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    Sequential Prediction-Error Method for Structural Identification 

    Source: Journal of Engineering Mechanics:;1997:;Volume ( 123 ):;issue: 002
    Author(s): Chung-Bang Yun; Hyeong-Jin Lee; Chang-Gun Lee
    Publisher: American Society of Civil Engineers
    Abstract: Time-domain methods for the identification of linear structural dynamic systems are studied. The stochastic autoregressive and moving average (ARMAX) model is used to process the measured excitation and response records ...
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    Frequency Domain Identification of Multi-Input, Multi-Output Systems Considering Physical Relationships between Measured Variables 

    Source: Journal of Engineering Mechanics:;2005:;Volume ( 131 ):;issue: 005
    Author(s): Saang Bum Kim; B. F. Spencer Jr.; Chung-Bang Yun
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a new frequency domain identification method for multi-input, multi-output (MIMO) systems. Based on experimentally determined frequency response function data, rational polynomial transfer function ...
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    Vibration Control of Wind-Excited Tall Buildings Using Sliding Mode Fuzzy Control 

    Source: Journal of Engineering Mechanics:;2004:;Volume ( 130 ):;issue: 004
    Author(s): Saang Bum Kim; Chung-Bang Yun; B. F. Spencer, Jr.
    Publisher: American Society of Civil Engineers
    Abstract: A sliding mode fuzzy control (SMFC) is proposed to design a controller for the third-generation benchmark problem on wind-excited buildings. A distinctive feature in vibration control of large civil infrastructure is the ...
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    Identification of the Soil–Structure Interaction System Using Earthquake Response Data 

    Source: Journal of Engineering Mechanics:;2004:;Volume ( 130 ):;issue: 007
    Author(s): Jun-Seong Choi; Jong-Seh Lee; Chung-Bang Yun
    Publisher: American Society of Civil Engineers
    Abstract: This paper demonstrates how system identification techniques can be successfully applied to a soil–structure interaction system using the earthquake response data. The parameters identified are the shear moduli of several ...
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    Piezoelectric Sensor-Based Health Monitoring of Railroad Tracks Using a Two-Step Support Vector Machine Classifier 

    Source: Journal of Infrastructure Systems:;2008:;Volume ( 014 ):;issue: 001
    Author(s): Seunghee Park; Daniel J. Inman; Jong-Jae Lee; Chung-Bang Yun
    Publisher: American Society of Civil Engineers
    Abstract: A piezoelectric sensor-based health monitoring technique using a two-step support vector machine (SVM) classifier is developed for railroad track damage identification. A
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