Volume-3 (Second International Conference on Emerging Trends in Engineering' 2013)
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Paper Type | : | Research Paper |
Title | : | Cascade and Feed Forward Back propagation Artificial Neural Network Models for Prediction of Compressive Strength of Ready Mix Concrete |
Country | : | India |
Authors | : | Dheeraj S. Badde1, Anil k. Gupta2, Vinayak K. Patki |
Abstract: In this research work, comparative study for prediction for 28-days compressive strength of Ready Mix Concrete(RMC) have been carried out using Feed forward back propagation and Cascade forward back propagation algorithms. The study was conducted by varying the number of neuron in the hidden layer using tansigmoidal transfer function. Various models have been developed for different input scenarios, non-dimensional ratios were used for modelling and the ratios such that their changes resulted in corresponding changes in the output. The compressive strength was modelled as a function of five variables: water/cement, fine aggregate/course aggregate, fly ash/cement, admixture/water, and water/total density. The effects of each parameter on networks were studied for Feed forward back propagation algorithm and Cascade forward back propagation algorithm of Artificial Neural Network (ANN). The Cascade forward back propagation algorithm of Artificial Neural Network (ANN) models performed better than Feed forward back propagation algorithm models, especially in reducing the scatter of predictions.
Keywords - Artificial Neural Network (ANN), Cascade Forward Back propagation (CFB), Compressive Strength, Feed Forward Back propagation (FFB), Ready Mix Concrete
[2] Tsivilis S, Parissaki G. A mathematical model for tee prediction of cement strength. Cem Concr Res 1995;25(1):9–14.
[3] Hong-Guang N, Ji-Zong W. Prediction of compressive strength of concrete by neural networks. Cem Concr Res 2000;30(8):1245–50.
[4] Oztas A, Pala M, Ozbay E, Kanca E, Caglar N, Bhatti MA. Predicting the compressive strength and slump of high strength concrete using neural network. Constr Build Mater 2006;20(9):769–75.
[5] Bilim C, Atis CD, Tanyildizi H, Karahan O. Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network. Adv Eng Soft 2009;40(5):334–40.
[6] Ramezanianpour AA, Sobhani M, Sobhani J. Application of network based neuro-fuzzy system for
prediction of the strength of high strength concrete. Amirkabir J Sci Technol 2004;5(59-C):78–93. [7] Sarıdemir M. Predicting the compressive strength of mortars containing metakaolin by artificial neural networks and fuzzy logic. Adv Eng Soft 2009;40(9):920–7.
[8] Ozcan F, Atis_ CD, Karahan O, Uncuog˘lu E, Tanyildiz H. Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete. Adv Eng Soft 2009;40(9):856–63.
[9] Yilmaz I, Yuksek G. Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models. Int J Rock Mech Mining Sci 2009;46(4):803–10.
[10] Fazel Zarandi MH, Turksen IB, Sobhani J, Ramezanianpour AA. Fuzzy polynomial neural networks for approximation of the compressive strength of concrete. App Soft Comp 2008;8:488–98.
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Paper Type | : | Research Paper |
Title | : | Comparison of Fuzzy Logic and ANFIS for Prediction of Compressive Strength of RMC |
Country | : | India |
Authors | : | Dheeraj S. Badde1, Anil k. Gupta2, Vinayak K. Patki |
Abstract: In this research work, comparative study for prediction for 28-days compressive strength of Ready Mix Concrete(RMC) have been carried out by using Fuzzy logic and Adaptive Neuro Fuzzy Inference System (ANFIS) modeling. These data are analysed by using three different membership functions viz. Triangular, Trapezoidal and Gaussian. Further these membership functions are fuzzified with fuzzy rule inference with min, max rule principles; these are defuzzified with centroid method. Various models have been developed for different input scenarios, non-dimensional ratios were used for modelling and the ratios such that their changes resulted in corresponding changes in the output. The compressive strength was modeled as a function of various variables viz: w/c ratio, FA/CA ratio, weight of cement, weight of FA & CA, weight of water etc..,. The effects of each parameter on networks were studied for Fuzzy Logic (FL) and ANFIS models. ANFIS and FL are comparable and ANFIS is better than FL, as proved in this work considering the performance index such as Coefficient of Correlation.
Keywords - Adaptive Neuro Fuzzy Inference System (ANFIS), Compressive Strength, Fuzzy Logic (FL), Membership Function (MF), Ready Mix Concrete
[1] Paresh Chandra Deka and Somanath N Diwate (2011) Modeling Compressive Strength of Ready Mix Concrete Using Soft Computing Techniques. International Journal of Earth Sciences and Engineering , Volume 04, No 06 SPL, October 2011, pp. 793-796. [2] Zain MFM, Abd SM. Multiple regression model for compressive strength prediction of high performance concrete. J Appl Sci 2009;9(1):155–60.
