Sensitivity Analysis of Influencing Factors on Mould Surface Deformation of Resin Matrix Composites by Autoclave Moulding

Author(s):  
Feng Yang Bi ◽  
Bo Yang ◽  
Tian Guo Jin ◽  
Wen Jiao Liu ◽  
Chang Xi Liu ◽  
...  
2021 ◽  
Vol 41 (3) ◽  
pp. 1810-1816
Author(s):  
Zhenyue Zou ◽  
Yan Qin ◽  
Huadong Fu ◽  
Di Zhu ◽  
Zhuangzhuang Li ◽  
...  

2012 ◽  
Vol 621 ◽  
pp. 352-355
Author(s):  
Zhong Fu Tan ◽  
Shu Xiang Wang ◽  
Chen Zhang ◽  
Li Qiong Lin ◽  
Yin Hui Zhao

This paper analyses multi influencing factors of energy demand, using energy demand forecast regression model reveals inner relations between each factor and energy demand. Establish simulation model of the relation between GDP, energy intense and energy demand. Under the change in population, urbanization and energy efficiency, this paper gives analysis model of energy demand change.


2018 ◽  
Vol 18 (11) ◽  
pp. 3089-3108 ◽  
Author(s):  
Ayse Duha Metin ◽  
Nguyen Viet Dung ◽  
Kai Schröter ◽  
Björn Guse ◽  
Heiko Apel ◽  
...  

Abstract. Flood risk is impacted by a range of physical and socio-economic processes. Hence, the quantification of flood risk ideally considers the complete flood risk chain, from atmospheric processes through catchment and river system processes to damage mechanisms in the affected areas. Although it is generally accepted that a multitude of changes along the risk chain can occur and impact flood risk, there is a lack of knowledge of how and to what extent changes in influencing factors propagate through the chain and finally affect flood risk. To fill this gap, we present a comprehensive sensitivity analysis which considers changes in all risk components, i.e. changes in climate, catchment, river system, land use, assets, and vulnerability. The application of this framework to the mesoscale Mulde catchment in Germany shows that flood risk can vary dramatically as a consequence of plausible change scenarios. It further reveals that components that have not received much attention, such as changes in dike systems or in vulnerability, may outweigh changes in often investigated components, such as climate. Although the specific results are conditional on the case study area and the selected assumptions, they emphasize the need for a broader consideration of potential drivers of change in a comprehensive way. Hence, our approach contributes to a better understanding of how the different risk components influence the overall flood risk.


1986 ◽  
Author(s):  
L.J. Graham ◽  
L.A. Ahlberg ◽  
F. Cohen-Tenoudji ◽  
B.R. Tittmann

Author(s):  
Dan-Yong Wang ◽  
Jun-Cong Liu ◽  
Yi-Wei Chen ◽  
Shu-Hu Li ◽  
Hua-Zhen Wei ◽  
...  

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