- Infrastructure Resilience and Vulnerability Analysis
- Infrastructure Maintenance and Monitoring
- Tropical and Extratropical Cyclones Research
- Fluid Dynamics Simulations and Interactions
- Concrete Corrosion and Durability
- Disaster Management and Resilience
- Flood Risk Assessment and Management
- Seismic Performance and Analysis
- Coastal and Marine Dynamics
- Risk and Safety Analysis
- Structural Health Monitoring Techniques
- Water Systems and Optimization
- Earthquake and Tsunami Effects
- Probabilistic and Robust Engineering Design
- Structural Engineering and Vibration Analysis
- Dam Engineering and Safety
- Wind and Air Flow Studies
- Structural Integrity and Reliability Analysis
- Evacuation and Crowd Dynamics
- Geotechnical Engineering and Underground Structures
- Geotechnical Engineering and Soil Mechanics
- Facility Location and Emergency Management
- Hydrology and Sediment Transport Processes
- Railway Engineering and Dynamics
- earthquake and tectonic studies
Louisiana State University
2020-2025
University of Oklahoma
2024
Rice University
2014-2023
Florida International University
2023
Texas A&M University
2023
U.S. Army Engineer Research and Development Center
2023
ORCID
2018-2019
Oregon State University
2019
Indian Institute of Technology Guwahati
2012
Abstract This paper presents a building‐level post‐hazard functionality model for communities exposed to flood hazards including the interdependencies between population, buildings, and infrastructure. An existing portfolio of building archetypes is used physical different typologies within community with goal supporting resilience‐informed decision‐making. Specific fragility‐based curves were developed this quantify exceedance probability prescribed set states. While buildings significant...
Predicting coastal infrastructure reliability during hurricane events is important for risk-based design and disaster planning, including delineating viable emergency response routes. Previous research has focused on either vulnerability to sea-level rise flooding, or the impact of changing sea level landforms surge dynamics. This paper represents a multidisciplinary effort provide an integrative model combined impacts rise, landscape changes, flooding highway bridges—the only access points...
Bridge restoration models are essential for assessing the functionality of bridges after extreme events, emergency response planning, and evaluating resilience indirect losses. Most existing lack explicit evaluation anticipated bridge in terms traffic restrictions on bridges, which is necessary realistic road network modeling. Therefore, this paper proposes a decision tree based approach to determine potential their durations using empirical expert opinion survey data imposed events. The...
This paper develops fragility functions and estimates of resilience indicators for aboveground storage tanks (ASTs) subjected to hurricanes, which can be efficiently applied all the in a regional portfolio ASTs assess their hurricane performance. Fragility assessment is essential planning mitigation strategies at level individual structures. Recently, studies have started assessing under loads; most existing are focused on specific AST type hurricane-related hazard. However, order facilitate...
Information on bridge condition rating is critical to make decisions regarding rehabilitation or replacement of bridges. Currently, components’ ratings are evaluated manually using inspection reports. Markov chain and Petri net models most commonly used for predicting future values parameters, however, applicability these a regional statewide portfolio bridges may be limited. The existing data based have low prediction accuracy. Hence, machine learning approach presented herein the major...
Highway bridges are fundamental components of transportation networks. Although chronic deterioration bridge conditions has been the primary focus asset management, implications seismic hazards, as well their interaction with maintenance and retrofitting strategies yet to be fully studied. This study aims quantitatively assess long-term performance cost effectiveness various options when coupled artificial intelligence (AI)–based decision policies. To achieve this, component is modeled using...
Tsunami events have major impact on coastal communities including loss of life and high economic damage. Tsunamis led to greater interest in, awareness of, the risks posed by tsunamis communities. can damage structures in a variety different ways. In many cases, waterborne debris has been found be significant factor structural failure (Shekhar et al., 2020). However, only recently emphasis was placed evaluating transport, impact, damming forces 2020; Stolle 2018; ASCE 2022). This study...
This paper focuses on probabilistic seismic loss estimation of bridges. The results provide several crucial insights the distribution repair costs and reasoning behind their nature—the follows a multimodal distribution. Additionally, Gaussian mixture models (GMMs) are proposed to appropriately model total in closed form. Furthermore, this study demonstrates that distributions for can be efficiently predicted using neural networks (NNs). To bridges, simulated responses 696 with varying...
Summary This study focuses on understanding and evaluating the effect of vehicle bridge interaction (VBI) response fragility bridges subjected to earthquakes. A comprehensive VBI seismic performance is conducted, providing metamodels for estimates in presence various types vehicles. For this purpose, multispan simply supported concrete girder with varying design geometric parameters assessed 3 different stationary trucks placed atop them. To delineate effects additional truck mass, are...
Recent national level guidelines and research efforts increasingly suggest the use of resilience sustainability concepts for natural hazard mitigation recovery planning at regional community levels. This paper aims to distinguish compare two abstract in context road networks recovering from a event since metrics are often interchangeably adopted can lead inaccurate equivalencies between concepts. A spectrum defined herein methodology is described evaluate them probabilistically. case study...
This study develops a methodology to model random geometric imperfections in welded cylindrical aboveground storage tanks (ASTs). Precise modeling of the ASTs is important for quantitative assessment buckling strength under various external loads, such as wind and storm surge, because phenomenon highly sensitive stochastic imperfections. Even though due extreme winds during hurricanes has been reported common failure mode, existing literature lacks models facilitate probabilistic capacity...