Pub Date : 2017-03-06DOI: 10.21276/IJEE.2017.10.0113
Chen Donghui, X. Peihua, Zhang Wen, C. Jianping, Song Shengyuan, W. Yin-dong
{"title":"Evaluation of Landslide Hazard Degree Based On the Normal Cloud Model","authors":"Chen Donghui, X. Peihua, Zhang Wen, C. Jianping, Song Shengyuan, W. Yin-dong","doi":"10.21276/IJEE.2017.10.0113","DOIUrl":"https://doi.org/10.21276/IJEE.2017.10.0113","url":null,"abstract":"","PeriodicalId":344962,"journal":{"name":"International journal of Earth Sciences and Engineering","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129740428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-06DOI: 10.21276/IJEE.2017.10.0108
Sharif Mohammed, H. Azhar, Lateef Mohammed, M. Dayoub
{"title":"Optimization of Makespan of Container Loading -Unloading Problem Using Mixed Integer Programming","authors":"Sharif Mohammed, H. Azhar, Lateef Mohammed, M. Dayoub","doi":"10.21276/IJEE.2017.10.0108","DOIUrl":"https://doi.org/10.21276/IJEE.2017.10.0108","url":null,"abstract":"","PeriodicalId":344962,"journal":{"name":"International journal of Earth Sciences and Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124339810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-06DOI: 10.21276/IJEE.2017.10.0102
S. R. Nair, A. Rahim
: Nanotechnology has made a vast progress in the field of construction as it has improved the characteristics of concrete such as mechanical properties and resistance to acidic and chloride attack. Nanotechnology is the use of nano sized particle of material to create a new material with improved properties. This experimental research compares the mechanical properties and durability of different nanomaterial concrete. Nanomaterial can be defined as those physical substances with at least one dimension between 1-150 nanometers. The nanomaterial properties can be very different from the properties of the same materials at micro or macro scale. Nanomaterial provides an exceptional surface area to volume ratio and changes the basic property and reactivity of the material. This in turn enhances the mechanical properties and durability of concrete. The effects of nano silica and nano alumina on M60 high performance concrete were discussed in this paper. The cement was replaced with 40% ground granulated blast furnace slag and different percentage of nanomaterial like 2% to 5% for preparing the concrete. Mechanical Properties like compressive strength, split tensile strength and flexural strength of these nanomaterial concrete were compared. Accelerated corrosion test in saline and acidic conditions was conducted to check the durability of concrete. From these test results the best nanomaterial concrete was determined.
{"title":"Effects of Nanomaterial on Concrete","authors":"S. R. Nair, A. Rahim","doi":"10.21276/IJEE.2017.10.0102","DOIUrl":"https://doi.org/10.21276/IJEE.2017.10.0102","url":null,"abstract":": Nanotechnology has made a vast progress in the field of construction as it has improved the characteristics of concrete such as mechanical properties and resistance to acidic and chloride attack. Nanotechnology is the use of nano sized particle of material to create a new material with improved properties. This experimental research compares the mechanical properties and durability of different nanomaterial concrete. Nanomaterial can be defined as those physical substances with at least one dimension between 1-150 nanometers. The nanomaterial properties can be very different from the properties of the same materials at micro or macro scale. Nanomaterial provides an exceptional surface area to volume ratio and changes the basic property and reactivity of the material. This in turn enhances the mechanical properties and durability of concrete. The effects of nano silica and nano alumina on M60 high performance concrete were discussed in this paper. The cement was replaced with 40% ground granulated blast furnace slag and different percentage of nanomaterial like 2% to 5% for preparing the concrete. Mechanical Properties like compressive strength, split tensile strength and flexural strength of these nanomaterial concrete were compared. Accelerated corrosion test in saline and acidic conditions was conducted to check the durability of concrete. From these test results the best nanomaterial concrete was determined.","PeriodicalId":344962,"journal":{"name":"International journal of Earth Sciences and Engineering","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126403082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-06DOI: 10.21276/IJEE.2017.10.0105
Sandeep Prasad, B. Choudhary, A. K. Mishra
{"title":"Effect of In-Situ Block Size and Rock Properties on Blast Induced Rock Fragmentation in Surface Mines","authors":"Sandeep Prasad, B. Choudhary, A. K. Mishra","doi":"10.21276/IJEE.2017.10.0105","DOIUrl":"https://doi.org/10.21276/IJEE.2017.10.0105","url":null,"abstract":"","PeriodicalId":344962,"journal":{"name":"International journal of Earth Sciences and Engineering","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116338465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-06DOI: 10.21276/ijee.2017.10.0120
B. Venkatesh, T. Chandramohan, K. JoseM, K. PurandaraB, S. Varadaraju
{"title":"Estimation of Water Yield under Various Climate Scenarios at a River Basin Scale in the Manimala River, Kerala, India","authors":"B. Venkatesh, T. Chandramohan, K. JoseM, K. PurandaraB, S. Varadaraju","doi":"10.21276/ijee.2017.10.0120","DOIUrl":"https://doi.org/10.21276/ijee.2017.10.0120","url":null,"abstract":"","PeriodicalId":344962,"journal":{"name":"International journal of Earth Sciences and Engineering","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124881951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-06DOI: 10.21276/IJEE.2017.10.0107
M. Mathivanan, E. SaranathanS
: Ground water plays a vital role in satisfying both domestic and industrial needs. Most of the ground water sources have degraded over the years due to infiltration of untreated industrial effluents and anthropogenic causes. To address these challenges an effort has been made in this study to access the eminence of ground water in Noyyal River basin, Tamil Nadu. Water quality index has been designed based on the data acquired using Arc GIS software 9.3. WQI has played a vital role in precisely demarcating groundwater quality deteriorated zones. The water quality index map visually provides an insight over the area where urbanization can be done and the areas not suitable for further developmental activities. Further if causative factors were identified accordingly appropriate remedial measures can be suggested.
