MIVES Technique for Sustainability Assessment in Architecture and Civil Engineering Industries

Abstract

A subfield of computer science called artificial intelligence studies, develops, and uses intelligent computers. Massive computational resources are needed for complicated structure system modeling and optimization using traditional approaches; nevertheless, Artificial intelligence-driven solutions can often provide practical substitutes for efficiently addressing challenges in civil engineering. This paper presents a study that examines the merits and requirements of multidisciplinary collaboration between architecture and civil engineering students, focusing on the distinctions and overlaps in their aesthetic assessments and visual preferences. To illustrate the difficulties facing the Spanish Combined Value Model for Sustainability Assessment (MIVES), this research study synthesizes the different approaches for sustainability assessment for the construction industry and compares their advantages and disadvantages. The value function concept and expert seminars serve as the foundation for the Multi-Criteria Decision Making technique known as MIVES. Research indicates that the primary areas of interest for artificial intelligence studies in civil engineering are design optimization and structural maintenance and management. Finally, the primary research trends are also highlighted. An overview of artificial intelligence's advancements in civil engineering is given in this paper.