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International Journal of Pavement Engineering Volume 23, 2022 - Issue 10
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Articles

Resilient modulus descriptive analysis and estimation for fine-grained soils using multivariate and machine learning methods

Chijioke Christopher Ikeagwuania Civil Engineering Department, University of Nigeria, Nsukka, NigeriaORCID Iconhttps://orcid.org/0000-0001-5037-552X
ORCID Icon,
Donald Chimobi Nwonua Civil Engineering Department, University of Nigeria, Nsukka, NigeriaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5106-4579
ORCID Icon &
Chukwuebuka C. Nwekeb Sonny Astani Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, CA, USAORCID Iconhttps://orcid.org/0000-0002-8939-571X
ORCID Icon
Pages 3409-3424 | Received 26 Nov 2020, Accepted 22 Feb 2021, Published online: 15 Mar 2021

Citations (10)

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Read on this site (3)

Rodrigo Polo-Mendoza, Jose Duque, David Mašín, Emilio Turbay & Carlos Acosta. (2023) Implementation of deep neural networks and statistical methods to predict the resilient modulus of soils. International Journal of Pavement Engineering 24:1.
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Zhong Han, Lu-qiang Ding, Huai-ping Feng, Guang-qing Yang & Wei-lie Zou. (2023) Resilient modulus of a compacted clay with different moisture and temperature histories. International Journal of Pavement Engineering 24:1.
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Behnam Ghorbani, Ehsan Yaghoubi, P. L. P. Wasantha, Rudi van Staden, Maurice Guerrieri & Sam Fragomeni. (2023) Machine learning-based prediction of resilient modulus for blends of tire-derived aggregates and demolition wastes. Road Materials and Pavement Design 0:0, pages 1-22.
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Articles from other publishers (7)

Chijioke Christopher Ikeagwuani & Donald Chimobi Nwonu. (2022) Statistical analysis and prediction of spatial resilient modulus of coarse-grained soils for pavement subbase and base layers using MLR, ANN and Ensemble techniques. Innovative Infrastructure Solutions 7:4.
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Chijioke Christopher Ikeagwuani. (2021) Determination of Unbound Granular Material Resilient Modulus with MARS, PLSR, KNN and SVM. International Journal of Pavement Research and Technology 15:4, pages 803-820.
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Chijioke Christopher Ikeagwuani. (2022) Prediction of factor of safety of modified expansive soil slope modeled with non-associated flow rule considering dilatancy effect. Arabian Journal of Geosciences 15:13.
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Kazi Moinul IslamSarah L. Gassman. (2022) Influence of Subgrade Resilient Modulus Selection Methodology on AASHTOWare Pavement ME Design. Influence of Subgrade Resilient Modulus Selection Methodology on AASHTOWare Pavement ME Design.
Syed Taseer Abbas Jaffar, Malik Muneeb Abid, Sikander Zaman Khan, Turab Jafri, Zia Ur Rehman, Muhammad Atiq Ur Rehman Tariq & Anne W. M. Ng. (2022) Evaluation of Conventional and Sustainable Modifiers to Improve the Stiffness Behavior of Weak Sub-Grade Soil. Sustainability 14:5, pages 2493.
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Chijioke Christopher Ikeagwuani. (2021) Estimation of modified expansive soil CBR with multivariate adaptive regression splines, random forest and gradient boosting machine. Innovative Infrastructure Solutions 6:4.
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Chijioke Christopher Ikeagwuani & Donald Chimobi Nwonu. (2021) Influence of Dilatancy Behavior on the Numerical Modeling and Prediction of Slope Stability of Stabilized Expansive Soil Slope. Arabian Journal for Science and Engineering 46:11, pages 11387-11413.
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