Compaction quality evaluation of subgrade based on soil characteristics assessment using machine learning
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Compaction quality evaluation of subgrade based on soil characteristics assessment using machine learning
Authors
Keywords
-
Journal
Transportation Geotechnics
Volume 32, Issue -, Pages 100703
Publisher
Elsevier BV
Online
2021-12-14
DOI
10.1016/j.trgeo.2021.100703
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improving phase prediction accuracy for high entropy alloys with Machine learning
- (2021) Sandesh Risal et al. COMPUTATIONAL MATERIALS SCIENCE
- Study on Performance Tests and the Application of Construction Waste as Subgrade Backfill
- (2021) Qingbiao Wang et al. Materials
- Investigation of the correlations between the field pavement in-place density and the intelligent compaction measure value (ICMV) of asphalt layers
- (2021) Weiguang Zhang et al. CONSTRUCTION AND BUILDING MATERIALS
- Identification of grouting compactness in bridge bellows based on the BP neural network
- (2021) Hongjin Liu et al. Structures
- Influence of moisture content on intelligent soil compaction
- (2020) Wei Hu et al. AUTOMATION IN CONSTRUCTION
- Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms
- (2020) Pin Zhang et al. Geoscience Frontiers
- Dynamic optimization of compaction process for rockfill materials
- (2019) Zaizhan An et al. AUTOMATION IN CONSTRUCTION
- Investigating key factors of intelligent compaction for asphalt paving: A comparative case study
- (2019) Wei Hu et al. CONSTRUCTION AND BUILDING MATERIALS
- Recommendations on Intelligent Compaction Parameters for Asphalt Resurfacing Quality Evaluation
- (2017) Wei Hu et al. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
- Particle swarm optimization algorithm: an overview
- (2017) Dongshu Wang et al. SOFT COMPUTING
- Recommendations on Intelligent Compaction Parameters for Asphalt Resurfacing Quality Evaluation
- (2017) Wei Hu et al. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
- Predicting standard penetration test N-value from cone penetration test data using artificial neural networks
- (2017) Bashar Tarawneh Geoscience Frontiers
- Real-Time Quality Monitoring and Control of Highway Compaction
- (2016) Donghai Liu et al. AUTOMATION IN CONSTRUCTION
- Adaptive quality control and acceptance of pavement material density for intelligent road construction
- (2016) Qinwu Xu et al. AUTOMATION IN CONSTRUCTION
- State-of-the-art review of some artificial intelligence applications in pile foundations
- (2016) Mohamed A. Shahin Geoscience Frontiers
- Compaction quality assessment of earth-rock dam materials using roller-integrated compaction monitoring technology
- (2014) Donghai Liu et al. AUTOMATION IN CONSTRUCTION
- Artificial Neural Network (ANN) and Regression Tree (CART) applications for the indirect estimation of unsaturated soil shear strength parameters
- (2014) D. P. Kanungo et al. Frontiers of Earth Science
- Reclaimed Asphalt Pavement and Recycled Concrete Aggregate Blends in Pavement Subbases: Laboratory and Field Evaluation
- (2013) A. Arulrajah et al. JOURNAL OF MATERIALS IN CIVIL ENGINEERING
- Estimating compaction parameters of fine- and coarse-grained soils by means of artificial neural networks
- (2012) Fatih Isik et al. Environmental Earth Sciences
- Neural Network Modeling of Resilient Modulus Using Routine Subgrade Soil Properties
- (2010) Musharraf Zaman et al. International Journal of Geomechanics
- Estimating Compaction of Cohesive Soils from Machine Drive Power
- (2008) Mark J. Thompson et al. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
- Relationships between In Situ and Roller-Integrated Compaction Measurements for Granular Soils
- (2008) David J. White et al. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
- Instrumentation of a roller compactor to monitor vibration behavior during earthwork compaction
- (2007) Robert V. Rinehart et al. AUTOMATION IN CONSTRUCTION
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search