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

工作室的声学环境对工人的健康、福祉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，未来的建筑有特殊的声学问题，这导致了极大的居住者的不满。这些问题必须加以调查和解决。“绿色”屋顶具有控制噪音的潜力，必须加以研究。工作室的声学环境是可以控制的。这通常是追溯性的；在设计阶段优化声环境的成本效益要高得多。传统的噪声控制包括被动方法；未来的噪声控制包括主动的方法。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。它将应用反方法来获得现有房间的房间预测参数的实际数据，并开发一种确定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”建筑中的声压场，以及通过带有通风机的隔墙在房间之间传播的声音，这些隔墙可能经过声学处理。这些模型将用于优化通风机设计。本文将巩固和应用车间局部主动控制系统的最优配置和有效性预测模型。将研究使用“绿色”屋顶控制外部和内部噪音传播的可能性。主动控制技术将被整合到“绿色”建筑通风机设计中。

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.