Publications

[13] Agarwal, E., Luo, N., Liu., K (2025). Probabilistic analyses of geosynthetic-reinforced pile-supported embankments using design methods and 3D finite element models considering soil variability. Geotextiles and Geomembranes, Elsevier (IF: 4.7) (Article).

[12] Agarwal, E., Pain, A., Ramakrishna Annapareddy, V. S., Zhou, A. (2024). Probabilistic stability analysis of reinforced retaining structures in unsaturated conditions. International Journal of Geomechanics, ASCE (IF: 3.7) (Article)

[11] Luo, N., Agarwal, E. (2024). Seismic Stability and Failure Mechanisms of Gentle and Steep Slopes in Spatially Variable Soils. Soil Dynamics and Earthquake Engineering (IF: 4.2) (Article)

[10] Verma, A. K., Pain, A., & Agarwal, E. (2024). An Efficient Probabilistic Approach to Analyse the Tunnel Supports with Ambiguous Probability Distribution Function of Input Parameters. International Journal of Geomechanics, ASCE (IF: 3.7)

[9] Ramakrishna Annapareddy, VS., Sharma, M., Godas, S., Agarwal, E. (2024). Influence of Surcharge and Foundation Soil on the Seismic Stability of Helical Soil-Nail Walls. Indian Geotechnical Journal, Springer (IF: 1.4) (Article)

[8] Agarwal, E., & Pain, A. (2022). Reliability assessment of reinforced slopes with unknown probability distribution. Geosynthetics International, ICE (IF: 4.565 (Article)

[7] Agarwal, E., Sharma, M., & Pain, A. (2022). Efficient surrogate model-based probabilistic analysis of helical soil nailed wall under seismic conditions. European Journal of Environmental and Civil Engineering, Taylor and Francis (IF: 2.1) (Article)

[6] Verma, A. K., Pain, A., Agarwal, E., & Pradhan, D (2022). Reliability assessment of tunnels under epistemic uncertainties using machine learning algorithms: a comparative study of MARS, MGGP, and CSRSM. Indian Geotechnical Journal, Springer (IF: 1.4) (Article)

[5] Omowumi, F. P., Agarwal, E., Pain, A., Dash, R. K., & Kanungo, D. P. (2021). A data-driven efficient framework for the probabilistic slope stability analysis of Pakhi landslide, Garhwal Himalaya. Journal of Earth System Sciences, Springer (IF: 1.9) (Article)

[4] Agarwal, E., & Pain, A. (2021). Efficient probabilistic stability analysis of geosynthetic reinforced slopes using collocation-based Stochastic Response Surface. International Journal of Geomechanics, ASCE (IF: 3.7) (Article)

[3] Agarwal, E., & Pain, A. (2021). Probabilistic stability analysis of geosynthetic-reinforced slopes under pseudo-static and modified pseudo-dynamic conditions. Geotextiles and Geomembranes, Elsevier (IF: 5.2) (Article)

[2] Agarwal, E., Pain, A., & Sarkar, S. (2021). Stochastic stability analysis of geosynthetic reinforced slopes subjected to harmonic base shaking. Transportation Geotechnics, Elsevier (IF: 5.3) (Article)

[1] Agarwal, E., Pain, A., Mukhopadhyay, T., Metya, S., & Sarkar, S. (2021). Efficient computational system reliability analysis of reinforced soil-retaining structures under seismic conditions including the effect of simulated noise. Engineering with Computers, Springer (IF: 8.7) (Article)

[10] Agarwal, E., Zheng, L., Liu, F., Luo, N. (2025). DEM study on the influence of void ratio heterogeneity within broadly graded coarse tailings. In: GeoManitoba 2025, Winnipeg, Manitoba, Canada (accepted).

[9] Agarwal, E., Luo, N. (2025). Advanced CFD-DEM analysis of coastal sand dunes under wave attack. In: Geo-Extreme 2025, Long Beach, CA (accepted).

[8] Agarwal, E., Pei, T., Luo, N. (2025). Towards Robust and Adaptive Bearing Capacity Prediction for Dry Shallow Foundations Using Physics-Informed Machine Learning. In: Geo-Extreme 2025, Long Beach, CA (accepted).

[7] Agarwal, E., Zhang, X., Luo, N. (2025). 2D Numerical Modelling of Pavements on Expansive Soil in Extreme Climates. In: Geotechnical Frontiers 2025, Louisville, Kentucky (Article)

[6] Agarwal, E., Luo, N. (2024). Probabilistic three-dimensional finite element analysis of geosynthetic-reinforced pile-supported embankments. In: GeoShanghai International Conference 2024 (Article)

[5] Agarwal, E., Pain, A., & Zhou, A. (2022). Probabilistic assessment of reinforced soil walls using fourth-moment normal transformation. In: Proceedings of TV Seminars and Mining One International Slope Stability Conference (TMIC 2022). Atlantis Press, Springer Nature (Article)

[4] Agarwal, E., Pain, A., & Sarkar, S. (2021). Stochastic response surface-based probabilistic analysis of geosynthetic reinforced soil slope under pseudo-static conditions. In: Proceedings of 7th International Conference on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics (7ICRAGEE 2021). Lecture Notes in Civil Engineering, Springer (Article)

[3] Agarwal, E., Verma, A. K., Pain, A., & Sarkar, S. (2021). Probabilistic Analysis of a Geosynthetic Reinforced Soil Retaining Structure under Seismic Conditions using Machine Learning based Genetic Programming. In: Proceedings of Indian Geotechnical Conference (IGC 2021). Lecture Notes in Civil Engineering, Springer (Article)

[2] Agarwal, E., Sharma, M., & Pain, A. (2021). Probabilistic stability analysis of helical soil nailed wall using the Monte-Carlo Simulation. In: Proceedings of Virtual Conference on Disaster Risk Reduction (VCDRR 2021). Lecture Notes in Civil Engineering, Springer (Article)

[1] Agarwal, E., Pain, A., & Sarkar, S. (2020). Probabilistic Analysis of Reinforced Soil Retaining Structures using FORM and Surrogate based Monte-Carlo Simulation. In: Proceedings of Indian Geotechnical Conference (IGC 2020). Lecture Notes in Civil Engineering, Springer (Article)

[1] Pain, A., & Agarwal, E. (2021) Retaining walls - reliability-based approach. In: ICE Handbook of Geosynthetic Engineering: Geosynthetics and their applications (Chapter)