Axial behavior of full‐scale sandwich columns with different compressive strengths

Full-Scale Tests of Slender Concrete-Filled Tubes: Axial Behavior

Journal of Structural Engineering ◽

10.1061/(asce)st.1943-541x.0000784 ◽

2013 ◽

Vol 139 (7) ◽

pp. 1249-1262 ◽

Cited By ~ 18

Author(s):

Tiziano Perea ◽

Roberto T. Leon ◽

Jerome F. Hajjar ◽

Mark D. Denavit

Keyword(s):

Full Scale ◽

Concrete Filled Tubes ◽

Axial Behavior ◽

Full Scale Tests

Download Full-text

Axial Behavior of Columns Strengthened with Seismic RC Jacket Section

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.814.437 ◽

2019 ◽

Vol 814 ◽

pp. 437-442

Author(s):

Yong Ha Hwang ◽

Keun Hyeok Yang

Keyword(s):

Full Scale ◽

Axial Stiffness ◽

Test Results ◽

Prediction Equations ◽

Seismic Strengthening ◽

Axial Strength ◽

Steel Bar ◽

Axial Behavior ◽

Strength And Ductility

This study proposes steel bar prefabrication technology including V-type supplementary tie and closed hoops for seismic strengthening of deficient columns. The axial concentric behavior of the columns strengthened with proposed approach in the jacket section was examined using five full-scale specimens. Test results showed that the axial strength of the strengthened columns can be estimated conservatively in accordance with the prediction equations of ACI 318-14 approach. The axial ductility of the strengthened columns was 1.4 times as high as that of the existing column. Overall, the proposed technology is effective in enhancing the axial stiffness, strength, and ductility of the deficient columns.

Download Full-text

Relation of Statistically Significant, Abnormal, and Typical WAIS-R VIQ-PIQ Discrepancies to Full Scale IQs

European Journal of Psychological Assessment ◽

10.1027//1015-5759.16.2.107 ◽

2000 ◽

Vol 16 (2) ◽

pp. 107-114 ◽

Cited By ~ 3

Author(s):

Louis M. Hsu ◽

Judy Hayman ◽

Judith Koch ◽

Debbie Mandell

Keyword(s):

Graphical Method ◽

The United States ◽

Full Scale ◽

True Score ◽

Absolute Value ◽

Normative Population ◽

The Us ◽

The Mean ◽

And Performance ◽

Quadratic Models

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.

Download Full-text

A Modification of the Payne-Jones Method of Identifying Abnormal Differences in WISC-R Performance and Verbal IQ's

European Journal of Psychological Assessment ◽

10.1027/1015-5759.12.1.27 ◽

1996 ◽

Vol 12 (1) ◽

pp. 27-32 ◽

Cited By ~ 1

Author(s):

Louis M. Hsu

Keyword(s):

Full Scale ◽

True Score ◽

Verbal Iq ◽

Score Difference ◽

The Difference ◽

And Performance

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.

Download Full-text