Performance-Based Assessment and Structural Response of 20-Story SAC Building under Wind Hazards through Collapse

Ghaffary, Azin; Moustafa, Mohamed A.

doi:10.1061/(asce)st.1943-541x.0002911

Cited by 22 publications

(9 citation statements)

References 29 publications

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“…(Hong, 2004;Gani and Légeron, 2011;Chen, 2017, 2018;Bezabeh et al, 2021a,b), two approaches have essentially been investigated within the setting of PBWE. The first is based on application of the theory of plasticity through defining the state of dynamic shakedown as a collapse prevention performance objective (Tabbuso et al, 2016;Spence, 2017, 2019;Chuang and Spence, 2020;Chuang and Spence, 2022), while the second is based on directly applying nonlinear modeling approaches developed in seismic engineering for the nonlinear analysis of the MWFRS (Judd and Charney, 2015;Mohammadi et al, 2019;Nikellis et al, 2019;Ouyang and Spence, 2021b;Ghaffary and Moustafa, 2021;Huang and Chen, 2022). The intent of the first approach is to rapidly provide a means for identifying a region in which inelasticity can occur safely, i.e.…”

Section: Current Statusmentioning

confidence: 99%

Performance-Based Wind Engineering: Background and State of the Art

Spence

Arunachalam

2022

Front. Built Environ.

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This paper surveys the rapidly growing field of performance-based wind engineering (PBWE) of engineered systems, with focus on not only how PBWE has evolved since its early incarnations inspired by performance-based seismic engineering, but also the unique challenges of PBWE and the research that continues to emerge to tackle them. The limitations of traditional prescriptive wind design approaches are discussed with the aim of illustrating how such approaches are inadequate for providing acceptable building performance during extreme wind events, thus motivating why performance-based strategies for wind engineering are gaining traction and are poised to complement, if not replace, current approaches to wind design. In this respect, the current state of knowledge on the factors that affect building performance via extreme structural response, damage to the envelope system, and nonstructural components, is reviewed and challenges are identified. Lastly, the potential benefit of integrating optimization methods is identified while acknowledging the computational difficulty associated with such approaches.

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Section: Current Statusmentioning

confidence: 99%

Performance-Based Wind Engineering: Background and State of the Art

Spence

Arunachalam

2022

Front. Built Environ.

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“…In combination with inelasticity, the long duration of wind loading and the significant mean load component for certain wind directions (alongwind type loading) require explicit modeling of phenomena associated with potential failure due to ratcheting, low-cycle fatigue (LCF) and fracture, especially in the vicinity of collapse. Notwithstanding the difficulties associated with nonlinear structural modeling, considerable research efforts in the past have considered various structural modeling approaches, including static and dynamic single-/multi-degree-of-freedom models with both concentrated and distributed plasticity (Beck et al, 2014;Tabbuso et al, 2016;Chuang and Spence, 2017;Judd, 2018;Chen, 2017, 2018;Mohammadi et al, 2019;Spence, 2019, 2020;Ouyang and Spence, 2021;Ghaffary and Moustafa, 2021;Huang and Chen, 2022;Chuang and Spence, 2022). The primary limitation of concentrated plasticity models is that the accuracy is predicated on the chosen parameters for defining the hysteretic force-deformation relationships of the hinges.…”

Section: Introductionmentioning

confidence: 99%

“…The ability to explicitly model axial-moment interaction, and to account for shifting neutral axis as the section begins yielding, makes it a preferred modeling choice. Among the aforementioned studies, different types of analyses, namely, incremental dynamic analysis (IDA) (Judd and Charney, 2015;Mohammadi et al, 2019), nonlinear pushover analysis (Judd, 2018;Mohammadi et al, 2019), and nonlinear time history analysis (NLTHA) (Ghebremariam and Judd, 2016;Judd, 2018;Muthukumar et al, 2013;Mohammadi et al, 2019;Ouyang and Spence, 2021;Ghaffary and Moustafa, 2021;Huang and Chen, 2022) have been carried out. The IDA samples only cater to collapse assessment and great care must be taken in choosing the wind records to use in the analysis to ensure the proper consideration of wind directionality and record-to-record variability (wind load stochasticity).…”

Section: Introductionmentioning

confidence: 99%

“…Since a structure beyond the state of shakedown is not necessarily unsafe, the analysis yields a conservative estimate of the collapse-level reliability. Concerning recent approaches based on NLTHA, Ghaffary and Moustafa (2021) conducted a performance-based assessment of a 20-story building through collapse and studied the nonlinear structural response of steel frames under alongwind and acrosswind loads separately. In conducting the collapse simulation, the frames were subjected to steadily increasing wind loads until instability.…”

Section: Introductionmentioning

confidence: 99%

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Reliability-Based Collapse Assessment of Wind-Excited Steel Structures within Performance-Based Wind Engineering

Arunachalam

Spence

2022

J. Struct. Eng.

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As inelastic design for wind is embraced by the engineering community, there is an increasing demand for computational tools that enable the investigation of the nonlinear behavior of windexcited structures and subsequent development of performance criteria. To address this need, a probabilistic collapse assessment framework for steel structures is proposed in this paper. The framework is based on the integration of a high-fidelity fiber-based nonlinear structural modeling environment with a wind-tunnel-informed stochastic wind load model to perform nonlinear time history analysis. General uncertainty is propagated using a stratified sampling scheme enabling the efficient estimation of reliabilities associated with rare events. The adopted models for simulating high-fidelity nonlinear structural behavior were found, in general, to be adequate for capturing phenomena, including progressive yielding, buckling, and low-cycle fatigue, that are essential for wind induced collapse analysis. In particular, the adopted fatigue model was found to be capable of predicting damage and potential fiber/section fracture associated with non-fully reversing stressstrain cycles that are characteristic of wind loading. Through illustration on a 45-story archetype

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“…It is seen that architectural façade details can significantly influence both the local wind pressures and the aerodynamic forces. Ghaffary and Moustafa (2021) investigate through nonlinear modeling the collapse performance of a 20-story steel frame. From the results of the analysis they suggest that current code methods could lead to overly conservative designs indicating the potential for nonlinear design in practice.…”

mentioning

confidence: 99%