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    Using the Computer to Develop a Better Understanding in Teaching Structural Engineering Behavior to Undergraduates 

    Source: Journal of Computing in Civil Engineering:;2005:;Volume ( 019 ):;issue: 001
    Author(s): M. Y. Rafiq; D. J. Easterbrook
    Publisher: American Society of Civil Engineers
    Abstract: A parallel approach to the traditional method of teaching of Structural Engineering, which is based on the use of the computer, is presented in this paper. In this approach the emphasis has been shifted to developing a ...
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    Building Information Modeling Steered by Evolutionary Computing 

    Source: Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 004
    Author(s): M. Y. Rafiq; M. J. Rustell
    Publisher: American Society of Civil Engineers
    Abstract: In recent years, there has been a surge in the use of building information modeling (BIM) within construction. Much of the previous published research focuses on the impact of BIM during the detailed design, construction, ...
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    Conceptual Building Design—Evolutionary Approach 

    Source: Journal of Computing in Civil Engineering:;2003:;Volume ( 017 ):;issue: 003
    Author(s): M. Y. Rafiq; J. D. Mathews; G. N. Bullock
    Publisher: American Society of Civil Engineers
    Abstract: Issues relating to the application of the genetic algorithm (GA) to conceptual building design are addressed and designer support techniques are introduced. Particular attention is given to methods for representing domain ...
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    Interactive Visualization for Evolutionary Optimization of Conceptual Rainfall-Streamflow Models 

    Source: Journal of Computing in Civil Engineering:;2008:;Volume ( 022 ):;issue: 001
    Author(s): M. F. Borthwick; I. S. Packham; M. Y. Rafiq
    Publisher: American Society of Civil Engineers
    Abstract: Calibration is an essential part of the application of conceptual rainfall-streamflow models to watershed management problems for civil engineers. However, the identification of a unique set of parameters is difficult, if ...
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    Techniques for Predicting Cracking Pattern of Masonry Wallet Using Artificial Neural Networks and Cellular Automata 

    Source: Journal of Computing in Civil Engineering:;2010:;Volume ( 024 ):;issue: 002
    Author(s): Yu Zhang; G. C. Zhou; Yi Xiong; M. Y. Rafiq
    Publisher: American Society of Civil Engineers
    Abstract: This paper introduces innovative artificial intelligent techniques for directly predicting the cracking patterns of masonry wallets, subjected to vertical loading. The von Neumann neighborhood model and the Moore neighborhood ...
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    Visualizing Search and Solution Spaces in the Optimum Design of Biaxial Columns 

    Source: Journal of Computing in Civil Engineering:;2006:;Volume ( 020 ):;issue: 002
    Author(s): M. Y. Rafiq; I. S. Packham; D. J. Easterbrook; S. L. Denham
    Publisher: American Society of Civil Engineers
    Abstract: Optimum detailing of reinforcement bars for biaxial columns is a nontrivial task and there is no guidance in the codes of practice on this issue. Conventional methods of producing a single design solution and the use of ...
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    Cellular Automata Model for Predicting the Failure Pattern of Laterally Loaded Masonry Wall Panels 

    Source: Journal of Computing in Civil Engineering:;2006:;Volume ( 020 ):;issue: 006
    Author(s): G. C. Zhou; M. Y. Rafiq; G. Bugmann; D. J. Easterbrook
    Publisher: American Society of Civil Engineers
    Abstract: This paper introduces a technique that directly predicts the failure patterns of laterally loaded masonry panels based on the results of existing typical panels tested in the laboratory. The technique is based on the use ...
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