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The Seismic Assessment of the Low Rise Steel Structures with Irregular Plans

, M.Sc. Thesis Sharif University of Technology Doozandeh, Pourya (Author) ; Mofid, Masoud (Supervisor)

Abstract

Abstract
In this research, the effect of irregularity in the plan floor of structures, including geometric and torsional irregularity on the seismic behavior of steel moment frames braced with chevron knee braces (CKBs) has been investigated. To achieve this, three–dimensional 5-, 8-, 12-story steel buildings models with regular and irregular plan floors were built in OpenSees software and subjected to nonlinear static (pushover) and nonlinear incremental dynamic analysis (IDA) under 22 ground motion records. The performance of each model was then examined by calculation of three seismic design parameters: response modification (R), structural over strength (Ω), and structural ductility...

Modeling of Crumb Rubber Concrete for a Structural Column by Evaluating the use of FRP

, M.Sc. Thesis Sharif University of Technology Ghaznavi Doozandeh, Soheil (Author) ; Khaloo, Alireza (Supervisor)

Abstract

The research shows that the compressive strength of concrete reduced by replacing crumb rubber in concrete mix design compared to normal concrete mix design. However, there have been a couple of utilizations investigated to date for the structural utilization of these materials. Crumb rubber is usually provided from recycled rubber from automotive and truck scrap tires. During the recycling process steel and triviality are removed, leaving tire rubber with a granulose cohesiveness. The additional crumb-rubber aggregate has a significant effect on concrete mix porosity which affects both the plastic state workability and hardened state mechanical properties. This research depicts an...

Graphic: Graph-based hierarchical clustering for single-molecule localization microscopy

, Article 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, 13 April 2021 through 16 April 2021 ; Volume 2021-April , 2021 , Pages 1892-1896 ; 19457928 (ISSN); 9781665412469 (ISBN) Pourya, M ; Aziznejad, S ; Unser, M ; Sage, D ; Sharif University of Technology

IEEE Computer Society 2021

Abstract

We propose a novel method for the clustering of point-cloud data that originate from single-molecule localization microscopy (SMLM). Our scheme has the ability to infer a hierarchical structure from the data. It takes a particular relevance when quantitatively analyzing the biological particles of interest at different scales. It assumes a prior neither on the shape of particles nor on the background noise. Our multiscale clustering pipeline is built upon graph theory. At each scale, we first construct a weighted graph that represents the SMLM data. Next, we find clusters using spectral clustering. We then use the output of this clustering algorithm to build the graph in the next scale; in...

Numerical Modeling of Liquid Jet Breakup Using SPH Method

, M.Sc. Thesis Sharif University of Technology Pourabdian, Majid (Author) ; Morad , Mohammad Reza (Supervisor) ; Omidvar, Pourya (Supervisor)

Abstract

Smoothed Particle Hydrodynamics (SPH) is a numerical Lagrangian meshless method which has numerous applications in astrophysics, hydrodynamics, free-surface flows, jets and sprays formation. Atomization of continuum liquid to fine droplets or in other words, liquid breakup processes are emerged in many engineering applications such as fuel sprays inside the combustion chamber of internal combustion engines that sizes of produced sprays significantly influence the engine’s efficiency. This research is accomplished to investigate the one-phase and two-phase flows of liquid jet breakup. For this aim, an open source code called SPHysics which solves the flow field by SPH method is utilized. This...