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Hong Guan

Researcher at Griffith University

Publications -  282
Citations -  4788

Hong Guan is an academic researcher from Griffith University. The author has contributed to research in topics: Progressive collapse & Finite element method. The author has an hindex of 29, co-authored 265 publications receiving 3507 citations. Previous affiliations of Hong Guan include Arizona State University & Hanyang University.

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Application of the finite element method in dental implant research

TL;DR: The achievements and advancements in dental technology brought about by computer-aided design and the all powerful finite element method (FEM) of analysis are reviewed.
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A shear wall element for nonlinear seismic analysis of super-tall buildings using OpenSees

TL;DR: In this article, a new shear wall element model and associated material constitutive models based on the open source finite element (FE) code OpenSees are developed to perform nonlinear seismic analyses of high-rise RC frame-core tube structures.
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Collapse simulation of reinforced concrete high‐rise building induced by extreme earthquakes

TL;DR: In this article, a finite element method based numerical model encompassing fiber-beam element model, multilayer shell model, and elemental deactivation technique is proposed to predict the collapse process of high-rise buildings subjected to extreme earthquake.
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Stiffness and strength parameters for hardening soil model of soft and stiff Bangkok clays

TL;DR: In this paper, a comprehensive set of experimental data on Bangkok subsoils from oedometer and triaxial tests are analyzed in order to determine the stiffness and strength parameters for Hardening Soil Model.
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An improved tie force method for progressive collapse resistance design of reinforced concrete frame structures

TL;DR: In this paper, a numerical study on two reinforced concrete (RC) frame structures demonstrates that the current tie force (TF) method is inadequate in increasing the progressive collapse resistance and the fundamental principles inherent in the current TF method are examined in some detail.