DSpace Repository :: Browsing by Author "Magar, Rajendra"

Browsing by Author "Magar, Rajendra"

Now showing 1 - 20 of 44

Academic audit -Tool for quality enhancement in Teaching-Learning process in higher education institutes
(K.K.Wagh Institute of engineering education & research, 2019-06-08) Khan, Tabrez; Magar, Rajendra; Ansari, Zakir; Shaikh, Afzal
Academic audit is a methodical and scientific process of designing, implementing, monitoring and reviewing the quality in academic systems in higher education. The academic audit provides a strategic planning and its implementation for the teaching learning activity in the institute. In order to ensure quality and effective curriculum delivery, in teaching-learning, quality assurance system like Internal Academic Audit (IAA) system is very much essential. This paper aims to discuss the effective implementation of IAA in the technical campus situated in Panvel, Maharashtra. Academic Audit is done thrice during the term as Pre Term Audit- before the commencement of the term, Mid Term Audit- during the mid of the term and Post Term Audit- after the term end. Total thirty four numbers of input parameters are identified based on which academic audit is carried out. For every single parameter in the audit format, the course owner is evaluated for complete, partially complete and incomplete status of that parameter as per defined rubrics.The score of all the parameters is converted to a scale of 5 which would become the score of that course owner and would be used for appraising the concerned course owner.The reports of the Pre Term, Mid Term, and Post Term audit would be kept with the audit team and the necessary corrections would be conveyed to the respective course owners at the time of the audit. It was observed that after the introduction of the aforementioned process, the academic files of all the faculty members were found complete in all respects and quality of assignments, teaching learning and evaluation process was improved significantly.
Alternate and low cost construction materials and techniques
(AIKTC, 2018-02-08) Magar, Rajendra; Shaikh, Mohammed Aqeeb Jamil Ahmed (15CEM14)
This study addresses the issue of ever-escalating costs of housing projects by designing affordable, economic residential projects by using low-cost housing materials and adopting new designing techniques and using software likes ETABS and AUTOCAD. In this study, various building methodologies and alternative low-cost building materials are explored and compared with conventional methodologies and materials from the safety, economic, durability, aesthetic and functional point of view. Prefabricated components like precast RC planks, precast hollow concrete panels, precast concrete/ferro-cement panels and alternative building materials like fly –ash sand lime bricks, solid concrete and stone blocks, cellular concrete, laterite blocks, dry-hydrated lime, rice-husk ash pozzolona and hollow concrete blocks are employed. In this study to appraise alternative building materials and technologies for wall and roof construction. This study encompasses the use of sound construction techniques by employing ETABS and AUTOCAD as tools for planning and designing solutions for low cost housing. The Project highlights the benefits of low cost and sustainable building materials over conventional and steel buildings, its scope and application to residential buildings and technology envisaged for the same. The main findings of the study are that consider Rs.225/Sq. ft can be saved by using the techniques discussed above. This proves that using low cost housing technologies is a cost effective construction approach for the industry. Keywords— Low Cost Housing; Precast RC Planks; Precast Concrete; Fly-Ash Sand Lime Bricks; Cellular Concrete; Rice Husk Ash.
Analysis and design of prestressed I-Grider
(AIKTC, 2015-05) Magar, Rajendra; Bincy, Babu (11CE03); Bhat, Aravind (11CE12); Shaikh, Mohd. Tazir (11CE45); Siddique, Tanveer (11CE55)
Post-tensioned simply supported pre-stressed concrete (PC) I-girder bridges are widely used bridge system for short to medium span (20m to 50m) highway bridges, due to its moderate self -weight, structural efficiency, ease of fabrication, low maintenance etc. This study is on design and analysis of prestressed I- girder. Design constraints were decided using IRC 6:2010 for loading, IRC 18:2000 for minimum dimension requirement, IRC 21:2000 for concrete stresses. To formulate the entire problem for a couple of span under class A and class 70R loading, obtain shear force and bending moment at regular intervals along the beam. The software STAAD PRO is used for the analysis and design of prestressed concrete girders.