[3] Tsivilis S, Parissaki G. A mathematical model for tee prediction of cement strength. Cem Concr Res 1995;25(1):9–14.
[4] Hong-Guang N, Ji-Zong W. Prediction of compressive strength of concrete by neural networks. Cem Concr Res 2000;30(8):1245–50.
[5] Oztas A, Pala M, Ozbay E, Kanca E, Caglar N, Bhatti MA. Predicting the compressive strength and slump of high strength concrete using neural network. Constr Build Mater 2006;20(9):769–75.
[6] Bilim C, Atis CD, Tanyildizi H, Karahan O. Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network. Adv Eng Soft 2009;40(5):334–40.
[7] Ramezanianpour AA, Sobhani M, Sobhani J. Application of network based neuro-fuzzy system for prediction of the strength of high strength concrete. Amirkabir J Sci Technol 2004;5(59-C):78–93.
[8] Sarıdemir M. Predicting the compressive strength of mortars containing metakaolin by artificial neural networks and fuzzy logic. Adv Eng Soft 2009;40(9):920–7.
[9] Ozcan F, Atis_ CD, Karahan O, Uncuog˘lu E, Tanyildiz H. Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete. Adv Eng Soft 2009;40(9):856–63.
[10] Yilmaz I, Yuksek G. Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models. Int J Rock Mech Mining Sci 2009;46(4):803–10.
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Paper Type | : | Research Paper |
Title | : | Cost of poor Quality in Construction |
Country | : | India |
Authors | : | Eng. Vishal Vasant Waje1, Eng. Vishal Patil |
[1] Burcu Akinci, Frank Boukamp, Towards automated defect detection: Object-oriented Modeling of Construction Specifications, Carnegie Mellon University, Pittsburgh, PA 15213, USA
[2] Er. R. B. Chapalkar, My Construction Practice.
[3] Nur Diyana Binti MD.Kasim, Building Defect: Case Study at Taman Seri Indah, Pulau Pinang, Malysia Pahang University
[4] Dr. Suhansa Rodchua, Factors, Measures, and Problems of Quality Costs Program Implementationin the Manufacturing Environment, Indiana State University
[5] Schiffauerova and V. Thomson, A review of research on cost of quality models and best practices, International Journal of Quality and Reliability Management, 2006, Vol. 23, No. 4, pp. 1-23.
[6] Aynur Kazaz1, M. Talat Birgonul2, Serdar Ulubeyli1, Cost-based analysis of quality in developing countries: a case study of building projects, 1Akdeniz University, 07200 Topcular, Antalya, Turkey, 2 Middle East Technical University, 06531 Ankara, Turkey
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Paper Type | : | Research Paper |
Title | : | Effect of harmonics on active power flow and apparent power in the power system |
Country | : | india |
Authors | : | Prachi Godbole |
Abstract: This paper presents an analytical method of calculating total harmonic active and apparent power in the power system in harmonic environment. Starting from the harmonic measurement strategies, the effect on true power factor is discussed. The harmonic active power flow in the system and accordingly, the locations of the sources of particular harmonics are found. Also, numerical results are obtained with reference to a case study of a steel industry with induction furnace as a nonlinear load.
Keywords - Active harmonic power, power flow, total apparent power.
[1] Massimo Ailello,Antonio Cataliotti,Valentina Cosentino,Salvatore Nuccio, " A power quality instrument for harmonics interharmonicsand amplitude disturbances measurements ".Proceedings.XVII IMEKO World Congress,June 22-27,2003,Dubrovnik,Croatia.
[2] Sankaran, C. (1995-10-01). "Effects of harmonics on power systems". Electrical Construction and Maintenance Magazine. Penton Media, Inc.. Retrieved 2008-09-05.
[3] Almoataz Youssef Abdelaziz. "Sources and Mitigation of Harmonics in Industrial Electrical Power Systems: State of the Art" The Online Journal on Power and Energy Engineering (OJPEE) 3.4 (2012): 320-332.
[4] Jos Arrillaga & Neville R. Watson, Power System Harmonics, 2nd edition, 2007, John Wiley & Sons
[5] IEEE, Recommended Practice and Requirements for Harmonics Control in Electrical power Systems, ANSI/ IEEE 519-1992
[6] ] Jos Arrillaga, Neville R. Watson and S.Chen, Power system quality assessment,1st 2000 edition, John Wiley & Sons.
