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contributor authorHuang M. F.;Li Qiang;Lou Wenjuan
date accessioned2019-02-26T07:57:35Z
date available2019-02-26T07:57:35Z
date issued2018
identifier other%28ASCE%29EM.1943-7889.0001465.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4250540
description abstractThe high-frequency force balance (HFFB) technique is widely adopted for the assessment of wind loads acting on a tall building because of its simplicity and versatility. Although a number of HFFB-based analysis methods have been proposed to predict wind-induced dynamic responses of a tall building, these methods or models have mostly been developed based on various assumptions, which introduce different levels of inherent uncertainties and lead to a practical problem of method and model selections among available HFFB-based methods. It is necessary to quantify uncertainties in selecting the most robust and reliable model to carry out wind-induced response analysis with minimum uncertainties. The novel contribution of this paper is to establish a probabilistic framework for quantifying the model-selection uncertainty and weighting up the superiority among the candidate HFFB-based analysis models. A practical complex tall building is employed to demonstrate the proposed technique of uncertainty quantification in HFFB-based analysis for predicting wind-induced responses. Furthermore, the synchronous multipressure sensing system (SMPSS) test has been conducted in the wind tunnel to provide the benchmark results of the wind loads and a virtual set of HFFB base reactions obtained through integration of the measured pressure field.
publisherAmerican Society of Civil Engineers
titleModel-Selection Uncertainty Quantifications in HFFB Dynamic Analyses of a Complex Tall Building
typeJournal Paper
journal volume144
journal issue6
journal titleJournal of Engineering Mechanics
identifier doi10.1061/(ASCE)EM.1943-7889.0001465
page4018040
treeJournal of Engineering Mechanics:;2018:;Volume ( 144 ):;issue: 006
contenttypeFulltext


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