714
. Risk-Based Self-Improving Asset Management Framework for Coastal Protection Structures Using 1+Inspection Points[J],2024,38(3).
APA (2024).Risk-Based Self-Improving Asset Management Framework for Coastal Protection Structures Using 1+Inspection Points.JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES,38(3).
MLA "Risk-Based Self-Improving Asset Management Framework for Coastal Protection Structures Using 1+Inspection Points".JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES 38.3(2024).
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