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Paper Type | : | Research Paper |
Title | : | "Emerging Trends in Formwork - Cost Analysis & Effectiveness of Mivan Formwork over the Conventional Formwork" |
Country | : | India |
Authors | : | Miss. Patil Dhanashri Suryakant1 , Prof. Desai D B |
Abstract: Construction is one of the significant sectors of Indian economy and is an integral part of the development. Today India's urban population is the second largest in the world and its future development leads to increased demand for housing to cope with this problem India should desperately need to plan for acquisition of land and rapid creation of dwelling units. Construction is a complex process involving basically the areas of Architectural planning, Engineering & Construction. There is growing realization today that speed of construction needs to be given greater importance especially for large housing projects. This is not only essential for the faster turnover of equipment and investment – leading possible to the reduction in the housing cost but also for achieving the national objective of creating a large stock to overcome shortest possible time. Fortunately, some of the advanced technologies catering to faster speed of construction are already available in the country. For e.g. Prefabrication, autoclaved blocks, tunnel formwork, aluminum formwork (MIVAN Technology) of construction etc. This paper describes the comparative analysis of conventional formwork and tailor made formwork on the basis of cost and time parameter.
KEYWORDS: – Cost effectiveness, Time effectiveness, Quality control, Quantity parameter.
[8] "Guideline for the design & Erection of false work for the road & bridges By IRC 2005".( Date 14th Dec 2011) (www.ruidp.gov.in/RUIDPCircular/.../Bridge%20Hand%20book.pdf)
[9] "Building Formwork".Building construction By B.C.Punmia (2008 edition).
[10] "Mivan Formwork Products" Products & Services,MFE Formwork Technologies,www.mfeformwork.com/Products-Services/Products-Services/Products-Services.asp (Date 20th Dec 2011).
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Paper Type | : | Research Paper |
Title | : | Evaluation Of Existing Small Scale Li Schemes By Techno – Economical Aspects |
Country | : | India |
Authors | : | Patil R. J., Konnur B. A. |
Abstract: Existing small Lift irrigation (LI) schemes which are executed and operated since last thirty to forty years have contributed the significant socio-economic integration in the life of farmers in western Maharashtra. After extending the services for many years, efficiency of these LI schemes is considerably reduced in performance due to various problems. Deterioration of existing pipes, weak pipe joints, wear and tear of machinery, obsolescence, improper management, modifications required in design etc; are the majority of the problems for poor performance of existing LI schemes. In this paper, it is proposed to recognize the problems and sort out them based on technical and economical aspects. Paper identifies the different factors which are relevant and causing poor performance of existing LI schemes. It will also suggest the guidelines to study the problems. Overall performance evaluation framework contains the identification of both strong and poor events of existing small LI schemes. This presentation will assist to prepare a evaluation report based on Techno – Economical aspects and to mitigate the constraints faced by existing small Lift Irrigation scheme
Keywords – Deterioration of Pipes, Distortion of joints, Poor Areas, Improper Management.
[1] AICTE, Water Supply Systems Management - Continuing Education Programme, March - 1990 (Code No.78 and 195)
[2] Bhandari R. P. and Pokharel D. R., Modernization of Farmer-Managed Irrigation Systems in Nepal: Process and Learning.
[3] Chaube U.0 and Inamdar M.S, Model Study of Irrigation and Water Management in Krishna Projects.
4] Department Of Water Resources, Participatory Irrigation Management, 2009-10 Annual Report, Government of Orissa.
[5] Garg S.K., Irrigation Engineering & Hydraulic Structures', 12 Edition, - 1996, Khanna Publications, New Delhi.
[6] Khadilkar M.V. & Mahatma K, A Project Report on Lift Irrigation Scheme, 1988-89, T.K.I.E.T., Warananagar.
7] Kharandikar S.S, Santpur S.S & Sakhadev D.P, Workshop on Lift Irrigation Schemes 1 July -13 July 1985, Waichand College of Engineering Sangli.
8] Sharma S.K, 'Principles and Practices of Irrigation Engineering' liEd, S.Chand and Company Pvt Ltd. [
9] Shirke S.G., Suryavanshi A.R., Chandorkar A.V, Need for and Limitations in the Application of Information Technology to the Irrigation Sector in Developing Countries, Water and Land Management Institute, Aurangabad, Maharashtra, India.
