D. P. P. Meddage
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
D. P. P. Meddage has a total of 39 co-authors. Here are the top co-authors by number of shared publications:
Gangani Dharmarathne
3 shared publicationsI.U. Ekanayake
3 shared publications- Upaka Rathnayake
Department of Civil Engineering and Construction, Faculty of Engineering and Design, Atlantic Technological University, F91 YW50 Sligo, Ireland
3 shared publications - Chi King Lee
School of Engineering and Technology, University of New South Wales, Canberra, Australia
2 shared publications - Damith Mohotti
The University of New South Wales
2 shared publications - Kasun Wijesooriya2 shared publications
Latest Publications
- Open Access
- 3 April 2026
- Published by Elsevier in Journal of Building Engineering
- Vol. 124
Automated design of reinforced concrete dapped-end connections using hybrid deep learning and generative AI augmentation
- 3 April 2026
- Published by Elsevier in Journal of Building Engineering
- Vol. 124
Open AccessAutomated design of reinforced concrete dapped-end connections using hybrid deep learning and generative AI augmentation
- Open Access
- 11 March 2026
- Published by Elsevier in Engineering Structures
- Vol. 357
Investigation of inelastic response ratios for buildings with damping subjected to near-fault ground motions using numerical simulations and transformer-based models
- 11 March 2026
- Published by Elsevier in Engineering Structures
- Vol. 357
Open AccessInvestigation of inelastic response ratios for buildings with damping subjected to near-fault ground motions using numerical simulations and transformer-based models
- Open Access
- 27 January 2026
- Published by Elsevier in Journal of Building Engineering
- Vol. 120
Surrogate modelling of unsteady wind pressure on tall buildings with varying slenderness and side ratios using attention-based neural networks
- 27 January 2026
- Published by Elsevier in Journal of Building Engineering
- Vol. 120
Open AccessSurrogate modelling of unsteady wind pressure on tall buildings with varying slenderness and side ratios using attention-based neural networks
- Open Access
- 16 November 2025
- Published by Elsevier in Journal of Building Engineering
- Vol. 117
Code-compliant optimal design of reinforced concrete slab beam systems for low to mid-rise buildings using heterogeneous graph neural networks with attention layers
- 16 November 2025
- Published by Elsevier in Journal of Building Engineering
- Vol. 117
Open AccessCode-compliant optimal design of reinforced concrete slab beam systems for low to mid-rise buildings using heterogeneous graph neural networks with attention layers
- Top Cited PapersOpen Access
- 1 May 2025
- Published by Elsevier in Results in Engineering
- Vol. 26
A review of machine learning and internet-of-things on the water quality assessment: Methods, applications and future trends
- 1 May 2025
- Published by Elsevier in Results in Engineering
- Vol. 26
Top Cited PapersOpen AccessA review of machine learning and internet-of-things on the water quality assessment: Methods, applications and future trends
- Open Access
- 26 November 2024
- Published by Elsevier in Journal of Wind Engineering and Industrial Aerodynamics
- Vol. 256
Interpolating wind pressure time-histories around a tall building - A deep learning-based approach
- 26 November 2024
- Published by Elsevier in Journal of Wind Engineering and Industrial Aerodynamics
- Vol. 256
Open AccessInterpolating wind pressure time-histories around a tall building - A deep learning-based approach
- Top Cited PapersOpen Access
- 9 April 2024
- Published by Elsevier in Results in Engineering
- Vol. 22
Adapting cities to the surge: A comprehensive review of climate-induced urban flooding
- 9 April 2024
- Published by Elsevier in Results in Engineering
- Vol. 22
Top Cited PapersOpen AccessAdapting cities to the surge: A comprehensive review of climate-induced urban flooding
- Open Access
Performances of Holiday Climate Index (HCI) for Urban and Beach Destinations in Sri Lanka under Changing Climate
Climate change has had a significant impact on the tourism industry in many countries, leading to changes in policies and adaptations to attract more visitors. However, there are few studies on the effects of climate change on Sri Lanka’s tourism industry and income, despite its importance as a destination for tourists. A study was conducted to analyze the holiday climate index (HCI) for Sri Lanka’s urban and beach destinations to address this gap. The analysis covered historical years (2010–2018) and forecasted climatic scenarios (2021–2050 and 2071–2100), and the results were presented as colored maps to highlight the importance of HCI scores. Visual analysis showed some correlation between HCI scores and tourist arrivals, but the result of the overall correlation analysis was not significant. However, a country-specific correlation analysis revealed interesting findings, indicating that the changing climate can be considered among other factors that impact tourist arrivals. The research proposes that authorities assess the outcomes of the study and conduct further research to develop adaptive plans for Sri Lanka’s future tourism industry. The study also investigated potential scenarios for beach and urban destinations under two climate scenarios (RCP 4.5 and RCP 8.5) for the near and far future, presenting the findings to tourism industry stakeholders for any necessary policy changes. As Sri Lanka expects more Chinese visitors in the future due to ongoing development projects, this study could be valuable for policymakers and industry stakeholders when adapting to changing climate and future tourist behavior. While more research is needed to fully understand the effects of climate change on Sri Lanka’s tourism industry, this study serves as a starting point for future investigations.
Open AccessPerformances of Holiday Climate Index (HCI) for Urban and Beach Destinations in Sri Lanka under Changing Climate
Climate change has had a significant impact on the tourism industry in many countries, leading to changes in policies and adaptations to attract more visitors. However, there are few studies on the effects of climate change on Sri Lanka’s tourism industry and income, despite its importance as a destination for tourists. A study was conducted to analyze the holiday climate index (HCI) for Sri Lanka’s urban and beach destinations to address this gap. The analysis covered historical years (2010–2018) and forecasted climatic scenarios (2021–2050 and 2071–2100), and the results were presented as colored maps to highlight the importance of HCI scores. Visual analysis showed some correlation between HCI scores and tourist arrivals, but the result of the overall correlation analysis was not significant. However, a country-specific correlation analysis revealed interesting findings, indicating that the changing climate can be considered among other factors that impact tourist arrivals. The research proposes that authorities assess the outcomes of the study and conduct further research to develop adaptive plans for Sri Lanka’s future tourism industry. The study also investigated potential scenarios for beach and urban destinations under two climate scenarios (RCP 4.5 and RCP 8.5) for the near and far future, presenting the findings to tourism industry stakeholders for any necessary policy changes. As Sri Lanka expects more Chinese visitors in the future due to ongoing development projects, this study could be valuable for policymakers and industry stakeholders when adapting to changing climate and future tourist behavior. While more research is needed to fully understand the effects of climate change on Sri Lanka’s tourism industry, this study serves as a starting point for future investigations.