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alimohammadi--hassan
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Fluence Map Optimization in IMRT Planning under Uncertainty
, M.Sc. Thesis Sharif University of Technology ; Rafiee, Majid (Supervisor)
Abstract
Cancer is one of the main causes of death among all people around the world. This shows that more and more attention should be paid to cure cancer. One of the most common cancer treatments is radiation therapy. Among all radiation therapy treatments, Intensity-Modulated Radiation Therapy is a very effective and flexible ways to treat cancer. There are numerous mathematical problems to find the perfect treatment plan. One of these mathematical problems is Fluence Map Optimization in which we try to find the best dose intensity for each tumor and surrounding organs. The main purpose in this problem is to minimize the number of cancerous cells which are being destroyed while minimizing the...
Seismic Risk Assessment of Tehran Masonry School Buildings
, M.Sc. Thesis Sharif University of Technology ; Bakhshi, Ali (Supervisor)
Abstract
This thesis aims to assess the seismic risk of the community of schools with masonry buildings in the Tehran metropolitan in the next 50 years and to prioritize the buildings of this community for seismic retrofit based on the optimal mitigation of risk of the community. Tehran is among the largest cities with the highest level of seismic risk in the world, and Masonry buildings are among the structures with poor seismic performance; Therefore, it is essential to conduct a comprehensive and accurate evaluation of the seismic risk of schools, as one of the most critical and sensitive occupancies, in this region and with this type of structure. It is also very beneficial to reduce the seismic...
Experimental and numerical investigation of the effect of a speed bump on car noise emission level
, Article Applied Acoustics ; Volume 68, Issue 11-12 , 2007 , Pages 1346-1356 ; 0003682X (ISSN) ; Hodaei, M ; Alimohammadi, I ; Sharif University of Technology
2007
Abstract
The noise emission level associated with two types of speed reducers has been investigated numerically and experimentally for different dimensions and different speeds of vehicle (20, 40 and 60 km/h) and zero acceleration. Numerical analysis has been performed using an FEM method in the ANSYS environment. The experiments show that for a bump of height 0.04 m, the peak noise level is increased by between 1 and 14 dB (A) whereas, for bump of height 0.055 m, the peak noise level increases by between 1 and 19 dB (A). There is an excellent agreement between the numerical and experimental results. © 2006 Elsevier Ltd. All rights reserved
Surface modification of polyether ether ketone implant with a novel nanocomposite coating containing poly (vinylidene fluoride) toward improving piezoelectric and bioactivity performance
, Article Colloids and Surfaces B: Biointerfaces ; Volume 222 , 2023 ; 09277765 (ISSN) ; Ramazani S. A., A ; Sharif University of Technology
Elsevier B.V
2023
Abstract
Polyether ether ketone (PEEK) is an appropriate biomaterial for orthopedic implant applications due to its superior mechanical properties, chemical resistance, nontoxicity, and Magnetic resonance imaging (MRI) compatibility. Unfortunately, the inherent bio-inertness of PEEK restricted its application and required some modification to provide better bioactivity. Besides it, the generated electrical signals in the bone due to its piezoelectricity features have a vital role in regulating bone repair and regeneration. We aimed to modify the surface of PEEK with a dual-functionality nanocomposite that provides surface bioactivity and simulates the piezoelectricity of bone. So, we introduced a...
Seismic risk assessment of Tehran masonry school buildings and prioritizing them for seismic retrofitting using reliability methods
, Article Natural Hazards ; Volume 120, Issue 13 , 2024 , Pages 11903-11929 ; 0921030X (ISSN) ; Bakhshi, A ; Yekrangnia, M ; Sharif University of Technology
2024
Abstract
This paper aims to evaluate the seismic risk of the masonry school buildings located in the Tehran metropolis over the next 50 years and to prioritize them for seismic retrofitting toward optimal seismic risk mitigation. Tehran ranks among the world's largest cities facing a significant seismic hazard, and masonry buildings are identified as among the structural types exhibiting the poorest seismic performance. In addition, school buildings, due to their population density, are considered important buildings by many seismic codes; Consequently, it is vital to conduct a comprehensive seismic risk analysis for these buildings and strategically allocate limited resources to their seismic...