[10] Irrigation Cooperatives Booklet No. 469 Irrigation: IRS-8,
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Paper Type | : | Research Paper |
Title | : | Health Assessment Of Reinforced Concrete Structures - A Case Study |
Country | : | India |
Authors | : | Prof. Dr.D.K.Kulkarni, Mr. Teke Sudhakar. S. |
2) T. Parhizkar and Ali Akbar Ramezanianpour ., "The Role of Non Destructive Tests for Evaluation of a Concrete Structure –A Case Study", Non–Destructive Testing in Civil Engineering 2003, International symposium, pp 24-27.
3) Dr. S. K. Kaushik, ( 2005 ) "Non destructive testing in civil engineering", New Building Materials & Construction World – October ,2005, pp 40-64
4) Atul K. Desai, Krupesh A. Chauhan and Dr. N. C. Shah ., "Method of health monitoring of structures and diagnostic medicine", Civil Engineering And Construction review-May,2008, pp 42-50.
5) Kaushal Kishore., "Testing concrete for cement content, water content and pH value". Civil Engineering And Construction review –April,2008, pp 54-59.Dr. M. Verman ., "Non Destructive Testing For Damage Assessment of Civil Engineering Structures", Instrumentation and Non Destructive Testing Civil Engineering and Construction Review, Vol. 21, No.4, April,2008, pp 26-36.
6) Dr S.K.Dubey (2009 ), " Strength Assessment of Concrete Structures By Non- Destructive Testing", New Building Materials & Construction World –December ,2009, pp 208-217.Dr.Santanu Bhanja ., " Health Assessment Of Reinforced Concrete Structures- Case Studies", New Building Materials & Construction World – February,2010 , pp 111-125.
7) "Method of Non-destructive Testing of Concrete – Ultrasonic Pulse Velocity",
IS: 13311 pt.1 (1992), BIS, New Delhi.
8) "Method of Non-destructive Testing of Concrete –Rebound Hammer", IS: 13311 pt.2 (1992), BIS, New Delhi.
9) "Indian Standard Code Of Practice For Plane Reinforced Concrete Structures".
IS: 456 (2000), Bureau of Indian Standards, New Delhi.
10) Guidebook on non-destructive testing of concrete structure, International Atomic Energy Agency, Vienna, 2002
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Paper Type | : | Research Paper |
Title | : | Magnetic properties of cobalt substituted nanocrystalline Ni-Zn ferrites prepared by chemical route |
Country | : | India |
Authors | : | M.M. Mallapura, S. S.Chouguleb and B.K. Chougule |
Abstract: Spinel ferrites in the nano range having composition Ni0.7-xZn0.3CoxFe2O4 where x varies as x=0.0 -0.7 were synthesized through chemical route using sucrose as fuel, PVA as chelating agent and metal nitrates. Structural analysis was done by XRD and TEM. They correspond to well defined crystalline FCC phase and confirm the formation of spinel structure. No additional peaks are found ensuring phase purity. The slow increase in the lattice constant is due to the replacement of Ni2+ ions (0.74Ao) by slightly larger Co2+ ion (0.78Ao). Characterization by TEM revealed a well defined nanocrystallite state with an average particle size of around 10nm. Magnetic properties measured from hysteresis patterns at room temperature reveal an increase in saturation magnetization with increase in cobalt content. Non linear increase is related to surface effects and method of preparation. Anisotropy constants obtained from coercive field measurements are found to increase linearly for low cobalt concentrations.
Keywords: XRD, TEM, saturation magnetization, dielectric parameters
[1] R. S. Devan, Y. D. Kolekar, B.K. Chougule, J. Phys: Comdens. Matter, 18(2006)9809
[2] W. F. J. Fontijn, P.J. van der Zaag, L.F. Feiner, R. Metselaar and M.A. Devillers, J. Appl. Phys.85: 5100
[3] Y. Suzuki Ann. Rev. Mater. Res., 31: 265
[4] R.W. Siegel Mechanical Properties and Deformation Behaviorf Materials Having Ultra-Fine Microstructures; Nastasi, M., etal., Eds.; Kluwer Academic Publishers: Dordrecht, The Netherlands,1993.
[5] R. P. Andres, R. S. Averback, W. L. Brown, L. E. Brus, W. A. Goddard III, AKaldor and S. G. Louie, J. Mater. Res. 4 (1989) 704
[6] G.V. Duong, N.Hanh, D.V.Linh , R. Groessinger, P. Weinberger E. Schafler and M. Zehetbauer J. Magn. Magn. Mater. 10 (2006) 1016
[7] H. Nathani, S. Gubbala and R. D. K. Mishra Mater. Sci. and Engg. B 121 (2005) 126-136
[8] C. Caizer and M. StefanescuJ. Phys. D: Appl. Phys 35 (2002) 3035
[9] L. Diandra and L. Pelecky Chem. Mater. 8 (1996) 1770
[10] S. Gangopadhyay, G. C. Hadjipanayis, S. I. Shah, C. M. Sorensen, K. J. Klabunde, V. Papaefthymiou and A. J. Kostikas, J. Appl Phys. 70 (1991) 5888.
