<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Firstly, on the basis of the multi-objective planning model, we determine the objective function of building energy consumption, the objective function of material cost and the objective function of uncomfortable time percentage. We propose to use a multi-objective genetic algorithm to obtain the Pareto frontier solution for the decision variables of the model by selecting them. The target constraints are determined based on the construction of the building decoration project, and the model of remodeling material cost-schedule-carbon emission’ is constructed. The discrete simulation model of the decoration project is constructed based on the design parameters of the enclosure structure and air conditioning. Considering the structural rigor of the research and analysis, it is necessary to set and explain the parameters of the simulation model, and the materials of the decoration project are studied and analyzed. The results show that on the engineering case analysis, the value of building energy consumption, building cost and the value of uncomfortable time percentage have increased by 23%-45% compared with the value before optimization. In the simulation model, the optimized construction solution’s carbon emission, cost, and duration were reduced by 6.22%, 10.65%, and 45.48%, respectively, compared to the original solution. This study illustrates the aesthetic performance and functional performance on the basis of the process of new materials, which is a guiding reference value for the application of new materials in architectural decoration engineering.</p>
</abstract>

Firstly, on the basis of the multi-objective planning model, we determine the objective function of building energy consumption, the objective function of material cost and the objective function of uncomfortable time percentage. We propose to use a multi-objective genetic algorithm to obtain the Pareto frontier solution for the decision variables of the model by selecting them. The target constraints are determined based on the construction of the building decoration project, and the model of remodeling material cost-schedule-carbon emission’ is constructed. The discrete simulation model of the decoration project is constructed based on the design parameters of the enclosure structure and air conditioning. Considering the structural rigor of the research and analysis, it is necessary to set and explain the parameters of the simulation model, and the materials of the decoration project are studied and analyzed. The results show that on the engineering case analysis, the value of building energy consumption, building cost and the value of uncomfortable time percentage have increased by 23%-45% compared with the value before optimization. In the simulation model, the optimized construction solution’s carbon emission, cost, and duration were reduced by 6.22%, 10.65%, and 45.48%, respectively, compared to the original solution. This study illustrates the aesthetic performance and functional performance on the basis of the process of new materials, which is a guiding reference value for the application of new materials in architectural decoration engineering.

Process Exploration of New Materials for Building Decoration Engineering Based on Multi-Objective Planning Modeling

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Firstly, on the basis of the multi-objective planning model, we determine the objective function of building energy consumption, the objective function of...

Process Exploration of New Materials for Building Decoration Engineering Based on Multi-Objective Planning Modeling

Publié en ligne: 25 nov. 2023

Pages: -

Reçu: 29 janv. 2023

Accepté: 05 juin 2023

DOI: https://doi.org/10.2478/amns.2023.2.01226

Mots clés
Multi-objective planning model, Objective function, Decision variables, Multi-objective genetic algorithm, Architectural decoration project, Material process

© 2023 Xiang Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Process Exploration of New Materials for Building Decoration Engineering Based on Multi-Objective Planning Modeling

Publié en ligne: 25 nov. 2023

Pages: -

Reçu: 29 janv. 2023

Accepté: 05 juin 2023

DOI: https://doi.org/10.2478/amns.2023.2.01226

Mots clésMulti-objective planning model, Objective function, Decision variables, Multi-objective genetic algorithm, Architectural decoration project, Material process

© 2023 Xiang Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Multi-objective planning model, Objective function, Decision variables, Multi-objective genetic algorithm, Architectural decoration project, Material process