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School of Civil and Environmental Engineering
Oklahoma State University
Research
Ground Motion Selection for Analysis of Near-Fault Civil Structures using Broadband Physics-Based Earthquake Simulations
Funded by: United States Geological Survey (Award No. G22AP00380)
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
Remote Sensing-Informed Non-Stationary Risk Assessment of Electric Transmission Infrastructure against Atmospheric Rivers
The goal of this project is to create and implement a multi-hazard risk assessment framework which integrates high-resolution remote-sensing site-specific and structure-specific data with physics-based simulations to identify the vulnerabilities of the primary components of electric transmission infrastructure to the compounding effects of atmospheric rivers events, including wind-induced loading, and atmospheric river-induced landslides.
Prediction of Ground Shaking and Aftershock Phenomena and Impacts using Adaptive Design of High-Fidelity Earthquake Simulations
We integrate machine-learning surrogate models and adaptive experimental design methods with high-fidelity high-performance-computing-enabled earthquake simulations to accelerate regional-scale simulation-based assessment of earthquake consequences, and explore the compounding effects due to aftershocks.
Prediction of Damage Mechanisms and Extreme Limit States in Reinforced Concrete Structures subjected to dynamic loading conditions
The nonlocal continuum theory is used to develop new frame finite element models and constitutive models for reinforced concrete to enable the prediction of the nonlinear and degrading behavior of reinforced concrete structures under extreme dynamic loading conditions.
Ground Motion Selection for Analysis of Near-Fault Civil Structures using Broadband Physics-Based Earthquake Simulations
Funded by: United States Geological Survey (Award No. G22AP00380)
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
Remote Sensing-Informed Non-Stationary Risk Assessment of Electric Transmission Infrastructure against Atmospheric Rivers
The goal of this project is to create and implement a multi-hazard risk assessment framework which integrates high-resolution remote-sensing site-specific and structure-specific data with physics-based simulations to identify the vulnerabilities of the primary components of electric transmission infrastructure to the compounding effects of atmospheric rivers events, including wind-induced loading, and atmospheric river-induced landslides.
Prediction of Ground Shaking and Aftershock Phenomena and Impacts using Adaptive Design of High-Fidelity Earthquake Simulations
We integrate machine-learning surrogate models and adaptive experimental design methods with high-fidelity high-performance-computing-enabled earthquake simulations to accelerate regional-scale simulation-based assessment of earthquake consequences, and explore the compounding effects due to aftershocks.
Prediction of Damage Mechanisms and Extreme Limit States in Reinforced Concrete Structures subjected to dynamic loading conditions
The nonlocal continuum theory is used to develop new frame finite element models and constitutive models for reinforced concrete to enable the prediction of the nonlinear and degrading behavior of reinforced concrete structures under extreme dynamic loading conditions.
Ground Motion Selection for Analysis of Near-Fault Civil Structures using Broadband Physics-Based Earthquake Simulations
Funded by: United States Geological Survey (Award No. G22AP00380)
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
Remote Sensing-Informed Non-Stationary Risk Assessment of Electric Transmission Infrastructure against Atmospheric Rivers
The goal of this project is to create and implement a multi-hazard risk assessment framework which integrates high-resolution remote-sensing site-specific and structure-specific data with physics-based simulations to identify the vulnerabilities of the primary components of electric transmission infrastructure to the compounding effects of atmospheric rivers events, including wind-induced loading, and atmospheric river-induced landslides.
Prediction of Ground Shaking and Aftershock Phenomena and Impacts using Adaptive Design of High-Fidelity Earthquake Simulations
We integrate machine-learning surrogate models and adaptive experimental design methods with high-fidelity high-performance-computing-enabled earthquake simulations to accelerate regional-scale simulation-based assessment of earthquake consequences, and explore the compounding effects due to aftershocks.
Prediction of Damage Mechanisms and Extreme Limit States in Reinforced Concrete Structures subjected to dynamic loading conditions
The nonlocal continuum theory is used to develop new frame finite element models and constitutive models for reinforced concrete to enable the prediction of the nonlinear and degrading behavior of reinforced concrete structures under extreme dynamic loading conditions.
Ground Motion Selection for Analysis of Near-Fault Civil Structures using Broadband Physics-Based Earthquake Simulations
Funded by: United States Geological Survey (Award No. G22AP00380)
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
Remote Sensing-Informed Non-Stationary Risk Assessment of Electric Transmission Infrastructure against Atmospheric Rivers
The goal of this project is to create and implement a multi-hazard risk assessment framework which integrates high-resolution remote-sensing site-specific and structure-specific data with physics-based simulations to identify the vulnerabilities of the primary components of electric transmission infrastructure to the compounding effects of atmospheric rivers events, including wind-induced loading, and atmospheric river-induced landslides.
Prediction of Ground Shaking and Aftershock Phenomena and Impacts using Adaptive Design of High-Fidelity Earthquake Simulations
We integrate machine-learning surrogate models and adaptive experimental design methods with high-fidelity high-performance-computing-enabled earthquake simulations to accelerate regional-scale simulation-based assessment of earthquake consequences, and explore the compounding effects due to aftershocks.
Prediction of Damage Mechanisms and Extreme Limit States in Reinforced Concrete Structures subjected to dynamic loading conditions
The nonlocal continuum theory is used to develop new frame finite element models and constitutive models for reinforced concrete to enable the prediction of the nonlinear and degrading behavior of reinforced concrete structures under extreme dynamic loading conditions.
