Retrofitting of concrete member subjected to fire
This paper presents an experimental investigation for evaluating the effects of fire exposure on the properties of structural elements retrofitted by fiber-reinforced polymers (FRPs). Mechanical properties of FRP-strengthened reinforced concrete (RC) members, protected with secondary insulation, were investigated, before and after (residual) direct fire exposure. Direct fire contact resulted in a reduction in the capacity of 9% to 20% for FRP-strengthened RC beams and 15% to 34% for FRP-strengthened RC columns. Furthermore, a similitude analysis was developed for a heat transfer relationship between full-scale and small-scale specimens, allowing a one-fourth exposure time reduction for the latter. Results from the experimental investigations demonstrated the benefits of employing secondary fire protection to FRP-strengthened structures, despite the glass transition temperature being exceeded in the early stages of the elevated-temperature exposure. Therefore, it is suggested that fire protection is necessary for an FRP-strengthened structure to retain integrity throughout the duration of the fire exposure and on return to ambient temperature. Retrofitting RC structures with adequate fire resistance by contributing to the missing information for fire protection requirements not available in codes of p. Apart from the test data, relations defining the variation of strength and elastic modulus of CFRP and GFRP with temperature are available in the literature. These relations are proposed by [8][9][10][11]33,35,39,40]; for FRP. The majority of these relations define the temperature-dependent variation in strength properties of CFRP, while relatively few relations define the variation in strength properties of GFRP. Additionally, most of these relations are in form of semi-empirical equations and express the variation of strength and stiffness of FRP up to 800 � C, whereas some relations are in the form of reduction factors providing percentage degradation in ambient temperature strength and stiffness of FRP at different temperature level. Saafi [40] proposed linear/bilinear relations for expressing degradation of strength and stiffness of GFRP and BFRP at elevated temperatures. These relations are based on the tests carried out on GFRP and BFRP rebars reported by Blontrock et al.
Published by: Sipendra Kumar Goit, Sanjeevkiran M., Sangmeshwar, Shivaraj R., Dr. V. Ramesh
Author: Sipendra Kumar Goit
Paper ID: V6I3-1507
Paper Status: published
Published: June 15, 2020
Investigation into some of the engineering properties of soil in Damot Gale district
Investigation of the sub-surface condition is used for the effective design of the structural elements. It is also very crucial to obtain information on the type, characteristics, and distributions of soil and rock underlying a site for proposed structures. I investigate some of the engineering properties of soils collecting 20 disturbed and 10 undisturbed soil samples from 10 different test pits at the average depth of 1.5m to 3m and laboratory tests conducted. The natural moisture content of soil ranges from 24% - 44.47% and bulk unit weight range from 16.4 to 19.7 kN/m3. The specific gravity of soil varies from 2.57 to 2.84 and the particle size analysis showed that the dominant proportions of soils in the study area are the clay. Consistency limit test results in the research area showed the liquid limit ranges from 46 to 73%, plastic limit ranging from 13 to 38%, and plasticity index ranging from 13 to 38 %. The unconfined compressive strength of the soils in the study area ranges from 80 -215kN/m2 and undrained shear strength range from 40 – 107.5 kN/m2. Finally, a one-dimensional consolidation test was done.
Published by: Tsegaye Matalo
Author: Tsegaye Matalo
Paper ID: V6I3-1345
Paper Status: published
Published: June 15, 2020
Impact assessment of land use land cover change on sediment yield using SWAT Model
Quantifying the impacts of land use change and land cover practices on the hydrological response of a watershed has been an area of interest for the hydrologists in recent years as this information could serve as a basis for developing sound watershed management interventions. This thesis aims at evaluating the effects of land use land cover change on sediment yield using SWAT model simulation in Gadarwara watershed located in Narmada Basin. The degree and type of land cover influences the rate of infiltration, runoff and total sediment loads transported from a watershed. It often results in significant degradation of land resources such as loss of soil by erosion, nutrient leaching and organic matter depletion. However very few studies in India, have used the physically based hydrological models along with the land use land cover change conditions. Hence in this current work SWAT model has been used to assess the impact of land use land cover changes on monthly sediment of Narmada River Basin. The SWAT model has been calibrated and validated against the monthly streamflow for the gauging station of Gadarwara, situated along the Shakkar River. The results depict that SWAT model usually performs well in simulating runoff according to Nash-Sutcliffe efficiency (NSE), Coefficient of determination (R2) and Percentage bias (PBIAS) values. For stream flow the NSE, R2 and PBIAS values were 0.86, 0.89, 12.2 during calibration period and 0.83, 0.87 and 14.5 during validation period respectively. For sediment the efficiency decreased due to less availability of data and the NSE, R2 and PBIAS values were 0.66, 0.68 and -10.9 during calibration period and 0.65, 0.67 and -5 during validation period respectively. The results of the study indicated that increase in forested areas result in decreasing sediment yield Agriculture land contributes mainly in sediment yield hence reduction in agriculture land leads in reduction of sediment yield and increase in agriculture land results in increase of sediment yield.
