Lanh Si Ho
- (2022): Development of deep neural network model to predict the compressive strength of FRCM confined columns. Dans: Frontiers of Structural and Civil Engineering, v. 16, n. 10 (novembre 2022).
- Application of machine learning technique for predicting and evaluating chloride ingress in concrete. Dans: Frontiers of Structural and Civil Engineering, v. 16, n. 9 (septembre 2022). (2022):
- Experimental investigation on the performance of concrete incorporating fine dune sand and ground granulated blast-furnace slag. Dans: Construction and Building Materials, v. 347 (septembre 2022). (2022):
- Evaluating compressive strength of concrete made with recycled concrete aggregates using machine learning approach. Dans: Construction and Building Materials, v. 323 (mars 2022). (2022):
- Nonlinear Postbuckling of Auxetic-Core Sandwich Toroidal Shell Segments with CNT-Reinforced Face Sheets Under External Pressure. Dans: International Journal of Structural Stability and Dynamics, v. 22, n. 1 (octobre 2021). (2021):
- Computational parameter identification of strongest influence on the shear resistance of reinforced concrete beams by fiber reinforcement polymer. Dans: Structures, v. 27 (octobre 2020). (2020):
- Application of extreme learning machine in behavior of beam to column connections. Dans: Structures, v. 25 (juin 2020). (2020):
- Analysis of strength development in cement-treated soils under different curing conditions through microstructural and chemical investigations. Dans: Construction and Building Materials, v. 166 (mars 2018). (2018):
- Strength development of cement-treated soils: Effects of water content, carbonation, and pozzolanic reaction under drying curing condition. Dans: Construction and Building Materials, v. 134 (mars 2017). (2017):