Математическая модель процесса уплотнения асфальтобетонных смесей катками с металлическими вальцами
Как цитировать
Аннотация
Ключевые слова
Финансирование
Библиографические ссылки
Ahmad K.N., Chen X., Khan A. Optimizing asphalt compaction: Vibratory roller amplitude and predictive modeling // Construction and building materials. 2025. Vol. 463. Art. 132878.
Ahmed M.U., Tarefder R.A. Asphalt pavement density measurement using non-destructive testing methods: current practices, challenges, and future vision // Construction and building materials. 2022. Vol. 344. Art. 128141.
Azari H., Liu H., Shams S. Innovative density profiling of asphalt pavement // Public Roads. 2024. Vol. 87. № 5. pp. 12-18.
Commuri S., Zaman M., Barman M. Quality control of subgrade soil using intelligent compaction // Innovative infrastructure solutions. 2016. Vol. 1. Art. 20.
Imran S.A. Modeling and analysis of the interaction between roller drum and pavement material during compaction: dis.... PhD. Norman: University of Oklahoma, 2018. 185 р.
Kassem E., Scullion A., Lytton R. Development of compaction monitoring system for asphalt pavements // Construction and building materials. 2015. Vol. 96. pp. 334-345.
Liu D., Wang X., Chen F. Modeling of asphalt mixture-screed interaction: a nonlinear dynamic vibration model for improving paving density // Construction and building materials. 2022. Vol. 311. Art. 125003.
Liu Y., Chen X., Wang Z. Vibratory compaction response based on the contact model of roller- subgrade system // Construction and building materials. 2022. Vol. 365. Art. 130021.
Man T. Mathematical modeling of pavement gyratory compaction: a perspective on granular- fluid assemblies // Mathematics. 2023. Vol. 11. № 9. Art. 2096.
Praticò F.G., Perri G. The prediction of the compaction curves and energy of bituminous mixtures // Infrastructures. 2024. Vol. 10. № 6. Art. 132.
Validating a density-profiling system for asphalt compaction assessment: interim report. Washington: FHWA, 2024. 156 p.
Yu S., Shen S., Lu M. Data sensing and compaction condition modeling for asphalt pavements // Automation in construction. 2023. Vol. 154. Art. 105021.
Yu S., Wang J., Zhang L. Recent development in intelligent compaction for asphalt pavement construction: leveraging smart sensors and machine learning // Sensors. 2024. Vol. 24. № 9. Art. 2777.
Zhan Y., Zhang Y., Nie Z. Intelligent paving and compaction technologies for asphalt pavement // Automation in construction. 2023. Vol. 156. Art. 105081.
Zhao Y., Xie S., Gao Y., Zhang Y., Zhang K. Prediction of the number of roller passes and degree of compaction of asphalt layer based on compaction energy // Construction and building materials. 2021. Vol. 277. Art. 122274.
Опубликован
Выпуск
Раздел
Метрики
Права и условия использования
Правообладатель: СТРОИТЕЛЬНЫЕ И ДОРОЖНЫЕ МАШИНЫ, 2025
Условия использования полного текста: Все права защищены