{"title":"Identification of Groundwater Polluted Zones in Noyyal River Watershed (4B2B2) using GIS Technology","authors":"M. Mathivanan, E. SaranathanS","doi":"10.21276/IJEE.2017.10.0107","DOIUrl":"https://doi.org/10.21276/IJEE.2017.10.0107","url":null,"abstract":": Ground water plays a vital role in satisfying both domestic and industrial needs. Most of the ground water sources have degraded over the years due to infiltration of untreated industrial effluents and anthropogenic causes. To address these challenges an effort has been made in this study to access the eminence of ground water in Noyyal River basin, Tamil Nadu. Water quality index has been designed based on the data acquired using Arc GIS software 9.3. WQI has played a vital role in precisely demarcating groundwater quality deteriorated zones. The water quality index map visually provides an insight over the area where urbanization can be done and the areas not suitable for further developmental activities. Further if causative factors were identified accordingly appropriate remedial measures can be suggested.","PeriodicalId":344962,"journal":{"name":"International journal of Earth Sciences and Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124277828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-06DOI: 10.21276/IJEE.2017.10.0118
D. Vijayalakshmi, K. Babu
The frequency of occurrence of extreme hydrologic event like flood is important in water resources planning and management. Though there is a definite relationship between the frequency of occurrences and magnitude of the extreme event, reliable prediction of maximum discharge remains as a challenge due to uncertainties and non-linearity of influencing parameters. Statistical techniques are commonly used for finding the maximum discharge and return period relationship. However, these techniques are generally considered to be inadequate because of the non-linearity of the problem. In this study, artificial neural network and adaptive neuro-fuzzy inference system are employed in order to capture the non-linear relationship between annual maximum discharge and frequency. The developed models are validated using Godavari River basin data. Performances of the developed models were compared with respect to root mean square errors, efficiency and coefficient of determination. Based on these results, it was found that artificial neural network performs marginally better than that of adaptive neuro-fuzzy inference system.
{"title":"Flood Frequency Analysis - A Comparative Study of ANN and ANFIS","authors":"D. Vijayalakshmi, K. Babu","doi":"10.21276/IJEE.2017.10.0118","DOIUrl":"https://doi.org/10.21276/IJEE.2017.10.0118","url":null,"abstract":"The frequency of occurrence of extreme hydrologic event like flood is important in water resources planning and management. Though there is a definite relationship between the frequency of occurrences and magnitude of the extreme event, reliable prediction of maximum discharge remains as a challenge due to uncertainties and non-linearity of influencing parameters. Statistical techniques are commonly used for finding the maximum discharge and return period relationship. However, these techniques are generally considered to be inadequate because of the non-linearity of the problem. In this study, artificial neural network and adaptive neuro-fuzzy inference system are employed in order to capture the non-linear relationship between annual maximum discharge and frequency. The developed models are validated using Godavari River basin data. Performances of the developed models were compared with respect to root mean square errors, efficiency and coefficient of determination. Based on these results, it was found that artificial neural network performs marginally better than that of adaptive neuro-fuzzy inference system.","PeriodicalId":344962,"journal":{"name":"International journal of Earth Sciences and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131654827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-06DOI: 10.21276/IJEE.2017.10.0124
A. Latha, P. Partheeban, R. Ganesan
{"title":"Treatment of Textile Wastewater by Electrochemical Method","authors":"A. Latha, P. Partheeban, R. Ganesan","doi":"10.21276/IJEE.2017.10.0124","DOIUrl":"https://doi.org/10.21276/IJEE.2017.10.0124","url":null,"abstract":"","PeriodicalId":344962,"journal":{"name":"International journal of Earth Sciences and Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132385314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-06DOI: 10.21276/IJEE.2017.10.0101
Zhongjun Hu, Xuejiao Song
: By the axial compression tests on a total of 9 recycled aggregate concrete (RAC) columns confined by square steel tube, the effect of recycled coarse aggregate replacement percentage (RCARP) on the axial compressive strength was studied. Test results indicated that the failure modes of core concrete were diagonal shearing failure. With the increase of RCARP from 0% to 100%, the peak load of specimens decreased 14.5%. The simplified calculative method of bearing capacity was discussed by test data and theoretical analysis, which can provide a reference for engineering designers.
{"title":"Axial Compressive Behavior of Recycled Aggregate Concrete Columns Externally Confined By Square Steel Tube","authors":"Zhongjun Hu, Xuejiao Song","doi":"10.21276/IJEE.2017.10.0101","DOIUrl":"https://doi.org/10.21276/IJEE.2017.10.0101","url":null,"abstract":": By the axial compression tests on a total of 9 recycled aggregate concrete (RAC) columns confined by square steel tube, the effect of recycled coarse aggregate replacement percentage (RCARP) on the axial compressive strength was studied. Test results indicated that the failure modes of core concrete were diagonal shearing failure. With the increase of RCARP from 0% to 100%, the peak load of specimens decreased 14.5%. The simplified calculative method of bearing capacity was discussed by test data and theoretical analysis, which can provide a reference for engineering designers.","PeriodicalId":344962,"journal":{"name":"International journal of Earth Sciences and Engineering","volume":"109 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124670633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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