scholarly journals Numerical prediction analysis of propeller bearing force for full-scale hull–propeller–rudder system

Author(s):  
Chao Wang ◽  
Shuai Sun ◽  
Liang Li ◽  
Liyu Ye
2018 ◽  
Vol 147 ◽  
pp. 580-590 ◽  
Author(s):  
Cong Sun ◽  
Chao Wang ◽  
Sheng-xia Sun ◽  
Xin Chang ◽  
Liang Zhang

Mechanika ◽  
2014 ◽  
Vol 20 (1) ◽  
Author(s):  
A. Mokhtardidouche ◽  
A. Benarous ◽  
L. Loukarfi ◽  
H. Naji

Wear ◽  
2018 ◽  
Vol 408-409 ◽  
pp. 1-12 ◽  
Author(s):  
Andreas Peters ◽  
Udo Lantermann ◽  
Ould el Moctar

2021 ◽  
Vol 229 ◽  
pp. 108974
Author(s):  
Shuai Sun ◽  
Zhiqiang Hu ◽  
Chao Wang ◽  
Zeqing Guo ◽  
Xiang Li

2004 ◽  
Vol 32 (3) ◽  
pp. 164-186 ◽  
Author(s):  
H. Lupker ◽  
F. Cheli ◽  
F. Braghin ◽  
E. Gelosa ◽  
A. Keckman

Abstract Due to their many economic and ecological implications, the possibility to predict tire wear is of major importance to tire manufacturers, fleet owners and governments. Based on these observations, in 2000, a three-year project named TROWS (Tire and Road Wear and Slip assessment) was started. One of the TROWS objectives is to provide a tool able to numerically predict tire global wear as well as to qualitatively determine the wear distribution. The proposed methodology combines a mathematical model of the tire with an experimentally determined local friction and wear law. Thus, tire abrasion due to each single maneuver can be determined. Full-scale experimental tests were carried out with two Peugeot 406 cars on a public road course in Italy. Each car was equipped with a different set of tires: one car was equipped with four all-season tires (from now on called A tires) and the other car was equipped with four winter tires (from now on called B tires). Both sets of tires had a 195/65 R15 size. The collected data was used to validate the model. The methodology proved to give qualitatively good tire wear predictions.


2014 ◽  
Vol 19 (4) ◽  
pp. 510-527 ◽  
Author(s):  
Qiongfang Yang ◽  
Yongsheng Wang ◽  
Zhihong Zhang

2000 ◽  
Vol 16 (2) ◽  
pp. 107-114 ◽  
Author(s):  
Louis M. Hsu ◽  
Judy Hayman ◽  
Judith Koch ◽  
Debbie Mandell

Summary: In the United States' normative population for the WAIS-R, differences (Ds) between persons' verbal and performance IQs (VIQs and PIQs) tend to increase with an increase in full scale IQs (FSIQs). This suggests that norm-referenced interpretations of Ds should take FSIQs into account. Two new graphs are presented to facilitate this type of interpretation. One of these graphs estimates the mean of absolute values of D (called typical D) at each FSIQ level of the US normative population. The other graph estimates the absolute value of D that is exceeded only 5% of the time (called abnormal D) at each FSIQ level of this population. A graph for the identification of conventional “statistically significant Ds” (also called “reliable Ds”) is also presented. A reliable D is defined in the context of classical true score theory as an absolute D that is unlikely (p < .05) to be exceeded by a person whose true VIQ and PIQ are equal. As conventionally defined reliable Ds do not depend on the FSIQ. The graphs of typical and abnormal Ds are based on quadratic models of the relation of sizes of Ds to FSIQs. These models are generalizations of models described in Hsu (1996) . The new graphical method of identifying Abnormal Ds is compared to the conventional Payne-Jones method of identifying these Ds. Implications of the three juxtaposed graphs for the interpretation of VIQ-PIQ differences are discussed.


1996 ◽  
Vol 12 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Louis M. Hsu

The difference (D) between a person's Verbal IQ (VIQ) and Performance IQ (PIQ) has for some time been considered clinically meaningful ( Kaufman, 1976 , 1979 ; Matarazzo, 1990 , 1991 ; Matarazzo & Herman, 1985 ; Sattler, 1982 ; Wechsler, 1984 ). Particularly useful is information about the degree to which a difference (D) between scores is “abnormal” (i.e., deviant in a standardization group) as opposed to simply “reliable” (i.e., indicative of a true score difference) ( Mittenberg, Thompson, & Schwartz, 1991 ; Silverstein, 1981 ; Payne & Jones, 1957 ). Payne and Jones (1957) proposed a formula to identify “abnormal” differences, which has been used extensively in the literature, and which has generally yielded good approximations to empirically determined “abnormal” differences ( Silverstein, 1985 ; Matarazzo & Herman, 1985 ). However applications of this formula have not taken into account the dependence (demonstrated by Kaufman, 1976 , 1979 , and Matarazzo & Herman, 1985 ) of Ds on Full Scale IQs (FSIQs). This has led to overestimation of “abnormality” of Ds of high FSIQ children, and underestimation of “abnormality” of Ds of low FSIQ children. This article presents a formula for identification of abnormal WISC-R Ds, which overcomes these problems, by explicitly taking into account the dependence of Ds on FSIQs.


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