An efficient framework for the elasto-plastic reliability assessment of uncertain wind excited systems

Tabbuso, Pietro; Spence, Seymour M.J.; Palizzolo, Luigi; Pirrotta, Antonina; Kareem, Ahsan

doi:10.1016/j.strusafe.2015.09.001

Cited by 46 publications

(11 citation statements)

References 59 publications

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“…[12] For the modern performance-based design of tall buildings, uncertainties in the building structures and wind loads have been more rigorously considered in terms of the probabilistic models. [13,14] Huang et al [15] developed a performance-based design optimization method for wind sensitive tall buildings that considered the uncertainties of the design wind speed and modal parameters. During the design stage of tall buildings, the inherent uncertainties of modal parameters are quantified only based on the relevant literature and published empirical models.…”

Section: Discussionmentioning

confidence: 99%

“…During the design stage of tall buildings, the inherent uncertainties of modal parameters are quantified only based on the relevant literature and published empirical models. [13][14][15] It is becoming necessary to more rigorously quantify uncertainties to validate the performance-based design and assess the performance objectives of a wind sensitive tall building after its construction. The recently proposed fast Bayesian fast Fourier transform method (FBFFT) provides a systematic approach to identify the most probable value (MPV) of modal parameters and their posterior uncertainties from the full-scale measurement data.…”

Section: Discussionmentioning

confidence: 99%

“…Li et al assessed the serviceability of a super‐tall building in Hong Kong with the measured acceleration response during the passage of four typhoons, and the results showed that the tall building is satisfactory with the occupancy comfort criteria in ISO 6897 . For the modern performance‐based design of tall buildings, uncertainties in the building structures and wind loads have been more rigorously considered in terms of the probabilistic models . Huang et al developed a performance‐based design optimization method for wind sensitive tall buildings that considered the uncertainties of the design wind speed and modal parameters.…”

Section: Introductionmentioning

confidence: 99%

“…Huang et al developed a performance‐based design optimization method for wind sensitive tall buildings that considered the uncertainties of the design wind speed and modal parameters. During the design stage of tall buildings, the inherent uncertainties of modal parameters are quantified only based on the relevant literature and published empirical models . It is becoming necessary to more rigorously quantify uncertainties to validate the performance‐based design and assess the performance objectives of a wind sensitive tall building after its construction.…”

Section: Introductionmentioning

confidence: 99%

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Probabilistic assessment of vibration exceedance for a full‐scale tall building under typhoon conditions

Huang

et al. 2018

Structural Design Tall Build

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Summary Full‐scale wind and vibration measurements were conducted on a 270‐m tall building in Hong Kong. For the modal identification, a refined fast Bayesian fast Fourier transform method was newly developed by considering the exponential form of the modal wind force spectrum. Then, the modal parameters of the monitored building and their uncertainties were identified from the full‐scale vibration data under typhoon conditions by the proposed refined fast Bayesian fast Fourier transform method. For assessing the vibration exceedance of the monitored building under typhoon, a stochastic wind force field generation technique was developed by combining the spectral representation method and the computational fluid dynamics method. Wind‐induced vibration of the tall building under Typhoon Kammuri was reanalyzed with generated wind force time history data. Finally, a time‐domain Monte Carlo simulation framework was proposed by integrating the modal identification and the stochastic wind force field generation technique. In this framework, the Metropolis–Hastings sampling algorithm was adopted to estimate the vibration exceedance probability, which was defined through a limit state performance function associated with the ISO vibration assessment criteria.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Probabilistic assessment of vibration exceedance for a full‐scale tall building under typhoon conditions

Huang

et al. 2018

Structural Design Tall Build

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“…Modern issues of the reliability of building structures, in particular calculations of the steel frames reliability, are presented in [7 -17]. In [7] a method is suggested for an effective evaluation of the elastic-ideal plastic structures reliability. The boundary condition is estimated from the perspective of the probability multiplier.…”

Section: Main Bodymentioning

confidence: 99%

Steel Statically Uncertain Transverse Frames Probabilistic Calculation

Chichulina¹,

Chichulin²,

2018

IJET

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The aim of the work is probabilistic calculation and evaluation of steel statically uncertain frames reliability parameters and recommendations development for reducing their material content by controlling the reserves of the load bearing capacity of the.A method for evaluating the reliability parameters of steel statically uncertain frames by all able-bodied statens is developed. Logical probabilistic methods of statically uncertain systems work are used. The probability estimation method of statically uncertain systems failure based on the boundary equilibrium method, taking into account the correlation of individual destruction schemes, is obtained. The method of calculating the significance and contribution of individual frame elements and their influence on the system failure probability as a whole is proposed. The practical method of designing steel statically unidentified frames with the use of steel statically uncertain constructions reliability coefficient γs is offered. The scientific novelty of the work is to develop a scheme for determining frames failure probability by estimating the working capacity. In particular, the fragile and plastic fracturing failures of the frame section are considered. The algorithms for calculating the steel frames failure probability are determined by the probabilistic method of graphical equilibrium. The steel frame separate elements significance indexes are determined. The numerical experiment on the developed programs on a PC is presented for estimation of steel frames failure probability of various sections. the of of steel statically uncertain constructions reliability coefficient γs is proposed for usage.The practical value is more complete consideration of the structures and the probabilistic nature of strength and load, the use of the reliability coefficient. The possibilities of obtaining more economical frames in the design of new ones as well as reconstruction of existing buildings and facilities are identified. Based on the proposed methodology, algorithms and developed programs on the PC for the probabilistic calculation of steel statically uncertain frames for various purposes are compiled.

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Reliable Measures of Plastic Deformations for Elastic Plastic Structures in Shakedown Conditions

Palizzolo

Benfratello

Tabbuso

et al. 2020

Lecture Notes in Mechanical Engineering

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An efficient framework for the elasto-plastic reliability assessment of uncertain wind excited systems

Cited by 46 publications

References 59 publications

Probabilistic assessment of vibration exceedance for a full‐scale tall building under typhoon conditions

Probabilistic assessment of vibration exceedance for a full‐scale tall building under typhoon conditions

Steel Statically Uncertain Transverse Frames Probabilistic Calculation

Reliable Measures of Plastic Deformations for Elastic Plastic Structures in Shakedown Conditions

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