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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Wind and Structures
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Volume 2, Issue 4 - Dec 1999
Volume 2, Issue 3 - Sep 1999
Volume 2, Issue 2 - Jun 1999
Volume 2, Issue 1 - Mar 1999
Selecting the target year
Analysis and performance of offshore platforms in hurricanes
Kareem, Ahsan ; Kijewski, Tracy ; Smith, Charles E. ;
Wind and Structures, volume 2, issue 1, 1999, Pages 1~23
DOI : 10.12989/was.1999.2.1.001
Wind effects are critical considerations in the design of topside structures, overall structural systems, or both, depending on the water depth and type of offshore platform. The reliable design of these facilities for oil fields in regions of hostile environment can only be assured through better understanding of the environmental load effects and enhanced response prediction capabilities. This paper summarizes the analysis and performance of offshore platforms under extreme wind loads, including the quantification of wind load effects with focus on wind field characteristics, steady and unsteady loads, gust loading factors, application of wind tunnel tests, and the provisions of the American Petroleum Institute Recommended Practice 2A - Working Stress Design (API RP 2A-WSD) for the construction of offshore structures under the action of wind. A survey of the performance of platforms and satellite structures is provided, and failure mechanisms concerning different damage scenarios during Hurricane Andrew are examined. Guidelines and provisions for improving analysis and design of structures are addressed.
Using neural networks to model and predict amplitude dependent damping in buildings
Li, Q.S. ; Liu, D.K. ; Fang, J.Q. ; Jeary, A.P. ; Wong, C.K. ;
Wind and Structures, volume 2, issue 1, 1999, Pages 25~40
DOI : 10.12989/was.1999.2.1.025
In this paper, artificial neural networks, a new kind of intelligent method, are employed to model and predict amplitude dependent damping in buildings based on our full-scale measurements of buildings. The modelling method and procedure using neural networks to model the damping are studied. Comparative analysis of different neural network models of damping, which includes multi-layer perception network (MLP), recurrent neural network, and general regression neural network (GRNN), is performed and discussed in detail. The performances of the models are evaluated and discussed by tests and predictions including self-test, "one-lag" prediction and "multi-lag" prediction of the damping values at high amplitude levels. The established models of damping are used to predict the damping in the following three ways : (1) the model is established by part of the data measured from one building and is used to predict the another part of damping values which are always difficult to obtain from field measurements : the values at the high amplitude level. (2) The model is established by the damping data measured from one building and is used to predict the variation curve of damping for another building. And (3) the model is established by the data measured from more than one buildings and is used to predict the variation curve of damping for another building. The prediction results are discussed.
Graphical technique for the flutter analysis of flexible bridge
Lee, Tzen Chin ; Go, Cheer Germ ;
Wind and Structures, volume 2, issue 1, 1999, Pages 41~49
DOI : 10.12989/was.1999.2.1.041
The flutter of a bridge is induced by self-excited force factors such as lift, drag and aerodynamic moment. These factors are associated with flutter derivatives in the analysis of wind engineering. The flutter derivatives are the function of structure configuration, wind velocity and response circular frequency. Therefore, the governing equations for the interaction between the wind and dynamic response of the structure are complicated and highly nonlinear. Herein, a numerical algorithm through graphical technique for the solution of wind at flutter is presented. It provides a concise approach to the solution of wind velocity at flutter.
Probabilistic analysis of Italian extreme winds : Reference velocity and return criterion
Ballio, G. ; Lagomarsino, S. ; Piccardo, G. ; Solari, G. ;
Wind and Structures, volume 2, issue 1, 1999, Pages 51~68
DOI : 10.12989/was.1999.2.1.051
Applying and extending some preceding researches, this paper proposes a map of Italian extreme winds assigning the reference velocity, i.e., the wind velocity averaged over 10 minutes, at 10 m height, in a flat open terrain, with 50 years mean return period, depending on the site and the altitude. Furthermore, an objective criterion is formulated by which the actual values of the local wind velocity are given as a function of the reference velocity. The study has been carried out in view of the revision of the Italian Standards dealing with safety and loads and the introduction of the aeolic Italian map into Eurocode 1.
Optimal design of wind-induced vibration control of tall buildings and high-rise structures
Li, Qiusheng ; Cao, Hong ; Li, Guiqing ; Li, Shujing ; Liu, Dikai ;
Wind and Structures, volume 2, issue 1, 1999, Pages 69~83
DOI : 10.12989/was.1999.2.1.069
The most common used control device on tall buildings and high-rise structures is active and passive tuned mass damper (ATMD and TMD). The major advantages of ATMD and TMD are discussed. The existing installations of various passive/active control devices on real structures are listed. A set of parameter optimization methods is proposed to determine optimal parameters of passive tuned mass dampers under wind excitation. Simplified formulas for determining the optimal parameters are proposed so that the design of a TMD can be carried out easily. Optimal design of wind-induced vibration control of frame structures is investigated. A thirty-story tall building is used as an example to demonstrate the procedure and to verify the efficiency of ATMD and TMD with the optimal parameters.