基于施工机械配置优化的施工噪声管理方法
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U415.1

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国家自然科学基金(U21A20151);湖北省自然科学基金(2022CFB086)


Research on Construction Noise Management based on Optimization of Construction Machinery Configuration
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    摘要:

    城市地下工程施工机械种类多、数量大,易导致施工噪声扰民问题。为此,提出了一种基于施工机械配置方案优化的施工噪声管理方法。首先,分析了施工过程中的主要噪声源并建立噪声源模型。其次,分析了施工噪声暴露诱发的健康效应终端并确定其暴露-反应公式。最后,构建了以施工噪声健康损害成本、工期、成本和质量为约束的施工机械配置多目标优化模型。在此基础上,以武汉市某隧道工程项目深基坑施工为例,采用遗传算法改进量子粒子群算法求解模型。结果表明,该方法在实现施工降噪的同时可满足施工效率的要求,因而具有可行性与实用性。

    Abstract:

    The construction of underground engineering in urban areas involves a vast array and substantial quantity of construction machinery, which can pose a significant challenge of noise pollution during construction. To address this issue, a noise management method based on optimizing the configuration of construction machinery was presented. Firstly, the primary noise sources during construction were analyzed, and a noise source model was established. Secondly, the health effects induced by exposure to construction noise were analyzed, and the exposure-response formula was determined. Finally, a multi-objective optimization model for the configuration of construction machinery was developed, which considered the health damage cost caused by construction noise, as well as constraints on construction period, cost, and quality. To demonstrate the feasibility and practicality of the proposed method, a case study of deep excavation construction in a tunnel engineering project in Wuhan was presented, and a hybrid algorithm combining genetic algorithm and improved quantum particle swarm optimization algorithm was utilized to solve the optimization model. The results indicate that the proposed method can reduce construction noise while meeting the requirements for construction efficiency, and thus has significant potential for practical implications

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陈珂,孟晓峰,蒋伟光. 基于施工机械配置优化的施工噪声管理方法[J]. 科学技术与工程, 2024, 24(18): 7859-7866.
Chen Ke, Meng Xiaofeng, Jiang Weiguang. Research on Construction Noise Management based on Optimization of Construction Machinery Configuration[J]. Science Technology and Engineering,2024,24(18):7859-7866.

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  • 收稿日期:2023-05-12
  • 最后修改日期:2024-03-26
  • 录用日期:2023-11-14
  • 在线发布日期: 2024-07-05
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