利用 ANN-GA 和 PSO 技术评估纳米 GO 混凝土路面力学性能对道路性能和交通安全的影响

IF 7.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
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引用次数: 0

摘要

随着对耐用和环保型道路基础设施的需求不断增长,有必要对创新材料和方法进行探索。氧化石墨烯(GO)是一种纳米材料,以其优异的分散性和机械加固能力而著称,本研究探讨了氧化石墨烯在提高混凝土路面的可持续性和耐久性方面的潜力。利用先进的人工智能技术--人工神经网络(ANN)、遗传算法(GA)和粒子群优化(PSO)--之间的协同作用,旨在深入研究纳米氧化石墨烯对混凝土机械性能的复杂影响。通过对 ANN-GA 和 ANN-PSO 模型进行比较评估,实证分析表明 ANN-GA 模型表现出色,预测误差极小,仅为 2.73%,这表明该模型能够有效捕捉 GO 与胶凝材料之间微妙的相互作用。通过对不同纳米 GO 用量的细致实验,确定了最佳浓度,从而在不影响工作性的情况下提高了混凝土的抗压、抗弯和抗拉强度。这种最佳掺量可显著提高初始强度,并将 GO 定位为下一代优质路面混凝土的基石。研究结果提倡进一步探索并最终将 GO 融入道路建设项目中,以加强生态可持续性,并推动在基础设施发展中采用循环经济。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating the influence of Nano-GO concrete pavement mechanical properties on road performance and traffic safety using ANN-GA and PSO techniques

The burgeoning demand for durable and eco-friendly road infrastructure necessitates the exploration of innovative materials and methodologies. This study investigates the potential of Graphene Oxide (GO), a nano-material known for its exceptional dispersibility and mechanical reinforcement capabilities, to enhance the sustainability and durability of concrete pavements. Leveraging the synergy between advanced artificial intelligence techniques—Artificial Neural Networks (ANN), Genetic Algorithms (GA), and Particle Swarm Optimization (PSO)—it is aimed to delve into the intricate effects of Nano-GO on concrete's mechanical properties. The empirical analysis, underpinned by a comparative evaluation of ANN-GA and ANN-PSO models, reveals that the ANN-GA model excels with a minimal forecast error of 2.73%, underscoring its efficacy in capturing the nuanced interactions between GO and cementitious materials. An optimal concentration is identified through meticulous experimentation across varied Nano-GO dosages that amplify concrete's compressive, flexural, and tensile strengths without compromising workability. This optimal dosage enhances the initial strength significantly, and positions GO as a cornerstone for next-generation premium-grade pavement concretes. The findings advocate for the further exploration and eventual integration of GO in road construction projects, aiming to bolster ecological sustainability and propel the adoption of a circular economy in infrastructure development.

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来源期刊
Environmental Research
Environmental Research 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
12.60
自引率
8.40%
发文量
2480
审稿时长
4.7 months
期刊介绍: The Environmental Research journal presents a broad range of interdisciplinary research, focused on addressing worldwide environmental concerns and featuring innovative findings. Our publication strives to explore relevant anthropogenic issues across various environmental sectors, showcasing practical applications in real-life settings.
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