In recent years, significant efforts have been dedicated to the research and development of Intelligent and Sustainable Construction Materials (ISCM). These endeavors aim to enhance the intelligence and sustainability of construction materials. This pivot addresses the evolving demands of the industry for high performance and intelligent features while mitigating environmental concerns through reduced energy consumption and diminished CO2 emissions.

Achieving these objectives requires a comprehensive approach encompassing experimental investigation, computational analysis, and real-world application. Experimental investigation thoroughly evaluates the mechanical properties, durability, and environmental characteristics of ISCMs under diverse environmental conditions, including exposure to moisture, temperature variations, and chemical agents. Complementing these experimental investigations, computational analysis techniques, such as molecular dynamics (MD), finite element model (FEM), and computational fluid dynamics coupled with the discrete element model (CFD-DEM), enable researchers to simulate and predict material behavior in virtual environments. Incorporating these materials into actual construction projects allows researchers to assess their performance, compatibility with existing industry standards, and feasibility in delivering environmental benefits, and thereby offers valuable insights into the construction processes, cost-efficiency, and environmental impact of ISCMs.

The subtopics for submissions include, but are not limited to:
• Testing and performance enhancement of intelligent materials such as 3D printed concrete, FRP sensors, geopolymer coatings, self-healing concrete, limestone calcined clay cement, shape memory polymers
• Investigation of eco-friendly construction materials (e.g., MgO concrete, Limestone calcined clay cement, recycled aggregate, wasted glass) and their properties
• The use of advanced construction materials for energy efficiency and minimized environmental impact
• Application of numerical modeling for structural analysis using finite element method or discrete element method
• Characterization of materials’ physical, chemical, and mechanical properties through molecular dynamic simulation
• Multiscale research on construction materials from the atomic to the structural level
• Computational methods for predicting the behavior and performance of sustainable construction materials
• The integration of artificial intelligence and machine learning in analyzing construction materials

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Frontiers in Built Environment

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