Studying Synchronization Control in Complex Systems
, M.Sc. Thesis Sharif University of Technology ; Rahimi Tabar, Mohammad Reza (Supervisor)
Abstract
In this thesis, we review recent advances on controlling of complex systems. We provide in details, the concepts of synchronizability and synchronization controllability.Then we will investigate synchronization controllability under different pinning schemes, and propose a new pinning strategy to increase controllability and consequently decrease the number of required pinned nodes (known as driver nodes) to assure a stable synchronized state. We also study the network characteristics of resulted sequence of driver nodes. Finally, we will employ our proposed schemes to study the controllability of complex networks of chaotic Rossler oscillators
Falcaria vulgaris leaves extract as an eco-friendly corrosion inhibitor for mild steel in hydrochloric acid media
, Article Scientific Reports ; Volume 13, Issue 1 , 2023 ; 20452322 (ISSN) ; Ghaderi, M ; Ramazani Saadatabadi, A ; Mahdavian, M ; Sharif University of Technology
Nature Research
2023
Abstract
Undoubtedly, metal corrosion is one of the most challenging problems faced by industries. Introducing corrosion inhibitors is a reasonable approach to protecting the metal surface. Due to environmental concerns and the toxicity of industrial organic corrosion inhibitors, researchers are continually exploring acceptable replacements. The current study focused on the application of Falcaria Vulgaris (FV) leaves extract to mitigate mild steel (MS) corrosion in a 1 M HCl environment. The polarization findings demonstrated that the corrosion current density decreased from 264.0 µA/cm2 (for the sample submerged in the blank solution) to 20.4 µA/cm2 when the optimal concentration of 800 ppm of FV...
Intelligent Force Control for Hydraulic Manipulator within the Impedance Control Framework
, M.Sc. Thesis Sharif University of Technology ; Khayyat, Amir Ali Akbar (Supervisor)
Abstract
The main concept of this thesis is to simulate, develop, and analyze the performance of force control method by applying to a Unimate MK-II hydraulic manipulator. In this investigation, simulation studies are based on the concept of impedance control technique. Position-based formulation of impedance control is employed. First in this research, a PID controller is employed and is shown to be capable of performing position control task precisely despite the fact that inertia, joint stiction, valve deadband and other nonlinearities are presented. Although trajectory tracking is performed well after several investigations, we have concluded that the impedance control cannot perform a desirable...
A machine learning approach to optimize the performance of a combined solar chimney-photovoltaic thermal power plant
, Article Renewable Energy ; Volume 212 , 2023 , Pages 717-737 ; 09601481 (ISSN) ; Shakibi, H ; Alimohammadi, M ; Naghdbishi, A ; Goodarzi, S ; Sharif University of Technology
Elsevier Ltd
2023
Abstract
Solar Chimney Power Plant (SCPP) is a renewable energy system that indirectly converts solar energy to electricity. However, the efficiency of SCPP is not sufficient for practical applications. Integrating SCPPs with Photovoltaic-Thermal systems (PVT) could enhance their performance to levels acceptable for industrial adoption. This study investigates the combined SCPP-PVT performance for the weather conditions of Austin (Texas), San Diego (California), and Phoenix (Arizona), all on a similar latitude. Various configurations of this combined system are numerically simulated, and their efficiencies are compared with a conventional SCPP, SCPP-Photovoltaic (PV), and stand-alone PV modules....
Graphene-based nanoparticles as potential treatment options for parkinson’s disease: A molecular dynamics study
, Article International Journal of Nanomedicine ; Volume 15 , 2020 , Pages 6887-6903 ; Khedri, M ; Jahromi, A. M ; Maleki, R ; Rezaian, M ; Sharif University of Technology
Dove Medical Press Ltd
2020
Abstract
Introduction: The study of abnormal aggregation of proteins in different tissues of the body has recently earned great attention from researchers in various fields of science. Concerning neurological diseases, for instance, the accumulation of amyloid fibrils can contribute to Parkinson’s disease, a progressively severe neurodegenerative disorder. The most prominent features of this disease are the degeneration of neurons in the substantia nigra and accumulation of α-synuclein aggregates, especially in the brainstem, spinal cord, and cortical areas. Dopamine replacement therapies and other medications have reduced motor impairment and had positive consequences on patients’ quality of life....
