A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Validated Intelligent Compaction Using AASHTOWare Pavement Mechanistic Empirical (ME) Modulus Target Values: I-25 North Express Lanes Case History
AASHTOWare pavement mechanistic empirical (ME) analysis software was used by the design team to optimize the PCC pavement and foundation system on the I-25 North Express Lanes Project (Johnstown to Fort Collins, CO). The pavement foundation system was designed and resilient modulus (Mr) target values assigned for subgrade, subbase, and a geogrid stabilized aggregate base layer. To verify that the design Mr values were achieved during construction, automated plate loading testing (APLT) was used at point locations as part of the quality assurance (QA) program. In addition, validated intelligent compaction (VIC) testing was implemented on a portion of the project to collect geospatial maps covering 100% of the work area to help the contractor improve compaction process control to achieve maximum uniformity as a quality control (QC) measure. This paper describes the application of APLT and VIC technology to establish the field target values based on the ME design input values accounting for stress-dependency. The paper also describes the process and results for statistically calibrating the VIC output to stress-dependent resilient modulus (R2>0.9) for the pavement foundation layers and engineering interpretation of the results. The innovative methods used in this project demonstrates how assumed ME pavement design values can be used in field process control and verification testing. By improving field verification of the design input parameters, the QC/QA process is optimized, and greater assurance is provided that long-term pavement performance will be achieved.
Validated Intelligent Compaction Using AASHTOWare Pavement Mechanistic Empirical (ME) Modulus Target Values: I-25 North Express Lanes Case History
AASHTOWare pavement mechanistic empirical (ME) analysis software was used by the design team to optimize the PCC pavement and foundation system on the I-25 North Express Lanes Project (Johnstown to Fort Collins, CO). The pavement foundation system was designed and resilient modulus (Mr) target values assigned for subgrade, subbase, and a geogrid stabilized aggregate base layer. To verify that the design Mr values were achieved during construction, automated plate loading testing (APLT) was used at point locations as part of the quality assurance (QA) program. In addition, validated intelligent compaction (VIC) testing was implemented on a portion of the project to collect geospatial maps covering 100% of the work area to help the contractor improve compaction process control to achieve maximum uniformity as a quality control (QC) measure. This paper describes the application of APLT and VIC technology to establish the field target values based on the ME design input values accounting for stress-dependency. The paper also describes the process and results for statistically calibrating the VIC output to stress-dependent resilient modulus (R2>0.9) for the pavement foundation layers and engineering interpretation of the results. The innovative methods used in this project demonstrates how assumed ME pavement design values can be used in field process control and verification testing. By improving field verification of the design input parameters, the QC/QA process is optimized, and greater assurance is provided that long-term pavement performance will be achieved.
Validated Intelligent Compaction Using AASHTOWare Pavement Mechanistic Empirical (ME) Modulus Target Values: I-25 North Express Lanes Case History
Carter, Lake (author) / Vennapusa, Pavana (author) / White, David J. (author)
Geo-Congress 2020 ; 2020 ; Minneapolis, Minnesota
Geo-Congress 2020 ; 467-477
2020-02-21
Conference paper
Electronic Resource
English
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