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Abstract This paper present the review of analytical and numerical study of flexural and shear performance of retrofitted or strengthening of beam by fibre reinforced polymer (FRP). Now a day investigator prefer numerical and analytical study to minimize error which can’t reduce in experimental study, hence numerical study is more reliable than experimental study and analytical study less time consuming then experimental still having good agreement with experimental study.Almost all the software available in market are work based on finite element method (FEM) such as ANSYS, ATENA 3D and ABAQUS. Analytical study carried out by different author using FEM basedsoftware they found ultimate capacity of beam increased noticeably.Analytical investigation of reinforced concrete (RC) beam with FRP were carried out by number of investigator they all studied on different aspect, some of those worked on single layer or double layer of FRP , some of those worked on different pattern and thickness of FRP and then compared stress, strain and deflection with control specimen. For precise result by finite element method use fine mashing and appropriate material property. Bond behaviour between steel-concrete and concrete-FRP sheets/plate must be specify for accurate and realistic results. Keywords: retrofitting of beam, strengthening of beam, GFRP, CFRP, Finite Element Method (FEM), ANSYS
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Data Collection I Available Data and Observation OVERVIEW The choice of a data collection approach should logically flow from the prior decisions about the research questions and measurement choices. Basically, the data collection decision depends on three factors. The first factor centers on what the researchers want to know. For example, do they want to know what people think or what they do'' If learning what people think is the goal, the researchers would choose a data collection approach that asks them. If the researchers want to know what people do, the approach to choose would be observation. The second factor is where the data reside. Perhaps other researchers have already collected the needed data. If so, then the task is to obtain those studies, reports, and/ or databases. Alternatively, if the data are in files stored in a basement, then the tasks are to access those files and gather the needed information systematically. If the data are in the physical or built environment. the researchers will need to get out of the office and observe. If people have the desired information, then the researchers will need to decide whether to use interviews, surveys, or focus groups. The third factor is the amount of resources available to collect the data. If suffi- cient money, staff, and time were available. then it would be possible, for example. to conduct face-to-face interviews with a large number of the people who have the desired information. If there is very little money, staff, or time, then interviewing ju~t a few people or conducting three focus groups might have to do. There are trade-offs in collecting data that ultimately affect the conclusions th:1t can be drawn. However, regardless of what data collection approach is selectee. researchers need to develop very clear, specific guidelines to ensure that data i' :<- curate. reliable, and unbiased. The data collection methods should be described : .. the final report, along with any problems encountered and any limitatiom that m:~·· · affect the conclusions. This phase of the research process requires attention to detaiL and ever: dcta1: ;.. > to be nailed down. The decision about the best data collection approach i ~ i nten'- ~ '- ::- \'. 'th the measurement strategy and sampling approach. It take~ timet,, n:::"e 'L:~:. 97 98 CHAPTER 7 the pieces align and requires flexibility because the initial plan may not work if the situation proves to have unexpected barriers. The next three chapters provide a toolkit for the most commonly used methods of data collection. This chapter discusses the larger issues of structured and semistructured data collection-that is, quantitative and qualitative data collection methods. It then turns to several commonly used data collection methods: using available data, collecting data from records and files, and observation. The purpose is provide some "how to" basics so that it is easier to identify the stre.
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Descriptive Method
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