Remedial Modelling of Steel Bridges through Application of Analytical Hierarchy Process (AHP)
AbstractThe deterioration and failure of steel bridges around the world is of growing concern for asset managers and bridge engineers due to aging, increasing volume of traffic and introduction of heavier vehicles. Hence, a model that considers these heuristics can be employed to validate or challenge the practical engineering decisions. Moreover, in a time of increased litigation and economic unrest, engineers require a means of accountability to support their decisions. Maintenance, Repair and Rehabilitation (MR&R) of deteriorating bridge structures are considered as expensive actions for transportation agencies and the cost of error in decision making may aggravate problems related to infrastructure funding system. The subjective nature of decision making in this field could be replaced by the application of a Decision Support System (DSS) that supports asset managers through balanced consideration of multiple criteria. The main aim of this paper is to present the developed decision support system for asset management of steel bridges within acceptable limits of safety, functionality and sustainability. The Simplified Analytical Hierarchy Process S-AHP is applied as a multi criteria decision making technique. The model can serve as an integrated learning tool for novice engineers, or as an accountability tool for assurance to project stakeholders. View Full-Text
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Rashidi, M.; Ghodrat, M.; Samali, B.; Kendall, B.; Zhang, C. Remedial Modelling of Steel Bridges through Application of Analytical Hierarchy Process (AHP). Appl. Sci. 2017, 7, 168.
Rashidi M, Ghodrat M, Samali B, Kendall B, Zhang C. Remedial Modelling of Steel Bridges through Application of Analytical Hierarchy Process (AHP). Applied Sciences. 2017; 7(2):168.Chicago/Turabian Style
Rashidi, Maria; Ghodrat, Maryam; Samali, Bijan; Kendall, Brett; Zhang, Chunwei. 2017. "Remedial Modelling of Steel Bridges through Application of Analytical Hierarchy Process (AHP)." Appl. Sci. 7, no. 2: 168.
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