A novel characteristic curve for failure prediction of multi-bolt composite joints

2014 ◽  
Vol 108 ◽  
pp. 129-136 ◽  
Author(s):  
Jianyu Zhang ◽  
Fengrui Liu ◽  
Libin Zhao ◽  
Binjun Fei
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Qing Wu ◽  
Jie Wang ◽  
Mengbin Qin ◽  
Huiying Yang ◽  
Zhihai Liang ◽  
...  

Abstract Background Recently, several novel scoring systems have been developed to evaluate the severity and outcomes of acute pancreatitis. This study aimed to compare the effectiveness of novel and conventional scoring systems in predicting the severity and outcomes of acute pancreatitis. Methods Patients treated between January 2003 and August 2020 were reviewed. The Ranson score (RS), Glasgow score (GS), bedside index of severity in acute pancreatitis (BISAP), pancreatic activity scoring system (PASS), and Chinese simple scoring system (CSSS) were determined within 48 h after admission. Multivariate logistic regression was used for severity, mortality, and organ failure prediction. Optimum cutoffs were identified using receiver operating characteristic curve analysis. Results A total of 1848 patients were included. The areas under the curve (AUCs) of RS, GS, BISAP, PASS, and CSSS for severity prediction were 0.861, 0.865, 0.829, 0.778, and 0.816, respectively. The corresponding AUCs for mortality prediction were 0.693, 0.736, 0.789, 0.858, and 0.759. The corresponding AUCs for acute respiratory distress syndrome prediction were 0.745, 0.784, 0.834, 0.936, and 0.820. Finally, the corresponding AUCs for acute renal failure prediction were 0.707, 0.734, 0.781, 0.868, and 0.816. Conclusions RS and GS predicted severity better than they predicted mortality and organ failure, while PASS predicted mortality and organ failure better. BISAP and CSSS performed equally well in severity and outcome predictions.


2018 ◽  
Vol 202 ◽  
pp. 397-405 ◽  
Author(s):  
Fengrui Liu ◽  
Xuheng Lu ◽  
Libin Zhao ◽  
Jianyu Zhang ◽  
Jifeng Xu ◽  
...  

2022 ◽  
Author(s):  
Alex Harman ◽  
Lachlan J. Webb ◽  
Kevin H. Hoos ◽  
Endel V. Iarve ◽  
David Mollenhauer

2013 ◽  
Vol 83 ◽  
pp. 54-63 ◽  
Author(s):  
Fengrui Liu ◽  
Libin Zhao ◽  
Saqib Mehmood ◽  
Jianyu Zhang ◽  
Binjun Fei

Author(s):  
O. Aluko

An analysis was performed to predict the failure load of unidirectional and woven pinned loaded composite joints using the characteristic curve model. The characteristic dimensions used to determine the characteristic curve were evaluated from stress functions without experimental tests. A parametric study was carried out for different coefficient of friction ranging between 0 and 0.15 to evaluate the effect of friction on joints failure using Tsai-Wu failure criterion along the characteristic curve. A comparison of analytical results with the available experimental data showed that the friction coefficient of 0.05 generally gave the best prediction for the joint configurations evaluated.


2013 ◽  
Vol 106 ◽  
pp. 407-416 ◽  
Author(s):  
Libin Zhao ◽  
Yu Gong ◽  
Tianliang Qin ◽  
Saqib Mehmood ◽  
Jianyu Zhang

Author(s):  
Olanrewaju Aluko

An analytical modeling was performed to investigate the effect of Nano filler on the mechanical performance of carbon fiber reinforced composite joints using the characteristic curve method. The joints were prepared from carbon fiber reinforced laminated plates with and without graphene nanoplatelet (GNP) and the characteristic dimensions used to determine the characteristic curve were evaluated from stress functions without experimental tests. The load-bearing capacity of the joints were carried out using different coefficient of friction and Yamada-Sun failure criterion along the characteristic curve. The evaluated results showed that the infusion of graphene nanoplatelet into the epoxy matrix of fiber reinforced composite plate increases the failure load of the composite joints.


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