Now showing items 1981-2000 of 2320

    • Belief Networks for Construction Performance Diagnostics 

      Brenda McCabe; Simaan M. AbouRizk; Randy Goebel (American Society of Civil Engineers, 1998)
      Belief networks, also referred to as Bayesian networks, are a form of artificial intelligence that incorporates uncertainty through probability theory and conditional dependence. Variables are graphically represented by ...
    • Standards Modeling Language 

      Han Kiliccote; James H. Garrett Jr. (American Society of Civil Engineers, 1998)
      A standards modeling language is presented. The use of this language enables the complete separation of design systems, standards processors and standards. This paper presents the requirements of a standards modeling ...
    • Discussion: Constructability Analysis: Machine Learning Approach 

      Yoram Reich (American Society of Civil Engineers, 1998)
    • Fuzzy Pattern Recognition Model for Diagnosing Cracks in RC Structures 

      Ching-Ju Chao; Fu-Ping Cheng (American Society of Civil Engineers, 1998)
      This paper examines a diagnostic model based on the concept of cause-and-effect diagramming and fuzzy pattern recognition, which contributes a new methodology for diagnosing engineering problems. Three examples are presented ...
    • Foundation for Research in Computing in Civil Engineering 

      Sivand Lakmazaheri; William Rasdorf (American Society of Civil Engineers, 1998)
      This paper provides a historical perspective on computing research in civil engineering, as reflected in the
    • Editorial: Engineering Data Meets Geographic Information Systems (GIS) 

      Dean Bowman (American Society of Civil Engineers, 1998)
    • Computer-Supported Collaborative Negotiation Methodology 

      Feniosky Peña-Mora; Chun-Yi Wang (American Society of Civil Engineers, 1998)
      The development of large-scale civil engineering projects requires the collaboration of experts from different specialties. However, conflicts and disputes occur regularly during the entire life cycle of large-scale projects ...
    • Comparison of Fuzzy and Neural Classifiers for Road Accidents Analysis 

      Tarek Sayed; Walid Abdelwahab (American Society of Civil Engineers, 1998)
      This paper investigates the classification of road accidents using neural networks and fuzzy classification techniques. Accident correctability by road improvements has been advocated as an important criterion in the ...
    • Simulation Modeling and Management of Large Basement Construction Project 

      W. M. Ng; E. L. Khor; L. K. Tiong; J. Lee (American Society of Civil Engineers, 1998)
      Management of a large basement construction project requires careful planning on what to accomplish, identifying all of the activities needed to build it, and obtaining the resources required to carry out the plans. But ...
    • Information Model for Managing Design Changes in a Collaborative Environment 

      Ahmed Mokhtar; Claude Bédard; Paul Fazio (American Society of Civil Engineers, 1998)
      Coordination of design information during the detailed design stage is essential for the design team to provide quality construction technical documents that are free of incompatibility errors. An analysis concerning current ...
    • Spatial Liquefaction Analysis System 

      Ronaldo Luna; J. David Frost (American Society of Civil Engineers, 1998)
      The spatial component of subsurface engineering data has historically been ignored because of the lack of appropriate analysis tools and techniques to account for this information. The development of powerful computed-based ...
    • Rough Set Application to Data Mining Principles in Pavement Management Database 

      Nii O. Attoh-Okine (American Society of Civil Engineers, 1997)
      This paper presents a new approach to rough set theory in pavement rehabilitation and maintenance decision support systems. A rough set-based analysis acts like a knowledge engineer who sits between data and the user. The ...
    • Editorial: Basics of Geographic Information Systems (GIS) 

      David A. Holdstock (American Society of Civil Engineers, 1998)
    • Development of Concrete Bridge Rating Prototype Expert System with Machine Learning 

      Moriyoshi Kushida; Ayaho Miyamoto; Kazuya Kinoshita (American Society of Civil Engineers, 1997)
      Efforts to develop practical expert systems have mostly concentrated on how to implement experience-based machine learning successfully. Recently several active research projects on machine learning have been undertaken ...
    • Entity-Based Models for Computer-Aided Design Systems 

      Namhee Kim Hong; Sunggul Hong (American Society of Civil Engineers, 1998)
      Integrated computer-aided design systems manage, communicate, and process the information created by and used in a variety of planning and design activities. Formal models of both the design product and the design process ...
    • Discussion: Knowledge Acquisition and Engineering for Steel Bridge Fabrication 

      Jamshid Mohammadi (American Society of Civil Engineers, 1997)
    • Estimating Resource Requirements at Conceptual Design Stage Using Neural Networks 

      Ashraf M. Elazouni; Ibrahim A. Nosair; Yousif A. Mohieldin; Ayman G. Mohamed (American Society of Civil Engineers, 1997)
      Construction conceptual estimating models provide frameworks for evaluating different alternatives at the conceptual design stage. Estimations are prepared in practice primarily based on analogy with previous similar cases. ...
    • Parameter Interdependencies for Development of KBS for Risk Analysis 

      J. Durgaprasad; T. V. S. R. Appa Rao (American Society of Civil Engineers, 1997)
      Knowledge-based systems (KBS) are being widely used for risk analysis of structures. The KBS make use of various types of observations made during postdisaster damage surveys and also the expertise of various domain ...
    • On-Line Assistance for Crane Operators 

      Leonhard E. Bernold; Steven J. Lorenc; Erick Luces (American Society of Civil Engineers, 1997)
      Safety is considered to be the most critical issue in the success of any lift operation. However, crane accidents involving tragic deaths of innocent people and destruction of property do occur. The number of accidents has ...
    • Recursive Formulation of Force Method Programmed in Logic 

      Vlasis K. Koumousis (American Society of Civil Engineers, 1998)
      Although classical methods of structural analysis are important in understanding the behavior of structures, they are not suitable for algorithmic programming. Modern computer languages that accommodate advanced data ...