Prediction and control of sound fields in workrooms and "green" buildings

工作室和“绿色”建筑声场的预测和控制

• 批准号: 122320-2008
• 负责人: Hodgson, Murray
• 金额: $ 2.02万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=422128
• 关键词: Prediction; control; sound; fields; workrooms

The acoustical environment in a workroom has a direct effect on the health, well-being and productivity of the workers. The direct and indirect socio-economic costs of such problems can be enormous. 'Green' buildings, the future of architecture have particular acoustical problems which lead to great occupant dissatisfaction. The problems must be investigated and resolved. 'Green' roofs have potential for noise control that must be investigated. Workroom acoustical environments can be controlled. This is often done retroactively; optimization of the acoustical environment at the design stage is much more cost-effective. Noise control traditionally involves passive methods; the future of noise control involves active methods. The proposed research will provide the knowledge, predictive tools and noise-control measures to allow the acoustical environment in workrooms to be optimized at the design stage. It will apply inverse methods to obtain realistic data on room-prediction parameters in existing rooms, as well as to develop a method for identifying noise sources in industrial workshops. Models will be developed for predicting sound-pressure fields in workshops, including obstacles, and in 'green' buildings, and sound transmission between rooms through partitions with ventilators, possibly acoustically treated. The models will be used to optimize ventilator design. A model for predicting the optimal configuration, and the effectiveness, of a local active-control system in workshops will be consolidated and applied. The potential for using 'green' roofs to control external-internal noise transmission will be studied. Active-control technology will be integrated into 'green'-building ventilator design.

工作室的声环境对工人的健康、舒适和生产力有直接影响。 这些问题的直接和间接社会经济代价可能是巨大的。 “绿色”建筑是未来建筑的发展方向，但其声学问题引起了居住者的不满。 这些问题必须加以调查和解决。 “绿色”屋顶具有噪音控制的潜力，必须加以研究。 可以控制工作室声学环境。这通常是追溯性的;在设计阶段优化声学环境更具成本效益。 噪声控制传统上涉及被动方法;噪声控制的未来涉及主动方法。 拟议的研究将提供知识，预测工具和噪声控制措施，使工作室的声学环境在设计阶段得到优化。 它将应用逆向方法获得现有房间中房间预测参数的实际数据，并开发一种识别工业车间噪声源的方法。 将开发模型，用于预测车间（包括障碍物）和“绿色”建筑物中的声压场，以及通过带消声器（可能进行声学处理）的隔板在房间之间的声音传输。 这些模型将用于优化呼吸机设计。 将巩固和应用一个模型，用于预测车间局部主动控制系统的最佳配置和有效性。 将研究使用“绿色”屋顶来控制外部-内部噪音传播的可能性。 主动控制技术将被集成到“绿色”建筑通风机设计中。