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).
- (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).
- (2021): 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).
- (2020): 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).
- (2018): 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).
- (2017): 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).
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