Abstract
Stochastic modelling and probabilistic analysis of concrete members are very time-demanding, especially for nonlinear finite element analysis of concrete structures. This paper presents an application of weighted Latin hypercube sampling method in stochastic modelling of shear strength of reinforced concrete beams, which takes into account the sensitivity factors regarding the behaviour of the considered system. The results show with only a few simulations the statistical values of the load-bearing capacities of concrete structures can be determined with high accuracy if weighted Latin hypercube sampling is used.
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Tran, N.L., Le-Nguyen, K. (2020). Application of weighted Latin hypercube sampling in stochastic modelling of shear strength of RC beams. In: Ha-Minh, C., Dao, D., Benboudjema, F., Derrible, S., Huynh, D., Tang, A. (eds) CIGOS 2019, Innovation for Sustainable Infrastructure. Lecture Notes in Civil Engineering, vol 54. Springer, Singapore. https://doi.org/10.1007/978-981-15-0802-8_46
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DOI: https://doi.org/10.1007/978-981-15-0802-8_46
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