All Outputs (3)

A BIM-based framework for designing sustainable structures through the reuse of precast concrete components (2023)
Conference Proceeding
Al-Jawhar, H., Thermou, G., Osorio-Sandoval, C., & Tokbolat, S. (2023). A BIM-based framework for designing sustainable structures through the reuse of precast concrete components. In Proceedings of the 20th International Conference on Sustainable Energy Technologies (201-210)

The widespread use of concrete within the global construction sector is primarily attributed to its inherent qualities of resilience, versatility, longevity, and facilitation of economic growth. Nevertheless, it is noteworthy that this popular materi... Read More about A BIM-based framework for designing sustainable structures through the reuse of precast concrete components.

BIM-based building circularity assessment: conceptual framework (2023)
Conference Proceeding
Al-Qazzaz, I., Osorio-Sandoval, C., Tokbolat, S., & Thermou, G. (2023). BIM-based building circularity assessment: conceptual framework. In Proceedings of the 20th International Conference on Sustainable Energy Technologies (130-137)

The construction sector contributes substantially to the consumption of raw materials and the production of waste. Traditional building design strategies are based on an unsustainable economic linear model. Transition to the circular economy (CE) par... Read More about BIM-based building circularity assessment: conceptual framework.

Deep Neural Networks for visual bridge inspections and defect visualisation in Civil Engineering (2021)
Conference Proceeding
Bush, J., Corradi, T., Ninić, J., Thermou, G., & Bennetts, J. (2021). Deep Neural Networks for visual bridge inspections and defect visualisation in Civil Engineering. In J. Abualdenien, A. Borrmann, L. Ungureanu, & T. Hartmann (Eds.), EG-ICE 2021 Workshop on Intelligent Computing in Engineering (421-431)

Ageing infrastructure is a global concern, and current structural health monitoring practices are coming under review. With a view to streamline the visual bridge inspection process, we assess the classification performance of two Deep Neural Network... Read More about Deep Neural Networks for visual bridge inspections and defect visualisation in Civil Engineering.