@ARTICLE{Căpăînă_Dragoş_Modeling_2023,
 author={Căpăînă, Dragoş and Niţu, Marilena Cristina and Iliescu, Mihaiela},
 volume={vol. 69},
 number={No 4},
 journal={Archives of Civil Engineering},
 pages={431-444},
 howpublished={online},
 year={2023},
 publisher={WARSAW UNIVERSITY OF TECHNOLOGY FACULTY OF CIVIL ENGINEERING and COMMITTEE FOR CIVIL ENGINEERING POLISH ACADEMY OF SCIENCES},
 abstract={Road infrastructure is aimed to be sustainable construction in today’s condition of heavy traffic. Depending on geotechnical characteristics of soils there are chosen adequate techniques for compaction, meaning: type of compaction, equipment, compaction parameters and, if possible, computer aided acquisition and processing of data. This paper presents research results on the vibratory roller compaction process of road soils, from the point of view of process mathematically modeling and statistically modeling of process parameters interdependence. The obtained regression model is innovative one and fit for further application in optimization (by AI and IoT) of the compaction process. Good correlation of all the results (self-pulsation values) proves the adequate assumptions for both modeling and experimenting. Further development of this research is intended to develop a special software for direct correlation of road geographical position and soil characteristics to the compaction process parameters optimum values.},
 type={Article},
 title={Modeling the vibratory roller compaction process of road soils},
 URL={http://journals.pan.pl/Content/129782/PDF/art25_int.pdf},
 doi={10.24425/ace.2023.147668},
 keywords={vibration, compaction process, road soil, modeling, regression},
}