Concrete production often relies on natural aggregates,which can lead to resource depletion and environmental harm.In addition,improper disposal of thermoplastic waste exacerbates ecological problems.Although signific...Concrete production often relies on natural aggregates,which can lead to resource depletion and environmental harm.In addition,improper disposal of thermoplastic waste exacerbates ecological problems.Although significant attention has recently been given to recycling various waste materials into concrete,studies specifically addressing thermoplastic recycled aggregates are still trending.This underscores the need to comprehensively review existing literature,identify research trends,and recognize gaps in understanding the mechanical performance of thermoplastic-based recycled aggregate concrete.Accordingly,this review summarizes recent investigations focused on the mechanical properties of thermoplastic-based recycled aggregate concrete,emphasizing aspects such as compressive strength,tensile behavior,modulus of elasticity,and durability characteristics.The primary aim is to consolidate scattered research findings,identify key parameters influencing mechanical behavior,and propose future research directions.Understanding the influence of recycled thermoplastic aggregates on concrete performance significantly supports sustainable construction practices by reducing dependency on virgin aggregates and mitigating environmental impacts associated with waste disposal.In addition,assessing mechanical performance contributes to confidence in the practical application,encouraging the broader adoption of thermoplastic-based recycled aggregate concrete in construction projects.Through this critical synthesis,the review guides researchers and industry practitioners toward informed decisions on the feasibility and reliability of integrating thermoplastic waste into concrete,thereby promoting sustainable infrastructure development.展开更多
Artificial intelligence (AI) is transforming the building and construction sector, enabling enhanced design strategies for achieving durable and sustainable structures. Traditional methods of design and construction o...Artificial intelligence (AI) is transforming the building and construction sector, enabling enhanced design strategies for achieving durable and sustainable structures. Traditional methods of design and construction often struggle to adequately predict building longevity, optimize material use, and maintain sustainability throughout a building’s lifecycle. AI technologies, including machine learning, deep learning, and digital twins, present advanced capabilities to overcome these limitations by providing precise predictive analytics, real-time monitoring, and proactive maintenance solutions. This study explores the benefits of integrating AI into building design and construction processes, highlighting key advantages such as improved durability, optimized resource efficiency, and heightened alignment with sustainability goals. As part of this study, the durability aspects are assessed through a strengths, weaknesses, opportunities, and threats analysis. In addition, a sustainability assessment is carried out, taking into account environmental, economic, and social factors, as well as alignment with the United Nations Sustainable Development Goals. Generally, AI-driven predictive models significantly enhance structural durability by forecasting material performance, corrosion risks, and building lifespans with high accuracy. Similarly, AI facilitates sustainable practices by optimizing energy consumption, integrating renewable energy systems efficiently, and significantly reducing carbon footprints. Despite these considerable benefits, implementing AI in the construction industry faces several challenges, including technological complexity, data management concerns, and industry readiness. Nonetheless, future directions emphasize continued development of user-friendly AI platforms, expanded industry collaboration, and rigorous exploration of AI’s transformative potential in sustainable and resilient architecture. Overall, AI is expected to redefine the built environment, delivering buildings that are durable and sustainably integrated within their ecological and social contexts.展开更多
文摘Concrete production often relies on natural aggregates,which can lead to resource depletion and environmental harm.In addition,improper disposal of thermoplastic waste exacerbates ecological problems.Although significant attention has recently been given to recycling various waste materials into concrete,studies specifically addressing thermoplastic recycled aggregates are still trending.This underscores the need to comprehensively review existing literature,identify research trends,and recognize gaps in understanding the mechanical performance of thermoplastic-based recycled aggregate concrete.Accordingly,this review summarizes recent investigations focused on the mechanical properties of thermoplastic-based recycled aggregate concrete,emphasizing aspects such as compressive strength,tensile behavior,modulus of elasticity,and durability characteristics.The primary aim is to consolidate scattered research findings,identify key parameters influencing mechanical behavior,and propose future research directions.Understanding the influence of recycled thermoplastic aggregates on concrete performance significantly supports sustainable construction practices by reducing dependency on virgin aggregates and mitigating environmental impacts associated with waste disposal.In addition,assessing mechanical performance contributes to confidence in the practical application,encouraging the broader adoption of thermoplastic-based recycled aggregate concrete in construction projects.Through this critical synthesis,the review guides researchers and industry practitioners toward informed decisions on the feasibility and reliability of integrating thermoplastic waste into concrete,thereby promoting sustainable infrastructure development.
文摘Artificial intelligence (AI) is transforming the building and construction sector, enabling enhanced design strategies for achieving durable and sustainable structures. Traditional methods of design and construction often struggle to adequately predict building longevity, optimize material use, and maintain sustainability throughout a building’s lifecycle. AI technologies, including machine learning, deep learning, and digital twins, present advanced capabilities to overcome these limitations by providing precise predictive analytics, real-time monitoring, and proactive maintenance solutions. This study explores the benefits of integrating AI into building design and construction processes, highlighting key advantages such as improved durability, optimized resource efficiency, and heightened alignment with sustainability goals. As part of this study, the durability aspects are assessed through a strengths, weaknesses, opportunities, and threats analysis. In addition, a sustainability assessment is carried out, taking into account environmental, economic, and social factors, as well as alignment with the United Nations Sustainable Development Goals. Generally, AI-driven predictive models significantly enhance structural durability by forecasting material performance, corrosion risks, and building lifespans with high accuracy. Similarly, AI facilitates sustainable practices by optimizing energy consumption, integrating renewable energy systems efficiently, and significantly reducing carbon footprints. Despite these considerable benefits, implementing AI in the construction industry faces several challenges, including technological complexity, data management concerns, and industry readiness. Nonetheless, future directions emphasize continued development of user-friendly AI platforms, expanded industry collaboration, and rigorous exploration of AI’s transformative potential in sustainable and resilient architecture. Overall, AI is expected to redefine the built environment, delivering buildings that are durable and sustainably integrated within their ecological and social contexts.
