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    Discussion of “<i>Civil Engineering Needs in the 21st Century</i>” by J. M. Roesset and J. T. P. Yao (July, 1988, Vol. 114, No. 3) 

    Source: Journal of Professional Issues in Engineering:;1990:;Volume ( 116 ):;issue: 002
    Author(s): John M. Niedzwecki
    Publisher: American Society of Civil Engineers
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    Wave Power Estimates Utilizing Ocean Wave Spectra 

    Source: Journal of Energy Engineering:;1983:;Volume ( 109 ):;issue: 004
    Author(s): John M. Niedzwecki
    Publisher: American Society of Civil Engineers
    Abstract: A complete formulation of the spectral wave power equations, based upon linear wave theory, to be used with one‐dimensional and directional sea spectrum are presented. These equations are quite general and allow for the ...
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    Strategy for Design of Intelligent Tutoring Systems 

    Source: Journal of Computing in Civil Engineering:;1991:;Volume ( 005 ):;issue: 002
    Author(s): John M. Niedzwecki; Jessie A. Earles
    Publisher: American Society of Civil Engineers
    Abstract: An integrated design strategy, which includes a knowledge structure and an instructional model, to be used in the design of tutoring software for engineering science courses is presented. The strategy represents the synthesis ...
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    Wave Runup and Forces on Cylinders in Regular and Random Waves 

    Source: Journal of Waterway, Port, Coastal, and Ocean Engineering:;1992:;Volume ( 118 ):;issue: 006
    Author(s): John M. Niedzwecki; Arun S. Duggal
    Publisher: American Society of Civil Engineers
    Abstract: A small‐scale experimental study was performed to investigate wave runup on rigid full‐length and truncated circular cylinders under regular and random sea conditions. Wave elevations were measured around one‐half of the ...
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    Methodology for Reliability-Based Design Earthquake Identification 

    Source: Journal of Structural Engineering:;2000:;Volume ( 126 ):;issue: 012
    Author(s): John W. van de Lindt; John M. Niedzwecki
    Publisher: American Society of Civil Engineers
    Abstract: This study presents a methodology to rank the possible earthquake events through the estimation of a reliability importance parameter, which is a function of each event's magnitude
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