Application of earned value and weibull analysis on performance of residential projects
(AIKTC, 2019-03) Gavaskar, Pradnya (16CEM05); Magar, Rajendra
Construction project managers monitor and control the performance of project. The Earned Value Management (EVM) is a tool that integrates three critical elements of project management which includes scope management, cost management, time management. EVM concept is used to monitor and control the project performance by using cost and schedule performance indices(C/SPI). EVM is a technique which is traditionally used to forecast project cost and time at completion. However, the application of EVM has some limitations due to unrealistic nature in forecasting cost and schedule performance. Conventional EVM has inability to address the uncertainties as well as their causes and effects. This study describes the major aspects of Earned Value analysis with probabilistic approach of useful statistical technique Weibull Analysis to enhance the effective monitoring and controlling in project management for residential projects. From this study it is concluded that the applicability of Weibull analysis in consideration of EVM is suitable in area of construction engineering and management. For that case study of two residential projects is considered in this work. Results are interpreted by studying nature of Weibull shape and scale parameters of datasets and further by computation of performance probability and reliability. From this study it was found that the applicability of Weibull analysis for evaluating and comparing the cost and schedule performance in conjunction with Earned Value concept of two residential building projects using performance probability graphs which can help to find out issues like delays and labour management to improve schedule and cost performance of residential projects.
Application of multi criteria decision making to simulate uncertainties in construction projects
(AIKTC, 2018) Magar, Rajendra; Katrekar, Shweta (16CEM06)
Uncertainty certainly affects the performance of a construction project. It can be generalized as the difference between result and outcomes from usually expected values. The values can be considered to be time, quality and economy of the project depending upon the project needs. In construction project management, the effects of unidentified risks and uncertainties obstruct the project time, quality as well as its economy and upset the project management and thus its development. Identifying the uncertainty and quantitatively analysing the impact on the project performance can notably enhance the exactness, validity and reliability of a project plan. This study describes a methodology to systemize, model, and diminish uncertainty. In essence, Multi criteria decision making model is developed, which is useful for analysing uncertainties even with insufficient information or vague records. The study presents uncertainty assessment methodology based on multi criteria decision making, which is an effective integrated project management tool to deal with a subjective conclusion; that is used to configure a large number of uncertainties. It included a questionnaire survey; based on the data obtained, the probability of factors causing uncertainties were quantified using importance index and multi criteria decision making. The study is to suggest a decision support tool to quantify the probability of uncertainties in construction projects by using importance index incorporated with multi criteria decision making. Using this theory an uncertainty assessment model was suggested. The developed model can be utilized by the construction practitioners like contractors, consultants and clients while critical decision making.
Application of Principles of lean management in Construction Industry, A technique in the Indian construction industry
(International Journal of Recent Advances in Engineering & Technology (IJRAET), 2016) Pillai, Karuna; Shukla, Manojkumar; Magar, Rajendra
The construction industry has been severely vexed by several problems, and one of the major attributors being ‘the construction waste’. There is a severe need for identifying the sources of wastes and to improve the competence and to cut back on these wastes. For this Lean construction and its tools have been introduced as a new management principle for better implementation. These include reducing variability in production and production cycles. The tools that shall be used to achieve this include following a push-pull approach, use of multifunctional, multi skilled teams, and scrutiny of the following by just in time schedules. There are countless challenges in the implementation of lean concept in construction industry. The implementation of lean management in Indian construction industry is scarce. Due to lack of attention and illiteracy towards the lean management principles and application of its tools the owner, contractor, engineers etc. are still acquiring training to implement this principle in their projects. This project mainly focuses on to identify the possibilities of implementation of lean management in construction industry. It will be achieved by preparing the questionnaire and also conducting the interview with the project personals like top management, engineers and site supervisors etc., via cyber mass media. The questionnaires shall then be evaluated to adopt the best suited techniques through statistical methods. This paper focuses on the possibilities of effective utilization of lean management principles in construction industry, which can surely increase the quality of work and profit rate by eliminating the wastage of material.
