Abstract
Commonly used methods to estimate peak wind pressures on buildings are summarized. The Harris (2009) penultimate XIMIS method is described and calibrated against Gumbel epochal extreme-value analysis (EVA), as well as with the Hermite-Davenport peak factor method by Yang et al. (2013) (YGP) using a very long record of wind tunnel data from many pressure taps. The “industry standard” EVA, comprising 16 ten-minute epochs, gives the best accuracy, but is inefficient in its use of data. YGP is the least accurate, with the largest anomalies underestimating in reattachment zones. XIMIS is comparable to EVA for the same record lengths and remains better than YGP for records up to six times shorter.
Highlights
The design of buildings and their components to resist extreme winds requires the assessment of peak surface pressures
Its historical deviation through preceded studies, benefit and accuracy were summarized by presenting comparisons with commonly used and recent prevalent peak estimation methods, Gumbel extreme-value analysis and the Hermite-Davenport method of Yang et al (2013), respectively
The choice of record length for XIMIS is a compromise between accuracy and economy
Summary
The design of buildings and their components to resist extreme winds requires the assessment of peak surface pressures. Cook (2016b) proposed to adapt the Harris (2009) penultimate XIMIS method, originally proposed for extreme wind speeds, for peak pressures, calibrating it against conventional Gumbel epochal extreme value analysis (EVA) and the recent Gaussian process model using moment-based Hermite polynomials, here denoted as the “moment-based Hermite polynomial translation model” (HPM) by Yang et al (2013) (YGP) using very long records of wind tunnel data. Since Cook (2016b) was a discussion paper for Huang et al (2016) which promotes the use of HPM for non-Gaussian process data, only a brief explanation of XIMIS as well as the comparison results using only 2 pressure taps on a roof of low-rise building were presented. This study provides the extensive explanation of the XIMIS method and a comprehensive calibration of XIMIS against EVA and HPM using data from 496 roof taps to quantify the value-dependence and separation/attachment zonal dependence
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