contribution analysis
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2022 ◽  
Vol 166 ◽  
pp. 108409
Author(s):  
Di Wang ◽  
Jun Guo ◽  
Xinbiao Xiao ◽  
Xiaozhen Sheng

2021 ◽  
Vol 70 (12) ◽  
pp. 1792-1798
Author(s):  
Chi-Myeong Yun ◽  
Gyu-Jung Cho ◽  
Hyungchul Kim ◽  
Chul-Hwan Kim ◽  
Hosung Jung

2021 ◽  
Vol 9 (1) ◽  
pp. 207-237
Author(s):  
Matthew Kitching

This macro-level, mixed methods contribution analysis evaluates the influence of students’ unions internal communication response to the Covid-19 pandemic on staff motivation. Recognising the role individual interpretation and perception play in the receipt of such messages, this paper seeks to understand which motivating factors union managers sought to address through their communications, whether these efforts were recognised by staff and whether there is evidence they may have helped to alleviate employee concerns. The evaluation findings will be of interest to student union managers and professionals looking to enhance communications and improve employee motivation. Received: 14 September 2021Accepted: 27 October 2021


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Qiang Liu ◽  
Xuanyi Zhou ◽  
Jianxin Zhu ◽  
Xiaoping Gong

The noise of a cab directly affects the comfort and labor efficiency of the operators. The optimization of the structure-borne transmission path can obviously reduce the cab noise. The method of panel acoustic contribution analysis (PACA) is used to reduce structure noise. However, most studies only consider the panel acoustic contribution of a single frequency, without considering the contribution of major frequencies synthesis to confirm the optimized panels. In this paper, a novel method is proposed based on composite panel acoustic and modal contribution analysis and noise transfer path optimization in a vibro-acoustic model. First, the finite element model (FEM) and the acoustic model are established. Based on the acoustic transfer vector (ATV) method, a composite panel acoustic contribution analysis method is proposed to identify the panels affecting the noise of the field point. Combined with the modal acoustic contribution of the modal acoustic transfer vector (MATV) method, the noise field point is confirmed in the area which has the most significant influence. Second, the optimization algorithm NLOPT which is a nonlinear optimization is applied to design the areas. The noise transfer path optimization with vibroacoustic coupling response can quickly determine the optimal thickness of the panels and reduce low-frequency noise. The effectiveness of the proposed method is applied and verified in an excavator cab. The sound pressure level (SPL) the driver’s right ear (DRE) decreased obviously. The acoustic analysis of the composite panel acoustic contribution and modal acoustic contribution can more accurately recognize an optimized area than the traditional PACA. This method can be applied in the optimization of the structure-borne transmission path for construction machinery cab and vehicle body.


2021 ◽  
pp. 341-352
Author(s):  
Moksh Kant ◽  
Sandeep Chaurasia ◽  
Harish Sharma

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