Artificial Intelligent Techniques in Rainfall-Runoff Process
(5 International Conference on Water Resources and Arid Environments (ICWRAE 5), 2013-01-07) Magar, Rajendra
The use of rainfall-runoff (R-R) models in the decision making process of water resources planning and management has become increasingly indispensable. R-R modeling is still one of the most difficult issues in hydrological sciences due to the dynamic, uncertain and non-linear characteristics and relationship among the processes. In the broad sense R-R modeling has started at the end of 19th century and till today various types of models have been developed and applied based on their mechanism, input data and other modeling requirements. Fairly a large number of empirical, conceptual and physically based models having their own merits and demerits have been developed and applied to map the R-R relationship. In the real world, temporal variations in data do not exhibit simple regularities and thus R-R process is difficult to analyze and model accurately by conventional modeling approach. Hence R-R modeling approach has been shifted from process based technique to data-driven based Artificial Intelligent (AI) techniques like Artificial Neural Network (ANN), Adaptive Neuro Fuzzy Inference System (ANFIS), Genetic Programming (GP) and Model Tree (MT). The primary aim of this paper is to highlight the merits and demerits of those recent works on R-R modeling using AI techniques. As a value addition, a graphical user interface (GUI) has been developed as a decision support system.
Cost and schedule analysis of a structure using earn value management
(AIKTC, 2017-05) Magar, Rajendra; Shukla, Manojkumar
High rise residential projects suffer from cost оvеrrun and time оvеrrun due to multiple reasons. Еarnеd valuе managеmеnt tооl can act as control check to review project cost and schedule оf high rise project. Althоugh, ЕVM is оriginatеd frоm manufacturing and industrial еnginееring, it can be applied to construction sеctоr. ЕVM is nоt practicеd in many rеsidеntial prоjеcts duе tо lack оf understandings thе impоrtancе. Thе main оbjеctivе оf this project is tо apply ЕVM tо a high risе rеsidеntial prоjеct and idеntify budgеt оvеrruns and prоbablе schеdulе slippagеs in the prоjеct thrоugh thе paramеtеrs such as schеdulе variancе, cоst variancе, schеdulе pеrfоrmancе indеx, cоst pеrfоrmancе indеx. This rеsеarch shall prоvidе еarly indicatiоn оf pеrfоrmancе оf prоjеcts basеd оn thе schеdulе and cоst analysis and fоrеcasting fоr thе еstimatеd wоrk tо cоmplеtе in a rеsidеntial high risе prоjеct. Using this ЕVM tооl tо track a оngоing prоjеct is еxtrеmеly bеnеficial and givеs an immеdiatе fееl abоut thе pеrfоrmancе оf thе prоjеct. Thе еxpеctеd оutcоmе оf thе prоjеct will shоw thе diffеrеncе in schеdulеd pеrfоrmancе and actual pеrfоrmancе оf thе prоjеct fоr a particular phasе оf thе cоnstructiоn prоjеct. Basеd оn thе rеsults and оbsеrvatiоns arisе frоm ЕVM tооl, cоrrеctivе actiоn can bе suggеstеd tо rеvivе thе prоfitability оf thе high risе residential project. In this report, study of ongoing construction project of Mahindra Aura is done. Calculation of construction data cost wise as well as month and activity wise plan value, Actual cost and Earned value for the project. From the study I come to a conclusion majority of construction projects are delayed due to time overrun and cost overrun. From the project parameters it is found that, the ongoing project is behind the schedule as well as over budget. Original completion time for the project is 31 months but project will take 3 months more for final completion work also the estimated cost increased from 27 crores that was planned to 27.83crore. Using this ЕVM tооl tо track a оngоing prоjеct is extremely beneficial and gives an immediate fееl about thе pеrfоrmancе of thе prоjеct.
Decision making for selection of optimum machinery in mega construction projects using artificial intelligence techniques
(AIKTC, 2016-05) Magar, Rajendra; Khan, Sakib Mohd. Dastagir (14CEM06)
Selection of machineries in construction projects is a central element in the planning phase of the life cycle of the project. Appropriately selected machineries are the lifeblood of any multistoried construction project and contribute largely to the efficient, timeliness, and profitability of the project. An error in selection can lead to large and unnecessary expenses arising from operational inadequacy or failure, and can produce an unsafe working environment which leads to undesirable expenses. It is assured that optimum selection of machineries lower the risk and costs associated with it.
