Evaluating the reliability of using the deflection amplification factor to estimate design displacements with accidental torsion effects

被引:3
|
作者
Lin, Jui-Liang [1 ]
Wang, Wei-Chun [2 ]
Tsai, Keh-Chyuan [2 ]
机构
[1] Natl Ctr Res Earthquake Engn, Taipei, Taiwan
[2] Natl Taiwan Univ, Dept Civil Engn, Taipei, Taiwan
关键词
reliability; deflection amplification factor; accidental torsion effect; torsional amplification factor; seismic responses; nonlinear response history analysis; SEISMIC DESIGN; RATIOS;
D O I
10.12989/eas.2015.8.2.443
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Some model building codes stipulate that the design displacement of a building can be computed using the elastic static analysis results multiplied by the deflection amplification factor, C-d. This approach for estimating the design displacement is essential and appealing in structural engineering practice when nonlinear response history analysis (NRHA) is not required. Furthermore, building codes stipulate the consideration of accidental torsion effects using accidental eccentricity, whether the buildings are symmetric-plan, or asymmetric-plan. In some model building codes, the accidental eccentricity is further amplified by the torsional amplification factor A(x) in order to minimize the discrepancy between statically and dynamically estimated responses. Therefore, this warrants exploration of the reliability of statically estimated design displacements in accordance with the building code requirements. This study uses the discrepancy curves as a way of assessing the reliability of the design displacement estimates resulting from the factors C-d and A(x). The discrepancy curves show the exceedance probabilities of the differences between the statically estimated design displacements and NRHA results. The discrepancy curves of 3-story, 9-story, and 20-story example buildings are investigated in this study. The example buildings are steel special moment frames with frequency ratios equal to 0.7, 1.0, 1.3, and 1.6, as well as existing eccentricity ratios ranging from 0% to 30%.
引用
收藏
页码:443 / 462
页数:20
相关论文
共 50 条
  • [11] Reliability-based design optimization using probabilistic sufficiency factor
    X. Qu
    R.T. Haftka
    Structural and Multidisciplinary Optimization, 2004, 27 : 314 - 325
  • [12] Reliability-based design optimization using probabilistic sufficiency factor
    Qu, X
    Haftka, RT
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2004, 27 (05) : 314 - 325
  • [13] Using factor analysis as an aided tool for evaluating layout design alternatives
    Bashir, Hamdi A.
    INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, 2007, 14 (03): : 267 - 272
  • [14] Reliability-based code calibration for design of wood members using load and resistance factor design
    Rosowsky, D
    Gromala, DS
    Line, P
    JOURNAL OF STRUCTURAL ENGINEERING-ASCE, 2005, 131 (02): : 338 - 344
  • [15] Optimization of Embedded Retaining Walls Under the Effects of Groundwater Seepage Using a Reliability-Based and Partial Factor Design Approach
    Varga, Rok
    Zlender, Bojan
    Jelusic, Primoz
    APPLIED SCIENCES-BASEL, 2024, 14 (23):
  • [16] Coupling and nonlinear effects of cantilever deflection and torsion encountered when simultaneously measuring vertical and lateral forces using the scanning probe method
    Mitsuya, Y
    Ohshima, Y
    Nonogaki, T
    WEAR, 1997, 211 (02) : 198 - 202
  • [17] Research on factor analysis and method for evaluating grouting effects using machine learning
    Li, Wenxin
    Chen, Juntao
    Zhu, Jun
    Ji, Xinbo
    Fu, Ziqun
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [18] Research on factor analysis and method for evaluating grouting effects using machine learning
    Li W.
    Chen J.
    Zhu J.
    Ji X.
    Fu Z.
    Scientific Reports, 14 (1)
  • [19] UNCERTAINTY ESTIMATE OF CHARPY DATA USING A 5-FACTOR 8-RUN DESIGN OF EXPERIMENTS
    Interrante, Charles G.
    Fong, Jeffrey T.
    Filliben, James J.
    Heckert, N. Alan
    PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE - 2008, VOL 6, PT A AND B, 2009, : 1475 - 1501
  • [20] Evaluating Effects of Developmental Education for College Students Using a Regression Discontinuity Design
    Moss, Brian G.
    Yeaton, William H.
    EVALUATION REVIEW, 2013, 37 (05) : 370 - 404