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Computerized Integrated Knowledge Based System for High-Performance Concrete: An Overview.
Published
Author(s)
Dale P. Bentz, J R. Clifton, L J. Kaetzel
Abstract
A Computerized Integrated Knowledge Based System (CIKS) is a computerized intelligent system of integrated knowledge base systems providing the knowledge for solving problems of a range of complexities. Knowledge bases which can be incorporated into a CIKS include databases, mathematical and simulation models, AI systems, guides, handbooks, and standards and codes. Along with these knowledge bases, a comprehensive CIKS will include ways to obtain knowledge from distributed knowledge sources using Remote Database Access (RDA) and Agent technologies. The development of a CIKS involves the following major steps: (1) defining the purpose of the system and who are the intended users; (2) identifying and developing the architecture for the system; (3) developing an information model; (4) developing a prototype system; and (5) establishing methods for the maintenance of the system. The reliability of a CIKS will depend on the quality of the knowledge it contains. The needs for the establishment of a validation process for knowledge bases and for the complete CIKS system are discussed. Four examples of the application of CIKS technology applicable to high-performance concrete (HPC) are described to illustrate the diversity of the technology. Also, an operational, prototype CIKS which predicts the service life of reinforced concrete, which is susceptible to corrosion induced by an external source of chlorides, is presented.
concretes, building technology, databases, expert systems, high performance concrete, intelligent agents, knowledge bases, models, neural networks, remote database access
Citation
Bentz, D.
, Clifton, J.
and Kaetzel, L.
(1997),
Computerized Integrated Knowledge Based System for High-Performance Concrete: An Overview., NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.5947
(Accessed August 31, 2024)