Recent trends in civil engineering & technology (vol4, issue3)

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Dr. Vasant Matsagar Indian Institute of Technology (IIT) Delhi, India.

Dr. Baskar Kaliyamoorthy Associate Professor Department of Civil Engineering National Institute of Technology Trichy, India.

Professor Jyant Kumar Professor, Civil Engineering Department, Indian Institute of Science, Bangalore, India.

Professor D Nagesh Kumar Professor Department of Civil Engineering Indian Institute of Science Bangalore, India.

Dr. Pranab Kumar Mohapatra University of South Carolina Columbia SC, USA, United States.

Prof S. Mohan Indian Institute of Technology, Madras Chennai, India.


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Dr. S. P. Agrawal Chief Scientist & Adviser Central Building Research Institute ROORKEE, India.

Sekhar Kumar Chakrabarti Professor Department of Civil Engineering Indian Institute of Technology Kanpur Kanpur 208016, India.

Dr. P. C. Thapliyal Principal Scientist, The Central Building Research Institute, Roorkee, India.

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Dr. Sukhdeo Karade CSIR-Central Building Research Institute, Roorkee and AcSIR, India


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I take the privilege to present the hard copy compilation for the [Volume 4 Issue (3)] of Recent Trends in Civil Engineering & Technology (RTCET). The intension of RTCET is to create an atmosphere that stimulates creativeness, research and growth in the area of Civil Engineering & Technology. The development and growth of the mankind is the consequence of brilliant Research done by eminent Scientists and Engineers in every field. RTCET provides an outlet for Research findings and reviews in areas of Civil Engineering & Technology found to be relevant for National and International recent developments & research initiative. The aim and scope of the Journal is to provide an academic medium and an important reference for the advancement and dissemination of Research results that support high level learning, teaching and research in the domain of Civil Engineering & Technology. Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for their continued support and invaluable contributions and suggestions in the form of authoring writeups/ reviewing and providing constructive comments for the advancement of the journals. With regards to their due continuous support and co-operation, we have been able to publish quality Research/Reviesw findings for our customers base. I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.

Dr. Archana Mehrotra Director STM Journals


Recent Trends in Civil Engineering & Technology

Contents

1. Design of Beam using Artificial Neural Network based Approach Sakshi Gupta

1

2. Fiber-Reinforced Cement Mortar for Brick Masonry Abhishek Agarwal, Prabhat K. Soni, Rakesh Patel

7

3. Spatial Crime Pattern using Geographical Information System: A Review Muhammad Syahiran Amran, Khairul Nizam Tahar, Ahmad Afiq Hassan, Muhamad Syahir Shadin, Khairul Farhanah Khairon, Mohammad Haminuddin Abdul Hadi 11 4. Study of the Effect of Rice Husk As An Active Low-cost Adsorbant for Textile Wastewater Treatment Vijayakumar S., Arunprakash C., Gobinath R., Asha M., Subramaniam M., Poornimasree S.R ., Gunasekar L.

16

5. Study of the Effect of Saline Solution on the Extraction of the Acacia Gum Active Coagulant for Textile Wastewater Treatment S. Vijayakumar, C. Arunprakash, R. Gobinath, M. Nishanth, L. Gunasekar, T.Narmatha

20


Recent Trends in Civil Engineering & Technology ISSN: 2249-8753(online), ISSN: 2321-6476(print) Volume 4, Issue 3 www.stmjournals.com

Design of Beam using Artificial Neural Network based Approach Sakshi Gupta* Department ASET, Civil Engineering, Amity University, Manesar, Gurgaon, Haryana, India Abstract Recent developments in artificial neural network (ANN) have opened up new possibilities in the field of structural engineering. This paper demonstrates the applicability of ANN for the design of beams subjected to moment and shear. An attempt has been made to capture the mapping between the design variables using ANN. There is no direct method for design of beams. A feed forward network and back propagation training algorithm has been used. For training, about 48 data sets were generated. After successful learning, the model predicted the depth of the beam, area of steel, spacing of stirrups required for new problems with accuracy satisfying all design constraints.

Keywords: Artificial neural network, beams, steel, area, depth, moment, shear

RTCET (2014)Š STM Journals 2014. All Rights Reserved


Recent Trends in Civil Engineering & Technology ISSN: 2249-8753 (online), ISSN: 2321-6476 (print) Volume 4, Issue 3 www.stmjournals.com

Fiber-Reinforced Cement Mortar for Brick Masonry Abhishek Agarwal*, Prabhat K. Soni, Rakesh Patel Department of Civil Engineering, SIRTS, Bhopal, India

Abstract Masonry construction has some advantages in comparison to reinforced concrete and steel construction. Masonry buildings are widely used for housing construction not only in India but in many parts of the world. These advantages are thermal comfort, sound control, possibility of addition and alterations after construction, less form work, easy and inexpensive repair, use of locally available material, need of less skilled labor and less engineering intervention, etc. Seismic resistance capacity of masonry construction is relatively low in comparison to engineering construction; the damage is more during earthquake in case of masonry structures. Most of the casualties are due to collapse of these constructions in earthquake. In order to improve seismic performance, masonry is reinforced with some reinforcement, i.e., steel reinforcement bars, which in turn are expensive and lack the ability to absorb mechanical impact. Fiber-reinforced cement mortar can be used for brick masonry to improve its capacity.

