A Performance-Based Wind Engineering Framework for Envelope Systems of Engineered Buildings Subject to Directional Wind and Rain Hazards

Ouyang, Zhicheng; Spence, Seymour M.J.

doi:10.1061/(asce)st.1943-541x.0002568

Cited by 31 publications

(34 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Pioneered by the Pacific Earthquake Engineering Research (PEER) center (Porter, 2003), frameworks for probabilistic performance-based earthquake engineering have been widely adopted as the basis for developing frameworks for PBWE. The current work is developed based on the recently proposed PBWE framework outlined by Ouyang and Spence (2020), the implementation of which enables the estimation of probabilistic building envelope performance metrics of interest to stakeholders (e.g., expected repair costs, expected water ingress) based on a nominal description of the hurricane hazard. In particular, as detailed in Ouyang and Spence (2020), the framework is based on characterizing performance through solving the following probabilistic integral:…”

Section: The Performance-based Wind Engineering Settingmentioning

confidence: 99%

“…It is important to observe that the straight and stationary nature of the nominal hurricane enables existing models to be used for representing the stochastic wind pressures on the building envelope, e.g., those outlined in Ouyang and Spence (2020). However, these models cannot be used to represent the stochastic wind pressures in full hurricanes due to their nonstationary and non-straight nature.…”

Section: Hurricane Representationsmentioning

confidence: 99%

“…Performance-based design (PBD) has been widely accepted as a rational way of assessing risks to engineered facilities subjected to natural hazards (Porter, 2003). Over the past decade, significant research efforts have been placed on the development of frameworks for the performance-based assessment of wind-excited buildings (Ciampoli et al, 2011;Smith and Caracoglia, 2011;Petrini and Ciampoli, 2012;Barbato et al, 2013;Bernardini et al, 2015;Pita et al, 2016;Chuang and Spence, 2017;Cui and Caracoglia, 2018;Ierimonti et al, 2019;Micheli et al, 2019;Ouyang and Spence, 2019;Cui and Caracoglia, 2020;Ouyang and Spence, 2020;Ouyang and Spence, 2021). Most frameworks developed to date assess damage and loss to the building system based on demands estimated exclusively from the structural response (e.g., peak interstory drifts, accelerations) notwithstanding how a significant portion of envelope damage is generated from local dynamic wind pressure.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Performance-Based Wind Engineering Framework for Engineered Building Systems Subject to Hurricanes

Ouyang

Spence

2021

Front. Built Environ.

Self Cite

View full text Add to dashboard Cite

Over the past decade, significant research efforts have been dedicated to the development of performance-based wind engineering (PBWE). Notwithstanding these efforts, frameworks that integrate the damage assessment of the structural and envelope system are still lacking. In response to this need, the authors have recently proposed a PBWE framework that holistically treats envelope and structural damages through progressive multi-demand fragility models that capture the inherent coupling in the demands and damages. Similar to other PBWE methodologies, this framework is based on describing the hurricane hazard through a nominal straight and stationary wind event with constant rainfall and one-hour duration. This study aims to develop a PBWE framework based on a full description of the hurricane hazard in which the entire evolution of the storm track and time-dependent wind/rain fields is simulated. Hurricane-induced pressures impacting the building envelope are captured through the introduction of a non-stationary/-straight/-Gaussian wind pressure model. Time-dependent wind-driven rain is modeled through a computational fluid dynamics Eulerian multiphase framework with interpolation schemes for the rapid computation of wind-driven rain intensities over the building surface. Through the development of a conditional stochastic simulation algorithm, the envelope performance is efficiently characterized through probabilistic metrics associated with rare events of design interest. The framework is demonstrated through analyzing a 45-story archetype building located in Miami, FL, for which the envelope performance is estimated in terms of a suite of probabilistic damage and loss metrics. A comparative study is carried out in order to provide insights into the differences that can occur due to the use of nominal hurricane models.

show abstract

Section: The Performance-based Wind Engineering Settingmentioning

confidence: 99%

Section: Hurricane Representationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Performance-Based Wind Engineering Framework for Engineered Building Systems Subject to Hurricanes

Ouyang

Spence

2021

Front. Built Environ.

