On the Use of the Cubic Translation to Model Bimodal Wind Pressures

[1] Kareem, A., and Zhao, J. (1994). Analysis of non-Gaussian surge response of tension leg platforms under wind loads, J. offshore Mech. and Arctic Eng., ASME, 116, 137-144.Search in Google Scholar

[2] Sadek, F., and Simiu, E. ( 2002). Peak non-Gaussian wind effects for database-assisted low-rise building design, J. Eng. Mech., ASCE, 128(5), 530-539.10.1061/(ASCE)0733-9399(2002)128:5(530)Search in Google Scholar

[3] Chen, X. and Huang, G. (2009). Evaluation of peak resultant response for wind-excited tall buildings. Engineering Structures 31, 858-868.10.1016/j.engstruct.2008.11.021Search in Google Scholar

[4] Kwon, D.K. and Kareem, A. (2009). Peak Factors for Non-Gaussian Load Effects Revisited, J. Struct. Eng., 137(12): 1611-1619.Search in Google Scholar

[5] Huang, M., Huang, S., Feng, H., Lou, W. (2016). Non-Gaussian time-dependent statistics of wind pressure processes on a roof structure. Wind and Structures an International Journal. 23. 275-300.10.12989/was.2016.23.4.275Search in Google Scholar

[6] Grigoriu, M. (1984). Crossings of non-Gaussian translation processes, J. Eng. Mech., ASCE, 110(4), 610-620.10.1061/(ASCE)0733-9399(1984)110:4(610)Search in Google Scholar

[7] Winterstein, S.R. (1987) Moment-based Hermite models of random vibration, Lyngby, Report No. 219. Department of Structural Engineering, Technical University of Denmark, Lyngby, Denmark.Search in Google Scholar

[8] Davenport, A. G. (1964). Note on the distribution of the largest value of a random function with application to gust loading, J. Inst. Civ. Eng., 24, 187-196.10.1680/iicep.1964.10112Search in Google Scholar

[9] Tognarelli, M. A., Zhao, J. and Kareem, A. (1997). Equivalent statistical cubicization for system and forcing nonlinearities, J. Eng. Mech., ASCE, 123(8), 1772-1790.10.1061/(ASCE)0733-9399(1997)123:8(890)Search in Google Scholar

[10] Winterstein, S. R., Ude, T. C. and Kleiven, G. (1994). Springing and slow-drift responses: predicted extremes and fatigue vs. simulation, Proc. BOSS-94, 3, MIT, 1-15.Search in Google Scholar

[11] Winterstein, S.R. and MacKenzie, C.A. (2012). Extremes of nonlinear vibration: models based on moments, L-moments, and maximum entropy, J.Offshore.Mech. Arct., 135(2), 021602.10.1115/1.4007050Search in Google Scholar

[12] Peng, X., Luping Yang, L., Gavanski, E., Gurley, K. and Prevatt, D. ( 2014). A comparison of methods to estimate peak wind loads on buildings, J. Wind Eng. Ind. Aerodyn., 126, 11–23.10.1016/j.jweia.2013.12.013Search in Google Scholar

[13] Blaise, N., Andrianne, T., and Denoël, V. (2017). Assessment of extreme value overestimations with equivalent static wind loads, J. of Wind Engineering and Industrial Aerodynamics 168, 123–133.10.1016/j.jweia.2017.05.005Search in Google Scholar

[14] Kawai, H., Nishimura, G. (1996). Characteristics of fluctuating suction and conical vortices on a flat roof in oblique flow, J. Wind Eng. Indus. Aerodyn. 60, 211–225.10.1016/0167-6105(96)00035-9Search in Google Scholar

[15] Eurocode, E. EN 1991-1-3: Actions on Structures-General Actions-Wind Actions. European Committee for Standardization.Search in Google Scholar

[16] Berg, H., Tijdeman, H. (1965). Theoretical and experimental results for the dynamic response of pressure measuring systems. National Aero and Aeronautical Research Institute, NLR-TR F.238.Search in Google Scholar

[17] Rigo, F. (2017). Unsteady pressure measurement around aerodynamic bodies: Development of a calibration apparatus and wind tunnel testing. Master’s dissertation, University of Liège.Search in Google Scholar

[18] Choi, M. and Sweetman, B. (2010). The Hermite Moment Model for Highly Skewed Response with Application to Tension Leg Platforms, ASCE Journal of Offshore Mechanics and Arctic Engineering, 132, Issue 2.10.1115/1.4000398Search in Google Scholar

[19] Yang, Q., Chen, X., Liu, M. (2019). Bias and sampling errors in estimation of extremes of non-Gaussian wind pressures by moment-based translation process models, Journal of Wind Engineering and Industrial Aerodynamics, Volume 186, Pages 214-233.10.1016/j.jweia.2019.01.006Search in Google Scholar

[20] Cook., N.J. (2016). On the gaussian-exponential mixture model for pressure coefficients, Journal of Wind Engineering and Industrial Aerodynamics, 53, 71–77.10.1016/j.jweia.2016.02.009Search in Google Scholar

[21] Rigo, F., Andrianne, T. and Denoël, V. (2018). Mixture model in high-order statistics for peak factor estimation on low-rise building. In Proceedings of the 15th Conference of the Italian Association for Wind Engineering, Naples, Italy.Search in Google Scholar