Predictive simulation of construction site noise emissions from heavy equipment

IF 3.5 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Nasim Babazadeh, Jochen Teizer, H. Bargstädt, Jürgen Melzner
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Abstract

PurposeConstruction activities conducted in urban areas are often a source of significant noise disturbances, which cause psychological and health issues for residents as well as long-term auditory impairments for construction workers. The limited effectiveness of passive noise control measures due to the close proximity of the construction site to surrounding neighborhoods often results in complaints and eventually lawsuits. These can then lead to delays and cost overruns for the construction projects.Design/methodology/approachThe paper proposes a novel approach to integrating construction noise as an additional dimension into scheduling construction works. To achieve this, a building information model, including the three-dimensional construction site layout object geometry, resource allocation and schedule information, is utilized. The developed method explores further project data that are typically available, such as the assigned equipment to a task, its precise location, and the estimated duration of noisy tasks. This results in a noise prediction model by using noise mapping techniques and suggesting less noisy alternative ways of construction. Finally, noise data obtained from sensors in a case study contribute real values for validating the proposed approach, which can be used later to suggest solutions for noise mitigation.FindingsThe results of this study indicate that the proposed approach can accurately predict construction noise given a few available parameters from digital project planning and sensors installed on a construction site. Proactively integrating construction noise control measures into the planning process has benefits for both residents and construction managers, as it reduces construction noise-related disturbances, prevents unexpected legal issues and ensures the health and well-being of the workforce.Originality/valueWhile previous research has concentrated on real-time data collection using sensors, a more effective solution would also involve addressing and mitigating construction noise during the pre-construction work planning phase.
建筑工地重型设备噪音排放预测模拟
目的在城市地区进行的施工活动往往会产生严重的噪声干扰,给居民造成心理和健康问题,并给施工人员造成长期听觉障碍。由于建筑工地距离周围居民区很近,被动噪声控制措施的效果有限,因此经常会引起投诉,最终导致诉讼。设计/方法/途径 本文提出了一种新颖的方法,将建筑噪音作为一个额外的维度整合到建筑工程的进度安排中。为此,利用了建筑信息模型,包括三维建筑工地布局对象几何图形、资源分配和进度信息。所开发的方法可进一步挖掘通常可用的项目数据,如分配给某项任务的设备、设备的精确位置以及噪声任务的预计持续时间。通过使用噪声映射技术和建议噪声较低的替代施工方法,从而建立噪声预测模型。最后,从案例研究中的传感器获得的噪声数据为验证所建议的方法提供了真实值,以后可用于提出噪声缓解解决方案。 研究结果本研究结果表明,所建议的方法可以根据数字项目规划中的一些可用参数和安装在施工现场的传感器准确预测施工噪声。积极主动地将施工噪声控制措施纳入规划过程,对居民和施工管理者都有好处,因为这样可以减少与施工噪声有关的干扰,防止出现意想不到的法律问题,并确保劳动力的健康和福利。原创性/价值虽然以前的研究主要集中在使用传感器收集实时数据,但更有效的解决方案还包括在施工前的工作规划阶段解决和缓解施工噪声。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Smart and Sustainable Built Environment
Smart and Sustainable Built Environment GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
9.20
自引率
8.30%
发文量
53
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