Structural Design of a Launch Vehicle with Reusable First Stage
, M.Sc. Thesis Sharif University of Technology ; Haddadpour, Hassan (Supervisor)
Abstract
Aerodynamics loads and aeroheating during reentry, are one of the challenging issues in designing One of the main challenges in the design and application of reusable spacecrafts is the aerodynamic and thermal loads acting on their structures during reentry into the atmosphere. For this reason, all the concepts/prototypes presented in the 20th century were either not fully reusable, or were partially canceled, or did not have economic justification. In this report, the aerodynamic loads on the first stage of a launch vehicle during the launch and return phases have been investigated. Due to the fact that the main part of the first stage of the vehicle includes fuel and oxidizer tanks, the...
Statistical distribution of micro and macro pores in acrylic bone cement- effect of amount of antibiotic content
, Article Journal of the Mechanical Behavior of Biomedical Materials ; Volume 150 , 2024 ; 17516161 (ISSN) ; Mirzabozorg, H ; Farahmand, F ; Kim, S ; Baril, C ; Ploeg, H.-L ; Sharif University of Technology
Elsevier
2024
Abstract
Aseptic loosening due to mechanical failure of bone cement is considered to be a leading cause of revision of joint replacement systems. Detailed quantified information on the number, size and distribution pattern of pores can help to obtain a deeper understanding of the bone cement's fatigue behavior. The objective of this study was to provide statistical descriptions for the pore distribution characteristics of laboratory bone cement specimens with different amounts of antibiotic contents. For four groups of bone cement (Palacos) specimens, containing 0.3, 0.6, 1.2 and 2.4 wt/wt% of telavancin antibiotic, seven samples per group were micro computed tomography scanned (38.97 μm voxel size)....
A validated numerical-experimental design methodology for a movable supersonic ejector compressor for waste-heat recovery
, Article Journal of Thermal Science and Engineering Applications ; Volume 6, Issue 2 , Oct , 2014 ; 19485085 (ISSN) ; Persoons, T ; Murray, D. B ; Tehrani, M. S ; Farhanieh, B ; Koehler, J ; Sharif University of Technology
Web Portal ASME (American Society of Mechanical Engineers)
2014
Abstract
The aim of this paper is to develop the technical knowledge, especially the optimum geometries, for the design and manufacturing of a supersonic gas-gas ejector for a wasteheat driven vehicle cooling system. Although several studies have been performed to investigate the effects of geometrical configurations of gas-gas ejectors, a progressive design methodology of an ejector compressor for application to a vehicle cooling system has not yet been described. First, an analytical model for calculation of the ejector optimum geometry for a wide range of operating conditions is developed, using R134a as the working fluid with a rated cooling capacity of 2.5 kW. The maximum values of entrainment...
Functionalization of metal-organic frameworks with metallic nanoclusters for ultra-sensitive monitoring of morphine in biological fluids
, Article Sensors and Actuators B: Chemical ; Volume 393 , 2023 ; 09254005 (ISSN) ; Chenani, H ; Amidian, M ; Rajabi, N ; Alimohammadi, H ; Zarrabi, A ; Simchi, A ; Sharif University of Technology
Elsevier B.V
2023
Abstract
A reliable, fast, and cost-effective method of monitoring morphine (MO) concentration in biological fluids is highly desired in clinical and modern medicine. Nanotechnology has opened up new possibilities for developing morphine biosensors, but the most advanced electrodes available offer a detection limit (LOD) of ≥10 nM. This work introduces a new, ultrasensitive electrochemical biosensor based on microporous metal-organic frameworks (∼1100 cm2 g−1 surface area) modified by Ag clusters (∼2 nm) and functionalized by Au nanoparticles (∼180 nm). Electrochemical studies show that functionalizing the microporous crystalline particles (620 ± 45 nm) with metal nanoclusters enhances charge...
Optimal Trajectory Correction for Hazardous Near-Earth Asteroids
,
M.Sc. Thesis
Sharif University of Technology
;
Zohoor, Hassan
(Supervisor)
;
Sayyadi, Hassan
(Supervisor)
Abstract
The collision of moderately large asteroids and comets also referred to as Near-Earth Objects (NEO's) with earth would have catastrophic consequences. Such events have occurred in the past and may occur again in the future. However, for the first time in known history, humanity may have the technology required to counter this threat. Methods studied for mitigation of this hazard are based on deflecting asteroid's trajectory and are normally divided into two basic categories: high energy impulsive methods, and long-duration low-thrust methods. Two parts of mission to be optimized are the trajectory of spacecraft to reach the target and the deflection strategy which could be analyzed by the...
