Probabilistic characteristics of damping in buildings

J. Q. Fang; Q. S. Li; A. P. Jeary; D. K. Liu; C. K. Wong

doi:10.12989/was.1999.2.2.127

Probabilistic characteristics of damping in buildings

J. Q. Fang
, Q. S. Li
, A. P. Jeary
, D. K. Liu
, C. K. Wong

City University of Hong Kong

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

1 Citation (Scopus)

Abstract

This paper describes probabilistic characteristics of damping in a tall building based on the results of full-scale measurement. It is found, through statistical analysis of the damping data, that the probability density function(PDF) of damping at the high amplitude plateau can be well represented by Normal distribution (Gaussian distribution). A stochastic damping model is proposed to estimate amplitude-dependent damping for practical application.

Original language	English
Pages (from-to)	127-131
Journal	Wind and Structures, An International Journal
Volume	2
Issue number	2
Online published	25 Jun 1999
DOIs	https://doi.org/10.12989/was.1999.2.2.127
Publication status	Published - 1999

Research Keywords

damping
tall building
full-scale measurement

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title = "Probabilistic characteristics of damping in buildings",

abstract = "This paper describes probabilistic characteristics of damping in a tall building based on the results of full-scale measurement. It is found, through statistical analysis of the damping data, that the probability density function(PDF) of damping at the high amplitude plateau can be well represented by Normal distribution (Gaussian distribution). A stochastic damping model is proposed to estimate amplitude-dependent damping for practical application.",

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year = "1999",

doi = "10.12989/was.1999.2.2.127",

language = "English",

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journal = "Wind and Structures, An International Journal",

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T1 - Probabilistic characteristics of damping in buildings

AU - Fang, J. Q.

AU - Li, Q. S.

AU - Jeary, A. P.

AU - Liu, D. K.

AU - Wong, C. K.

PY - 1999

Y1 - 1999

N2 - This paper describes probabilistic characteristics of damping in a tall building based on the results of full-scale measurement. It is found, through statistical analysis of the damping data, that the probability density function(PDF) of damping at the high amplitude plateau can be well represented by Normal distribution (Gaussian distribution). A stochastic damping model is proposed to estimate amplitude-dependent damping for practical application.

AB - This paper describes probabilistic characteristics of damping in a tall building based on the results of full-scale measurement. It is found, through statistical analysis of the damping data, that the probability density function(PDF) of damping at the high amplitude plateau can be well represented by Normal distribution (Gaussian distribution). A stochastic damping model is proposed to estimate amplitude-dependent damping for practical application.

KW - damping

KW - tall building

KW - full-scale measurement

UR - https://www.scopus.com/pages/publications/0032633573

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0032633573&origin=recordpage

U2 - 10.12989/was.1999.2.2.127

DO - 10.12989/was.1999.2.2.127

M3 - RGC 21 - Publication in refereed journal

SN - 1226-6116

VL - 2

SP - 127

EP - 131

JO - Wind and Structures, An International Journal

JF - Wind and Structures, An International Journal

IS - 2

ER -

Probabilistic characteristics of damping in buildings

Abstract

Research Keywords

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