Quality Evaluation Approach for Prefabricated Buildings Using Ant Colony Algorithm and Simulated Annealing Algorithm to Optimize the Projection Pursuit Model
Abstract
:1. Introduction
1.1. Background of the Study
1.2. Literature Review
1.2.1. Research on Quality Assessment of Prefabricated Buildings
1.2.2. Ant Colony Algorithm
1.2.3. Projection Pursuit Methods
1.2.4. Simulated Annealing Algorithm
1.3. Problems and Main Contributions
2. Research Method
2.1. Evaluation Process
2.2. Prefabricated Component Combination Solution Method Based on Ant Colony
2.3. Simulated Annealing Algorithm to Optimize the Projection Pursuit Evaluation Model
2.4. Quality Evaluation Model of Prefabricated Component Combination
2.4.1. Quality Evaluation Index System
2.4.2. Quantification of Prefabricated Component Quality Indicators
3. Results and Discussion
3.1. Project Background
- (1)
- Since prefabricated component combinations are the primary research object for this paper’s quality evaluation, the quality optimization contribution of the prefabricated building is calculated as the sum of the quality optimization contributions of the selected components, while the foundation, door, and window components that were not chosen are not taken into account.
- (2)
- The quality issues resulting from the choice of cast-in-place or prefabricated construction procedures for the components, as well as from the order in which the various components are assembled, are not taken into account in this paper.
- (1)
- Let be the contribution value of the first-level indicator to the research object, hereinafter referred to as weight 1, and let be the path coefficient between the research object and the first-level indicator, then the formula for calculating weight 1 is shown in Formula (3).
- (2)
- Let be the contribution value of each secondary indicator to its first-level indicator, hereinafter referred to as weight 2, and let be the path coefficient between the secondary indicator and the first-level indicator, then the formula for calculating weight 2 is shown in Formula (4).
- (3)
- Let the contribution value of secondary indicators to the research object be Aj, hereinafter referred to as the total weight, which is calculated as shown in Formula (5).
3.2. Results Analysis
4. Conclusions and Recommendations
- (1)
- When utilized to resolve the combinatorial optimization problem, the ant colony algorithm has a good solving impact and the capacity to explore the global optimal solution. By using the simulated annealing algorithm to optimize the projection pursuit method for evaluating the quality of prefabricated components of prefabricated buildings, the issue of more subjective evaluation methods can be effectively avoided, and the evaluation results can be made more scientific and reasonable.
- (2)
- Residential Comfort (RC) and Installation Stability (IS) have a somewhat positive correlation, whereas Residential Comfort (RC) and Usage Durability (UD) and Structural Reliability (SR) have a moderately negative correlation.
- (3)
- It is determined that the Installation Stability (IS) index has the most influence on the evaluation of the program, and the Structural Reliability (SR) index has the least influence on the program, based on the magnitude of the optimal projection direction vector.
- (1)
- We should consider the prefabricated building’s assembly stability and apply a consistent design and production technique in order to maximize accuracy and stability of assembly. Establish a quality management system and conduct quality inspections to guarantee that the quality of each assembly component meets the standards. In order to ensure that each component is linked and installed in the right place, the assembly process is also carefully watched.
- (2)
- Throughout construction, high-quality prefabricated building materials should be selected to ensure their durability and service life. Likewise, pay attention to the construction process to provide a strong and reliable connection between the pieces and avoid aging and material shedding. Routine inspection and maintenance should be carried out to keep machinery and parts from malfunctioning and to guarantee that the facility can be operated regularly.
- (3)
- When it comes to residential comfort, consider the design of the house type, rationally arrange the space layout, and provide a comfortable living environment. Consideration should be given to the home’s soundproofing, ventilation, and heat retention concurrently.
- (4)
- Strict control should be exerted, during manufacture, over the materials chosen and the processing procedures employed in order to ensure the strength and stability of the components. Reasonable structural connection procedures should be employed during construction to guarantee coordination and complementarity between components. Regular structural safety checks should be carried out to identify and address any potential structural problems and ensure the building’s safety.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Construction Process | Residence Comfort | Use Durability | Installation Stability | Structural Reliability | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
RC1 | RC2 | RC3 | UD1 | UD2 | UD3 | IS1 | IS2 | IS3 | SR1 | SR2 | SR3 | |
9.9% | 13.5% | 11.7% | 9.0% | 10.0% | 9.2% | 1.7% | 1.7% | 1.4% | 11.0% | 10.7% | 10.2% | |
1 | 5 | 4 | 3 | 5 | 2 | 5 | 3 | 3 | ||||
2 | 4 | 5 | ||||||||||
3 | 3 | |||||||||||
4 | 4 | 3 | ||||||||||
5 | 5 | 5 | 5 | |||||||||
Degree of importance | 1.389 | 0.65 | 0.359 | 2.482 |
Type of Component | …… | 1 | 2 | 3 | 4 | 5 | …… | Degree of Importance | |||
---|---|---|---|---|---|---|---|---|---|---|---|
RC | UD | IS | SR | ||||||||
Columns | |||||||||||
Beam | |||||||||||
Slab | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1.389 | 0.65 | 0.359 | 2.482 |
Wall | |||||||||||
Stairs |
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Wang, Q.; Xu, X.; Ding, X.; Chen, T.; Deng, R. Quality Evaluation Approach for Prefabricated Buildings Using Ant Colony Algorithm and Simulated Annealing Algorithm to Optimize the Projection Pursuit Model. Buildings 2023, 13, 2307. https://doi.org/10.3390/buildings13092307
Wang Q, Xu X, Ding X, Chen T, Deng R. Quality Evaluation Approach for Prefabricated Buildings Using Ant Colony Algorithm and Simulated Annealing Algorithm to Optimize the Projection Pursuit Model. Buildings. 2023; 13(9):2307. https://doi.org/10.3390/buildings13092307
Chicago/Turabian StyleWang, Qun, Xizhen Xu, Xiaoxin Ding, Tiebing Chen, and Ronghui Deng. 2023. "Quality Evaluation Approach for Prefabricated Buildings Using Ant Colony Algorithm and Simulated Annealing Algorithm to Optimize the Projection Pursuit Model" Buildings 13, no. 9: 2307. https://doi.org/10.3390/buildings13092307