Infrastructure Condition Forecasting Using Neural Networks

by Charles W. Schwartz, Univ Of Maryland, College Park, United States,



Document Type: Proceeding Paper

Part of: Infrastructure: Planning and Management

Abstract:

Condition forecasting models are critical components of any infrastructure management system. infrastructure condition assessed through periodic inspections which assign ratings to various functional or distress categories based on the severity and extent of deterioration. These detailed distress ratings are often combined into a single composite condition index, e.g., the Pavement Condition Index, or PCI, used in some pavement management systems (Shahin, 1982). In order to determine the optimal timing and methods for planned maintenance and rehabilitation actions, the composite condition index--or, ideally, the individual distress ratings--must be projected over some multilayer planning horizon.

Subject Headings: Infrastructure | Forecasting | Systems management | Pavement condition | Ratings | Neural networks | Structural reliability

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