0
  • DE
  • EN
  • FR
  • Internationale Datenbank und Galerie für Ingenieurbauwerke

Anzeige

D. P. P. Meddage ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Meddage, D. P. P. / Mohotti, D. / Wijesooriya, Kasun / Lee, C. K. / Kwok, K. C. S. (2025): Interpolating wind pressure time-histories around a tall building - A deep learning-based approach. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 256 (Januar 2025).

    https://doi.org/10.1016/j.jweia.2024.105968

  2. Gatheeshgar, Perampalam / Ranasinghe, R. S. S. / Simwanda, Lenganji / Meddage, D. P. P. / Mohotti, Damith (2025): Machine learning prediction of web-crippling strength in cold-formed steel beams with staggered slotted perforations. In: Structures, v. 71 (Januar 2025).

    https://doi.org/10.1016/j.istruc.2024.108079

  3. 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 (Oktober 2024).

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

  4. 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 (Oktober 2024).

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

  5. 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

  6. 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 (Mai 2024).

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

  7. 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 (Dezember 2022).

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

  8. 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 Juli 2022).

    https://doi.org/10.3390/buildings12071001

  9. 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 (Juli 2022).

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

  10. 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

  11. 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 (Juni 2022).

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

  12. 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 (Februar 2022).

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

Eine Veröffentlichung suchen...

Nur verfügbar mit
Mein Structurae

Volltext
Structurae kooperiert mit
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine