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Jamie E. Padgett

Jamie E. Padgett

D-Index & Metrics

Engineering and Technology

D-Index
53
Citations
11177
World Ranking
3384
National Ranking
998

Overview

Jamie E. Padgett is affiliated with Rice University in the United States and focuses their research primarily on engineering, particularly civil and structural engineering. Their scholarly output encompasses a broad range of topics related to infrastructure resilience, seismic performance, and environmental hazards.

The scientist's recent publications include the following works:

  • The promise of implementing machine learning in earthquake engineering: A state-of-the-art review (2020), Earthquake Spectra
  • The interdependent networked community resilience modeling environment (IN-CORE) (2023), Resilient Cities and Structures
  • Investigation of multivariate seismic surrogate demand modeling for multi-response structural systems (2020), Engineering Structures
  • Metamodel-Based Seismic Fragility Analysis of Concrete Gravity Dams (2020), Journal of Structural Engineering
  • Accessibility and Recovery Assessment of Houston's Roadway Network due to Fluvial Flooding during Hurricane Harvey (2020), Natural Hazards Review

Frequently collaborating with other researchers, Jamie E. Padgett's notable coauthors include:

  • Pranavesh Panakkal
  • Yazhou Xie
  • Philip B. Bedient
  • Catalina González-Dueñas
  • Ao Du

They have published repeatedly in several venues that are prominent in the fields of earthquake engineering, structural engineering, and natural hazards. These venues include:

  • Earthquake Spectra
  • Journal of Structural Engineering
  • Frontiers in Built Environment
  • Natural Hazards Review
  • Earthquake Engineering & Structural Dynamics

Their studies span multiple subfields, with strong emphasis on civil and structural engineering, as well as atmospheric science, environmental engineering, and the analysis of global and planetary changes.

Key research topics that characterize their work include:

  • Infrastructure Resilience and Vulnerability Analysis
  • Seismic Performance and Analysis
  • Tropical and Extratropical Cyclones Research
  • Structural Health Monitoring Techniques
  • Flood Risk Assessment and Management
  • Disaster Management and Resilience
  • Coastal and Marine Dynamics

Through these areas, their work contributes to understanding and modeling the resilience and performance of infrastructure systems facing natural hazards such as earthquakes, floods, and tropical cyclones.

Best Publications

  • Selection of optimal intensity measures in probabilistic seismic demand models of highway bridge portfolios

    Jamie E. Padgett;Bryant G. Nielson;Reginald DesRoches

  • Methodology for the development of analytical fragility curves for retrofitted bridges

    Jamie E. Padgett;Reginald DesRoches

  • Aging Considerations in the Development of Time-Dependent Seismic Fragility Curves

    Jayadipta Ghosh;Jamie E. Padgett

  • The promise of implementing machine learning in earthquake engineering: A state-of-the-art review

    Yazhou Xie;Majid Ebad Sichani;Jamie E Padgett;Reginald DesRoches

  • DesignSafe: New Cyberinfrastructure for Natural Hazards Engineering

    Ellen M. Rathje;Clint Dawson;Jamie E. Padgett;Jean-Paul Pinelli

  • Bridge Damage and Repair Costs from Hurricane Katrina

    Jamie Ellen Padgett;Reginald DesRoches;Bryant G Nielson;Mark Yashinsky

  • Risk-based seismic life-cycle cost–benefit (LCC-B) analysis for bridge retrofit assessment

    Jamie E. Padgett;Kristina Dennemann;Jayadipta Ghosh

  • Multi-hazard risk assessment of highway bridges subjected to earthquake and hurricane hazards

    Sabarethinam Kameshwar;Jamie E. Padgett

  • Sensitivity of Seismic Response and Fragility to Parameter Uncertainty

    Jamie Ellen Padgett;Jamie Ellen Padgett;Reginald DesRoches;Reginald DesRoches

  • Bridge Functionality Relationships for Improved Seismic Risk Assessment of Transportation Networks

    Jamie E. Padgett;Reginald DesRoches

  • Multiple-Hazard Fragility and Restoration Models of Highway Bridges for Regional Risk and Resilience Assessment in the United States: State-of-the-Art Review

    Ioannis Gidaris;Jamie E. Padgett;Andre R. Barbosa;Suren Chen

  • Surrogate modeling and failure surface visualization for efficient seismic vulnerability assessment of highway bridges

    Jayadipta Ghosh;Jamie E. Padgett;Leonardo Dueñas-Osorio

  • Fragility curves of typical as-built highway bridges in eastern Canada

    Danusa H. Tavares;Jamie E. Padgett;Patrick Paultre

  • Retrofitted Bridge Fragility Analysis for Typical Classes of Multispan Bridges

    Jamie E. Padgett;Reginald DesRoches

  • Temporal evolution of seismic fragility curves for concrete box-girder bridges in California

    Karthik Ramanathan;Jamie E. Padgett;Reginald DesRoches

  • Influence of scour effects on the seismic response of reinforced concrete bridges

    Zhenghua Wang;Leonardo Dueñas-Osorio;Jamie E. Padgett

  • Seismic Vulnerability Assessment of Retrofitted Bridges Using Probabilistic Methods

    Jamie Ellen Padgett

  • A comparison of pre- and post-seismic design considerations in moderate seismic zones through the fragility assessment of multispan bridge classes

    Karthik Ramanathan;Reginald DesRoches;Jamie E. Padgett

  • Fractional order intensity measures for probabilistic seismic demand modeling applied to highway bridges

    Abdollah Shafieezadeh;Karthik Ramanathan;Jamie E. Padgett;Reginald DesRoches

  • Large scale testing of nitinol shape memory alloy devices for retrofitting of bridges

    Rita Johnson;Jamie E Padgett;M Emmanuel Maragakis;Reginald DesRoches

Frequent Co-Authors

Reginald DesRoches
Reginald DesRoches Rice University
Patrick Paultre
Patrick Paultre Université de Sherbrooke
Laura N. Lowes
Laura N. Lowes University of Washington
Jong-Su Jeon
Jong-Su Jeon Hanyang University
Ellen M. Rathje
Ellen M. Rathje The University of Texas at Austin
Clint Dawson
Clint Dawson The University of Texas at Austin
Daniel T. Cox
Daniel T. Cox Oregon State University
Mahmud Ashraf
Mahmud Ashraf Deakin University
Amr S. Elnashai
Amr S. Elnashai University of Houston

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