Kasun Wijesooriya

An explainable machine learning approach to predict the compressive strength of graphene oxide-based concrete

D.P.P. Meddage, Isuri Fonseka, Damith Mohotti et al. · Construction and Building Materials · 2024 · 69 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +16

Comparison of Reynolds Averaging Navier-Stokes (RANS) turbulent models in predicting wind pressure on tall buildings

Damith Mohotti, Kasun Wijesooriya, Daniel Dias‐da‐Costa · Journal of Building Engineering · 2018 · 66 citations

Engineering, Building Science, Meteorology +17

Influence of Graphene oxide on abrasion resistance and strength of concrete

Isuri Fonseka, Damith Mohotti, Kasun Wijesooriya et al. · Construction and Building Materials · 2023 · 57 citations · Full text

Engineering, Materials Engineering, Materials Science +17

Predicting transient wind loads on tall buildings in three-dimensional spatial coordinates using machine learning

D.P.P. Meddage, Damith Mohotti, Kasun Wijesooriya · Journal of Building Engineering · 2024 · 47 citations · Full text

Engineering, Building Science, Computational Engineering +16

Influence of graphene oxide properties, superplasticiser type, and dispersion technique on mechanical performance of graphene oxide-added concrete

Isuri Fonseka, Damith Mohotti, Kasun Wijesooriya et al. · Construction and Building Materials · 2024 · 41 citations · Full text

Architecture, Materials Engineering, Materials Science +17