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    Journal of Computing in Civil Engineering

    EISSN: 1943-5487
    ISSN: 0887-3801
    Priority: 6
    Publisher: American Society of Civil Engineers
    Description: The Journal of Computing in Civil Engineering serves as a resource to researchers, practitioners, and students on advances and innovative ideas in computing as applicable to the engineering profession. Many such ideas emerge from recent developments More ...

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    Evolutionary Polynomial Regression–Based Statistical Determination of the Shear Capacity Equation for Reinforced Concrete Beams without Stirrups 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001
    Author(s): Alessandra Fiore; Giuseppe Quaranta; Giuseppe Carlo Marano; Giorgio Monti
    Publisher: American Society of Civil Engineers
    Abstract: The shear capacity of reinforced concrete (RC) beams without stirrups is an important aspect in designing and assessing frame-type buildings. As a consequence, nearly all design codes provide equations for the evaluation ...
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    Evolutionary Polynomial Regression–Based Statistical Determination of the Shear Capacity Equation for Reinforced Concrete Beams without Stirrups 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001
    Author(s): Alessandra Fiore; Giuseppe Quaranta; Giuseppe Carlo Marano; Giorgio Monti
    Publisher: American Society of Civil Engineers
    Abstract: The shear capacity of reinforced concrete (RC) beams without stirrups is an important aspect in designing and assessing frame-type buildings. As a consequence, nearly all design codes provide equations for the evaluation ...
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    Genetic-Algorithm-Based Strategies for Dynamic Identification of Nonlinear Systems with Noise-Corrupted Response 

    Source: Journal of Computing in Civil Engineering:;2010:;Volume ( 024 ):;issue: 002
    Author(s): Giorgio Monti; Giuseppe Quaranta; Giuseppe Carlo Marano
    Publisher: American Society of Civil Engineers
    Abstract: The main objective of this paper is to investigate efficiency and correctness of different real-coded genetic algorithms and identification criteria in nonlinear system identification within the framework of non-classical ...
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