1. Kabir M.U., Sakib S.S., Rahman I., Shahin H.M. (2019) Performance of ANN Model in Predicting the Bearing Capacity of Shallow Foundations. In: Sundaram R., Shahu J., Havanagi V. (eds) Geotechnics for Transportation Infrastructure. Lecture Notes in Civil Engineering, vol 29. Springer, Singapore. https://doi.org/10.1007/978-981-13-6713-7_55
2. Zaman, M., Mita, K.S., Azad, A.A., Hossain, R., Ul, M., Kabir, & Shahin, H.M. (2019). A NUMERICAL STUDY ON SLOPE STABILITY ANALYSIS BY FINITE ELEMENT METHOD USING FEMTIJ-2D APPLICATION.
Link: jidpus.buet.ac.bd/ICDRM2019/resources/proceedings-papers/30_ICDRM_2019_Proceedings.pdf
Calculation of surface settlement along with stress & deformation developed in the proposed Karnaphuli tunnel using FEM.
Simulation of excavation phases during tunneling using FEM and also comparing that with small scale experimental prototype model.
Performing numerical simulation of static pile load test using commercial finite element program PLAXIS 2D V19.
Developing an artificial neural network (ANN) model using experimental datasets to predict pile settlement.
Comparison of performances of these models with experimental load test data & measuring the accuracy using statistical tools.
STABILITY ASSESSMENT OF ROAD-SIDE NATURAL SLOPES USING CONVENTIONAL AND NUMERICAL TECHNIQUES.