| Autor: |
Hanmo Wang, Sunmi Shin, Alexander Lin |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Developments in the Built Environment, Vol 15, Iss , Pp 100210- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2666-1659 |
| DOI: |
10.1016/j.dibe.2023.100210 |
| Popis: |
This study explores the impact of vertical and horizontal configurations on thermal insulation in cellular concrete brick design, aiming to identify optimal insulation patterns. Results indicate that under a constant volume (67%) of coconut fiber, appropriate geometric changes can reduce thermal conductivity by around 10% (from 0.198 W/(m·K) to 0.178 W/(m·K)). Bayesian inference is employed to construct a bi-directional network, providing a more intuitive understanding of variable relationships. A probabilistic-driven search space reduction approach is proposed, improving candidate selection efficiency and reducing the number of assessments. The study introduces a Bayesian Genetic Algorithm (BGA), which outperforms the genetic algorithm when the mutation rate is 0.1. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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