Hurricane Damage Prediction Model for Residential Structures PDF Download
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Author: Jean-Paul Pinelli
Publisher:
ISBN:
Category :
Languages : en
Pages : 7
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Author: Jean-Paul Pinelli
Publisher:
ISBN:
Category :
Languages : en
Pages : 7
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Author: Anne D. Cope
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ISBN:
Category :
Languages : en
Pages :
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The core of this model is a Monte Carlo Simulation engine that generates damage information for typical Florida homes, using a component approach. The simulation compares deterministic wind loads, and the probabilistic capacity of vulnerable building components to resist these loads, to determine the probability of damage. In this manner, probabilistic structural damage is identified over a range of assigned wind speeds. Monetary loss associated with structural damage and the likelihood of occurrence for discrete wind speeds will be determined by models under development by other groups in the project.
Author: Timothy James Johnson
Publisher:
ISBN:
Category :
Languages : en
Pages : 454
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Book Description
Catastrophe modelers are responsible for estimating and predicting expected physical and monetary building losses under extreme uncertainty. In the case of hurricanes, interior damage might represent the majority of the repair bill so accurate estimates of the interior damage are paramount to a reliable predictive model. Recent studies have shown that wind-driven rain (WDR) is the predominant source of interior related losses even in the absence of visible exterior physical damage. Significant strides have been made in quantifying the external WDR deposition characteristics during hurricane events, and in identifying sources of WDR intrusion through the building envelope. Recent laboratory tests have measured the so-called rain admittance factor (which quantifies the direct impinging rain) and surface runoff coefficients (which quantify the rain surface run-oft) on buildings subjected to hurricane winds and rain. In addition, post-disaster reconnaissance surveys, following hurricanes landfalls in Florida, have shown that soffits are an important source of water penetration, which is not always specifically taken into account in current vulnerability models. Follow-up laboratory tests have measured the amount of the water penetrating through certain types of soffits. These issues of water intrusion are compounded by the fact that a hurricane rotates around any particular building. Therefore the amount of horizontal rain exposure and penetration on any particular facade or component of the building envelope will vary in time as the storm rotates, while the components go from windward to leeward exposure or vice-versa. This dissertation addresses these issues. First, a new vulnerability model for the soffit incorporates experimental data on soffit rain penetration. Second, a new method captures the effect of the storm rotation on the rain deposition and penetration, which is essentially time dependent, into an existing vulnerability model, which simulates both pressure and debris induced envelope breaches but without an explicit time component. Third, a new interior vulnerability model incorporates the new experimental data on building envelope rain deposition and surface runoff. The model succeeds in evaluating the total volume of water penetration though both defects and breaches of the envelope (including soffits), which is then transformed into interior damage. Several implementation strategies were investigated, and the final version was incorporated into version 6.1 of the Florida Public Hurricane Loss Model. This work emphasizes the critical role WDR plays in interior damage as well as provides insights into future mitigation strategies with regard to WDR management.
Author: Johann Everton Weekes
Publisher:
ISBN:
Category :
Languages : en
Pages : 204
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Book Description
Hurricane impacts have caused significant damage to residential and commercial structures, producing billions of dollars in insured losses. Numerical models are widely used by insurance companies in the prediction of loss cost. Several such loss projection models have been developed by private industry, and the State of Florida sponsored development of a non-proprietary hurricane loss model, known as the Florida Public Hurricane Loss Model (FPHLM). This model resulted from a multi-university effort to quantify the damages and cost of repairs for structures that have been subjected to hurricane force winds. The original FPHLM focused on single-family residential housing. The model is now extended to cover commercial-residential buildings ranging from multi-story apartments to the high rise condominiums typically found lining the beaches of South Florida. This paper proposal focuses on the development of the exterior vulnerability component of the commercial-residential model, and provides a description of the strategies to probabilistically quantify physical exterior damage for two models: low-rise and mid/high rise commercial-residential structures.
Author: Fang Pan
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ISBN:
Category :
Languages : en
Pages :
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Author: Jon K. Ayscue
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Category : Buildings
Languages : en
Pages : 47
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Property damage and loss from hurricanes have increased with population growth in coastal areas, and climatic factors point to more frequent and intense hurricanes in the future. This paper describes potential hurricane hazards from wind and water. Damage to residential structures from three recent intense hurricanes - Hugo, Andrew, and Iniki - shows that wind is responsible for greater property loss than water. The current state-of-the-art building technology is sufficient to reduce damage from hurricanes when properly applied, and this paper discusses those building techniques that can mitigate hurricane damage and recommends measures for mitigating future hurricane damage to homes.
Author: Jon K. Ayscue
Publisher:
ISBN:
Category : Buildings
Languages : en
Pages : 0
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Book Description
Property damage and loss from hurricanes have increased with population growth in coastal areas, and climatic factors point to more frequent and intense hurricanes in the future. This paper describes potential hurricane hazards from wind and water. Damage to residential structures from three recent intense hurricanes - Hugo, Andrew, and Iniki - shows that wind is responsible for greater property loss than water. The current state-of-the-art building technology is sufficient to reduce damage from hurricanes when properly applied, and this paper discusses those building techniques that can mitigate hurricane damage and recommends measures for mitigating future hurricane damage to homes.
Author: Dezhi Liao
Publisher:
ISBN: 9781109950007
Category :
Languages : en
Pages : 131
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Book Description
This research provides realistic techniques to visualize the process of damage to residential building caused by hurricane force winds. Three methods are implemented to make the visualization useful for educating the public about mitigation measures for their homes. First, the underline physics uses Quick Collision Response Calculation. This is an iterative method, which can tune the accuracy and the performance to calculate collision response between building components. Secondly, the damage process is designed as a Time-scalable Process. By attaching a damage time tag for each building component, the visualization process is treated as a geometry animation allowing users to navigate in the visualization. The detached building components move in response to the wind force that is calculated using qualitative rather than quantitative techniques. The results are acceptable for instructional systems but not for engineering analysis. Quick Damage Prediction is achieved by using a database query instead of using a Monte-Carlo simulation. The database is based on HAZUSRTM engineering analysis data which gives it validity. A reasoning mechanism based on the definition of the overall building damage in HAZUSRTM is used to determine the damage state of selected building components including roof cover, roof sheathing, wall, openings and roof-wall connections. Exposure settings of environmental aspects of the simulated environment, such as ocean, trees, cloud and rain are integrated into a scene-graph based graphics engine. Based on the graphics engine and the physics engine, a procedural modeling method is used to efficiently render residential buildings. The resulting program, Hurricane!, is an instructional program for public education useful in schools and museum exhibits.
Author: Norris Stubbs
Publisher:
ISBN:
Category : Building, Stormproof
Languages : en
Pages : 55
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Author: Juan Antonio Balderrama Garcia Mendez
Publisher:
ISBN:
Category :
Languages : en
Pages :
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The research presented in this thesis contributes to the development of a probabilistic model that fulfills this goal. The main component of the model is a Monte Carlo Simulation engine that samples component capacities, the loads they sustain, and predicts their probability of damage. The damage estimates calculated by these models will be used to predict interior building damage and finally monetary losses.
