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Computations of Compressible Two-Phase Flow Models

Thesis Info

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External Link

Author

Munshoor Ahmed

Program

PhD

Institute

COMSATS University Islamabad

City

Islamabad

Province

Islamabad.

Country

Pakistan

Thesis Completing Year

2012

Thesis Completion Status

Completed

Subject

Mathemaics

Language

English

Link

http://prr.hec.gov.pk/jspui/handle/123456789/1929

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676725779391

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Computations of Compressible Two-Phase Flow Models Two-phase flow is generally understood as being a simultaneous flow of two different im- miscible phases separated by an infinitesimal thin interface. Phases are identified as ho- mogeneous parts of the fluid for which unique local state and transport properties can be defined. In most cases, phases are simply referred to as the state of matter, e.g. gas/vapor, liquid, or solid. Typical examples are the flow of liquid carrying vapor or gas bubbles, or the flow of gas carrying liquid droplets or solid particles. However, more complex flow pro- cesses may exist where the phase distribution is less well defined. This work is concerned with the numerical approximation of homogenized two-phase flow models. The models are obtained by averaging the balance laws for single phases and are non-strictly hyperbolic and non-conservative, i.e. they are not expressible in divergence form. The seven-equation two-phase models are regarded as well-established and can be applied to study various two- phase flow phenomena. However, physical and numerical difficulties are associated with these models. In most situations, the general physics of the models is not needed, thus, more compact models may be enough. For that reason, the reduced five- and six-equation models, deduced from the seven-equation models, are investigated in this dissertation. The five-equation model is obtained under the asymptotic limit of stiff velocity and pressure re- laxations, while the six-equation model assumes stiff velocity relaxation only. Our primary objective is to develop a deeper understanding of these models containing non-conservative derivatives and to numerically approximate them. The high order kinetic flux-vector split- ting (KFVS) scheme, the space-time conservation element and solution element (CESE) method, the high resolution central schemes, and the HLLC-type Riemann solvers are ap- plied to solve these models. Several test problems are carried out for all considered models and the numerical results of suggested schemes are compared with each other and with those available in the literature.
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سیدعلی جواد زیدی

علی جواد زیدی کی رحلت
افسوس ہے کہ ۶؍ سمبر ۲۰۰۴؁ء کو جناب سید علی جواد زیدی لکھنو میں رحلت فرماگئے، ان کی وفات علمی و ادبی دنیا کا سخت حادثہ ہے، ان سے راقم کا ذاتی تعلق تھا اور وہ دارالمصنفین کے بڑے قدرداں اور اس کے نہایت مخلص خیر خواہ تھے، مرحوم تقریباً نوے برس کے ہوگئے تھے، عرصے سے بیمار تھے، کئی بار قلبی دورہ بھی پڑ چکا تھا لیکن اس پیری اور بیماری میں بھی ان کے ولولے اور حوصلے جوانوں کی طرح بلند تھے، کتنے ارمان اور کیسے کیسے علمی و ادبی منصوبے ان کے ذہن میں پرورش پاتے رہتے تھے، جب بھی ملاقات ہوتی تو ان کا ذکر دلچسپی سے کرتے تھے، اب شمع علمی کے ایسے پروانے، تلاش، تحقیق اور جستجو کے دیوانے اور شعر و ادب کے متوالے، فضل و کمال کی تحصیل میں سرگرداں اور تحریر و تقریر میں کامل الفن کہاں ملیں گے جن کو اردو، فارسی، عربی، انگریزی اور ہندی پر عبور اور سنسکرت سے واقفیت ہو اور وہ ملک کی گنگا جمنی تہذیب کا دلکش نمونہ، قوم وطن کی محبت میں سرشار اور اپنی مذہبی و اخلاقی قدروں کے پاسباں ہوں، دراصل وہ سانچا ہی ٹوٹ گیا جس میں علی جواد جیسے ذہین و طباع، صائب الراے، معاملہ فہم، عظمت و شرافت کے حامل، مہر و محبت کے پتلے، حلم و مروت کے پیکر اور وضع داری رکھ رکھاؤ اور انکسار کے مجسمے ڈھلا کرتے تھے۔
پیدا کہاں ہیں ایسے پراگندہ طبع لوگ
افسوس تم کو میر سے صحبت نہیں رہی
علی جواد زیدی شاعر، ادیب، محقق، نقاد، خاکہ نگار، صحافی، عالم، دانشور، سیاست داں، مجاہد آزادی، فرض شناس اور ایمان دار افسر اور مختلف علوم و فنون میں دست گاہ رکھتے تھے، فلسفہ، تاریخ، اقتصادیات، سماجیات، لسانیات، ادبیات اور اسلامیات ہر میدان ان...

Challenges of Translating the Arabic Qur’an into English A Comparative Study of Eight Leading Translations

Any translation of the Arabic Qur’an in English or any European language is likely to be imperfect. This is primarily due to the differences in the language, semantics, idiom, style and culture. Almost fifty such translations have appeared in the last fifty years, both by Muslim and other scholars, but none can claim any perfection in imaging the Arabic Qur’an. Nevertheless, there are some that are faithful to word-by-word (literal) or sense-for-sense (free) translation, but most lack the flavor of the Qur’anic essence and image either due to the translating approach, or inadequate understanding of the meaning of Sacred Arabic Text, or constraints of eloquence of the English language. This paper examines eight of the leading translations and draws conclusions relating to the use of translation techniques and literary devices and concepts that add beauty to the eloquence of Arabic Qur’an and makes it a living and literary masterpiece. It is found that the meaning of the lexical expressions have been maintained to a high degree in the process of translation and the use of literary devices has been adequately captured by the selected translations.

View-Based Biometrics

Biometric recognition systems are considered to be one of the most secured means of authentication. In this context several biometrics have been proposed but the view based biometrics such as face, iris etc remain the most natural choice. In the paradigm of face recognition, it is generally assumed that major information contents lie in the lower frequency region of an image and therefore little effort has been made in sys tematic exploration of the detail images. Although some wrapper-based approaches have been proposed in the literature, they are primarily based on experimental eval uation of a specific classifier on various subbands. Therefore there is a dire need of a framework for automatic selection of the most significant subbands based on the underlying statistics of the data. In this thesis, the problem of identifying the most dis criminant subbands based on information theoretic measures is addressed. Essentially the face images are transformed into textures using the linear binary pattern (LBP) ap proach, these texturized-faces undergo the wavelet packet decomposition resulting in several subband images. We propose to use the energy features to effectively represent these subband images. The underlying statistical patterns of the data are harnessed in form of information-theoretic metrics to select the most discriminant subbands. The proposed algorithms are extensively evaluated on several standard databases and are shown to always pick the most significant subbands resulting in better performance. The proposed algorithms are entirely generic and do not depend on the validation re sults for specific classifiers. Noting that localized features are often more useful than theholisticapproaches, wehavealsotargetedtheproblemofirisrecognitionproposing the concept of class-specific dictionaries. Essentially, the query image is represented as a linear combination of training images from each class. The well-conditioned inverse problem is solved using least squares regression and the decision is ruled in favor of the class with the most precise estimation. An enhanced modular approach is further proposed to counter noise due to imperfect segmentation of the iris region. As such iris images are partitioned and individual decisions of all sectors are fused using an efficient fusion algorithm. The proposed algorithm is compared to the state-of-the-art Sparse Representation Classification (SRC) with Bayesian fusion for multiple sectors. The proposed approach has shown to comprehensively outperform the SRC algorithm on standard databases. Complexity analysis of the proposed algorithm shows decisive superiority of the proposed approach.