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    Probabilistic Analysis of Unsaturated Fly Ash Slope 

    Source: Journal of Hazardous, Toxic, and Radioactive Waste:;2019:;Volume ( 023 ):;issue: 001
    Author(s): A. Prakash; B. Hazra; S. Sreedeep
    Publisher: American Society of Civil Engineers
    Abstract: To prevent fly ash from becoming an environmental hazard, it is very often used as a fill material in the construction of embankments. The stability of slopes incorporating the unsaturated behavior is of primary concern ...
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    Probabilistic Analysis of Water Retention Characteristic Curve of Fly Ash 

    Source: International Journal of Geomechanics:;2017:;Volume ( 017 ):;issue: 012
    Author(s): A. Prakash; B. Hazra; A. Deka; S. Sreedeep
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a comprehensive framework to understand the uncertainties associated with the water retention characteristic curve (WRCC) of fly ash, which is necessary for studying the unsaturated behavior of the fly ...
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    Modified Cross-Correlation Method for the Blind Identification of Structures 

    Source: Journal of Engineering Mechanics:;2010:;Volume ( 136 ):;issue: 007
    Author(s): B. Hazra; A. J. Roffel; S. Narasimhan; M. D. Pandey
    Publisher: American Society of Civil Engineers
    Abstract: Recently, blind source separation (BSS) methods have gained significant attention in the area of signal processing. Independent component analysis (ICA) and second-order blind identification (SOBI) are two popular BSS ...
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    Underdetermined Blind Identification of Structures by Using the Modified Cross-Correlation Method 

    Source: Journal of Engineering Mechanics:;2012:;Volume ( 138 ):;issue: 004
    Author(s): B. Hazra; A. Sadhu; A. J. Roffel; P. E. Paquet; S. Narasimhan
    Publisher: American Society of Civil Engineers
    Abstract: The modified cross-correlation (MCC) blind identification method is extended to handle the underdetermined case of structural system identification. The underdetermined case is one in which the number of sensors is less ...
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