The Experts below are selected from a list of 10290 Experts worldwide ranked by ideXlab platform
David V. Rosowsky - One of the best experts on this subject based on the ideXlab platform.
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joint probabilistic wind rainfall model for tropical cyclone Hazard Characterization
Journal of Structural Engineering-asce, 2017Co-Authors: Lauren Mudd, David V. Rosowsky, Chris Letchford, Frank LombardoAbstract:AbstractOften, rainfall-induced flooding has been the greatest factor influencing property loss and loss of life in major tropical cyclone events. However, a lack of an extensive historical rainfall record has long served as an obstacle to furthering the understanding of tropical cyclone–related rainfall. Advances have been made in the last few decades in rainfall observational techniques, allowing for the development of robust statistical tropical cyclone rainfall models. However, these current models are unable to capture statistical variability in rainfall intensities (i.e., only mean rainfall rates can be predicted) or they cannot simulate rainfall over land. A new tropical cyclone rainfall model is developed herein using satellite rainfall observations, in which the tropical cyclone rainfall is modeled through a Weibull distribution conditioned upon maximum surface wind speed and sea surface temperature (SST). Satellites are able to capture rainfall observations in the most extreme events, unlike sur...
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Joint Probabilistic Wind–Rainfall Model for Tropical Cyclone Hazard Characterization
Journal of Structural Engineering, 2017Co-Authors: Lauren Mudd, David V. Rosowsky, Chris Letchford, Frank LombardoAbstract:AbstractOften, rainfall-induced flooding has been the greatest factor influencing property loss and loss of life in major tropical cyclone events. However, a lack of an extensive historical rainfall record has long served as an obstacle to furthering the understanding of tropical cyclone–related rainfall. Advances have been made in the last few decades in rainfall observational techniques, allowing for the development of robust statistical tropical cyclone rainfall models. However, these current models are unable to capture statistical variability in rainfall intensities (i.e., only mean rainfall rates can be predicted) or they cannot simulate rainfall over land. A new tropical cyclone rainfall model is developed herein using satellite rainfall observations, in which the tropical cyclone rainfall is modeled through a Weibull distribution conditioned upon maximum surface wind speed and sea surface temperature (SST). Satellites are able to capture rainfall observations in the most extreme events, unlike sur...
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joint earthquake snow Hazard Characterization and fragility analysis of wood frame structures
Journal of Structural Engineering-asce, 2016Co-Authors: Yue Wang, David V. RosowskyAbstract:AbstractThis paper presents a study to statistically characterize the joint earthquake–snow Hazard and subsequently develop maximum interstory drift fragility curves for a series of archetype engineered light-frame wood structures. Of particular focus are structures built in moderate-seismic, heavy-snow regions. For these light-frame structures, the additional seismic mass due to the presence of roof snow may be significant. Although load standards such as ASCE 7 provide guidance on combining design loads when considering life safety (e.g., flexural and shear limit states), guidance is not yet available for other performance levels (limit states with specified nonexceedance probabilities), performance (rather than safety) based limit states or damage indicators (e.g., maximum interstory drift), and Hazard levels other than those implied in life safety design (e.g., 2%/50 years). All of these are expected to become more relevant as performance-based design procedures continue to evolve and gain acceptance...
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Joint Earthquake–Snow Hazard Characterization and Fragility Analysis of Wood-Frame Structures
Journal of Structural Engineering-asce, 2016Co-Authors: Yue Wang, David V. RosowskyAbstract:AbstractThis paper presents a study to statistically characterize the joint earthquake–snow Hazard and subsequently develop maximum interstory drift fragility curves for a series of archetype engineered light-frame wood structures. Of particular focus are structures built in moderate-seismic, heavy-snow regions. For these light-frame structures, the additional seismic mass due to the presence of roof snow may be significant. Although load standards such as ASCE 7 provide guidance on combining design loads when considering life safety (e.g., flexural and shear limit states), guidance is not yet available for other performance levels (limit states with specified nonexceedance probabilities), performance (rather than safety) based limit states or damage indicators (e.g., maximum interstory drift), and Hazard levels other than those implied in life safety design (e.g., 2%/50 years). All of these are expected to become more relevant as performance-based design procedures continue to evolve and gain acceptance...