Keywords: Masonry buildings, fiber reinforced cement mortar, compressive strength, flexural strength

RTCET (2014)Š STM Journals 2014. All Rights Reserved


Recent Trends in Civil Engineering & Technology ISSN: 2249-8753 (online), ISSN: 2321-6476 (print) Volume 4, Issue 3 www.stmjournals.com

Spatial Crime Pattern using Geographical Information System: A Review Muhammad Syahiran Amran, Khairul Nizam Tahar*, Ahmad Afiq Hassan, Muhamad Syahir Shadin, Khairul Farhanah Khairon, Mohammad Haminuddin Abdul Hadi Centre of Studies for Surveying Science & Geomatics, Faculty of Architecture, Planning & Surveying, Universiti Teknologi Mara, Shah Alam, Selangor, Malaysia

Abstract The article describes the development of crime pattern analysis using geographic information system (GIS). Criminal activities nowadays continue to be a major concern in contemporary society in many countries around the world. Most nation are faced with unacceptable level of crime such as murder, raped, robbery, and many crime that gives bad effect to the communities in the country. Therefore specific studies need to be conducted to overcome this problem. This study introduces GIS as a tool to identify the hot spot area of crime incident. GIS is able to manipulate crime data into the spatial visualisation. This article reviews the definition of crime, property of crime, cause and prevention of crime, crime analysis using GIS technology, and crime hotspots method. In conclusion, the GIS technology could help local authority to monitor the increment of crime at certain area.

Keywords: crime, GIS, analysis, hotspot, risk map

RTCET (2014)Š STM Journals 2014. All Rights Reserved


Recent Trends in Civil Engineering & Technology ISSN: 2249-8753 (online), ISSN: 2321-6476 (print) Volume 4, Issue 3 www.stmjournals.com

Study of the Effect of Rice Husk As An Active Low-cost Adsorbant for Textile Wastewater Treatment Vijayakumar S.*, Arunprakash C., Gobinath R., Asha M., Subramaniam M., Poornimasree S.R ., Gunasekar L. Department of Civil Engineering, Jay Shriram Group of Institutions, Avinashipalayam, Tirupur, India

Abstract Textile wastewater contains different colors which are harmful to the environment. Activated carbon can be used for the decolorization of textile wastewater. Most of the textile plants do not use the activated carbon due to its expensive cost and still it was classified as imported item. Low-cost adsorbant produced from locally available materials can solve this problem. This paper describes the color removal of textile wastewater by adsorption process using rice husk in a low-cost method. The maximum adsorption of color was found at an optimum temperature of 27 °C with the retention time of 24 h. In this study the rice husk obtained from agriculture waste is investigated as viable materials for treatment of sulfate, iron, chloride, biochemical oxygen demand (BOD), and chemical oxygen demand (COD) available in textile waste water. The result shows promising reduction in the COD, BOD reduction and also provides good colour removal.

Keywords: textile industry, rice husk, adsorbant, wastewater

RTCET (2014)Š STM Journals 2014. All Rights Reserved


Recent Trends in Civil Engineering & Technology ISSN: 2249-8753 (online), ISSN: 2321-6476 (print) Volume 4, Issue 3 www.stmjournals.com

Study of the Effect of Saline Solution on the Extraction of the Acacia Gum Active Coagulant for Textile Wastewater Treatment S. Vijayakumar*, C. Arunprakash, R. Gobinath, M. Nishanth, L. Gunasekar, T.Narmatha Department of Civil Engineering, Jay Shriram Group of Institutions, Avinashipalayam, Tirupur, India Abstract The use of synthetic coagulants is not regarded as suitable due to health and economic considerations. A new coagulant obtained through polymerization of acacia gum extract has been characterized in the removal of dangerous dye pollutants. The present study was aimed to investigate the effects of acacia gum as coagulant in treatment of textile wastewater. The coagulant prepared was employed for the removal of sludge at the different doses. The coagulant was found to be capable of removing sludge from wastewater; the color removal capacity for acacia was approximately 90% at normal pH and temperature. From the experimental investigations, the maximum color, sludge removal from the textile industry wastewater was obtained at an optimum coagulant dosage of 25 ml/l of wastewater, with an optimum contact time of 1 hour, at room temperature. The results obtained in this study is promising when compared with the results obtained by using various other coagulants. It is found that the transmittance was found to be 83% with an absorbance of 0.07, TDS reduced from 5.15 PPT to 2.87 PPT, biochemical oxygen demand (BOD) too was reduced from 160 to 60 mg/l. Also owing to the coagulation process several other parameters such as chloride, sulfate, iron, chemical oxygen demand (COD) was also reduced considerably.

Keywords: acacia gum, natural coagulant agents, dye removal, sludge removal, textile wastewater

RTCET (2014)Š STM Journals 2014. All Rights Reserved


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