Design and cost economic analysis of self compacting concrete for mivan shuttering
(International Journal of Engineering Development and Research, 2016) Syed, Mehdi Abbas (14CEM16); Magar, Rajendra; Patil, Dada S.
This paper summarizes the experimental work performed to design a self-compacting concrete for Mivan shuttering and cost analysis of cost of the designed per m3 mineral and chemical admixtures. Workability tests such as Flow table test, V funnel test and U box tests were conducted. Compressive Strength test was performed out on hardened 150mm concrete cubes after 3, 7, & 28 days curing in water. The output of the research work was a highly workable concrete which could be used for densely reinforced sections of Mivan shuttering.
Design of new green building using IGBC rating system
(AIKTC, 2017-08) Magar, Rajendra; Srivastava, Ashish Suresh (15CEM17)
Earn Value Management a Boon to Indian Construction Industry
(Tech-Chronicle, 2016-09) Magar, Rajendra; Shukla, Manojkumar
Earned Value Management (EVM) is a systematic approach to the integration and measurement of cost, schedule, and technical (scope) accomplishments on a project or task. It provides both the government and contractors the ability to examine detailed schedule information, critical program and technical milestones, and cost data. .EVM technique can do forecasting of duration for a project .It gives a well-defined pathway of existence to the project and when to take precautionary measures for updating the project if project is behind the schedule. It can be used to identify the cost overruns and time overruns. EVM technique can be applied using certain software's like MSP, Primavera, etc.
Effect of colloidal nano silica (CNS) on high strength risk husk ash concrete
(AIKTC, 2016-05) Magar, Rajendra; Gupta, Vinay (12CE19); Gupta, Vipin (12CE20); Khan, Abdul (12CE26); Sayed, Khalil (13CE68)
Now a day mineral admixtures are use as replacement for cement in concrete because it reduces CO2 emission during hydration of cement. These mineral admixtures reacts with calcium hydroxide forms during cement hydration and this is called as pozzolanic action. The pozzolanic action of mineral admixture like Rice Husk Ash (RHA) would come into play at later stages. The Colloidal Nano Silica (CNS) which is nano material use in cement for accelerating pozzolanic action. In the present study, the mineral admixture RHA was used as 5, 10,15% replacement for OPC in M60 grade of concrete. The 10% RHA was taken as optimum dose on the basis of workability and compressive strength. To this 10% RHA concrete, effect of 1, 2, 4, 6% CNS addition were study by workability, compressive strength and split tensile strength. The workability decreases as CNS doses increases in 10% RHA replacement mix. The compressive strength of 2% CNS addition in 10% RHA replacement mix was increased by 8.44%, 9.5%, 13.21% at 3, 7, 28 days with respect to 10% RHA replacement mix without CNS. The split tensile strength of 2% CNS addition in 10% RHA replacement mix was decreased by 8.13%, 8.06%, 1.93% at 3, 7, 28 days with respect to 10% RHA replacement mix without CNS.
Effect of Colloidal Nanosilica on High Strength Rice Husk
(Journals Pub, 2017-01) Magar, Rajendra; Khan, Afroz; Gupta, Vipin (16DME138); Gupta, Vinay; Sayyed, Firoz Khalil (16DCES83)
Nowadays, supplementary cementitious materials (SCMs) are used in concrete because it reduces CO2 emission during. The husks, which are production of cement, reduces cement contents, improve workability, increase strength and enhance durability. Pozzolanic reaction takes place when siliceous or aluminous material comes in contact with calcium hydroxide in the presence of moisture to form compounds possessing cementitious properties approximately 50 percent cellulose, 30 percent lignin and 20 percent silica, are incinerated by controlled combustion leaving behind an ash that predominantly consists of amorphous silica. Rice husk ash is highly pozzolanic due to its extremely high surface area (50,000 to 100,000 m2/kg). The colloidal nano silica (CNS) which is nano material and behaved not only as a filler to improve cement micro-structure (porosity decrease), but also as a promoter of pozzolanic reaction used in cement for accelerating pozzolanic action due to which the cement sets faster than conventional mix. In the present study, the mineral admixture, rice husk ash (RHA) was used as 5, 10, 15% replacement for OPC in M60 grade of concrete. The 10% RHA was taken as optimum dose on the basis of workability and compressive strength. To this 10% RHA concrete, effect of 1, 2, 4, and 6% CNS addition were experimentally studied with various properties like workability, compressive strength and split tensile strength.
