scholarly journals Laboratory Full-Scale Comparative Tests of Rigid and Flexible Foundations of Buried Steel Structures

2020 ◽  
Vol 20 (3) ◽  
pp. 808-816
Author(s):  
Adam Wysokowski ◽  
Michał Mońka
Author(s):  
Bijan Talei-Faz ◽  
Feargal P. Brennan ◽  
Stuart Robson

A series of six static strength destructive tests were performed on full-scale pre-cracked tubular welded T-joints manufactured from a high strength weldable steel used in the construction of offshore Jack-Up platforms. All specimens had at least one through-thickness fatigue crack at the weld toe, from a previous fatigue-testing programme. The tests were aimed at analysing the residual static strength of the cracked members. As destructive tests are costly to perform, every effort was made to maximise the data collected. This included the use of a novel photogrammetric technique to provide three-dimensional measurement in real time of the deformation in the vicinity of the brace-chord intersection. The technique has been used for large-scale structural testing in a number of civil and aerospace applications, but to the author’s knowledge this is the first time that it has been employed for the full-scale mechanical testing of large steel structures. This paper describes the details of the photogrammetric technique applied to the large steel specimens which were loaded to failure, resulting in the total separation of the intersecting members. It is hoped that the technique can be used to generate information which can be used in conjunction with finite element or other numerical analyses to increase the accuracy and reliability of modelling cracked tubular joints.


2021 ◽  
Vol 44 ◽  
pp. 103269
Author(s):  
Jiadi Liu ◽  
Zhihua Chen ◽  
Yang Liu ◽  
Yu Bai ◽  
Xu Zhong

2020 ◽  
Vol 210 ◽  
pp. 110364
Author(s):  
Vitaliy V. Saykin ◽  
Tam H. Nguyen ◽  
Jerome F. Hajjar ◽  
Derya Deniz ◽  
Junho Song

Minerals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 623
Author(s):  
Andreas Svanberg ◽  
Simon Larsson ◽  
Rikard Mäki ◽  
Pär Jonsén

Failure in industrial processes is often related to wear and can cause significant problems. It is estimated that approximately 1–4% of the gross national product for an industrialized nation is related to abrasive wear. This work aims to numerically predict development of wear for full-scale mining applications in harsh sub-arctic conditions. The purpose is to increase the understanding of wear development in industrial processes and optimize service life and minimize costs related to wear. In the present paper, a granular material model consisting of the discrete element method (DEM) and rigid finite element particles is utilized to study wear in full-scale mining applications where granular materials and steel structures are present. A wear model with the basis in Finnie’s wear model is developed to calculate wear from combined abrasive sliding and impact wear. Novel in situ full-scale experiments are presented for calibration of the wear model. A simulation model of the rope shovel loading process is set up where the bucket filling process is simulated several times, and the wear is calculated with the calibrated wear model. From the full-scale validation, it is shown that the simulated wear is in excellent agreement when compared to the experiments, both regarding wear locations and magnitudes. After validation, the model is utilized to study if wear can be minimized by making small changes to the bucket. One major conclusion from the work is that the presented wear simulator is a suitable tool that can be used for product development and optimization of the loading process.


Vestnik MGSU ◽  
2021 ◽  
pp. 340-346
Author(s):  
 Yuri I. Gustov ◽  
Igor O. Makhov

Introduction. The data of the results of the inspection of steel structures are given, based on the analysis of which strength classes of structural steels are established. The goal has been solved by determining the chemical composition of metal structures and full-scale tests of the mechanical characteristics of steel structures, followed by a calculated conversion of the hardness index HB to the value of temporary tensile strength σv. Materials and methods. Strength indicators of metal structures are determined by non-destructive express method by means of a portable hardness tester of the dynamic principle of action. For the calculated determination of the breaking strength σv adopted the average lengthening coefficient kδ. By its value, the indicators of elongation and contraction are established, as well as the yield strength of the metal. Based on the calculated standard indicators of plasticity (δ, ψ) and strength (σv, σt), the complex criterion C equation is compiled. Using it, calculated the uniform elongation δр and the transverse narrowing ψр, which were used to assess the tensile strength (Sv, Sk) and fatigue (σ–1, τ–1). The chemical composition of small-sized samples in the form of metal shavings was determined by x-ray fluorescence. Additionally, the chemical composition of the steel was monitored using a scanning microscope with an attachment for determi­ning the chemical composition by energy dispersive x-ray spectroscopy. Results. The proposed research method makes it possible to conduct full-scale tests of metal structures and reduces the complexity of the selection and delivery of samples for laboratory research. The results obtained by both methods are correlated with the source data (design documentation for the object of the survey). Conclusions. An integrated method of sampling and direct measurement of hardness on site allows one to determine the chemical composition of metal structures, the grade and type of structural steel and its mechanical properties. At the same time, the scientific novelty is the given technique as a whole, which is characterized by a significant reduction in labor costs and minimization of damage to the objects under study.


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.


Sign in / Sign up

Export Citation Format

Share Document