- 學位論文
機場道面分類指數自動化分析之研究
Automated analysis for Airport Pavement Classification Number
摘要
國際民航組織於1983年公佈ACN-PCN 方法，作為機場道面承載力之通報標準，但多年來PCN值之評估方式並未有一套程序完整之計算流程供機場工程單位參照。 本研究擬以FAA AC 150/5335-5A的標準PCN計算流程為基礎，配合COMFAA軟體，建立一操作簡易的PCN基本計算程式。在建構程式的剛性鋪面設計模式時，本研究利用了R805FAA的版塊最大邊緣應力迴歸式概念；柔性鋪面設計模式則是利用ESWL值、撓度係數概念與美國陸軍水道實驗室的 CBR 設計公式。而無論剛性鋪面或是柔性鋪面的設計模式均利用COMFAA 2.0輸出的數據建立。建立好的剛、柔性鋪面設計模式將以迴歸式方式呈現，並配合FAA標準PCN計算流程建立連貫的PCN計算程序，此程序經驗證後可以得到與FAA標準PCN計算流程相同的PCN計算結果。 此外本研究還利用了等效厚度公式與加鋪逆設計的概念對於柔性加鋪的跑道PCN值計算進行探討，並對於剛性鋪面的有效K值計算與柔性鋪面的等價厚度係數計算進行說明。最後本研究探討了逐點與以代表值計算PCN值的差異性，結果發現逐點計算PCN值較以代表值計算PCN值更具有合理性，建議往後分析PCN的單位可以使用逐點計算進行PCN值分析。
並列摘要
International Civil Aviation Organization (ICAO) published the ACN/PCN method to be a standard publish for the airport pavement strength in 1983. However, until now, there is no complete process of PCN evaluation for airport engineering departments to follow. This research establishes an easily-used PCN evaluation program, which is based on FAA AC 1502/5335-5a and the COMFAA program to. This research uses the concept of the regression formula for maximum edge stress from R805FAA program for rigid pavement model and uses the concept of equivalent single wheel load (ESWL), deflection factor, and CBR design method for flexible pavement model. Both rigid and flexible pavement models are constructed based on the output data from the COMFAA 2.0 program . The pavement models are incorporated with the the standardPCN evaluation process suggested by FAA to establish a comprehensive PCN evaluation process. This comprehensive PCN evaluation process is capable of obtaining the same PCN values as the values calculated by the standard PCN evaluation process suggested by FAA. In addition, this research uses the equivalent thickness method and the reverse overlay design concept to solve the PCN calculation problem about AC overlaid pavement . The research also illustrates the calculation of effective K-values for rigid pavement and the equivalent factors for flexible pavement. Finally, the research investigates the differences between the PCN values obtained from multi-point calculation or representative value calculation. The result shows that the PCN values obtained from multi-point calculation are more reasonable than those obtained from representative value calculation.