Narges Matini

Bio: Narges Matini is an academic researcher from Sharif University of Technology. The author has contributed to research in topics: Flooding (psychology) & Deflection (engineering). The author has an hindex of 1, co-authored 1 publications receiving 4 citations.

Protocol for FWD Data Collection at Network-Level Pavement Management in Iran:

Abstract: The objective of this study was to develop an approach for incorporating techniques used to interpret and evaluate deflection data for network-level pavement management system applications. A natio...

Development of Time–Depth–Damage Functions for Flooded Flexible Pavements

Abstract: The first step toward building pavement structures that are resilient to flooding is to have a proper understanding of the impact of inundation on the pavement. Depth-damage functions have been developed and are widely used to quantify flood-induced damage to buildings. However, such damage functions do not exist for roadway pavements. The objective of this study is to develop a methodological framework to model postflooding road damage by identifying the importance of several parameters including flood duration, flood depth, flood pattern (including real flood data), transfer functions, pavement materials, and analysis location. Pavement serviceability and costs are introduced into the evaluation as well. The long-term goal is a tool for decision makers to use in planning and management of flooding events for more resilient pavements and allocation of budgets. It is established that the most important parameters that should be accounted for by decision makers are the flood duration, combination of the materials, critical location on the roadway (both vertical and lateral), and use of appropriate transfer functions. Opening the roadway to traffic immediately after the floodwater recedes will lead to earlier and more significant deterioration of the pavement and more costly maintenance and reconstruction.

Evaluation of Structural Performance of Pavements under Extreme Events: Flooding and Heatwave Case Studies

Abstract: The recent increase in the frequency of extreme weather events has raised awareness and interest in the need for transportation infrastructure resilience. In this paper, the issue of pavement resilience is discussed with the goal of refining the idea for its use in pavement design. It is argued that one critical knowledge gap to advancing the state of the art in this area is distinguishing between functional and structural resiliency. The arguments here are framed using floods and heatwaves to demonstrate the importance of structural resilience. Under extreme event disruptions, structural damage is inevitable. The case study simulations in this paper suggest, depending on the pavement structure, intensity, and frequency of flooding events over the analysis period, that pavement rutting performance can decrease by 15.5% in the case of a structure with sand subgrade and 18.8% in the case of a structure with clay subgrade. In the case of heatwaves, the increase in rutting was found to be 2.9% in a structure with sand subgrade. To move toward more resilient pavement infrastructure, it is important to continuously monitor pavements after extreme events, develop methodologies to predict their performance, incorporate the findings in the current pavement management systems, and adapt design and management strategies accordingly. Future design and management of pavement systems should consider both structural and functional resiliency. This study shows that pavement performance simulations predict a long-term decrease in structural performance as a result of extreme events.

Field and Laboratory Characterization of Subgrade Resilient Modulus for Pavement Mechanistic-Empirical Pavement Design Guide Application:

Abstract: The resilient modulus (MR) of subgrade material is an important parameter in pavement design using the Mechanistic-Empirical Pavement Design Guide (MEPDG) and has a significant influence on pavemen

Simulating floodwater movement in pavements for developing post-flooding time-depth-damage functions

Abstract: Flooding has caused severe damage to civil infrastructure worldwide. Roadway pavements are one of the infrastructures most affected by flooding, however, quantification of post-flooding pavement damage has not received attention until recently. There remains a gap to advance knowledge on how floodwater moves inside pavements and, consequently, how it will impact post-flooding pavement damage. This study adopted finite element seepage modeling to observe floodwater movement in three different pavements, each under three flood scenarios. Laboratory testing is conducted to validate the accuracy of the model. It is concluded that both the finite element seepage modeling and laboratory testing show similar post-flooding weakening and recovery behavior in pavements. The recovery phase is much longer than the weakening phase, due to the hysteretic nature of soil moisture related to suction. The base layer loses stiffness drastically during the weakening phase, more than any studied subgrade materials. The improved understanding reported here can enhance the development of time-depth-damage functions for post-flooding pavements. It will enable the quantification of post-flooding damage and thus facilitate estimation of flood induced economic losses in practices.