Biodecolourization and Biodetoxification of Dye-containing Wastewaters from Textile Dyeing by the Native Fungal Strain Phanerochaete Chrysosporium and Trametes Species
, M.Sc. Thesis Sharif University of Technology ; Borghei, Mehdi (Supervisor) ; Mosavi, Abas (Supervisor) ; Ghobadi Nehad, Zahra (Co-Supervisor)
Abstract
Treatment of Wastewater of textile industries has been always challenging due to the high organic matter which is a suitable substrate for the growth of microorganisms. Also, discharge of wastewater into the open water causes water adsorbing more sunlight, raising water temperature and therefor decreasing dissolved oxygen. In addition, the acidity of wastewater decreases the quality of agricultural soil. Among wastewater treatment methods, biological methods are cheaper, environment friendly, and produce less by product. Among all the microorganism responsible for biological treatment, fungi and enzymes are more applicable. Especially white-rot fungi are the most effective microorganism to...
A revised version of ACO for cutting stock problem [electronic resource]
, Article International Journal of Industrial Engineering ; Vol 15, No 4 (2008), Pages 341-348 ; Javanshir, Hassan ; Sharif University of Technology
Abstract
The one-dimensional cutting stock problem has many applications in industries and during the past few years has been one of the centers of attention among the researchers in the field of applied operations research. In this paper, a revised version of Ant Colony Optimization (ACO) technique is presented to solve this problem. This paper is a sequel to the previous ACO algorithm presented by the authors. In this algorithm, according to some probabilistic rules, artificial ants will select cutting patterns and generate a feasible solution. Computational results show the high efficiency and accuracy of the proposed algorithm for solving one- dimensional cutting stock problem
Control of Car-Like Multi Robots for Following and Hunting of Moving Target
, M.Sc. Thesis Sharif University of Technology ; Sayyaadi, Hassan (Supervisor) ; Salarieh, Hassan (Co-Advisor)
Abstract
The main purpose of the present thesis is to establish a decentralized controller for some car–like multi robots to follow and hunt moving targets. Robots are very similar to actual cars considering geometric dimensions, mass and moment of inertia and so on; and outputs of the controller are steering-wheel and driving-wheel torques appropriately. Dynamics of the moving target is so that it escapes from the robots. Robots are equipped with antenna for getting wireless sensory signals, including range and bearing sensors. Kalman filter is used for estimation the target relative position and speed and robots state variables. The controller is designed for doing the above mentioned group...
Noise Covariance Prediction of IMU using ANN in Dead-Reckoning Navigation for Constrained Dynamics
, M.Sc. Thesis Sharif University of Technology ; Salarieh , Hassan (Supervisor) ; Zohoor, Hassan (Supervisor)
Abstract
Dead Reckoning navigation, as an infrastructure-independent approach, plays a key role in scenarios where access to the Global Navigation Satellite System (GNSS) is unavailable; however, its performance is consistently affected by the accumulation of errors in inertial measurement unit (IMU) sensors. In this research, a novel approach is proposed to enhance the accuracy of this method. In the first stage, sensor noise modeling is performed using three innovative approaches. The first approach involves a static tuning based on an adaptive Extended Kalman Filter (AEKF). In this method, the discrete process noise covariance matrix is adaptively estimated, and the continuous-time process noise...
Stock Price Forecasting Using Neural Networks and Fuzzy Logic
,
M.Sc. Thesis
Sharif University of Technology
;
Shavandi, Hassan
(Supervisor)
Abstract
This research proposes a novel hybrid method for stock price index forecasting relying on technical analysis, the fundamental analysis of capital market, neural networks technology, and fuzzy logic. The new method shows a good performance comparing complicated and time-consuming forecasting methods. Several factors influence stock price; for example, an important one is the previous trend of stock price. Fortunately, by developing technical analysis and introducing the various indices of this method the maximum use of historical data is made in order to forecast future prices. Another kind of factors is macro-economic variables that their influence on the long-term trends of the stock...