Bayesian Networks as a Support to Decision-Making When Evaluating Maintenance Scenarios

• 作者: Caterina Salvatori Daniela Ladiana Federico Novi
• 来源期刊: 土木工程与建筑:英文版
• 学科: 工学
• 关键词: Maintenance-oriented design decision support system maintenance scenarios Bayesian networks rating system
• 年，卷（期）: 2020,（8）
• 页码范围: 459-465
• 页数: 7页
• 分类号: TN9

摘要

Contemporary architecture is characterized by an ever-greater morphological,functional and technological complexity.This requires new skills to effectively implement a process capable of ensuring an uninterrupted link between the concept of a building and its construction.The research described here focuses on implementing a tool for evaluating levels of maintenance quality applied at various stages in a project.In methodological terms,the research was conducted with the intention of constructing a system capable of managing the large number of variables involved in the design of a work of architecture from the earliest phases.The proposed digital model was defined through the construction and implementation of a Bayesian Network.The duration and maintainability of building components-generally expressed in statistical forecasts as expected duration in relation to operating conditions and as estimated costs and times of maintenance-were jointly evaluated using a synthetic index to generate a true overall rating of the various aspects that play a part in defining the quality of maintenance.The effectiveness of this decision-making support was tested in evaluations of complex architectural projects.Specifically,this text presents the results of an analysis of different maintenance scenarios for the ING Group Headquarters.