Estimation of Discharge Using LS-SVM and Model Trees
(Journal of Water Resources and Ocean Science, 2016-11) Magar, Rajendra
In planning and management of any water resource systems prediction or estimation of runoff over the catchment is considered as a crucial factor. Many researchers over the past two decades addressed these problems by traditional methods as well as with some new techniques. This paper is describable and is focused on the capability of some data driven techniques such as Least Square Support Vector Machines (LS-SVM) and Model Trees with M5 algorithm. These methods were used to estimate runoff of various stations in the catchment area in Upper Krishna basin, Maharashtra State, India, and discussed here two stations namely Shigaon and Gudhe. The specialty of these catchment areas is Shigaon has large area and Gudhe has small area. This was done to see the model performance in both conditions. Additionally metrological data was used in the process to see the performance of models. The quantitative analysis was carried out to check the performance of the accuracy by considering standard statistical performance evaluation metrics and the scatter plots are drawn for evaluating qualitative performances of the developed models. The effect of the various metrological parameters as an input parameter for the rainfall was also investigated.The performance of both the tools was judged with various performance measures and it is found that the results are quite encouraging. LS-SVM models performed better since it has captured all the higher peak discharges for both catchments, indicating LS-SVM is best suited for large sized catchments and MT tool is best suited for the smaller sized catchments. However LS-SVM performance is better as compared to MT as modeling approaches are examined, using the long-term observations of yearly river flow discharges.
Estimation of some meteorological parameters using hard and soft computing tools
(International Journal of Recent Advances in Engineering & Technology (IJRAET), 2016) Magar, Rajendra
Study of meteorological parameters is essential in deciding the effect on each other while finding out the best possible solution and the estimations for hydrological and meteorological parameters. The study involves in correlating all the measured parameters at Shivade catchment area of Narmada basin. The correlation on the observed parameters is carried out to perform overall sensitivity analysis. Out of al metrological parameters two of them are analyzed in this paper namely Dry bulb temperature and wet bulb temperature. The Dry Bulb and Wet Bulb Temperatures are important to determine the state of humid air. The knowledge of only two of these values is enough to determine the state including the content of water vapour and the sensible and latent energy. The meteorological parameters have been estimated using Multiple linear regression and artificial neural network (ANN). The meteorological parameters collected from Shivade catchment area. The data extended over a period from January 2002 to December2010 including only the monsoon months. Amongst the two methods, the ANN model exhibited better estimation values of the meteorological parameters.
Evaluation of worker performance in construction project using six-sigma
(AIKTC, 2019-03) Magar, Rajendra; Tanwar, Saif M. Shakeel (16CEM16)
The main objective of this work is to evaluate worker performance index for improving construction productivity and provide practical solutions for construction performance improvement by applying the six-sigma technique. Construction productivity and performance improvement are vital focus areas in construction industry. Many researchers have experimented various measures such as lean principles, just in time, pull scheduling, last planner system etc. to improving project performance. However, it is being observed that construction industry has witnessed a considerable decline in productivity in terms of both labour and management issues. Based on site observation, questionnaire survey, interviews and examining existing worker performance system, the scenario for worker performance was analyzed. The finding shows that the management and supervisors play key roles in improvement of worker performance. Worker performance index (WPI) is used to evaluate the worker performance quantitatively for various purposes like assistance to managers in planning, supervisor’s assessment and designing incentive scheme for rewarding best worker of any construction organization. Thus, with an improved worker productivity, overall performance of the construction project is envisaged. Further, six-sigma technique is used to validate and improve the construction performance and worker performance during construction execution phase. Managers and supervisors need to follow the management aspects, which is been recommended after the analyses done to improve the worker performance and productivity of construction projects. Thus, in this work, on basis of sigma level obtained, it can be concluded that WPI model proves to be successful for selecting a suitable worker according to their skills for desired work or a construction project with minimum defects with respect to their performance.
