scholarly journals Numerical Modeling and Performance Assessment of FRP-Strengthened Full-Scale Circular-Hollow-Section Steel Columns Subjected to Vehicle Collisions

2020 ◽  
Vol 24 (3) ◽  
pp. 04020011 ◽  
Author(s):  
Md Iftekharul Alam ◽  
Sabrina Fawzia ◽  
Xiao-Ling Zhao ◽  
Alex M. Remennikov
2012 ◽  
Vol 472-475 ◽  
pp. 1206-1214 ◽  
Author(s):  
In Kyu Kwon ◽  
Heung Youl Kim ◽  
Hyung Jun Kim

Fire resistance is required to sustain the structural stability when building elements are exposed to a severe fire condition. To evaluate the fire resistance of structural members such as columns and beams, fire engineers can apply either prescriptive methods or performance-based fire design. These two kinds of fire resistance evaluation methods have been developed independently and performance fire design consists mainly of an advanced and simple methods. The simple method stipulated in New Zealand and the U.K. use the limiting temperature. The values of the limiting temperatures of structural steel members were shown in the BS, SNZ, etc but the temperatures of individuals were not classified. In general steel columns were made of H-section but recently the hollow section is inclined to increase for its higher resistant of structural stabilities than any other sections. But the hollow section shows different pattern when it carry out the loads in the cold and is expected to show different behavior when it is exposed to fire. Therefore the limiting temperature of the hollow section is required for evaluation of fire resistance. The paper is to make the limiting temperature of the circular hollow section (CHS) with or without filling of concrete and variance of applied loads.


2019 ◽  
Vol 159 ◽  
pp. 415-427
Author(s):  
H.X. Yuan ◽  
X.X. Du ◽  
M. Shokouhian ◽  
J. Ye ◽  
B.W. Schafer

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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