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Paper Type | : | Research Paper |
Title | : | MICRO-PILES |
Country | : | India |
Authors | : | Miss.Y.D.Honrao ,Prof. A. K. Gupta, Prof. D. B. Desai |
[1. Lizzi, F. (1982). "The pali radice (root piles)". Symposium on soil and rock Improvement techniques including geotextiles, reinforced earth and modern piling Methods, Bangkok, D3.
2. Plumelle, C. (1984). "Improvement of the bearing capacity of the soil by inserts of group and reticulated micropiles". International symposium on in-situ reinforcement of soils and rocks, Paris, 83-89.
3. Sridharan, A., and Murthy, B.R.S. (1993). "Remedial measures to building Settlement problem". Proceedings of Third International conference on case histories in Geotechnical Engineering, St. Louis, Missouri, 221-224.
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Paper Type | : | Research Paper |
Title | : | "Pictorial Informative Support to Landslide Hazard Management Maps of Uttarakhand, India." |
Country | : | India |
Authors | : | Shekhar Gaikwad1, P. G. Chandak, M. B. Kumthekar, P. K. Deshpande |
Abstract: Garhwal Himalaya is a disaster prone part of the state of Uttarakhand especially known for huge landslides and torrential floods. Many efforts were made so far for landslide hazard zonation mapping along with mitigation plans. NRSC has published landslide zonation maps along with landslide management maps for the state of Uttarakhand and Himachal. But supportive geotechnical data for the same has not been made available. Therefore, in present paper the mitigative recommendations put by National Remote sensing centre (NRSC), Hyderabad is being explained with pictorial examples. This work may be useful for a construction manager handling the vulnerable sites in Garhwal Himalaya.
Keywords: Back Analysis, Landslide Hazard Zonation Map, Landslide Hazard Management Map.
1999),―Measurement of landslide displacements using a wire extensometer‖, J. Corominas et al. / Engineering Geology 55 (2000) , pp.149–166.
[2] Hutchinson, J.N. (1977), ―The Assessment of The Effectiveness of Corrective Measures in Relation to
Geological Conditions and types Of Slope Movement‖, Bulletin IAEG, 16, pp. 131-155.
[3] Popescu Mihail E., Illinois Institute of Technology, Chicago, USA (2009), ―Landslide Causal Factors and Landslide Remediatial Options‖, pp. 1-21.
[4] Popescu Mihail E. (Illinois Institute of Technology, USA), Katsuo Sasahara (Kochi University, Japan)
(2009), ―Engineering Measures for Landslide Disaster Mitigation‖, pp. 1-31.
[5] Suhaimi Jamaludin, Bujang B.K. Huat and Husaini Omar, Malaysia (2006), ―Evaluation of Slope
Assessment Systems for Predicting Landslides of Cut Slopes in Granitic and Meta-sediment Formations‖, American Journal of Environmental Sciences 2 (4): Science Publications 2006, ISSN 1553-345X, pp. 135-141.
[6] Thompson Mark J., Research Assistant and White David J., Assistant Professor, Iowa State University (June 2005), ―Review of Stability Berm Alternatives for Environmentally Sensitive Areas‖, pp. 1-68.
[7] Turner A. K., Jayaprakash G. P., Schuster L. R. (1996), ―Landslide: Investigation and Mitigation‖,
Transportation Research Board Special Report, pp. 129-177.
[8] www.iirs.gov.in
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Paper Type | : | Research Paper |
Title | : | Joint Venture in Construction Industry |
Country | : | India |
Authors | : | Ms.Kale, V.V., Ms Patil, S.S., Ms Hiravennavar, A.R., Prof. Kamane.S.K. |
[2] Kathy, Daniel W.M, Albert P.C.(July 2003)-"Partnering in construction: critical study of problems for implementation"ASCE vol 19
[3] Nayer John and Lewis Mark (oct .1997)-" International alliances using joint venture in a diversified company" LRP vol.60
[4] Norwood Stephen (1999)-" Joint venture issue in concerning european and asian construction market1990" IJPM vol. 17
[5] Sheu L.Y., George W.C.,Catherine(Jan 2001)-"Risk assessment in construction joint ventures in china" ASCE vol 127
[6] Vincent Rowan(July 2004) "How joint ventures are organized, operated on international construction projects" the overseas construction association of japan, inc. (OCAJI)