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    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/25501


    題名: 資產管理機制應用於國道柔性鋪面維護之研究-以國道三號為例;Study of Utilizing the Asset Management System into Asphalt Pavement Maintenance of Freeway – Case of Freeway No.3
    作者: 宋柏勛;Po-Hsun Sung
    貢獻者: 土木工程研究所
    關鍵詞: 資產管理;柔性鋪面;資料採礦;鋪面管理系統;時間序列;決策樹;風險評估;Asset Management;Asphalt Pavement;Data Mining;Pavement Management System;Time Series;Decision Tree;Risk Management
    日期: 2010-01-27
    上傳時間: 2010-06-10 16:46:58 (UTC+8)
    出版者: 國立中央大學圖書館
    摘要: 資產管理為將資產轉換為成本來進行管理的手段,主要目的為計算資產之價值並進行評估其投資效益,應用在國道柔性鋪面管理上,則需建立起最重要的資產清冊及其歷史資料,計算出各個資產之成本,方可清楚列出各個資產之價值。 在資產清冊建立方面採用各車道每20m建立一筆資料,將國道三號0k+000 ~110k+000之竣工資料及維護工程資料建立於資產資料庫中,並將降雨量及氣溫資料藉由反距離權重法建立於各個資產之中,藉著完整的原始資料計算出各個資產之成本,建立起全生命週期之成本資料庫。 由於資料庫建立之資料與以往鋪面管理系統不同,藉著資料採礦模式之一連串分析來重新探討柔性鋪面破壞之原因及特性,使用主成份分析來分析柔性鋪面破壞之因素,利用決策樹分析來找出鋪面破壞之原因及預測其破壞類別,以時間序列分析建立資產評估時之風險評估參考依據,將所有路段進行集群分析,以利主管機關在分派管轄範圍時之用。 資產管理之重要工作便是對資產進行評估,本研究將研究路段中之所有路段進行壽年分析以找出折舊週期,分別為新工通車後至第一次維護為8.9年,之後的維護工程間隔時間為4.5年,以此建立資產評估基準值計算模式,經評估後發現木柵工務段及關西工務段之鋪面服務水準維持在不錯的狀況下。 風險評估分析適用於鋪面維護工程之方案選擇,本研究利用時間序列分析結果及該路段之歷史維護資料進行整體研判以預估其所會發生之破壞類型及破壞時間,藉此風險評估模式來決定各路段是否進行維護。 在進行維護工程時會因為延遲了道路使用者之旅行時間而產生道路使用者成本,經由本研究所建立之道路使用者成本分析模式發現,以目前進行維護工程之情形而言,道路使用者成本約佔維護工程費用之5%,此部分之費用亦值得決策者在進行各個維護方案時評估時之考量因素之一。 Asset management is a method that tranferred the assets into cost to management. The main object is that to calculate the value of assets and assess the benefit of investment. When utilized the asset mamagement method on freeway pavement management, it must been founded on assets inventory and historic maintenance. To calculate all the cost of assets could list the value of all the assets. The assets inventory was founded per 20m of lane. In the study, the information of completed projects and asphalt pavement maintenance in the 0K~110K of freeway no. 3 was built up into the assets database. The data of annul rainfall and annul temperature was founded to all the assets by inverse-distance-weight method. The life cycle cost database was built up by calculating all the cost of assets form complete raw data. The asset database is different to pavement management system. It was probed into the reasons and characteristic of asphalt pavement crack by datamining process. Using principal component analysis to analyze the factors of asphalt pavement. Finding the reasons of asphalt pavement cracks and forecasting the crack types by using decision tree. The analysis of time series wan the basis of risk evolate when assessing the assets. The cluster ayalysis of all assets was ustilized to allot the road range of official authorities. The most important work of asset management was assessing the assets. All the assets were analyzed the survival life of all the assets and find out period of the depreciation in the study. It is 8.9 years that the period between newly construction and first maintenance. It is 4.5 years that the period between maintenances. The assess model was set by the two periods. The results cross by the assess model was that the assets serice level was great. The risk analysis was suitable for the choice of asphalt pavement maintenance plan. To analyze the results of time series analysis and the historical maintenance data forecasted the crack types and times. To make a decision maintained the assets or not by the risk analysis model. The road user cost was caused by the delay travel time when the pavement maintenance construction processed. The rate was founded about 5% of maintenance construction cost by the model of road user cost. It is worthy that decreased the cost of road user when making decision of asphalt pavement maintenance plans.
    顯示於類別:[土木工程研究所] 博碩士論文

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