A5055859800- Structural Health Monitoring Techniques
- Infrastructure Resilience and Vulnerability Analysis
- Seismic Performance and Analysis
- Infrastructure Maintenance and Monitoring
- Disaster Management and Resilience
- Traffic Prediction and Management Techniques
- Anomaly Detection Techniques and Applications
- Evacuation and Crowd Dynamics
- Radiomics and Machine Learning in Medical Imaging
- Seismology and Earthquake Studies
- Remote-Sensing Image Classification
- Structural Response to Dynamic Loads
- Industrial Vision Systems and Defect Detection
- Embedded Systems and FPGA Design
- IoT-based Smart Home Systems
- Transportation Safety and Impact Analysis
- Geographic Information Systems Studies
- Geotechnical Engineering and Analysis
- Remote Sensing and Land Use
- 3D Modeling in Geospatial Applications
- Wind and Air Flow Studies
- Seismic Waves and Analysis
- 3D Surveying and Cultural Heritage
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
University of California, Berkeley
2023-2024
University of California, Los Angeles
2019-2023
ORCID
2020
Boğaziçi University
2013-2015
Kandilli Observatory and Earthquake Research Institute
2015
Abstract Effective post‐earthquake response requires a prompt and accurate assessment of earthquake‐induced damage. However, existing damage methods cannot simultaneously meet these requirements. This study proposes framework for real‐time regional seismic that is based on Long Short‐Term Memory (LSTM) neural network architecture. The proposed not specially designed individual structural types, but offers rapid estimates at scale. built around workflow establishes high‐performance mapping...
Abstract Every year, earthquakes result in severe economic losses and a significant number of casualties worldwide. In limiting the that occur after these extreme events, timely accurate assessment seismic damages mobilizing proportionate post‐event relief efforts play crucial roles. Traditional on‐site investigation generally results prolonged evaluation windows. Several computational alternatives exist show promise addressing downsides traditional approach. Damage estimates based on...
Inelastic response of reinforced concrete columns to combined axial and flexural loading is characterized by plastic deformations localized in small regions, which are idealized as hinges. Under extreme events such earthquakes, the load-carrying deformation capacities beam/columns highly dependent on accuracy this idealization for hinge length a key parameter. From design perspective, column can only attain ductility characteristics prescribed its performance level if it provided with...
While simulation environments for the study of community resilience are rapidly advancing, they remain constrained by completeness inventory data. This paper presents an augmented parcel approach leveraging various sources open data, machine learning modules, and time-evolving rulesets to support Hazus-compatible risk assessments on a wide class buildings under hurricane wind flood hazards. These techniques implemented within open-source regional loss assessment workflow Natural Hazards...
Earthquakes, being both unpredictable and potentially destructive, pose great risks to critical infrastructure systems like transportation. It becomes crucial, therefore, have a fine-grained holistic understanding of how the current state transportation system would fare during hypothetical hazard scenarios. This paper introduces synthesis approach assessing impacts earthquakes by coupling an image-based structure-and-site-specific bridge fragility generation methodology with regional-scale...
In this paper, we provide two case studies to demonstrate how artificial intelligence can empower civil engineering. the first case, a machine learning-assisted framework, BRAILS, is proposed for city-scale building information modeling. Building modeling (BIM) an efficient way of describing buildings, which essential architecture, engineering, and construction. Our framework employs deep learning technique extract visual buildings from satellite/street view images. Further, novel (ML)-based...
ASCE evaluates the U.S. transportation infrastructure every four years. Its most recent report in 2017 grades nation's roads and bridges at D C+, respectively. This poor condition coupled with impending natural hazards exacerbates risks emanating from potential losses of mobility. Consequently, quantified investigation resilience regional networks has been a growing research focus. Despite this increasing attention, state-of-the-art studies fall short devising utilizing explicit network...
Disruption of transportation is one the largest contributors to social and economic losses due disasters. An essential aspect regional resilience ability networks maintain functionality under stress. In U.S., in seismic regions are deemed especially vulnerable because poor current condition a significant portion their bridges. This vulnerability necessitates quantified investigation network perturbation anticipated major events as well recovery process from such perturbations. information...
Earthquakes, being both unpredictable and potentially destructive, pose great risks to critical infrastructure systems like transportation. It becomes crucial, therefore, have a fine-grained holistic understanding of how the current state transportation system would fare during hypothetical hazard scenarios. This paper introduces synthesis approach assessing impacts earthquakes by coupling an image-based structure-and-site-specific bridge fragility generation methodology with regional-scale...
Bu makale, deprem kayıtlarını kullanarak köprü yapılarının sistem tanılaması için yeni bir yöntem sunmaktadır. Köprüler, genellikle yapısal elemanlarının geniş mesafelere yayılmasından ötürü, diğer yapılara nispeten yer hareketlerinin uzamsal değişkenliğine daha hassastırlar. nedenle, özellikle temelleri değişik zemin türlerine oturan uzun ve çok kolonlu köprülerin simülasyonlarında kullanılacak nitelikte hareketi kayıtlarının ölçümü karmaşık süreçtir. Bilhassa hem eylemsizlik de kinematik...