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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 27
ARTIFICIAL INTELLIGENCE AND OBJECT ORIENTED APPROACHES TO STRUCTURAL ENGINEERING Edited by: B.H.V. Topping and M. Papadrakakis
Paper I.4
Knowledge-Based Expert Systems for Bridge Rating M.A. Issa and A. Yousif
Department of Civil Engineering, Mechanics and Metallurgy, Engineering Research Facility, Chicago, United States of America M.A. Issa, A. Yousif, "Knowledge-Based Expert Systems for Bridge Rating", in B.H.V. Topping, M. Papadrakakis, (Editors), "Artificial Intelligence and Object Oriented Approaches to Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 23-32, 1994. doi:10.4203/ccp.27.1.4
Abstract
This paper presents the development of an Expert System
for the rating and analysis of existing prestressed concrete
bridges. Knowledge-based expert systems provide
effective means of solving engineering and management
problems concerned with bridge classification and rating.
The performance level of the expert system depends on
the experience of the human expert who built it. The
ratings considered are bridge capacity ratings or strength
ratings. They include flexural and shear capacity ratings
of supporting elements. The ultimate flexural strength
and shear strength of the beams and girders are regarded
to determine the desired rating. The parameters
considered were bridge type, dead loads, type of vehicle
loading, bridge dimensions and cross section, material
properties, reinforcement details, and existing physical
condition of the bridge. The outcome of the study was
promising as it revealed that through its runtime rule
controller, user interface, and linkage mechanisms, the
BRES is a friendly user system for rating existing
bridges. In addition, the BRES provides an error free
process that the user can depend on.
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