Modelling of material non‐linearities in steel structures subjected to transient dynamic loading

Elnashai, Amr S.; Izzuddin, B.A.

doi:10.1002/eqe.4290220604

Cited by 52 publications

(19 citation statements)

References 10 publications

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“…The bilinear steel model with kinematic strain hardening was adopted for modelling the reinforcing steel. This follows earlier studies by Kateinas 28 and Elnashai and Izzuddin, 43 where it was indicated that the difference between bilinear representation and more refined models is not large.…”

Section: Program Models and Methodssupporting

confidence: 79%

Structural performance and economics of tall high strength RC buildings in seismic regions

Laogan

Elnashai

1999

Struct. Design Tall Build.

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For a multitude of economic and societal considerations, high rise structures are on the increase. This in turn promotes the use of high strength materials to reduce column size and construction times. Whereas design guidance and engineering understanding of high strength RC structures under static loading is well‐developed, little work has been undertaken on the economics of whole buildings and their performance under earthquake loading. In this paper, 10 buildings of 24 stories are designed and detailed according to modern seismic codes. The buildings are all nominally equivalent, using a stiffness equivalence criterion and its derivatives. The cost of construction is compared in terms of steel, concrete and formwork. The static inelastic response of the buildings is also assessed, followed by a full nonlinear dynamic analysis of all buildings using three earthquake records at the design acceleration and twice the design value. Comprehensive assessment of the static and dynamic results is undertaken. It is concluded that the cost increase is mainly due to the steel, whilst significant member reductions may be availed of by using high strength concrete. The behaviour of high strength concrete structures is not inferior to that of normal strength materials. Indeed, it is observed that lower levels of overstrength can be achieved in high strength materials than in their normal strength counterparts, mainly due to the over‐reinforcement of the latter to resist vertical forces. Recommendations on the use of equivalent cracked stiffness for period calculation in design, and also effective periods for use in displacement‐based design, are given. Copyright © 1999 John Wiley & Sons, Ltd.

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Section: Program Models and Methodssupporting

confidence: 79%

Structural performance and economics of tall high strength RC buildings in seismic regions

Laogan

Elnashai

1999

Struct. Design Tall Build.

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“…In such cases, the tests were conducted using cyclic loading and pseudo-dynamic testing under earthquake strong-motion (e.g. Elnashai and Izzuddin [19]). At ÿrst, in this paper, we investigate maximum loads of steel piers.…”

Section: Numerical Resultsmentioning

confidence: 99%

Analysis of tubular steel bridge piers

Ishizawa

Iura

2005

Earthquake Engng Struct. Dyn.

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SUMMARYA one-dimensional model is proposed for the static and dynamic analysis of tubular steel bridge piers subjected to strong ground motions. The present formulation does not require experimental results nor shell analysis to obtain the constitutive equation of the model, which shows strength deterioration. The material properties and dimensions of bridge piers are required for static and dynamic analysis of the present model. The present analysis consists of two steps. The ÿrst step is to obtain the stress and strain relationship of the base plastic-hinge region, where local inelastic buckling is observed. The modiÿed Shanley's model and ÿber elements are used to establish the compressive skeleton curve. The strength deterioration is taken into account in the resulting constitutive model. The second step is to analyze static and dynamic responses of tubular steel bridge piers. For overall analysis, the base plastic-hinge region is discretized in the circumferential direction by using ÿber elements whose constitutive equation was obtained in the ÿrst step. The validity of the present model has been conÿrmed through comparisons with existing experimental results.

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“…10 shows how the yield to ultimate tensile strength ratio varies as a function of the key solutes, carbon and manganese. A low ratio is essential in safe design against calamities such as earthquakes, because it is necessary then to sustain a lot of plasticity prior to fracture during dynamical loading [72,73].…”

Section: Expression Of Data and Control Algorithmsmentioning

confidence: 99%

Neural Networks and Information in Materials Science

Bhadeshia

2009

Statistical Analysis

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Abstract:Neural networks have pervaded all aspects of materials science resulting in the discovery of new phenomena and have been used in quantitative design and control. At the same time, they have introduced a culture in which both noise and modeling uncertainties are considered in order to realize the value of empirical modeling. This review deals with all of these aspects using concrete examples to highlight the progress made, whilst at the same time emphasizing the limitations of the method. 

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Modelling of material non‐linearities in steel structures subjected to transient dynamic loading

Cited by 52 publications

References 10 publications

Structural performance and economics of tall high strength RC buildings in seismic regions

Structural performance and economics of tall high strength RC buildings in seismic regions

Analysis of tubular steel bridge piers

Neural Networks and Information in Materials Science

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