Estimation of peak wind response of building using regression analysis

被引:1
作者
Payan-Serrano, Omar [1 ]
Bojorquez, Eden [1 ]
Reyes-Salazar, Alfredo [1 ]
Ruiz-Garcia, Jorge [2 ]
机构
[1] Univ Autonoma Sinaloa, Fac Ingn, Culiacan, Sinaloa, Mexico
[2] Univ Michoacana, Fac Ingn Civil, Morelia, Michoacan, Mexico
关键词
wind simulation; dynamic analysis; maximum displacement; multiple regression; spectral density; SIMULATION; GUSTINESS; SPECTRUM; LOADS;
D O I
10.12989/was.2019.29.2.129
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The maximum along-wind displacement of a considerable amount of building under simulated wind loads is computed with the aim to produce a simple prediction model using multiple regression analysis with variables transformation. The Shinozuka and Newmark methods are used to simulate the turbulent wind and to calculate the dynamic response, respectively. In order to evaluate the prediction performance of the regression model with longer degree of determination, two complex structural models were analyzed dynamically In addition, the prediction model proposed is used to estimate and compare the maximum response of two test buildings studied with wind loads by other authors. Finally, it was proved that the prediction model is reliable to estimate the maximum displacements of structures subjected to the wind loads.
引用
收藏
页码:129 / 137
页数:9
相关论文
共 50 条
  • [31] Gaussian process regression for fatigue reliability analysis of offshore wind turbines
    Wilkie, David
    Galasso, Carmine
    STRUCTURAL SAFETY, 2021, 88
  • [32] Estimation of wind force time-history using limited floor acceleration responses by modal analysis
    Sato, Daiki
    Soriano, Razelle Dennise A.
    Shegay, Alex
    Miyamoto, Kou
    She, Jinhua
    Kasai, Kazuhiko
    JOURNAL OF FLUIDS AND STRUCTURES, 2025, 132
  • [33] Estimation of building energy consumption using weather information derived from photovoltaic power plants
    Fu, Xueqian
    Zhang, Xiurong
    RENEWABLE ENERGY, 2019, 130 : 130 - 138
  • [34] Bayesian residual analysis for binary response regression models
    Albert, J
    Chib, S
    BIOMETRIKA, 1995, 82 (04) : 747 - 759
  • [35] Extreme response analysis of train-track-bridge-wind interaction system based on in-situ monitoring wind data
    Xu, Zhiwei
    Dai, Gonglian
    Chen, Frank
    Rao, Huiming
    Huang, Zhibin
    STRUCTURAL SAFETY, 2023, 100
  • [36] Estimation of Peak Factor of Non-Gaussian Wind Pressures by Improved Moment-Based Hermite Model
    Liu, Min
    Chen, Xinzhong
    Yang, Qingshan
    JOURNAL OF ENGINEERING MECHANICS, 2017, 143 (07)
  • [37] Analysis of wind impacts on the high-rise building "Iset Tower"
    Alekhin, V. N.
    Antipin, A. A.
    Gorodilov, S. N.
    MECHANICAL ENGINEERING, MATERIALS AND ENERGY II, 2013, 281 : 639 - 644
  • [38] Analysis of Interactions and Nonlinear Effects with Missing Data: A Factored Regression Modeling Approach Using Maximum Likelihood Estimation
    Luedtke, Oliver
    Robitzsch, Alexander
    West, Stephen G.
    MULTIVARIATE BEHAVIORAL RESEARCH, 2020, 55 (03) : 361 - 381
  • [39] Mathematical Analysis of the Wind Field Characteristics at a Towering Peak Protruding out of a Steep Mountainside
    Nabil, Mohammed
    Guo, Fengqi
    Li, Huan
    Long, Qiuliang
    MATHEMATICS, 2024, 12 (10)
  • [40] Improving the Performance of MPPT in a Wind Generation System Using a Wind Speed Estimation by Newton Raphson
    Memije, D.
    Rodriguez, J. J.
    Carranza, O.
    Ortega, R.
    2016 IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING (ROPEC), 2016,