Ground Motion Selection for Analysis of Near-Fault Civil Structures using Broadband Physics-Based Earthquake Simulations
Funded by: United States Geological Survey (Award No. G22AP00380)
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
Remote Sensing-Informed Non-Stationary Risk Assessment of Electric Transmission Infrastructure against Atmospheric Rivers
The goal of this project is to create and implement a multi-hazard risk assessment framework which integrates high-resolution remote-sensing site-specific and structure-specific data with physics-based simulations to identify the vulnerabilities of the primary components of electric transmission infrastructure to the compounding effects of atmospheric rivers events, including wind-induced loading, and atmospheric river-induced landslides.
Prediction of Ground Shaking and Aftershock Phenomena and Impacts using Adaptive Design of High-Fidelity Earthquake Simulations
We integrate machine-learning surrogate models and adaptive experimental design methods with high-fidelity high-performance-computing-enabled earthquake simulations to accelerate regional-scale simulation-based assessment of earthquake consequences, and explore the compounding effects due to aftershocks.
Prediction of Damage Mechanisms and Extreme Limit States in Reinforced Concrete Structures subjected to dynamic loading conditions
The nonlocal continuum theory is used to develop new frame finite element models and constitutive models for reinforced concrete to enable the prediction of the nonlinear and degrading behavior of reinforced concrete structures under extreme dynamic loading conditions.
Ground Motion Selection for Analysis of Near-Fault Civil Structures using Broadband Physics-Based Earthquake Simulations
Funded by: United States Geological Survey (Award No. G22AP00380)
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
Remote Sensing-Informed Non-Stationary Risk Assessment of Electric Transmission Infrastructure against Atmospheric Rivers
The goal of this project is to create and implement a multi-hazard risk assessment framework which integrates high-resolution remote-sensing site-specific and structure-specific data with physics-based simulations to identify the vulnerabilities of the primary components of electric transmission infrastructure to the compounding effects of atmospheric rivers events, including wind-induced loading, and atmospheric river-induced landslides.
Prediction of Ground Shaking and Aftershock Phenomena and Impacts using Adaptive Design of High-Fidelity Earthquake Simulations
We integrate machine-learning surrogate models and adaptive experimental design methods with high-fidelity high-performance-computing-enabled earthquake simulations to accelerate regional-scale simulation-based assessment of earthquake consequences, and explore the compounding effects due to aftershocks.
Prediction of Damage Mechanisms and Extreme Limit States in Reinforced Concrete Structures subjected to dynamic loading conditions
The nonlocal continuum theory is used to develop new frame finite element models and constitutive models for reinforced concrete to enable the prediction of the nonlinear and degrading behavior of reinforced concrete structures under extreme dynamic loading conditions.
Ground Motion Selection for Analysis of Near-Fault Civil Structures using Broadband Physics-Based Earthquake Simulations
Funded by: United States Geological Survey (Award No. G22AP00380)
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
Remote Sensing-Informed Non-Stationary Risk Assessment of Electric Transmission Infrastructure against Atmospheric Rivers
The goal of this project is to create and implement a multi-hazard risk assessment framework which integrates high-resolution remote-sensing site-specific and structure-specific data with physics-based simulations to identify the vulnerabilities of the primary components of electric transmission infrastructure to the compounding effects of atmospheric rivers events, including wind-induced loading, and atmospheric river-induced landslides.
Prediction of Ground Shaking and Aftershock Phenomena and Impacts using Adaptive Design of High-Fidelity Earthquake Simulations
We integrate machine-learning surrogate models and adaptive experimental design methods with high-fidelity high-performance-computing-enabled earthquake simulations to accelerate regional-scale simulation-based assessment of earthquake consequences, and explore the compounding effects due to aftershocks.
Prediction of Damage Mechanisms and Extreme Limit States in Reinforced Concrete Structures subjected to dynamic loading conditions
The nonlocal continuum theory is used to develop new frame finite element models and constitutive models for reinforced concrete to enable the prediction of the nonlinear and degrading behavior of reinforced concrete structures under extreme dynamic loading conditions.
Ground Motion Selection for Analysis of Near-Fault Civil Structures using Broadband Physics-Based Earthquake Simulations
Funded by: United States Geological Survey (Award No. G22AP00380)
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
This work explores the use of physics-based fault rupture simulations to improve the seismic analysis and design of near-fault structures which may be vulnerable to large and rare earthquake events.
Remote Sensing-Informed Non-Stationary Risk Assessment of Electric Transmission Infrastructure against Atmospheric Rivers
The goal of this project is to create and implement a multi-hazard risk assessment framework which integrates high-resolution remote-sensing site-specific and structure-specific data with physics-based simulations to identify the vulnerabilities of the primary components of electric transmission infrastructure to the compounding effects of atmospheric rivers events, including wind-induced loading, and atmospheric river-induced landslides.
Prediction of Ground Shaking and Aftershock Phenomena and Impacts using Adaptive Design of High-Fidelity Earthquake Simulations
We integrate machine-learning surrogate models and adaptive experimental design methods with high-fidelity high-performance-computing-enabled earthquake simulations to accelerate regional-scale simulation-based assessment of earthquake consequences, and explore the compounding effects due to aftershocks.
Prediction of Damage Mechanisms and Extreme Limit States in Reinforced Concrete Structures subjected to dynamic loading conditions
The nonlocal continuum theory is used to develop new frame finite element models and constitutive models for reinforced concrete to enable the prediction of the nonlinear and degrading behavior of reinforced concrete structures under extreme dynamic loading conditions.
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