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Automated hot mix asphalt construction system by integrating productivity and material quality
This paper describes the current progress on the development of an automated Hot Mix Asphalt (HMA) construction system that integrates productivity and material quality to achieve cost-effective construction operation within specification criteria. It is a challenging task to analyze HMA operation, as its elements are complex and dynamic. This difficulty can be overcome by adapting the systems approach. The analyses of HMA operation using systems approach are provided. Quantitative models are widely used tools for systems analysis. Simulation and empirical modeling techniques, which are appropriate for quantitative models, are adopted for this research. Resource usage options and productivity performance can be evaluated with simulation models. Brief comment on simulation tools for the system is provided. Material property data, such as pavement density and temperature, are measured during the compaction process to monitor whether specification criteria are achieved. The regression analysis of material property data collected in the summer of 1997 is provided to show the progress on the empirical modelling. The analysis shows the variables that have significant effect on the densification of HMA mat. This automated system is expected to improve the current HMA construction practices that are based on empiricism and insensitive to the changing environmental conditions.
Automated hot mix asphalt construction system by integrating productivity and material quality
This paper describes the current progress on the development of an automated Hot Mix Asphalt (HMA) construction system that integrates productivity and material quality to achieve cost-effective construction operation within specification criteria. It is a challenging task to analyze HMA operation, as its elements are complex and dynamic. This difficulty can be overcome by adapting the systems approach. The analyses of HMA operation using systems approach are provided. Quantitative models are widely used tools for systems analysis. Simulation and empirical modeling techniques, which are appropriate for quantitative models, are adopted for this research. Resource usage options and productivity performance can be evaluated with simulation models. Brief comment on simulation tools for the system is provided. Material property data, such as pavement density and temperature, are measured during the compaction process to monitor whether specification criteria are achieved. The regression analysis of material property data collected in the summer of 1997 is provided to show the progress on the empirical modelling. The analysis shows the variables that have significant effect on the densification of HMA mat. This automated system is expected to improve the current HMA construction practices that are based on empiricism and insensitive to the changing environmental conditions.
Automated hot mix asphalt construction system by integrating productivity and material quality
Automatisches Asphalteinbausystem mit gleichzeitig hoher Leistung und Qualität
Lee, H. (Autor:in) / Schmitt, R.L. (Autor:in) / Tserng, H.P. (Autor:in) / Russell, J.S. (Autor:in) / Bahia, H.U. (Autor:in) / Bosscher, P.J. (Autor:in)
1998
10 Seiten, 7 Bilder, 1 Tabelle, 9 Quellen
Aufsatz (Konferenz)
Englisch
Straßenbau , Deckenfertiger , Asphalt , automatische Fertigung , Mischungsregelung , Prozesswärme , Simulationsmodell , Stoffeigenschaft , empirisches Verfahren , Automatisierung , Bauindustrie , Bitumenstraßenbaumaschine , Umwelteinfluss , Leistungssteigerung , Qualitätsverbesserung , Systemanalyse , Prozessautomatisierung , Prozessmodell , Prozessoptimierung , Prozessüberwachung
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