In this paper, recommended spiral passive micromixer was designed and simulated. spiral design has the potential to create and strengthen the centrifugal force and the secondary flow. A series of simulations were carried out to evaluate the effects of channel width, channel depth, the gap between loops, and flowrate on the micromixer performance. These features impact the contact area of the two fluids and ultimately lead to an increment in the quality of the mixture. In this study, for the flow rate of 25 μl/min and molecular diffusion coefficient of 1×10-10 m2/s, mixing efficiency of more than 90% is achieved after 30 (approximately one-third of the total channel length). Finally, the optimized design fabricated using proposed 3D printing method.

یکی از مسائل مهمی که در طراحی سدهای خاکی به آن توجه می شود مساله تراوش است. بطور کلی همه خاک ها کم و بیش آب را از خود عبور می دهند و نفوذ پذیرند بدین لحاظ در اکثر موارد جریان آب به داخل سدهای خاکی و پی آنها اجتناب ناپذیر است. چنانچه جریان آب در سدهای مذکور کنترل و محدود نگردد سبب بروز مشکلات و اثرات نامطلوبی می شود که بعضا تخریب و شکست سد را به دنبال خواهد داشت. در این تحقیق به بررسی جامع مدل سازی عددی تراوش دو بعدی پرداخته شده است. بعد از این به معرفی سد مورد مطالعه تحقیق پرداخته شده است و سد آبشینه همدان مورد بررسی کامل قرار گرفته است. سپس با استفاده از روش اجزای محدود، تحلیل تراوش دو بعدی و سه بعدی، در مورد این سد، انجام گرفته و نتایج آن با نتایج حاصل از تحلیل های دو بعدی مقایسه میشود، پس از این مرحله آنالیز حساسیت صورت پذیرفته و با انجام آنالیزهای دوبعدی و سه بعدی مختلف، تاثیر پارامترهای مختلف بر مقدار تراوش مورد بحث قرار گرفته است، درانتها راهکارهای مناسب جهت مقابله با این پدیده در مورد سد آبشینه همدان پیشنهاد گردیده است.با توجه به این که هندسه مسائلی از این قبیل، میتواند بسیار متغییر باشد، و از آنجائیکه ساخت مدل سه بعدی کار بسیار حجیم و زمانبری میباشد، لذا در این تحقیق فقط از مشخصات و پارامترهای یک سد خاص (به صورت مطالعه موردی) استفاده شده است.تمام تحلیل های انجام گرفته در این پایان نامه Isothermal بوده و همچنین از اثرات اندرکنشی حرارتی و تنش- تغییر شکل بر روی تراوش صرف نظر شده است.

In this research, in order to investigate the effect of the piezoelectric patch which is used as a sensor or actuator in rotating flexible structures such as a helicopter blade, the free vibrations of the rotating rectangular sheet with and without the piezoelectric patch have been presented. First-order shear deformation theory is considered for plate displacement and piezoelectric field. Considering the effect of Coriolis acceleration, centrifugal acceleration and centrifugal in-plane forces, the equations of motion are derived from Hamilton's principle and the electromechanical couple equation is obtained from Maxwell's equation. For piezoelectric, two electrical conditions, open circuit and closed circuit, which are used in sensors and actuators, respectively, have been considered. The equations are discretized with the help of the numerical method of generalized differential squares and the matrices of inertia mass, eccentricity, Coriolis and stiffness matrix are obtained. Natural frequency values for beam and rotating plate have been compared in Abaqus software. Also, the values obtained from the numerical solution in MATLAB have been verified with articles and ABAQUS, which have high accuracy. The effect of parameters such as hub radius, rotation speed, sheet thickness, aspect ratio, piezoelectric patch thickness and applied voltage on the natural frequency of the system has also been investigated.

Plastic hinge properties play a crucial role in predicting the nonlinear response of structural elements. The plastic hinge region of reinforced concrete normal beams has been previously studied experimentally and analytically. The main objective of this research is to evaluate the behavior of the plastic hinge region of reinforced concrete deep beams and its comparison with normal beams through finite element simulation. To do so, ten beams contain six deep beams, and four normal beams, under concentrated and uniformly distributed loading, are investigated. Lengths in the plastic hinge region involving curvature localization, rebar yielding, and concrete crushing zones are studied. The results indicate that the curvature localization zone is not suitable for the prediction of plastic hinge length in reinforced concrete deep beams. Based on the results it can be stated that in simply supported normal beams the concrete crushing zone is focused on the middle span, but in simply supported deep beams by creating a compression strut between loading place and support, the concrete crushing zone spreads along the compression trajectory. The rebar yielding zone of simply supported beams increases as the loading type is changed from the concentrated load at the middle to the uniformly distributed load.

Automatic topic detection seems unavoidable in social media analysis due to big text data which their users generate. Clustering-based methods are one of the most important and up-to-date categories in topic detection. The goal of this research is to have a wide study on this category. Therefore, this paper aims to study the main components of clustering-based-topic-detection, which are embedding methods, distance metrics, and clustering algorithms. Transfer learning and consequently pretrained language models and word embeddings have been considered in recent years. Regarding the importance of embedding methods, the efficiency of five new embedding methods, from earlier to recent ones, are compared in this paper. To conduct our study, two commonly used distance metrics, in addition to five important clustering algorithms in the field of topic detection, are implemented by the authors. As COVID-19 has turned into a hot trending topic on social networks in recent years, a dataset including one-month tweets collected with COVID-19-related hashtags is used for this study. More than 7500 experiments are performed to determine tunable parameters. Then all combinations of embedding methods, distance metrics and clustering algorithms (50 combinations) are evaluated using Silhouette metric. Results show that T5 strongly outperforms other embedding methods, cosine distance is weakly better than other distance metrics, and DBSCAN is superior to other clustering algorithms.