International Journal of GEOMATE最新文献_第9页

EFFECT OF RICE HUSK ASH AND STEEL FIBERS ON SELF-COMPACTING CONCRETE PROPERTIES 稻壳灰和钢纤维对自密实混凝土性能的影响

IF 0.7

International Journal of GEOMATE Pub Date : 2023-08-01 DOI: 10.21660/2023.108.3677

引用次数: 0

EXPERIMENTAL INVESTIGATION OF CREEP BEHAVIOUR OF SATURATED SOFT CLAY SUBJECTED STATIC LOADING 静载作用下饱和软土蠕变特性试验研究

IF 0.7

International Journal of GEOMATE Pub Date : 2023-08-01 DOI: 10.21660/2023.108.3894

N. Nguyen

引用次数: 1

THREE-DIMENSIONAL PHYSICAL MODELLING OF SINGLECHAMBER SKIRT BREAKWATER (SCSB) 单室裙型防波堤的三维物理建模

IF 0.7

International Journal of GEOMATE Pub Date : 2023-08-01 DOI: 10.21660/2023.108.3534

A. A. Wibowo

引用次数: 0

PARTNERSHIP-BASED POLICIES AND PLANS FOR OPEN SPACE MANAGEMENT OF CASE STUDIES IN POST-INDUSTRIAL LANDSCAPES 基于合作伙伴关系的开放空间管理政策和计划后工业景观案例研究

IF 0.7

International Journal of GEOMATE Pub Date : 2023-08-01 DOI: 10.21660/2023.108.s8638

T. Miyagawa

引用次数: 0

DETERMINING THE STATUS OF THE SETIAMANAH RESERVOIRECOSYSTEM IN CIMAHI CITY OF WEST JAVA PROVINCE 确定西爪哇省cimahi市setiamanah水库生态系统的状况

IF 0.7

International Journal of GEOMATE Pub Date : 2023-08-01 DOI: 10.21660/2023.108.3787

E. Wardhani

引用次数: 1

FRACTURE-FAULTDETECTIONUSING DEEP LEARNING WITH STEPWISE ELIMINATION FROM SATELLITE IMAGES IN DJIBOUTI 吉布提卫星图像中使用深度学习逐步消除的分形故障检测

IF 0.7

International Journal of GEOMATE Pub Date : 2023-08-01 DOI: 10.21660/2023.108.s8569

D. P. Rubanga

{"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}

引用次数: 0

INCREASING THE STABILITY OF EXPANSIVE SOILUSING LAPINDO SEDIMENTSMATERIALS 利用青金石沉淀物提高膨胀土的稳定性

IF 0.7

International Journal of GEOMATE Pub Date : 2023-08-01 DOI: 10.21660/2023.108.3767

AgusTugas Sudjianto

引用次数: 0

AN APPROACH STUDY OF REDUCING THE SUB-BALLAST THICKNESS OF RAILWAY USING GEOTEXTILES 利用土工布减少铁路道砟下厚度的方法研究

IF 0.7

International Journal of GEOMATE Pub Date : 2023-08-01 DOI: 10.21660/2023.108.s8656

Saad F. I. Al-Abdullah

{"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}

引用次数: 0

A NOVEL APPROACH TO FLY ASH IN ROADBED CONSTRUCTION 粉煤灰在路基施工中的新方法

IF 0.7

International Journal of GEOMATE Pub Date : 2023-08-01 DOI: 10.21660/2023.108.3838

H. Cao

引用次数: 0

SPATIAL MODEL OF FLOOD HAZARD DUE TO LAND COVER CHANGE IN THE TARUSAN WATERSHED, WEST SUMATRA –INDONESIA 印尼苏门答腊岛西部塔鲁桑流域土地覆盖变化导致的洪水灾害空间模型

IF 0.7

International Journal of GEOMATE Pub Date : 2023-08-01 DOI: 10.21660/2023.108.3774

引用次数: 0