Experimental investigation and prediction of compresive strength of concrete using soft computing techniques with different additives
(AIKTC, 2015-05) Magar, Rajendra; Ansari, Shahbaz (11CE07); Khan, Afroz (11CE22); Khan, Mohd Haroon Mohd Nafis (11CE24); Khan, Rahil Lodhi Hashmatullah (11CE26)
High Performance Concrete (HPC) is the latest development in concrete, But HPC not only demands High cement consumption, which pushes the natural resources towards depletion, but also increases C02 emission on a higher extent. In the recent year’s use of Supplementary Cementitious Materials (SCMs) is increased due to environment concerns, conservation of resource & economy because most of them are generally Industrial waste products such as fly ash, GGBS & micro silica. One of the costliest constituent of HPC is ultrafine material such as micro silica, alccofine. In recent years with the advancement in technology ultrafine fly ash is now being produced which is cheaper ultrafine material but, with less literature available on it. In available literature on Ternary blend concrete the level of replacement was restricted up to 30%-35%. In this Experimental Investigation an attempt was made to investigate compressive strength (100MPa) of concrete by replacing Cement on 40%, 45%, 50%, by incorporating P100 fly ash as an ultrafine material and GGBS. Each replacement was further divided into three sub parts (40%F.A-60%GGBS), (45%F.A- 55%GGBS), (50%F.A-50%GGBS). Among which 40% replacement of cement (50%F.a- 50%GGBS) gave maximum strength. Nominal mix was prepared with only OPC with w/c of 0.24.and all other ternary mixes was made on w/c of 0.2 to have an edge when compared with strength of nominal mix. Nowadays, soft computing techniques are used to predict the properties of concrete and hence reduce the experimental work. Thus, a neural network also known as a parallel distributed processing network, is used as computing paradigm that is loosely modeled after structures of the brain. It consists of interconnected processing elements called nodes or neurons that work together to produce an output function. This experimental investigation presents the application of Multiple Linear Regression (MLR) and Artificial Neural Network (ANN) techniques for developing the model to predict the compressive strength of the concrete with SCMs. For this purpose, a systematic laboratory investigation was carried out. The compressive strength was evaluated on various mixes for 3 days, 7days, 14 days and 28 days of curing period. The data generated in the lab was used for development of the MLR and ANN model. The data used in the models are arranged in the format of four input parameters that cover the contents of OPC, FA, GGBS and w/c ratio respectively and one dependent variable as compressive strength of concrete for both MLR and ANN. Networks are trained and tested for various combinations input and output data sets. Keywords: High Performance Concrete (HPC), Supplementary Cementitious Materials (SCMs), Fly Ash (FA), Ground Granulated Blast Furnace Slag (GGBS), Artificial Neural Network (ANN), Multi Linear Regression (MLR).
Experimental Investigation and Prediction of Compressive Strength of HPC with SCMs
(Journal of Advance Research Construction and Urban Architecture, 2017) Magar, Rajendra; Khan, Afroz Rahat Naeem; Khan, Rahil; Ansari, Shahbaz; Khan, Haroon
Due to environmental concern, the use of supplementary cementitious materials (SCMs) is increasing at a high rate in construction industry. In this study, an experimental investigation has been carried out to assess the compressive strength of high performance ternary mix concrete with judicious replacement of cement with (SCMs), which include industrial waste products such as fly ash (FA), ground granulated blast furnace slag (GGBS) and micro silica. Replacement of cement was done up to 40%, 45%, 50%, by incorporating P100 fly ash as an ultrafine material with GGBS as SCMs. Each replacement was further divided into three sub parts (40%F. A-60%GGBS), (45%F.A-55%GGBS) and (50%FA-50%GGBS). Experimental results showed that Mix T3 (60%Cement-20%F.A-20%GGBS) produced maximum strength of 89.4 MPa and 100 MPa at 14 days’ and 28 days’ curing respectively. Experimentally generated data in the laboratory was used for the development of the multiple linear regression models. Keywords: Cement; P100 fly ash; FA; GGBS; HPC; Compressive Strength
Experimental investigation and prediction of fly ash efficiency factor in concrete with cost economic analysis
(AIKTC, 2017-08) Magar, Rajendra; Khan, Afroz Naeem (15CEM07)

Browsing by Author "Magar, Rajendra"

Results Per Page

Sort Options