{"title":"EFFECT OF RICE HUSK ASH AND STEEL FIBERS ON SELF-COMPACTING CONCRETE PROPERTIES","authors":"","doi":"10.21660/2023.108.3677","DOIUrl":"https://doi.org/10.21660/2023.108.3677","url":null,"abstract":"","PeriodicalId":47135,"journal":{"name":"International Journal of GEOMATE","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46281977","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}
{"title":"THREE-DIMENSIONAL PHYSICAL MODELLING OF SINGLECHAMBER SKIRT BREAKWATER (SCSB)","authors":"A. A. Wibowo","doi":"10.21660/2023.108.3534","DOIUrl":"https://doi.org/10.21660/2023.108.3534","url":null,"abstract":"","PeriodicalId":47135,"journal":{"name":"International Journal of GEOMATE","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47834951","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}
{"title":"PARTNERSHIP-BASED POLICIES AND PLANS FOR OPEN SPACE MANAGEMENT OF CASE STUDIES IN POST-INDUSTRIAL LANDSCAPES","authors":"T. Miyagawa","doi":"10.21660/2023.108.s8638","DOIUrl":"https://doi.org/10.21660/2023.108.s8638","url":null,"abstract":"","PeriodicalId":47135,"journal":{"name":"International Journal of GEOMATE","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44590623","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}
{"title":"DETERMINING THE STATUS OF THE SETIAMANAH RESERVOIRECOSYSTEM IN CIMAHI CITY OF WEST JAVA PROVINCE","authors":"E. Wardhani","doi":"10.21660/2023.108.3787","DOIUrl":"https://doi.org/10.21660/2023.108.3787","url":null,"abstract":"","PeriodicalId":47135,"journal":{"name":"International Journal of GEOMATE","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42277914","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}
: Accurate estimation of groundwater flow is crucial in arid regions where permanent surface water is absent. In several groundwater simulation models, an important parameter for identifying areas with high potential for groundwater resources is the accurate fracture-fault detection. In the present study we propose a deep learning approach to detect fracture-fault structures in the Ali Faren sub-catchment of Ambouli Wadi in Djibouti. Our deep convolutional neural network (Deep-CNN) model is trained on high-spatial resolution multispectral satellite images using wadi streamline as labels. Fracture-fault structures are extracted using stepwise elimination based on geological characteristics observed in relief images derived from PALSAR-1/2 data. Our results demonstrate that the proposed Deep-CNN model accurately detects fracture-fault lines, achieving a validation accuracy of 0.9684, precision of 0.9124, recall of 0.9701, and F1 of 0.8997. The proposed model has the potential to identify potential areas for groundwater resources across the country, contributing to sustainable water management and improving Djibouti's water security. Our study highlights the potential of deep learning techniques in addressing challenges related to sustainable water management in arid regions.
{"title":"FRACTURE-FAULTDETECTIONUSING DEEP LEARNING WITH STEPWISE ELIMINATION FROM SATELLITE IMAGES IN DJIBOUTI","authors":"D. P. Rubanga","doi":"10.21660/2023.108.s8569","DOIUrl":"https://doi.org/10.21660/2023.108.s8569","url":null,"abstract":": Accurate estimation of groundwater flow is crucial in arid regions where permanent surface water is absent. In several groundwater simulation models, an important parameter for identifying areas with high potential for groundwater resources is the accurate fracture-fault detection. In the present study we propose a deep learning approach to detect fracture-fault structures in the Ali Faren sub-catchment of Ambouli Wadi in Djibouti. Our deep convolutional neural network (Deep-CNN) model is trained on high-spatial resolution multispectral satellite images using wadi streamline as labels. Fracture-fault structures are extracted using stepwise elimination based on geological characteristics observed in relief images derived from PALSAR-1/2 data. Our results demonstrate that the proposed Deep-CNN model accurately detects fracture-fault lines, achieving a validation accuracy of 0.9684, precision of 0.9124, recall of 0.9701, and F1 of 0.8997. The proposed model has the potential to identify potential areas for groundwater resources across the country, contributing to sustainable water management and improving Djibouti's water security. Our study highlights the potential of deep learning techniques in addressing challenges related to sustainable water management in arid regions.","PeriodicalId":47135,"journal":{"name":"International Journal of GEOMATE","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42300116","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}
