TAILIEUCHUNG - A hybrid fuzzy-optimization method for modeling construction emissions

This paper introduces a building information modeling (BIM)-based model to evaluate the environmental and economic consequences of different project alternatives. The model calculates direct, indirect emissions and primary energy for the overall project life cycle. | A hybrid fuzzy-optimization method for modeling construction emissions Decision Science Letters 9 2020 1 20 Contents lists available at GrowingScience Decision Science Letters homepage dsl A hybrid fuzzy-optimization method for modeling construction emissions Mohamed Marzouka and Eslam Mohammed Abdelakderb aProfessor of construction Engineering and Management Structural Engineering Department Faculty of Engineering Cairo University Egypt . Candiate Department of Building Civil and Environmental Engineering Concordia University Montreal QC Canada CHRONICLE ABSTRACT Article history Construction emissions have become a major concern that has risen extensively in the last few Received July 25 2019 decades. This paper introduces a building information modeling BIM -based model to evaluate Received in revised format the environmental and economic consequences of different project alternatives. The model July 25 2019 calculates direct indirect emissions and primary energy for the overall project life cycle. A Accepted September 14 2019 Available online hybrid fuzzy multi-objective non-dominated sorting genetic algorithm II NSGA-II problem is September 14 2019 designed to model the uncertainties associated with the quantification of the judging attributes Keywords and consequently to find the most sustainable materials by minimizing the objective functions Construction emissions project duration project life cycle cost project overall emissions and total project primary Building information modelling energy. Finally TOPSIS is applied to select the most sustainable material for each construction Fuzzy component among the set of Pareto optimal solutions. A case study of an academic building in Non-dominated sorting genetic Saudi Arabia is presented in order to exemplify the practical features of the proposed model. algorithm II TOPSIS 2020 by the authors licensee Growing Science Canada. 1. Introduction Climate change is a mandatory phenomenon. .

• Cơ khí - Chế tạo máy
• Building information modelling Fuzzy
• Non dominated sorting genetic algorithm II
• Building information modeling
• Hybrid fuzzy optimization method
• Modeling construction emission