In high-rise residential buildings (HRBs), elevators run at a high speed, which causes problems such as change of atmospheric pressure, noise, and vibration. Elevator noise and vibration (ENV) of HRBs causes both mental anxiety and a consistently negative effect for promoting a comfortable residential area. Therefore, a solution for alleviating the ENV of HRBs is essential. To date, studies related to ENV have been mostly conducted in the approach of mechanical and electric aspects. There have been few cases conducted from the perspective of construction management (CM), which integrates design and construction. Therefore, the aim of this study is to propose CM solutions to mitigate the ENV of HRB. For this study, the CM solution is presented after identifying the ENV problems of HRBs through documented research and case measurement. By measuring the noise of HRB that the solution was applied to, the noise level, especially in a range of >125 Hz, was extensively reduced. The result of this study will be used as sustainable guidelines that alleviate ENV problems in the process of design and construction of HRB elevators. It is expected that studies for improving ENV problems that occur in high-rise elevators will increase on the basis of the results of this study.

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Agricultural tractors are special purpose machines that perform agricultural operation in harsh environments such as unpaved roads and farmlands, and generate high levels of noise and vibration. Eco-friendly tractors using electric drivetrains and hydrogen fuel cells are being developed to reduce exhaust gas in accordance with global environmental regulations. Unlike traditional tractor structures, these electrified tractors are being developed as modular and shared platforms. Therefore, it is changing into a system that is easy to apply component-based transfer path analysis (C-TPA) to reduce noise and vibration of tractors. In this paper, the noise and vibration contributions of an agricultural tractor were analyzed using C-TPA, and the blocked force usable as the excitation force of the virtual model was derived. The accuracy of transfer path analysis was improved by applying transfer functions including the rotational directions using virtual point transformation technique. The prediction result of developed experimental model were similar to the vibration response of the actual tractor, and the contribution of structure-borne noise could be quantitatively evaluated.