Assessment of methods for extreme value analysis of non-Gaussian wind effects with short-term time history samples

Ancona-navarrete, 2000, A comparison of methods for estimating the extremal index, Extremes, 3, 5, 10.1023/A:1009993419559 Castillo, 2005 Chen, 2009, Evaluation of peak resultant response for wind-excited tall buildings, Eng Struct, 31, 858, 10.1016/j.engstruct.2008.11.021 Chen, 2014, Extreme value distribution and peak factor of crosswind response of flexible structures with nonlinear aeroelastic effect, J Struct Eng, 04014091, 10.1061/(ASCE)ST.1943-541X.0001017 Choi, 2010, The hermite moment model for highly skewed response with application to tension leg platforms, J Offshore Mech Arctic Eng, 132, 021602, 10.1115/1.4000398 Coles, 2001 Cook, 1979, A novel working approach to the assessment of wind loads for equivalent static design, J Wind Eng Indust Aerodynam, 4, 149, 10.1016/0167-6105(79)90043-6 Cope, 2005, Low-rise gable roof wind loads: characterization and stochastic simulation, J Wind Eng Indust Aerodynam, 93, 719, 10.1016/j.jweia.2005.07.002 Davenport, 1964, Note on the distribution of the largest value of a random function with application to gust loading, Proc Institut Civil Eng, 187, 10.1680/iicep.1964.10112 DeCarlo, 1997, On the meaning and use of kurtosis, Psychol Methods, 2, 292, 10.1037/1082-989X.2.3.292 Ding, 2013, Comparison of statistical extrapolation methods for the evaluation of long-term extreme response of wind turbine, Eng Struct, 57, 100, 10.1016/j.engstruct.2013.09.017 Ditlevsen, 1996, Integration of non-Gaussian fields, Probabil Eng Mech, 11, 15, 10.1016/0266-8920(95)00023-2 Ferro, 2003, Inference for clusters of extreme values, J Royal Statist Soc Ser B (Statist Methodol), 65, 545, 10.1111/1467-9868.00401 Filliben, 1975, The probability plot correlation coefficient test for normality, Technometrics, 111, 10.1080/00401706.1975.10489279 Gong, 2014, Estimation of long-term extreme response of operational and parked wind turbines: validation and some new insights, Eng Struct, 10.1016/j.engstruct.2014.09.039 Grigoriu, 1984, Crossings of non-Gaussian translation processes, J Eng Mech ASCE, 110, 610, 10.1061/(ASCE)0733-9399(1984)110:4(610) Grigoriu, 1995 Harris, 2005, Generalised Pareto methods for wind extremes: usefull tool or mathematical mirage?, J Wind Eng Indust Aerodynam, 93, 341, 10.1016/j.jweia.2005.02.004 Holmes, 1981, Non-Gaussian characteristics of wind pressure fluctuations, J Wind Eng Indust Aerodynam, 7, 103, 10.1016/0167-6105(81)90070-2 Holmes, 1999, Application of the generalized Pareto distribution to extreme value analysis in wind engineering, J Wind Eng Indust Aerodynam, 83, 1, 10.1016/S0167-6105(99)00056-2 Hosking, 1987, Parameter and quantile estimation for the generalized Pareto distribution, Technometrics, 29, 339, 10.1080/00401706.1987.10488243 Huang, 2013, Peak distributions and peak factors of wind-induced pressure processes on tall buildings, J Eng Mech ASCE, 139, 1744, 10.1061/(ASCE)EM.1943-7889.0000616 Karpa, 2013, Extreme value statistics of wind speed data by the ACER method, J Wind Eng Indust Aerodynam, 112, 1, 10.1016/j.jweia.2012.10.001 Kown, 2011, Peak factors for non-Gaussian load effects revisited, J Struct Eng, 137, 1611, 10.1061/(ASCE)ST.1943-541X.0000412 Kumar, 2000, Wind loads on low building roofs: a stochastic perspective, J Struct Eng, 126, 944, 10.1061/(ASCE)0733-9445(2000)126:8(944) Moriarty PJ, Holley WE, Butterfield SP. Extrapolation of extreme and fatigue loads using probabilistic methods. Paper No. NREL/TP-500-34421; 2004. Naess, 2009, Estimation of extreme values from sampled time series, Struct Safety, 31, 325, 10.1016/j.strusafe.2008.06.021 Naess, 2013, Estimation of extreme values by the average conditional exceedance rate method, J Probabil Statist, 2013, 1, 10.1155/2013/797014 Newman, 2005, Power laws, Pareto distributions and Zipf’s law, Contemp Phys, 46, 323, 10.1080/00107510500052444 Peterka, 1983, Selection of local peak pressure coefficients for wind tunnel studies of buildings, J Wind Eng Indust Aerodynam, 13, 477, 10.1016/0167-6105(83)90166-6 Peng, 2014, A comparison of methods to estimate peak wind loads on buildings, J Wind Eng Indust Aerodynam, 126, 11, 10.1016/j.jweia.2013.12.013 Pickands, 1975, Statistical inference using extreme order statistics, Ann Statist, 3, 119, 10.1214/aos/1176343003 Ragan, 2008, Statistical extrapolation methods for estimating wind turbine extreme loads, J Solar Energy Eng, 130, 15, 10.1115/1.2931501 Rice, 1944, Mathematical analysis of random noise, Bell Labs Tech J, 23, 282, 10.1002/j.1538-7305.1944.tb00874.x Sadek, 2002, Peak non-Gaussian wind effects for aatabase-assisted low-rise building design, J Eng Mech ASCE, 128, 530, 10.1061/(ASCE)0733-9399(2002)128:5(530) Scarrott, 2012, A review of extreme value threshold estimation and uncertainty quantification, Revstat, 10, 33 Simiu, 1996, Extreme wind distribution tails: a peaks over threshold approach, J Struct Eng, 122, 539, 10.1061/(ASCE)0733-9445(1996)122:5(539) Simiu, 1996 Smith, 1994, Estimating the extremal index, J Royal Statist Soc Ser B (Methodol), 56, 515 Tieleman, 2008, Extreme value distributions for peak pressure and load coefficients, J Wind Eng Indust Aerodynam, 96, 1111, 10.1016/j.jweia.2007.06.035 Winterstein SR. Moment-based hermite models of random vibration. Report No. 219, Department of Structural Engineering, Technical University of Denmark, Lyngby, Denmark; 1987. Winterstein, 1988, Nonlinear vibration models for extremes and fatigue, J Eng Mech ASCE, 114, 1772, 10.1061/(ASCE)0733-9399(1988)114:10(1772) Winterstein, 2000, Moment-based load and response models with wind engineering applications, J Solar Energy Eng, 122, 122, 10.1115/1.1288028 Winterstein, 2012, Extremes of nonlinear vibration: models based on moments, L-moments, and maximum entropy, J Offshore Mech Arctic Eng, 135, 021602, 10.1115/1.4007050 Yang, 2013, Probabilistic modeling of wind pressure on low-rise buildings, J Wind Eng Indust Aerodynam, 114, 18, 10.1016/j.jweia.2012.12.014