Multiobjective Optimization of Maintenance Scheduling: Application to Slopes and Retaining Walls

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• 作者：Roman Denysiuk ; ^{roman.denysiuk@algoritmi.uminho.pt" class="auth_mail" title="E-mail the corresponding author} ; José ; C. Matos ^{jmatos@civil.uminho.pt" class="auth_mail" title="E-mail the corresponding author} ; Joaquim Tinoco ^{jabtinoco@civil.uminho.pt" class="auth_mail" title="E-mail the corresponding author} ; Tiago Miranda ^{jabtinoco@civil.uminho.pt" class="auth_mail" title="E-mail the corresponding author} ; Antó ; nio Gomes Correia ^{agc@civil.uminho.pt" class="auth_mail" title="E-mail the corresponding author}
• 关键词：maintenance scheduling ; multiobjective optimization ; evolutionary algorithms
• 刊名：Procedia Engineering
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：143
• 期：Complete
• 页码：666-673
• 全文大小：333 K

文摘

This paper presents a computational framework for maintenance scheduling for road assets. This framework incorporates degradation and maintenance models along with optimization of maintenance strategies. Uncertainties inherit in the degradation process and effects of maintenance actions are addressed by considering model parameters as random variables and employing Monte Carlo simulation to estimate the future performance. The optimization involves the consideration of multiple objectives and the constraints satisfaction. The design variables are the type of maintenance actions and time of application. The objectives are the minimization of asset degradation and maintenance costs. The focus of experimental study is on slopes and retaining walls that are an integral part of many existing road networks. The obtained results demonstrate the validity and usefulness of the proposed framework. The presented framework can be generalized and applied to different types of infrastructure assets.