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    Closure to “Trapping Large Wood Debris in Rivers: Experimental Study of Novel Debris Retention System” by Diego Panici and Prakash Kripakaran 

    Source: Journal of Hydraulic Engineering:;2022:;Volume ( 148 ):;issue: 005:;page 07022004
    Author(s): Diego Panici; Prakash Kripakaran
    Publisher: ASCE
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    Trapping Large Wood Debris in Rivers: Experimental Study of Novel Debris Retention System 

    Source: Journal of Hydraulic Engineering:;2021:;Volume ( 147 ):;issue: 003:;page 04020101-1
    Author(s): Diego Panici; Prakash Kripakaran
    Publisher: ASCE
    Abstract: Large wood debris can cause critical damage to bridges and other riverine structures, and increase flood risk. Although their effects on hydrodynamic actions and flood levels have been investigated in recent research, ...
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    Improving System Identification Using Clustering 

    Source: Journal of Computing in Civil Engineering:;2008:;Volume ( 022 ):;issue: 005
    Author(s): Sandro Saitta; Prakash Kripakaran; Benny Raphael; Ian F. Smith
    Publisher: American Society of Civil Engineers
    Abstract: System identification involves identification of a behavioral model that best explains the measured behavior of a structure. This research uses a strategy of generation and iterative filtering of multiple candidate models ...
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    Feature Selection Using Stochastic Search: An Application to System Identification 

    Source: Journal of Computing in Civil Engineering:;2010:;Volume ( 024 ):;issue: 001
    Author(s): Sandro Saitta; Prakash Kripakaran; Benny Raphael; Ian F. C. Smith
    Publisher: American Society of Civil Engineers
    Abstract: System identification using multiple-model strategies may involve thousands of models with several parameters. However, only a few models are close to the correct model. A key task involves finding which parameters are ...
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    Multimodel Structural Performance Monitoring 

    Source: Journal of Structural Engineering:;2010:;Volume ( 136 ):;issue: 010
    Author(s): James-A. Goulet; Prakash Kripakaran; Ian F. C. Smith
    Publisher: American Society of Civil Engineers
    Abstract: Measurements from load tests may lead to numerical models that better reflect structural behavior. This kind of system identification is not straightforward due to important uncertainties in measurement and models. Moreover, ...
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    Genetic Algorithm-Based Decision Support for Optimizing Seismic Response of Piping Systems 

    Source: Journal of Structural Engineering:;2005:;Volume ( 131 ):;issue: 003
    Author(s): Abhinav Gupta; Prakash Kripakaran; G. (Kumar) Mahinthakumar; John W. Baugh Jr.
    Publisher: American Society of Civil Engineers
    Abstract: This paper describes computational approaches used in a prototype decision support system (DSS) for seismic design and performance evaluation of piping supports. The DSS is primarily based on a genetic algorithm (GA) that ...
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