Liquid retaining structures are more vulnerable to corrosion
problems and thus have stringent requirements against
serviceability limit state of crack. The design procedures of these
structures require significant empirical inputs from specialists.
With the recent advent of artificial intelligence technology, a
coupled knowledge-based system can handle both the symbolic
knowledge processing based on engineering heuristics in the
preliminary synthesis stage and the extensive numerical crunching
involved in the detailed structural analysis stage. This book
presents a prototype coupled knowledge-based system for the design
of liquid retaining structures...
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