ABSTRACT

A road's performance is influenced by several factors. Owing to the limited availability of structural data, road agencies are forced to use rutting and fatigue cracking data as a substitute for structural bearing capacity to identify rehabilitation treatment options. However, this approach fails to assist in the development of investment strategies to reduce the life-cycle cost of the road asset nor will it maximise the safety of vulnerable road users. The introduction of traffic speed deflectometer (TSD) has made it more affordable for many road agencies to collect deflection data. The use of TSD has created a knowledge gap on methodology/mechanism as road agencies are yet to identify the best means of utilising and incorporating these structural data at network-level analysis. The structural deterioration model is a critical input in the pavement management system for predicting pavement rehabilitation needs. A practically implementable concept was adopted in this study to develop the models. These deterioration models were developed by utilising five years' time series TSD deflection data as a function of other readily available data. This study successfully established structural deterioration models that will enable road agencies to incorporate available TSD data in the pavement management system for developing investment strategies.

摘要

道路的性能受多种因素影响。由于结构数据的可用性有限，道路机构被迫使用车辙和疲劳开裂数据来代替结构承载力来确定修复处理方案。然而，这种方法不能帮助制定投资策略以降低道路资产的生命周期成本，也不能最大限度地提高弱势道路使用者的安全。交通速度偏转计 (TSD) 的引入使许多道路机构可以更实惠地收集偏转数据。由于道路机构尚未确定在网络级分析中利用和整合这些结构数据的最佳方法，因此 TSD 的使用在方法/机制方面造成了知识空白。结构劣化模型是路面管理系统中预测路面修复需求的关键输入。本研究采用了一个切实可行的概念来开发模型。这些恶化模型是通过利用五年的时间序列 TSD 偏转数据作为其他现成数据的函数而开发的。这项研究成功地建立了结构恶化模型，使道路机构能够将可用的 TSD 数据纳入路面管理系统，以制定投资策略。时间序列 TSD 偏转数据作为其他现成数据的函数。这项研究成功地建立了结构恶化模型，使道路机构能够将可用的 TSD 数据纳入路面管理系统，以制定投资策略。时间序列 TSD 偏转数据作为其他现成数据的函数。这项研究成功地建立了结构恶化模型，使道路机构能够将可用的 TSD 数据纳入路面管理系统，以制定投资策略。