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Joint Wind-Snow Hazard Characterization for Reduced Reference Periods
Journal of Performance of Constructed Facilities, 2014Co-Authors: David V. Rosowsky, Yue WangAbstract:AbstractThe joint behavior of snow and wind actions on structures becomes relevant for design in many regions of North America. With trends toward performance-based design for loads/actions arising from natural Hazards, information is needed on both individual and joint Hazards, e.g., at different Hazard levels, exceedance probabilities, or mean recurrence intervals. The writers have developed one approach for two Hazards that can be well modeled by sparse processes and have also developed recommendations for joint Hazard Characterization for the case of a full (e.g., 50 years) design life. The present paper shows how these findings can be extended to provide useful information for joint Hazard Characterization in shorter reference periods. This can be useful, for example, in the design (single or multiobjective) of formwork or other temporary structures in high wind/snow regions.
Yue Wang - One of the best experts on this subject based on the ideXlab platform.
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joint earthquake snow Hazard Characterization and fragility analysis of wood frame structures
Journal of Structural Engineering-asce, 2016Co-Authors: Yue Wang, David V. RosowskyAbstract:AbstractThis paper presents a study to statistically characterize the joint earthquake–snow Hazard and subsequently develop maximum interstory drift fragility curves for a series of archetype engineered light-frame wood structures. Of particular focus are structures built in moderate-seismic, heavy-snow regions. For these light-frame structures, the additional seismic mass due to the presence of roof snow may be significant. Although load standards such as ASCE 7 provide guidance on combining design loads when considering life safety (e.g., flexural and shear limit states), guidance is not yet available for other performance levels (limit states with specified nonexceedance probabilities), performance (rather than safety) based limit states or damage indicators (e.g., maximum interstory drift), and Hazard levels other than those implied in life safety design (e.g., 2%/50 years). All of these are expected to become more relevant as performance-based design procedures continue to evolve and gain acceptance...
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Joint Earthquake–Snow Hazard Characterization and Fragility Analysis of Wood-Frame Structures
Journal of Structural Engineering-asce, 2016Co-Authors: Yue Wang, David V. RosowskyAbstract:AbstractThis paper presents a study to statistically characterize the joint earthquake–snow Hazard and subsequently develop maximum interstory drift fragility curves for a series of archetype engineered light-frame wood structures. Of particular focus are structures built in moderate-seismic, heavy-snow regions. For these light-frame structures, the additional seismic mass due to the presence of roof snow may be significant. Although load standards such as ASCE 7 provide guidance on combining design loads when considering life safety (e.g., flexural and shear limit states), guidance is not yet available for other performance levels (limit states with specified nonexceedance probabilities), performance (rather than safety) based limit states or damage indicators (e.g., maximum interstory drift), and Hazard levels other than those implied in life safety design (e.g., 2%/50 years). All of these are expected to become more relevant as performance-based design procedures continue to evolve and gain acceptance...
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Joint Wind-Snow Hazard Characterization for Reduced Reference Periods
Journal of Performance of Constructed Facilities, 2014Co-Authors: David V. Rosowsky, Yue WangAbstract:AbstractThe joint behavior of snow and wind actions on structures becomes relevant for design in many regions of North America. With trends toward performance-based design for loads/actions arising from natural Hazards, information is needed on both individual and joint Hazards, e.g., at different Hazard levels, exceedance probabilities, or mean recurrence intervals. The writers have developed one approach for two Hazards that can be well modeled by sparse processes and have also developed recommendations for joint Hazard Characterization for the case of a full (e.g., 50 years) design life. The present paper shows how these findings can be extended to provide useful information for joint Hazard Characterization in shorter reference periods. This can be useful, for example, in the design (single or multiobjective) of formwork or other temporary structures in high wind/snow regions.
Frank Lombardo - One of the best experts on this subject based on the ideXlab platform.
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joint probabilistic wind rainfall model for tropical cyclone Hazard Characterization
Journal of Structural Engineering-asce, 2017Co-Authors: Lauren Mudd, David V. Rosowsky, Chris Letchford, Frank LombardoAbstract:AbstractOften, rainfall-induced flooding has been the greatest factor influencing property loss and loss of life in major tropical cyclone events. However, a lack of an extensive historical rainfall record has long served as an obstacle to furthering the understanding of tropical cyclone–related rainfall. Advances have been made in the last few decades in rainfall observational techniques, allowing for the development of robust statistical tropical cyclone rainfall models. However, these current models are unable to capture statistical variability in rainfall intensities (i.e., only mean rainfall rates can be predicted) or they cannot simulate rainfall over land. A new tropical cyclone rainfall model is developed herein using satellite rainfall observations, in which the tropical cyclone rainfall is modeled through a Weibull distribution conditioned upon maximum surface wind speed and sea surface temperature (SST). Satellites are able to capture rainfall observations in the most extreme events, unlike sur...
