Ruiz-Vélez Andrés, Alcalá Julián, Yepes Víctor
Institute of Concrete Science and Technology (ICITECH), Universitat Politècnica de València, 46022 Valencia, Spain.
Materials (Basel). 2022 Dec 26;16(1):204. doi: 10.3390/ma16010204.
Sustainable development requires improvements in the use of natural resources. The main objective of the present study was to optimize the use of materials in the construction of reinforced concrete precast hinged frames. Proprietary software was developed in the Python programming language. This allowed the structure's calculation, verification and optimization through the application of metaheuristic techniques. The final cost is a direct representation of the use of materials. Thus, three algorithms were applied to solve the economic optimization of the frame. By applying simulated annealing, threshold accepting and old bachelor's acceptance algorithms, sustainable, non-traditional designs were achieved. These make optimal use of natural resources while maintaining a highly restricted final cost. In order to evaluate the environmental impact improvement, the carbon-dioxide-associated emissions were studied and compared with a reference cast-in-place reinforced concrete frame. The results showed designs with reduced upper slab and lateral wall depth and dense passive reinforcement. These were able to reduce up to 24% of the final cost of the structure as well as over 30% of the associated emissions.
可持续发展要求提高自然资源的利用效率。本研究的主要目标是优化钢筋混凝土预制铰接框架结构中的材料使用。使用Python编程语言开发了专用软件。这使得通过应用元启发式技术对结构进行计算、验证和优化成为可能。最终成本是材料使用情况的直接体现。因此，应用了三种算法来解决框架的经济优化问题。通过应用模拟退火算法、阈值接受算法和老单身汉接受算法，实现了可持续的非传统设计。这些设计在保持最终成本高度受限的同时，实现了对自然资源的优化利用。为了评估环境影响的改善情况，研究了与二氧化碳相关的排放，并与参考现浇钢筋混凝土框架进行了比较。结果显示，设计减少了上层板和侧壁的深度，并采用了密集的被动钢筋。这些设计能够将结构的最终成本降低多达24%，并将相关排放量降低超过30%。
