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The wall system constitutes a large portion of the material used in building construction. Although interior walls cover more surface area within a building, published literature has mainly focused on the performance assessment of exterior walls. The aim of this research is to examine the life cycle environmental, social, and economic performance of interior wall construction methods (i.e., concrete block masonry, wood stud gypsum, and steel stud gypsum) used for industrial, commercial, and institutional buildings. The findings indicated that the environmental, social, and economic performance of concrete block masonry wall is 49%, 23%, and 18% higher than the next best alternative. This research has generated important information that can be used in material specification for greener building design. [ABSTRACT FROM AUTHOR]

Building information modeling (BIM) can be recognized as the most promising technology that was introduced to the construction sector in the recent past. The current BIM-based safety risk assessment methods ignore data uncertainty. Hence, this study integrates BIM with fuzzy set theory for safety risk prediction. A Fuzzy Inference System (FIS) was developed based on the causality of safety incidents. The FIS extracts construction project data from BIM models while automatically assessing each potential safety hazard and project's total risk. The proposed method was demonstrated by using a building project in which the safety risk was predicted as low. Safety records of the above project revealed that no safety incidents were recorded in this project. The proposed method can indicate the safety risks level at various stages of a construction project and help to enhance the safety of construction workers on a construction site. [ABSTRACT FROM AUTHOR]