Eco-Friendly Design and Sustainability Assessments of Fibre-Reinforced High-Strength Concrete Structures Automated by Data-Driven Machine Learning Models

Engineering & Materials Science

• Ecodesign 100%
• Concrete construction 75%
• Sustainable development 72%
• Machine learning 59%
• Fibers 55%
• Fiber reinforced concrete 47%
• Concretes 21%
• Shear strength 15%
• Momentum 14%
• Neural networks 14%
• Carbon 12%
• Stiffness 11%
• Steel fibers 9%
• Structural properties 8%
• Construction industry 8%
• High strength steel 8%
• Gas emissions 8%
• Greenhouse gases 8%
• Structural design 7%
• Industrial applications 7%
• Deep learning 7%
• Ductility 7%
• Costs 3%

Earth & Environmental Sciences

• concrete structure 99%
• machine learning 81%
• sustainability 60%
• fiber 60%
• reinforced concrete 52%
• prediction 40%
• carbon emission 18%
• stiffness 17%
• shear strength 17%
• momentum 15%
• price 14%
• circular economy 11%
• construction industry 10%
• cost-benefit 10%
• ductility 10%
• eigenvalue 10%
• greenhouse gas emissions 7%
• learning 7%
• forecasting 6%
• steel 6%
• evaluation 4%
• parameter 3%
• analysis 2%
• effect 2%

Social Sciences

• sustainability 60%
• neural network 32%
• learning 27%
• synergetics 12%
• construction industry 10%
• research focus 8%
• performance 8%
• economy 5%
• costs 5%
• evaluation 4%
• time 3%