Self Cite

View full text Add to dashboard Cite

show abstract

“…(1) for each limit state using simulation-based methods. In particular, an efficient stochastic simulation scheme based on conditional simulation [8] was developed to address the computational challenges associated with direct Monte Carlo simulation, especially when the reliability index of interest is associated with small failure probabilities, i.e., is in the tail of the distribution, which usually requires very large sample sizes if reasonable accuracy is to be achieved. This conditional simulation scheme is based on partitioning the wind hazard curve into a set of mutually exclusive and collectively exhaustive events, thereby enabling unbiased and high fidelity estimation of small failure probabilities (e.g., 10 -6 ) from small sample sets through the total probability theorem.…”

Section: Efficient Reliability Assessment Framework For Inelastic Wind Excited Systemsmentioning

confidence: 99%

Software for Uncertainty Propogation and Reliability Assessment of Inelastic Wind Excited Systems

Chuang¹,

Spence²

2021

4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering

View full text Add to dashboard Cite

This paper presents a software tool for carrying out reliability assessment of inelastic wind excited systems through direct stochastic simulation. The tool address the need for practical approaches that enable efficient evaluation of the safety of such systems in order to apply probabilistic performance-based design in wind engineering. In particular, the software application is based on a recently proposed reliability assessment framework that integrates efficient inelastic response estimation approaches with a novel stochastic simulation scheme to propagate a full range of code compliant uncertainties through inelastic systems. The eight tabs of the graphical user interface of the software are designed to offer a user-friendly environment to specify all relevant data in order to define and solve reliability analysis problems that are at the core of modern performance-based wind engineering. The potential and applicability of the software are illustrated on a 3-dimensional archetype building.

show abstract

“…The FEMA P-58 Seismic Performance Assessment of Buildings guidelines (FEMA, 2018b), which leverages research by the Pacific Earthquake Engineering Research (PEER) center and other groups, established a comprehensive methodology with explicit damage and consequence models that rigorously incorporate uncertainties in earthquake hazards and their damaging effects (Moehle and Deierlein, 2004;Krawinkler and Miranda, 2004). Continuing efforts are underway to improve and extend comprehensive performance-based methods for the design and assessment of facilities to hurricanes, tsunamis and other hazards (e.g., Barbato et al, 2013;Lange et al, 2014;Bernardini et al, 2015;Attary et al, 2017;Ouyang and Spence, 2020).…”

Section: Performance-based Engineering Frameworkmentioning

confidence: 99%

A Cloud-Enabled Application Framework for Simulating Regional-Scale Impacts of Natural Hazards on the Built Environment

Deierlein

McKenna

Zsarnóczay

et al. 2020

Front. Built Environ.

View full text Add to dashboard Cite

With the goal to facilitate evaluation and mitigation of the risks from natural hazards, the Natural Hazards Engineering Research Infrastructure’s Computational Modeling, and Simulation Center (NHERI SimCenter) is developing computational workflows for regional hazard simulations. These simulations enable research to combine detailed assessments of individual facilities with comprehensive regional-scale simulations of natural hazard effects. By integration of multi-fidelity and multi-resolution models to assess natural hazard impacts on buildings, infrastructure systems and other constructed facilities, the approach enables the engineering analysis of public policies and socio-economic impacts. Effective development of platforms for high-resolution regional simulations requires modular workflows that can integrate state-of-the-art models with information technologies and high-performance computing resources. In this paper, the modular architecture of the computational workflow models is described and illustrated through testbed applications to evaluate regional building damage under an earthquake and a hurricane scenario. Developed and disseminated as open-source software on the NHERI DesignSafe Cyberinfrastructure, the computational models and workflows are enabling multi-disciplinary collaboration on research to mitigate the effects of natural hazard disasters.

show abstract

A Performance-Based Wind Engineering Framework for Envelope Systems of Engineered Buildings Subject to Directional Wind and Rain Hazards

Cited by 31 publications

References 36 publications

A Performance-Based Wind Engineering Framework for Engineered Building Systems Subject to Hurricanes

A Performance-Based Wind Engineering Framework for Engineered Building Systems Subject to Hurricanes

Software for Uncertainty Propogation and Reliability Assessment of Inelastic Wind Excited Systems

A Cloud-Enabled Application Framework for Simulating Regional-Scale Impacts of Natural Hazards on the Built Environment

Contact Info

Product

Resources

About