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D. P. P. Meddage ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Meddage, D. P. P. / Fonseka, Isuri / Mohotti, D. / Wijesooriya, K. / Lee, C. K. (2024): An explainable machine learning approach to predict the compressive strength of graphene oxide-based concrete. In: Construction and Building Materials, v. 449 (October 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.138346

  2. Okasha, Nader M. / Mirrashid, Masoomeh / Naderpour, Hosein / Ozyuksel Ciftcioglu, Aybike / Meddage, D. P. P. / Ezami, Nima (2024): Machine learning approach to predict the mechanical properties of cementitious materials containing carbon nanotubes. In: Developments in the Built Environment, v. 19 (October 2024).

    https://doi.org/10.1016/j.dibe.2024.100494

  3. Widanage, C. / Mohotti, D. / Lee, C. K. / Wijesooriya, K. / Meddage, D. P. P. (2024): Use of explainable machine learning models in blast load prediction. In: Engineering Structures, v. 312 (August 2024).

    https://doi.org/10.1016/j.engstruct.2024.118271

  4. Meddage, D. P. P. / Mohotti, Damith / Wijesooriya, Kasun (2024): Predicting transient wind loads on tall buildings in three-dimensional spatial coordinates using machine learning. In: Journal of Building Engineering, v. 85 (May 2024).

    https://doi.org/10.1016/j.jobe.2024.108725

  5. Meddage, D. P. P. / Chadee, Aaron / Jayasinghe, M. T. R. / Rathnayake, Upaka (2022): Exploring the applicability of expanded polystyrene (EPS) based concrete panels as roof slab insulation in the tropics. In: Case Studies in Construction Materials, v. 17 (December 2022).

    https://doi.org/10.1016/j.cscm.2022.e01361

  6. Gamage, Sajani / Palitha, Sandini / Meddage, D. P. P. / Mendis, Shayani / Azamathulla, Hazi Md. / Rathnayake, Upaka (2022): Influence of Crumb Rubber and Coconut Coir on Strength and Durability Characteristics of Interlocking Paving Blocks. In: Buildings, v. 12, n. 7 (5 July 2022).

    https://doi.org/10.3390/buildings12071001

  7. Meddage, D. P. P. / Ekanayake, I. U. / Weerasuriya, A. U. / Lewangamage, C. S. / Tse, K. T. / Miyanawala, T. P. / Ramanayaka, C. D. E. (2022): Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 226 (July 2022).

    https://doi.org/10.1016/j.jweia.2022.105027

  8. Dharmasena, P. M. / Meddage, D. P. P. / Mendis, A. S. M. (2022): Investigating applicability of sawdust and retro-reflective materials as external wall insulation under tropical climatic conditions. In: Asian Journal of Civil Engineering, v. 23, n. 4 (April 2022).

    https://doi.org/10.1007/s42107-022-00440-0

  9. Ekanayake, I. U. / Meddage, D. P. P. / Rathnayake, Upaka (2022): A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP). In: Case Studies in Construction Materials, v. 16 (June 2022).

    https://doi.org/10.1016/j.cscm.2022.e01059

  10. Meddage, D. P. P. / Lewangamage, C. S. / Weerasuriya, A. U. (2022): On the deviation of mean pressure coefficients in wind loading standards for a low-rise, gable-roofed building with boundary walls. In: Structures, v. 36 (February 2022).

    https://doi.org/10.1016/j.istruc.2021.12.003

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