Kazem Ghabraie
University of Southern Queensland
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Publication
Featured researches published by Kazem Ghabraie.
International Journal of Geomechanics | 2016
Tin Nguyen; Kazem Ghabraie; Thanh Tran-Cong; Behzad Fatahi
Finding an optimum reinforcement layout for underground excavation can result in a safer and more economical design, and is therefore highly desirable. Some works in the literature have applied topology optimization in tunnel reinforcement design in which reinforced rock is modeled as homogenized isotropic material. Optimization results, therefore, do not clearly show reinforcement distributions, leading to difficulties in explaining the final outcomes. To overcome this deficiency, a more sophisticated modeling technique in which reinforcements are explicitly modeled as truss elements embedded in rock mass media is used. An optimization algorithm extending the solid isotropic material with penalization method is introduced to seek for an optimal bolt layout. To obtain the stiffest structure with a given amount of reinforced material, external work along the opening is selected as the objective function with a constraint on the volume of reinforcement. The presented technique does not depend on material models used for rock and reinforcements and can be applied to any material model. Nonlinear material behavior of rock and reinforcement is considered in this work. Through solving some typical examples, the proposed approach is proved to enhance the conventional reinforcement design and provide clear and practical reinforcement layouts.
Geotechnical and Geological Engineering | 2013
Behrooz Ghabraie; Gang Ren; Kazem Ghabraie; Yi Min Xie
The truss bolt reinforcement system has been used in controlling the stability of underground excavations in severe ground conditions and cutter roof failure in layered rocks especially in coal mines. In spite of good application reports, working mechanism of this system is largely unknown and truss bolts are predominantly designed based on past experience and engineering judgement. In this study, the reinforcing effect of the truss bolt system on an underground excavation in layered rock is studied using non-linear finite element analysis. Different indicators are defined to evaluate the reinforcing effects of the truss bolt system. Using these indicators one can evaluate the effects of a reinforcing system on the deformation, loosened area, failure prevention, horizontal movement of the immediate layer, shear crack propagation and cutter roof failure of underground excavations. Effects of truss bolt on these indicators reveal the working mechanism of the truss bolt system. To illustrate the application of these indicators, a comparative study is conducted between three different truss bolt designs. It is shown that the design parameters of truss bolt systems, including tie-rod span, length, and angle of the bolts can have significant effects on the reinforcing capability of the system.
Journal of Composites for Construction | 2018
Wahid Ferdous; Allan Manalo; Gerard Van Erp; Thiru Aravinthan; Kazem Ghabraie
This paper introduces an innovative composite railway sleeper with an optimal material usage for a narrow-gauge railway track under static loading condition. The composite sleeper is designed using sandwich panels that were bonded and coated with epoxy polymer matrix. The sleeper’s optimized shape was obtained using topology optimization. The vertical deflection and sleeper-ballast contact pressure of the optimized sleeper were analyzed by finite-element simulation and compared with a traditional timber sleeper. Prototype sleepers were then manufactured and their performance was evaluated experimentally. Results showed that the optimal sleeper shape only needs 50% volume of materials required for a standard rectangular timber sleeper. The performance of the optimal sleeper satisfactorily met the Australian standard requirements and was very similar to a timber sleeper indicating the high potential of this sleeper technology to replace the existing timber sleepers. This new sleeper is currently being tested in the Queensland Rail network as part of their sleeper maintenance program.
Civil Infrastructures Confronting Severe Weathers and Climate Changes Conference | 2018
Kazem Ghabraie
The problem of finding the optimal reinforcement layout for underground openings is considered. The rock material is assumed to sustain only compressive stresses while the reinforcements are in pure tension. It is shown that in this case, the optimal reinforcement layout can be achieved by solving a truss optimisation problem. The theory of truss optimisation is briefly presented. It is shown that the optimal layout of reinforcing bars is independent of the material properties of the reinforcing bars and the ground material.
World Congress of Structural and Multidisciplinary Optimisation | 2017
Kazem Ghabraie
Topology optimisation techniques typically use a very small positive density \(\varepsilon \) to model voids. Despite its simplicity and generally acceptable results, this approach can impose a number of difficulties. The weak material should be weak enough to validate the approximation of void areas, but on the other hand, using a very weak material can result in ill-conditioning of the stiffness matrix. Further and more serious complications can arise, for example in non-linear problems where weak elements cause numerical instabilities in the solution procedure. By studying the mechanical responses of structures when \(\varepsilon \rightarrow 0\), this paper presents a simple approach to use arbitrarily weak material properties in void areas. This approach would effectively allow us to actually remove the void areas from the mesh in a range of problems and avoid the above-mentioned complexities.
Engineering Structures | 2010
Kazem Ghabraie; Ricky W.K. Chan; Xiaodong Huang; Yi Min Xie
Journal of Computational Science and Technology | 2010
Kazem Ghabraie; Yi Min Xie; Xiaodong Huang; Gang Ren
Computers and Geotechnics | 2014
Tin Nguyen; Kazem Ghabraie; Thanh Tran-Cong
Structural and Multidisciplinary Optimization | 2015
Kazem Ghabraie
Computers and Geotechnics | 2015
Tin Nguyen; Kazem Ghabraie; Thanh Tran-Cong