Evaluation of Flood-Vulnerable Pavement Network in Support of Resilience in Pavement System Management

被引:0
|
作者
Hong, Feng [1 ,2 ]
Wu, Hui [2 ]
Li, Jenny [2 ]
Paul, Elizabeth [2 ]
机构
[1] Texas State Univ, San Marcos, TX 78666 USA
[2] Texas Dept Transportat, Austin, TX USA
关键词
pavement management systems; pavement asset management; sustainability and resilience; natural hazards and extreme weather events; vulnerability and resilience assessment;
D O I
10.1177/03611981231156934
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Transportation systems play a pivotal role in the nation's economic and societal development. Transportation assets, such as pavements and bridges, are inevitably subject to the effects of climate and environment. These stressors mainly include flood, precipitation, heat, wildfire, and wind. Specifically, more extreme weather events, such as hurricanes and snowstorms, have occurred in recent years. This requires stakeholders to better prepare transportation infrastructure resilience in planning, design, construction, and management. Its importance is manifested through nationwide policy and state-level practice. For example, in Bipartisan Infrastructure Law, the FHWA directs all state DOTs to incorporate resilience in their transportation asset management plans. A critical element in resilience is to evaluate the effect of climatic or environmental stressors on facilities' performance. This study examines the impact of flood on the TxDOT-managed pavement network. It proposes a method to evaluate the flood-vulnerable pavement network in the context of resilience. First, the GIS tool is used to overlap a 100-year frequency flood with the road network to identify weak pavement sections subject to flood risk. Second, a simulation is run to determine sections affected by flood over a 10-year analysis horizon. Then, different deterioration models are used to predict the network-level pavement performance, to reflect (1) normal deterioration without flood, (2) optimistic accelerated deterioration under flooding, and (3) pessimistic accelerated deterioration under flooding. It is found that the network-level pavement will experience varying levels of performance reduction, owing to a 100-year flood impact. The quantified performance change can serve to enhance infrastructure resilience preparation for more reliable pavement system management.
引用
收藏
页码:474 / 482
页数:9
相关论文
共 50 条
  • [1] Estimating Pavement's Flood Resilience
    Khan, Misbah U.
    Mesbah, Mahmoud
    Ferreira, Luis
    Williams, David J.
    JOURNAL OF TRANSPORTATION ENGINEERING PART B-PAVEMENTS, 2017, 143 (03):
  • [2] Evaluation of Pavement Support for Pavement Design
    Zhou, Wujun
    Choi, Pangil
    Ryu, Sung Woo
    Won, Moon C.
    JOURNAL OF TRANSPORTATION ENGINEERING, 2015, 141 (09)
  • [3] Assessing social resilience of flood-vulnerable communities in Ayeyarwady Delta, Myanmar
    Lwin, Ko Ko
    Pal, Indrajit
    Shrestha, Sangam
    Warnitchai, Pennung
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2020, 51
  • [4] Evaluation of pavement resilience to flooding with inverted pavement structure
    Chen, Xiao
    Wang, Hao
    ROAD MATERIALS AND PAVEMENT DESIGN, 2024, 25 (12) : 2709 - 2728
  • [5] Pavement Structural Evaluation at Network Level Pavement Management-A Case Study
    Nasimifar, M.
    Thyagarajan, S.
    Sivaneswaran, N.
    AIRFIELD AND HIGHWAY PAVEMENTS 2019: DESIGN, CONSTRUCTION, CONDITION EVALUATION, AND MANAGEMENT OF PAVEMENTS, 2019, : 343 - 353
  • [6] A network level pavement management system for China
    Pan, Y
    Kerali, HR
    Snaith, MS
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT, 1999, 135 (03) : 131 - 137
  • [7] Evaluation of Semiautomated and Automated Pavement Distress Collection for Network-Level Pavement Management
    Tighe, Susan L.
    Ningyuan, Li
    Kazmierowski, Tom
    TRANSPORTATION RESEARCH RECORD, 2008, (2084) : 11 - 17
  • [8] APPLICATION OF AN ARTIFICIAL NEURAL NETWORK IN A PAVEMENT MANAGEMENT SYSTEM
    Dragovan, Hrvoje
    Rukavina, Tatjana
    Domitrovic, Josipa
    ROAD AND RAIL INFRASTRUCTURE III, 2014, : 211 - 217
  • [9] Application of an Artificial Neural Network in Pavement Management System
    Domitrovic, Josipa
    Dragovan, Hrvoje
    Rukavina, Tatjana
    Dimter, Sanja
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2018, 25 : 466 - 473
  • [10] Application of network-level pavement management system technology to a unique pavement deterioration problem
    Helali, K.
    Kazmierowski, T.J.
    Bradbury, A.
    Karan, M.A.
    Transportation Research Record, 1996, (1524): : 67 - 75