Published by: Dhananjaya Singh Chauhan, A. K. Thawait
Author: Dhananjaya Singh Chauhan
Paper ID: V6I3-1514
Paper Status: published
Published: June 15, 2020
Wireless power transmission system using microwaves
It has become an important undeniable fact that power transmission is optimum and losses are decreased, and thus it is necessary to search out new ways in which for power transmission which may be helpful to the industry, hence the need to use wireless systems is vital The transfer of power from the source to the receiver is a technology that has existed for over a century. Wireless power transfer (WPT) has been created possible in recent years thanks to advances in technology and higher implementations of transfer techniques, like Microwave Power Transfer (MPT). The MPT system works by converting power to microwaves through a microwave generator and then transmitted that power through free space wherever it is received and born-again back to power at a special device referred to as rectenna. The applications of MPT are numerous, not solely to alter the approach existing technologies work, however additionally as historical constructs for future constructs. Whereas the advantages are nice, there squared several measured limitations and drawn sides of MPT, necessitating the discussion of attainable strategies WPT. The transfer of power wirelessly has the potential to fully disrupt and revolutionize existing and future technologies.
Published by: Shashank Mohanty, Deepak Kumar
Author: Shashank Mohanty
Paper ID: V6I3-1494
Paper Status: published
Published: June 15, 2020
Face Recognition Attendance System
The Real-time Attendance Maintaining System is difficult process if it is done manually. It is an important requirement in the modern era to improve the working efficiency of the entire private and public sector. There are many smart and automated forms of biometrics to monitor the movement of students or employees such as fingerprint, palm scanning, iris,voice recognition etc. Face Recognition is one of them. By using this system, the issue of fake attendance and proxies can be solved. This paper suggests a robust procedure for monitoring attendees using facial recognition. The method proposed here for real-time character identification involves a facial recognition technique using Haar-like features with a Cascade classifier. For the purpose of face recognition histogram of local binary patterns (LBPH) are used. The major steps in the proposed system are capturing the images of the students, storing the captured images in the database, detecting the faces and recognizing them. The comparison is done by crosschecking the detected face with the database of student’s faces. This smart system will be effective way to maintain the attendance and records of students.
Published by: Jeevika P. Hundekar, Pallavi S., Kavya P., Hemalatha M.
Author: Jeevika P. Hundekar
Paper ID: V6I3-1524
Paper Status: published
Published: June 15, 2020
E-assessment using image processing in infinity exam
This paper features a software system called ∞Exam (Infinity Exam) which supports (primarily in higher education) paper-based examination and makes it easier, more comfortable, and speed up the whole process while making keeping every single positive attribute of it but also reducing the number of negative aspects. The approach significantly differs from the ones used in the previous 10+ years which were implemented in such a way that they could not reproduce and replace the traditional based paper examination model. The heart of the article relies on the most important element of the software which is the image processing flow. The way of conducting testing the knowledge of a person using Multiple Choice Questions (MCQ) has been increased gradually. In education industries (like schools and colleges) it is more common now days having tests using multiple-choice questions. Even in conducting interviews, it is used. The current day scenario is either using OMR technology to correct the test or manually. In real-time, it is quite difficult to have OMR at all the time and manually it is highly taking the time to correct and it may give you the error. We address this issue, in our proposed system we using digital image processing technique to correct the answer using multiple choice questions in python. We are here using the Open Source Computer Vision Library (Open CV) to process and correct the answer. Python is the best language to implement this concept with the available Open CV library. In this system, we also implement it in the Django environment.
Published by: Supriya N. Kulmethe, Hirendra Hajare
Author: Supriya N. Kulmethe
Paper ID: V6I3-1518
Paper Status: published
Published: June 15, 2020
