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    Axially Loaded Piles in Layered Soil 

    Source: Journal of Geotechnical Engineering:;1987:;Volume ( 113 ):;issue: 004
    Author(s): S. L. Lee; Y. C. Kog; G. P. Karunaratne
    Publisher: American Society of Civil Engineers
    Abstract: The behavior of axially loaded piles in layered soil is investigated in terms of effective stresses, using a rigorous elastic load transfer theory. Following the technique of Muki and Sternberg, the problem is decomposed ...
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    Critical Success Factors for Different Project Objectives 

    Source: Journal of Construction Engineering and Management:;1999:;Volume ( 125 ):;issue: 003
    Author(s): D. K. H. Chua; Y. C. Kog; P. K. Loh
    Publisher: American Society of Civil Engineers
    Abstract: The identification of key factors for construction project success enables appropriate allocation of limited resources. Most of the related past work only identified critical success factors for construction projects in ...
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    Settlement Analysis of Socketed Pile Groups 

    Source: Journal of Geotechnical Engineering:;1990:;Volume ( 116 ):;issue: 008
    Author(s): Y. K. Chow; J. T. Chin; Y. C. Kog; S. L. Lee
    Publisher: American Society of Civil Engineers
    Abstract: A numerical procedure is presented for the settlement analysis of group piles that penetrate an upper soil layer to socket into a firm bearing stratum of finite stiffness. An extensive parametric study is carried out to ...
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    Model for Construction Budget Performance—Neural Network Approach 

    Source: Journal of Construction Engineering and Management:;1997:;Volume ( 123 ):;issue: 003
    Author(s): D. K. H. Chua; Y. C. Kog; P. K. Loh; E. J. Jaselskis
    Publisher: American Society of Civil Engineers
    Abstract: A neural network approach is used to identify the key management factors that affect budget performance in a project. Field data of project performance has been used to build the budget performance model. This approach ...
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    Closure to “Model for Construction Budget Performance—Neural Network Approach” by D. K. H. Chua, Y. C. Kog, P. K. Loh, and E. J. Jaselskis 

    Source: Journal of Construction Engineering and Management:;1999:;Volume ( 125 ):;issue: 003
    Author(s): D. K. H. Chua; Y. C. Kog; P. K. Loh; E. J. Jaselskis
    Publisher: American Society of Civil Engineers
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    Model for Construction Budget Performance—Neural Network Approach 

    Source: Journal of Construction Engineering and Management:;1999:;Volume ( 125 ):;issue: 003
    Author(s): Sandra L. Weber; D. K. H. Chua; Y. C. Kog; P. K. Loh; E. J. Jaselskis
    Publisher: American Society of Civil Engineers
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