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Multidisciplinary Design Optimization of a Guided Flying Vehicle Considering Uncertainties
, M.Sc. Thesis Sharif University of Technology ; Pourtakdoust, Hossein (Supervisor)
Abstract
Uncertainty-based Multidisciplinary Design Optimization (UMDO) is a growing approach in design of complex engineering which has been of great interest to many design bureau and research center especially in field of aerospace. The UMDO goal is to achieve a global optimum design using effective disciplines, interdisciplinary relations and appropriate uncertainty modeling. In this regard, choosing main analysis, design discipline, uncertainty modeling and their content fitness, formulating the problem structure, interaction of disciplines, modeling level of fidelity and the optimization method are the most important challenge of the MDO problem so UMDO is a new trend of MDO, and have been the...
Multidisciplinary design of a guided flying vehicle using simplex nondominated sorting genetic algorithm II
, Article Structural and Multidisciplinary Optimization ; Volume 57, Issue 2 , February , 2018 , Pages 705-720 ; 1615147X (ISSN) ; Pourtakdoust, S. H ; Sharif University of Technology
Springer Verlag
2018
Abstract
This paper presents design of a typical Guided Flying Vehicle (GFV) using the multidisciplinary design optimization (MDO). The main objectives of this multi-disciplinary design are maximizing the payload’s weight as well as minimizing the miss distance. The main disciplines considered for this design include aerodynamics, dynamic, guidance, control, structure, weight and balance. This design of GFV is applied to three and six Degree of Freedom (DOF) to show comparison of simulation results. The hybrid scheme of optimization algorithm is based on Nelder-Mead Simplex optimization algorithm and Nondominated Sorting Genetic Algorithm II (NSGA II), called Simplex-NSGA II. This scheme is...
Development of high-resolution emission inventory to study the relative contribution of a local power plant to criteria air pollutants and Greenhouse gases
, Article Urban Climate ; Volume 38 , 2021 ; 22120955 (ISSN) ; Abolmaali, A. M ; Alizadeh, H ; Salavati, H ; Zokaei, H ; Zandavi, R ; Torbatian, S ; Yazgi, D ; Hosseini, V ; Sharif University of Technology
Elsevier B.V
2021
Abstract
Electrification of energy systems, including an increased percentage of electric vehicles on the road, is one of the primary paths to achieve zero carbon emissions. However, a reduced share of fossil fuel in transportation and industry requires a significant shift in power generation energy sources. Power generation from renewable sources is still limited and will be for the foreseeable future. Developing countries and oil-producing nations in the middle east may shift to electric vehicles, but electricity energy sources will not be easily moved to renewables., A detailed and comprehensive emission inventory was developed in a bottom-up method for a typical populated city in Iran,...
An emission inventory update for Tehran: The difference between air pollution and greenhouse gas source contributions
, Article Atmospheric Research ; Volume 275 , 2022 ; 01698095 (ISSN) ; Abolmaali, A. M ; Alizadeh, H ; Salavati, H ; Zokaei, H ; Zandavi, R ; Torbatian, S ; Yazgi, D ; Hosseini, V ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Many highly populated cities are still struggling to reach clean air targets, while the zero greenhouse gas emission objectives may accelerate the path toward healthy air for all. Still, there is a fine line between intensive electrification's impact on greenhouse gas emissions and criteria air contaminants depending on the source of the electricity. In this study, the previous version of the emission inventory for Tehran was evaluated and re-calculated in a detailed bottom-up approach to provide the most updated data on the contribution of stationary sources derived by power plants vs. mobile sources. The objectives were to update the emission inventory for improved policymaking, study the...