Ultimate and fatigue response of shear dominated full-scale pretensioned concrete box girders

2006 ◽  
Vol 23 (4) ◽  
pp. 353-367
Author(s):  
M. Saiid Saiidi ◽  
Anita Bush
2017 ◽  
Vol 754 ◽  
pp. 341-344
Author(s):  
Kizzy van Meirvenne ◽  
Wouter de Corte ◽  
Veerle Boel ◽  
Luc Taerwe

Pretensioned concrete girders are widely used in the construction sector. Nevertheless, optimisation is still possible considering the end zones. These end zones are subject to different types of stress due to the local transmission of the prestress force. In order to optimise these regions, a 3D non-linear finite element model was developed using the Abaqus software. Different from other attempts, a full scale girder with multiple strands is modelled. The accuracy of the FE model was verified by comparing the numerical results with experimental data. A full scale test in a precast concrete plant during normal production is carried out, and a good fit between the experimental and numerical results is obtained. Finally, the model was used to design a girder without end block. The calculation of the additional reinforcement was based on vector plots of the tensile stresses, extracted from the FEM.


PCI Journal ◽  
2000 ◽  
Vol 45 (2) ◽  
pp. 96-105
Author(s):  
M. Saiid Saiidi ◽  
Yolanda Labia ◽  
Bruce Douglas

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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