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Joint Probabilistic Wind–Rainfall Model for Tropical Cyclone Hazard Characterization
Journal of Structural Engineering, 2017Co-Authors: Lauren Mudd, David V. Rosowsky, Chris Letchford, Frank LombardoAbstract:AbstractOften, rainfall-induced flooding has been the greatest factor influencing property loss and loss of life in major tropical cyclone events. However, a lack of an extensive historical rainfall record has long served as an obstacle to furthering the understanding of tropical cyclone–related rainfall. Advances have been made in the last few decades in rainfall observational techniques, allowing for the development of robust statistical tropical cyclone rainfall models. However, these current models are unable to capture statistical variability in rainfall intensities (i.e., only mean rainfall rates can be predicted) or they cannot simulate rainfall over land. A new tropical cyclone rainfall model is developed herein using satellite rainfall observations, in which the tropical cyclone rainfall is modeled through a Weibull distribution conditioned upon maximum surface wind speed and sea surface temperature (SST). Satellites are able to capture rainfall observations in the most extreme events, unlike sur...
Lauren Mudd - One of the best experts on this subject based on the ideXlab platform.
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joint probabilistic wind rainfall model for tropical cyclone Hazard Characterization
Journal of Structural Engineering-asce, 2017Co-Authors: Lauren Mudd, David V. Rosowsky, Chris Letchford, Frank LombardoAbstract:AbstractOften, rainfall-induced flooding has been the greatest factor influencing property loss and loss of life in major tropical cyclone events. However, a lack of an extensive historical rainfall record has long served as an obstacle to furthering the understanding of tropical cyclone–related rainfall. Advances have been made in the last few decades in rainfall observational techniques, allowing for the development of robust statistical tropical cyclone rainfall models. However, these current models are unable to capture statistical variability in rainfall intensities (i.e., only mean rainfall rates can be predicted) or they cannot simulate rainfall over land. A new tropical cyclone rainfall model is developed herein using satellite rainfall observations, in which the tropical cyclone rainfall is modeled through a Weibull distribution conditioned upon maximum surface wind speed and sea surface temperature (SST). Satellites are able to capture rainfall observations in the most extreme events, unlike sur...
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Joint Probabilistic Wind–Rainfall Model for Tropical Cyclone Hazard Characterization
Journal of Structural Engineering, 2017Co-Authors: Lauren Mudd, David V. Rosowsky, Chris Letchford, Frank LombardoAbstract:AbstractOften, rainfall-induced flooding has been the greatest factor influencing property loss and loss of life in major tropical cyclone events. However, a lack of an extensive historical rainfall record has long served as an obstacle to furthering the understanding of tropical cyclone–related rainfall. Advances have been made in the last few decades in rainfall observational techniques, allowing for the development of robust statistical tropical cyclone rainfall models. However, these current models are unable to capture statistical variability in rainfall intensities (i.e., only mean rainfall rates can be predicted) or they cannot simulate rainfall over land. A new tropical cyclone rainfall model is developed herein using satellite rainfall observations, in which the tropical cyclone rainfall is modeled through a Weibull distribution conditioned upon maximum surface wind speed and sea surface temperature (SST). Satellites are able to capture rainfall observations in the most extreme events, unlike sur...
Andreas Hensel - One of the best experts on this subject based on the ideXlab platform.
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Management recommendations of the Federal Institute for Risk Assessment (BfR) after the international BfR symposium "Towards a Risk Analysis of Antibiotic Resistance".
International Journal of Medical Microbiology, 2006Co-Authors: Reiner Helmuth, Andreas HenselAbstract:The results of four expert working groups on the risk analysis process on antimicrobial resistance are described. They focus on the procedures recommended by the FAO/WHO CODEX Alimentarius Commission in 1999 including Hazard identification, Hazard Characterization, exposure assessment and risk Characterization. In all four areas, the current scientific knowledge was evaluated and recommendations for risk management options were given. They will form the basis for mitigating the health risk due to resistant microorganisms.
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Towards the Rational Use of Antibiotics: Results of the First International Symposium on the Risk Analysis of Antibiotic Resistance
Journal of veterinary medicine. B Infectious diseases and veterinary public health, 2004Co-Authors: Reiner Helmuth, Andreas HenselAbstract:The results of four expert working groups on the risk analysis process on anti-microbial resistance are described. They focus on the procedure recommended by the FAO/WHO CODEX Alimentarius Commission in 1999 including Hazard identification, Hazard Characterization, exposure assessment and risk Characterization. In all four areas, the current scientific knowledge was evaluated and recommendations for risk management options were given. They will form the basis for mitigating the health risk caused by resistant micro-organisms.