- Infrastructure Resilience and Vulnerability Analysis
- Disaster Management and Resilience
- Wind and Air Flow Studies
- Evacuation and Crowd Dynamics
- Probabilistic and Robust Engineering Design
- Seismic Performance and Analysis
- Structural Health Monitoring Techniques
- Disaster Response and Management
- Concrete Corrosion and Durability
- Water Quality and Pollution Assessment
- Structural Response to Dynamic Loads
- Construction Engineering and Safety
- Infrastructure Maintenance and Monitoring
- Masonry and Concrete Structural Analysis
- Facility Location and Emergency Management
- Transportation Planning and Optimization
- earthquake and tectonic studies
- Risk and Safety Analysis
- 3D Surveying and Cultural Heritage
- Structural Engineering and Vibration Analysis
- Facilities and Workplace Management
- Occupational Health and Safety Research
Texas A&M University
2018-2022
University of Auckland
2017-2021
Sharif University of Technology
2018
Abstract In this paper, a comprehensive community‐level model is developed advancing the use of agent‐based modeling for purpose community resilience planning. Agents to simulate businesses, healthcare system, and people are introduced, which utilized along with set agents education utilities, households create an Centerville testbed subjected tornado hazards. Resilience measures also introduced quantify its systems make it possible assess various strategies related pre‐disaster preparedness...
At 00:02 on 14th November 2016, a Mw 7.8 earthquake occurred in and offshore of the northeast South Island New Zealand. Fault rupture, ground shaking, liquefaction, co-seismic landslides caused severe damage to distributed infrastructure, particularly transportation networks; large segments country’s main highway, State Highway 1 (SH1), Main North Line (MNL) railway line, were damaged between Picton Christchurch. The direct local impacts, including isolation communities, wider regional...
Business recovery after a disaster plays an important role in the socioeconomic of community. This study focuses on development probabilistic modelling approach for quantifying and predicting business through Bayesian linear regression. The proposed consists three steps including data collection, model forms, selection rigorous evaluation elimination steps. Four attributes, namely cease operation days, revenue recovery, customer retention, employee which describe post-disaster state...
This paper seeks to calibrate an existing analytical framework develop building repair fragility models using a restoration dataset collected through longitudinal field study in the city of Joplin, Missouri, after catastrophic 2011 Enhanced Fujita 5 tornado. First, recovery data set from Joplin is documented and main findings pertaining observed trajectory buildings are highlighted. In next step, various empirical functionality fragilities conditioned on initial level (and associated damage)...
The wind, storm surge, and flooding loads due to the 2017 Hurricane Harvey had a detrimental impact on built infrastructure in coastal communities. This paper presents lessons learned from damage Port Aransas region Texas observed after through reconnaissance postsurvey data as well statistical analyses associated patterns of failure modes. observations findings this study are also compared empirical evidence past hurricane-induced buildings. A set rapid detailed assessment is developed...
This paper presents the use of modern survey techniques, particularly light detection and ranging (LiDAR) scanning, to collect time-sensitive information before after shake table experiments. Two full-scale, three-story residential buildings were tested simultaneously on largest in world. The focus this study is LiDAR document observations during these tests. challenges experienced prompted development a formalized procedure using scanning which can be used by other researchers when planning...
The validity and accuracy of loss estimations using the Performance Based Earthquake Engineering (PBEE) approach is studied through integrated experimental findings expert panel solicitation. study had two parts focusing on component- building-level studies. At component-level, experts estimated damage to building components provided repair specifications with associated costs times based initial state. study, assessed component in detail dataset collected during experiments prepared a...