Are Industry Specialists More Efficient and Effective in Performing Analytical Procedures? A Multi-stage Analysis

2008 ◽  
Vol 12 (3) ◽  
pp. 243-260 ◽  
Author(s):  
Wendy Green
Author(s):  
Johann Gross ◽  
Malte Krack ◽  
Harald Schoenenborn

The prediction of aerodynamic blade forcing is a very important topic in turbomachinery design. Usually, the wake from the upstream blade row and the potential field from the downstream blade row are considered as the main causes for excitation, which in conjunction with relative rotation of neighboring blade rows, give rise to dynamic forcing of the blades. In addition to those two mechanisms so-called Tyler-Sofrin (or scattered or spinning) modes, which refer to the acoustic interaction with blade rows further up- or downstream, may have a significant impact on blade forcing. In particular, they lead to considerable blade-to-blade variations of the aerodynamic loading. In part 1 of the paper a study of these effects is performed on the basis of a quasi 3D multi-row and multi-passage compressor configuration. Part 2 of the paper proposes a method to analyze the interaction of the aerodynamic forcing asymmetries with the already well-studied effects of random mistuning stemming from blade-to-blade variations of structural properties. Based on a finite element model of a sector, the equations governing the dynamic behavior of the entire bladed disk can be efficiently derived using substructuring techniques. The disk substructure is assumed as cyclically symmetric, while the blades exhibit structural mistuning and linear aeroelastic coupling. In order to avoid the costly multi-stage analysis, the variation of the aerodynamic loading is treated as an epistemic uncertainty, leading to a stochastic description of the annular force pattern. The effects of structural mistuning and stochastic aerodynamic forcing are first studied separately and then in a combined manner for a blisk of a research compressor without and with aeroelastic coupling.


2022 ◽  
Vol 48 ◽  
pp. 104022
Author(s):  
Jingguo Xue ◽  
Xueliang Hou ◽  
Jianli Zhou ◽  
Xiaobing Liu ◽  
Yu Guo

2020 ◽  
pp. 146144482092367
Author(s):  
Samantha Shorey ◽  
Benjamin Mako Hill ◽  
Samuel Woolley

Although socializing is a powerful driver of youth engagement online, platforms struggle to leverage social engagement to promote learning. We seek to understand this dynamic using a multi-stage analysis of over 14,000 comments on Scratch, an online platform designed to support learning about programming. First, we inductively develop the concept of “participatory debugging”—a practice in which users learn through the process of collaborative technical troubleshooting. Second, we use a content analysis to establish how common the practice is on Scratch. Third, we conduct a qualitative analysis of user activity over time and identify three factors that serve as social antecedents of participatory debugging: (1) sustained community, (2) identifiable problems, and (3) what we call “topic porousness” to describe conversations that are able to span multiple topics. We integrate these findings in a framework that highlights a productive tension between the desire to promote learning and the interest-driven sub-communities that drive user engagement in many new media environments.


2000 ◽  
Author(s):  
Jiang Luo ◽  
Chris Twardochleb ◽  
Ulrich Stang ◽  
Eli Razinsky

Genomics ◽  
2009 ◽  
Vol 93 (3) ◽  
pp. 235-242 ◽  
Author(s):  
Tingting Li ◽  
Jian Huang ◽  
Ying Jiang ◽  
Yan Zeng ◽  
Fuchu He ◽  
...  

2003 ◽  
Vol 71 (1) ◽  
pp. 62-72 ◽  
Author(s):  
Andrea Jochheim ◽  
Alexandra Cieslak ◽  
Tina Hillemann ◽  
Tobias Cantz ◽  
Jennifer Scharf ◽  
...  

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