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During the last two or three decades, incidence of failure of reinforced concrete structures has been seen widely for many reasons, such as increasing service loads and/or durability problems and the economic losses due to such failures are costly. Nowadays, the size and the form of repair and rehabilitation market are too large since there has been an increased emphasis on repair and retrofitting of defected structures over demolition and new construction. For safety in concrete tunnel, periodic inspection has been conducted using many testing technologies and techniques. However, these technologies cannot replace visual inspection because of their slow and complicated procedures. For this reason, the Knowledge-Based Systems (KBS) are used with lab tests results to diagnose R.C tunnel lining corrosion crack damage (DICRCTL). In this study, we attempt to propose an alternative to the human expert, to give technical decisions in diagnosing corrosion crack damages in second segment of R.C. tunnel lining. To overcome this requirement, an expert system is developed to achieve the research aim. This proposed system was constructed on a knowledge base that incorporates with the gathered information, tests in the form of rules which is suitable to implement in an expert system environment to diagnostic advisory nature. The proposed application results show an easy, fast and satisfactory answer to engineering needs

DEVELOPMENT OF INSPECTION SYSTEM FOR CORROSION CRACK IN R.C. FOR SECOND TUNNEL LINING BY USING KNOWLEDGE-BASED SYSTEM