The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations
In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to
combat global climate change. We identify two crucial opportunities that AI offers in this …
combat global climate change. We identify two crucial opportunities that AI offers in this …
[HTML][HTML] Application of machine learning initiatives and intelligent perspectives for CO2 emissions reduction in construction
L Farahzadi, M Kioumarsi - Journal of Cleaner Production, 2023 - Elsevier
The construction sector is one of the main contributors to carbon dioxide (CO 2) emission
and causes of global warming. CO 2 mitigation solutions are vital. New technologies can …
and causes of global warming. CO 2 mitigation solutions are vital. New technologies can …
Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …
demands advances in materials, devices, and systems of the construction industry …
Optimization of fresh and mechanical characteristics of carbon fiber-reinforced concrete composites using response surface technique
As a top construction material worldwide, concrete has core weakness relating to low tensile
resistance without reinforcement. It is the reason that a variety of innovative materials are …
resistance without reinforcement. It is the reason that a variety of innovative materials are …
Prediction and optimization model of sustainable concrete properties using machine learning, deep learning and swarm intelligence: A review
S Wang, P Xia, K Chen, F Gong, H Wang… - Journal of Building …, 2023 - Elsevier
Among the many sustainability challenges in the construction industry, those related to the
application of concrete and its components are the most critical. Particularly, the production …
application of concrete and its components are the most critical. Particularly, the production …
Reducing embodied carbon in concrete materials: A state-of-the-art review
The construction sector is responsible for about 40% of energy-related emissions worldwide.
Utilizing low-carbon concrete materials (LCCMs) has been recognized as an efficient way to …
Utilizing low-carbon concrete materials (LCCMs) has been recognized as an efficient way to …
Optimisation of mechanical characteristics of alkali-resistant glass fibre concrete towards sustainable construction
Concrete is a worldwide construction material, but it has inherent faults, such as a low
tensile strength, when not reinforced with steel or other forms of reinforcement. Various …
tensile strength, when not reinforced with steel or other forms of reinforcement. Various …
Effects of jute fiber on fresh and hardened characteristics of concrete with environmental assessment
Concrete is a widely utilized construction material globally; however, it is characterized by a
fundamental deficiency in its tensile strength when it is not reinforced. The incorporation of …
fundamental deficiency in its tensile strength when it is not reinforced. The incorporation of …
Enhancing the mechanical and environmental performance of engineered cementitious composite with metakaolin, silica fume, and graphene nanoplatelets
Engineering cementitious composites are designed to offer high ductility, enhanced
strength, and enhanced impact resistance as rehabilitation materials for various support …
strength, and enhanced impact resistance as rehabilitation materials for various support …
[HTML][HTML] A hybrid strategy of AutoML and SHAP for automated and explainable concrete strength prediction
B Sun, W Cui, G Liu, B Zhou, W Zhao - Case Studies in Construction …, 2023 - Elsevier
The precise prediction of concrete compressive strength is essential for ensuring safe and
reliable infrastructure design and construction. However, traditional empirical models often …
reliable infrastructure design and construction. However, traditional empirical models often …