{"title":"INCREASING THE STABILITY OF EXPANSIVE SOILUSING LAPINDO SEDIMENTSMATERIALS","authors":"AgusTugas Sudjianto","doi":"10.21660/2023.108.3767","DOIUrl":"https://doi.org/10.21660/2023.108.3767","url":null,"abstract":"","PeriodicalId":47135,"journal":{"name":"International Journal of GEOMATE","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42852425","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}
: Railway transportation in Iraq is irreplaceable for its significant role in economic growth. Due to inadequate maintenance and upgrading of the railroad, the Iraqi transportation system has deformed and poor-quality rails. The ballasted track is the traditional railway system where the ballast and sub-ballast layers provide structural support against the high dynamic stresses transmitted from moving trains. This paper attempts to study the effect of geotextile reinforcement on railway-ballasted track layers using the Abaqus program to examine the behavior of railroads' railway-ballasted trucks of varying thicknesses reinforced with geotextile. The study used the finite element method and adopted simulation to investigate the behavior of the railways. The sub-ballast thicknesses used are 150, 200, 250, 300, 350, and 400 mm, with 200 mm ballast thickness and 4 m subgrade thickness. The findings revealed that a 50 mm increase in sub-ballast thickness resulted in a 7.2% reduction in deformation. The findings show that utilizing geotextile atop the ballast layer is equivalent to increasing the sub-ballast layer's thickness by around 3.57 cm to reduce track distortion. The result showed that using geotextile would reduce model settlement with a range between (38-18) percent for total model settlement for the different models that have been tested. In addition, using geotextile under the ballast layer is more effective in reducing model settlement if there is an economical restraint to use only one reinforcement layer.
{"title":"AN APPROACH STUDY OF REDUCING THE SUB-BALLAST THICKNESS OF RAILWAY USING GEOTEXTILES","authors":"Saad F. I. Al-Abdullah","doi":"10.21660/2023.108.s8656","DOIUrl":"https://doi.org/10.21660/2023.108.s8656","url":null,"abstract":": Railway transportation in Iraq is irreplaceable for its significant role in economic growth. Due to inadequate maintenance and upgrading of the railroad, the Iraqi transportation system has deformed and poor-quality rails. The ballasted track is the traditional railway system where the ballast and sub-ballast layers provide structural support against the high dynamic stresses transmitted from moving trains. This paper attempts to study the effect of geotextile reinforcement on railway-ballasted track layers using the Abaqus program to examine the behavior of railroads' railway-ballasted trucks of varying thicknesses reinforced with geotextile. The study used the finite element method and adopted simulation to investigate the behavior of the railways. The sub-ballast thicknesses used are 150, 200, 250, 300, 350, and 400 mm, with 200 mm ballast thickness and 4 m subgrade thickness. The findings revealed that a 50 mm increase in sub-ballast thickness resulted in a 7.2% reduction in deformation. The findings show that utilizing geotextile atop the ballast layer is equivalent to increasing the sub-ballast layer's thickness by around 3.57 cm to reduce track distortion. The result showed that using geotextile would reduce model settlement with a range between (38-18) percent for total model settlement for the different models that have been tested. In addition, using geotextile under the ballast layer is more effective in reducing model settlement if there is an economical restraint to use only one reinforcement layer.","PeriodicalId":47135,"journal":{"name":"International Journal of GEOMATE","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41797049","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}
{"title":"A NOVEL APPROACH TO FLY ASH IN ROADBED CONSTRUCTION","authors":"H. Cao","doi":"10.21660/2023.108.3838","DOIUrl":"https://doi.org/10.21660/2023.108.3838","url":null,"abstract":"","PeriodicalId":47135,"journal":{"name":"International Journal of GEOMATE","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46923558","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}
{"title":"SPATIAL MODEL OF FLOOD HAZARD DUE TO LAND COVER CHANGE IN THE TARUSAN WATERSHED, WEST SUMATRA –INDONESIA","authors":"","doi":"10.21660/2023.108.3774","DOIUrl":"https://doi.org/10.21660/2023.108.3774","url":null,"abstract":"","PeriodicalId":47135,"journal":{"name":"International Journal of GEOMATE","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48396397","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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