Wind Performance Enhancement Strategies for Residential Wood-Frame Buildings

Masoomi, Hassan; Ameri, Mohammad Reza; Lindt, John W. van de

doi:10.1061/(asce)cf.1943-5509.0001172

Cited by 48 publications

(16 citation statements)

References 24 publications

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“…Wind loads mainly impact the building envelop including walls sheathing and framing, roof sheathing and framing, doors, and windows. The behavior of these components controls the damage state (DS) of buildings subjected to wind loads as described herein [9,13,22,23]. However, the most vulnerable building component is the exterior components.…”

Section: Problem Characterizationmentioning

confidence: 99%

“…It is a one-story single-family wood residential building with a small rectangular plan of (15.3m × 6.9m) with a total area of 105 m2 (1130 ft2). The readers are referred to these articles [8,22] for more details about the statistical parameters for the resistance of this archetype. Fig.…”

Section: Structure Definition and Numerical Modelsmentioning

confidence: 99%

“…Several probabilistic analyses of the wind load im-pacts on building and infrastructure were investigated in the literature including wind hazard induced by tornados [13][14][15] and hurricanes [16][17][18][19]. Additionally, multiple numerical and experimental studies in the literature focus on propagating uncertainties in wind damage models using fragility functions to describe the probabilistic performance of buildings and infra-structure [9,13,[20][21][22][23]. Most all of these functions are using Monte Carlo simulation (MCS) to propagate uncertainties in the wind demand and capacity parameters based on a specific number of simulations.…”

Section: Introductionmentioning

confidence: 99%

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Stochastic Modeling of Uncertainties in the Wind Load Pressure on Residential Buildings Using Different Stochastic Techniques

Nofal¹

2020

CTCSE

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Section: Problem Characterizationmentioning

confidence: 99%

Section: Structure Definition and Numerical Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Stochastic Modeling of Uncertainties in the Wind Load Pressure on Residential Buildings Using Different Stochastic Techniques

Nofal¹

2020

CTCSE

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“…Relevant literature on wind analysis of structures also includes shape optimisation of arch bridges considering statically equivalent wind load and construction stages [10]. Many construction works around the world are damaged because they have not been properly designed to resist the high wind loadings which occur in extreme events [11,12]. Among many Asian countries heavily affected by devastating typhoons, Vietnam is one of the most social and economic vulnerable nations [13].…”

Section: Introductionmentioning

confidence: 99%

Reliability-Based Assessment of Galloping Instability of Thin-Walled Steel Beams

Nguyen

2022

Civil and Environmental Engineering Reports

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Galloping instability relating to cross-wind vibrations can be found in flexible and lightly damped structures. In the present paper, the reliability of a thin-walled steel beam in maintaining its galloping stability was examined using a probabilistic approach. The analysis considered random variation in the cross-sectional geometrical properties of the beam, the material elastic modulus, the structural damping and the wind speed. A large number of Monte Carlo simulations were performed with normal and Gumbel distributions applied to the random variables to determine the probability distribution function of the safety margin. The limit state is considered violated when the wind speed exceeds the onset wind velocity of galloping, resulting in the aerodynamic damping being greater than the structural damping. It was shown by a conventional codified safety factor method that the beam was robust enough for galloping stability. By contrast, the probability-based assessment revealed that the beam failed to achieve the target reliability index in case the coefficient of variation of wind speed was greater than 5%. The analysis results suggested that the code-satisfied slenderness of the beam should be reduced by a factor of 1.5-1.7 under the action of wind speed with a coefficient of variation in the range 30-40%.

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“…This requires a deep understanding of the risk associated to the built environment as well as its variation over time due to degradation/aging and potential effect of climate change. Several methods for typhoon risk assessment/prioritization at building specific and portfolio level, respectively, are available in the scientific literature (e.g., [8,9]). Those adopted for building-specific risk assessment usually rely on refined numerical models and require specific data (e.g., roof geometry, number/location of purlins/fasteners, material properties) to be performed/collected.…”

Section: Introductionmentioning

confidence: 99%

Typhoon Fragility Analysis and Climate Change Impact Assessment of Filipino Cultural Heritage Asset Roofs

Sevieri¹,

Galasso²

2020

XI International Conference on Structural Dynamics

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Cultural Heritage (CH) assets are especially vulnerable to natural hazards (e.g., earthquake-induced ground shaking, typhoon-induced strong wind, and flooding) due to the lack of hazard-resistant features and to aging-induced extensive structural degradation. These considerations, together with their high historical/cultural value, justify the prioritization/implementation of disaster risk reduction (DRR) and resilience-enhancing strategies for the preservation of such assets. This paper proposes a probabilistic, simulation-based framework for the derivation of wind fragility relationships for CH roofs. Roof-panel pullout and pullover failure modes are used to model the progressive failure of the roof system, thus enabling the integration of fastener corrosion effects and load redistribution into the proposed fragility model. Monte-Carlo sampling is used to propagate the uncertainties related to wind-induced demands and roof component (i.e., fasteners and panels) capacities. Climate projections are used to assess the impact of climate change on wind hazard variations, and ultimately on the asset wind risk profile over time. An illustrative application of the proposed procedure is presented with reference to 25 heritage buildings in Iloilo City, Philippines.

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Wind Performance Enhancement Strategies for Residential Wood-Frame Buildings

Cited by 48 publications

References 24 publications

Stochastic Modeling of Uncertainties in the Wind Load Pressure on Residential Buildings Using Different Stochastic Techniques

Stochastic Modeling of Uncertainties in the Wind Load Pressure on Residential Buildings Using Different Stochastic Techniques

Reliability-Based Assessment of Galloping Instability of Thin-Walled Steel Beams

Typhoon Fragility Analysis and Climate Change Impact Assessment of Filipino Cultural Heritage Asset Roofs

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