Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Analysis of Runway Pavement Distress Using Embedded Instrumentation
Airport pavements are constantly impacted by the heavy braking, and turning of aircraft that are major contributors to pavement failures such as surface shoving and slippage cracking; pavements are also greatly affected by high ambient and in-pavement temperatures during summer months. To detect airport pavement failures, the Federal Aviation Authority (FAA) implemented and installed strain gages in pavements at a few select major airports. This research focuses on results analyzed from strain gages installed by FAA that show pavement failures at the intersection of runway 4R-22L and High-Speed Taxiway N (HST-N) at Newark International Airport (EWR). Data from the pavement was collected by a data acquisition cabinet and transferred to a database for data analysis. The strain gage readings are described in technical terms, and the physical separation over time between the asphalt base layer and upper repaved layer is demonstrated. It is seen that non-destructive testing using embedded sensors can give warnings of pavement distresses that ultimately lead to failure. Statistical analysis using the Kolmogorov-Smirnov test and the differences between means test further confirm the pavement failures detected by the strain responses at EWR. The progression of pavement distress is described and evaluated.
Analysis of Runway Pavement Distress Using Embedded Instrumentation
Airport pavements are constantly impacted by the heavy braking, and turning of aircraft that are major contributors to pavement failures such as surface shoving and slippage cracking; pavements are also greatly affected by high ambient and in-pavement temperatures during summer months. To detect airport pavement failures, the Federal Aviation Authority (FAA) implemented and installed strain gages in pavements at a few select major airports. This research focuses on results analyzed from strain gages installed by FAA that show pavement failures at the intersection of runway 4R-22L and High-Speed Taxiway N (HST-N) at Newark International Airport (EWR). Data from the pavement was collected by a data acquisition cabinet and transferred to a database for data analysis. The strain gage readings are described in technical terms, and the physical separation over time between the asphalt base layer and upper repaved layer is demonstrated. It is seen that non-destructive testing using embedded sensors can give warnings of pavement distresses that ultimately lead to failure. Statistical analysis using the Kolmogorov-Smirnov test and the differences between means test further confirm the pavement failures detected by the strain responses at EWR. The progression of pavement distress is described and evaluated.
Analysis of Runway Pavement Distress Using Embedded Instrumentation
Singh, Amarjit (Autor:in) / Cook, Karissa (Autor:in)
Construction Research Congress 2016 ; 2016 ; San Juan, Puerto Rico
Construction Research Congress 2016 ; 800-808
24.05.2016
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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