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Construction contract quality warranties : Hybrid quality assessment model AbdelRazig, Yassir ; Chang, Luh-Maan

By: Contributor(s): Publication details: Transportation Research Record, 2003Description: nr 1861, s. 60-70Subject(s): Bibl.nr: VTI P8169:2003 Ref ; VTI P8167Location: Abstract: The term "quality" is defined as the conformance to predetermined requirements or specifications. These requirements may be simple or complex. They may be set in terms of the end result required or as a detailed description of how work should be executed. Recently, there has been increasing interest in quality assurance in the construction industry. Most current techniques used in infrastructure assessment and quality inspection rely merely on subjective criteria. Such inaccurate or subjective assessment techniques have been identified as critical obstacles to effective infrastructure management. An overview of contract quality warranties for steel bridge coatings is presented as a practical example, and a hybrid assessment model that can be used to quantitatively measure quality attributes is proposed. The hybrid model combines image processing and neural networks for defect (specifically, rust) recognition and measurement and uses statistical analysis for quality acceptance or rejection on the basis of the contract warranty clauses. The hybrid model incorporates human experience through the training stage to benefit from experts' knowledge and to correct for other external factors.
Item type: Reports, conferences, monographs
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The term "quality" is defined as the conformance to predetermined requirements or specifications. These requirements may be simple or complex. They may be set in terms of the end result required or as a detailed description of how work should be executed. Recently, there has been increasing interest in quality assurance in the construction industry. Most current techniques used in infrastructure assessment and quality inspection rely merely on subjective criteria. Such inaccurate or subjective assessment techniques have been identified as critical obstacles to effective infrastructure management. An overview of contract quality warranties for steel bridge coatings is presented as a practical example, and a hybrid assessment model that can be used to quantitatively measure quality attributes is proposed. The hybrid model combines image processing and neural networks for defect (specifically, rust) recognition and measurement and uses statistical analysis for quality acceptance or rejection on the basis of the contract warranty clauses. The hybrid model incorporates human experience through the training stage to benefit from experts' knowledge and to correct for other external factors.

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