Abstract The purpose of this study is to assess the effects of cross-section and slenderness on the dynamic response of high-rise buildings constructed on the coarse soil. In this work, the simulation of the wind and soil effects on the high-rise buildings are done numerically using the ABAQUS software. The wind-induced vibration of the building models is studied through Computational Fluid Dynamics (CFD) and Computational Structural Dynamics (CSD). Co-simulation is accepted for the transfer of loads from the fluid to the structural domain. The mechanical response of the soil system is modeled using direct method. Suitable contact elements for slippage and separation modeling between subsurface elements are also considered. Finally, fluid and structural responses are compared in terms of mean and root mean square values with laboratory results on the wide range of reduced velocities. It is concluded that height and cross-section of building affect the vibrational response of the building, and therefore the designer must carefully consider these factors in order to ensure that the design is safe.
{"title":"The Effects of Height and Plan on the Along-Wind Response of Structures Considering Wind-Soil-Structure Interaction","authors":"B. Shirkhanghah, H. E. Kalehsar","doi":"10.2478/jaes-2020-0025","DOIUrl":"https://doi.org/10.2478/jaes-2020-0025","url":null,"abstract":"Abstract The purpose of this study is to assess the effects of cross-section and slenderness on the dynamic response of high-rise buildings constructed on the coarse soil. In this work, the simulation of the wind and soil effects on the high-rise buildings are done numerically using the ABAQUS software. The wind-induced vibration of the building models is studied through Computational Fluid Dynamics (CFD) and Computational Structural Dynamics (CSD). Co-simulation is accepted for the transfer of loads from the fluid to the structural domain. The mechanical response of the soil system is modeled using direct method. Suitable contact elements for slippage and separation modeling between subsurface elements are also considered. Finally, fluid and structural responses are compared in terms of mean and root mean square values with laboratory results on the wide range of reduced velocities. It is concluded that height and cross-section of building affect the vibrational response of the building, and therefore the designer must carefully consider these factors in order to ensure that the design is safe.","PeriodicalId":44808,"journal":{"name":"Journal of Applied Engineering Sciences","volume":"10 1","pages":"173 - 181"},"PeriodicalIF":1.1,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48122391","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}
I. M. Pârvu, Iuliana Adriana Cuibac Picu, P. Dragomir, D. Poli
Abstract When talking about land cover, we need to find a proper way to extract information from aerial or satellite images. In the field of photogrammetry, aerial images are generally acquired by optical sensors that deliver images in four bands (red, green, blue and near-infrared). Recent researches in this field demonstrated that for the image classification process is still place for improvement. From satellites are obtained multispectral images with more bands (e.g. Landsat 7/8 has 36 spectral bands). This paper will present the differences between these two types of images and the classification results using support-vector machine and maximum likelihood classifier. For the aerial and the satellite images we used different sets of classification classes and the two methods mentioned above to highlight the importance of choosing the classes and the classification method.
{"title":"Urban Classification from Aerial and Satellite Images","authors":"I. M. Pârvu, Iuliana Adriana Cuibac Picu, P. Dragomir, D. Poli","doi":"10.2478/jaes-2020-0024","DOIUrl":"https://doi.org/10.2478/jaes-2020-0024","url":null,"abstract":"Abstract When talking about land cover, we need to find a proper way to extract information from aerial or satellite images. In the field of photogrammetry, aerial images are generally acquired by optical sensors that deliver images in four bands (red, green, blue and near-infrared). Recent researches in this field demonstrated that for the image classification process is still place for improvement. From satellites are obtained multispectral images with more bands (e.g. Landsat 7/8 has 36 spectral bands). This paper will present the differences between these two types of images and the classification results using support-vector machine and maximum likelihood classifier. For the aerial and the satellite images we used different sets of classification classes and the two methods mentioned above to highlight the importance of choosing the classes and the classification method.","PeriodicalId":44808,"journal":{"name":"Journal of Applied Engineering Sciences","volume":"10 1","pages":"163 - 172"},"PeriodicalIF":1.1,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44583090","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}
Iuliana Adriana Cuibac Picu, P. Dragomir, R. Peters
Abstract In the last 15 years, mapping technology has become a necessity in smart cities planning. And 2D are starting to be augmented by 3D maps. 3D Maps are already used in the cartographic field, to create a three-dimensional view of the terrain and buildings. In this paper we address the concept of 3D Maps and we compare two methods to generate such maps. In this study two 3D maps were built, one using photogrammetric 3D stereo-restitution and one using automatic extrusion from a LiDAR point cloud and a set of 2D vector polygons. Upon comparison of these maps, we have concluded that the accuracy of the two maps is very similar and it depends very much on the input data and we have observed that creating a precise 3D map in photogrammetric environment takes much longer than the one built using the LiDAR point cloud. As 3D maps become the future of mapping, there is a continuous need for more accurate and complete field data to be collected and processed. Once more detailed field data becomes available, a clear conclusion on which of the methods provide us with a more accurate 3D map could be drawn. The evolution of 3D mapping is rapidly growing together with the applications developed to use it, especially in surveying and material monitoring. The key to future development of smart cities in based on better designs and infrastructures, and 3D mapping technology is a vital instrument to assist such a development.
{"title":"The Future of Mapping – 3D Maps, the Comparison of two of the Most Used Methods in Photogrammetric Field","authors":"Iuliana Adriana Cuibac Picu, P. Dragomir, R. Peters","doi":"10.2478/jaes-2020-0018","DOIUrl":"https://doi.org/10.2478/jaes-2020-0018","url":null,"abstract":"Abstract In the last 15 years, mapping technology has become a necessity in smart cities planning. And 2D are starting to be augmented by 3D maps. 3D Maps are already used in the cartographic field, to create a three-dimensional view of the terrain and buildings. In this paper we address the concept of 3D Maps and we compare two methods to generate such maps. In this study two 3D maps were built, one using photogrammetric 3D stereo-restitution and one using automatic extrusion from a LiDAR point cloud and a set of 2D vector polygons. Upon comparison of these maps, we have concluded that the accuracy of the two maps is very similar and it depends very much on the input data and we have observed that creating a precise 3D map in photogrammetric environment takes much longer than the one built using the LiDAR point cloud. As 3D maps become the future of mapping, there is a continuous need for more accurate and complete field data to be collected and processed. Once more detailed field data becomes available, a clear conclusion on which of the methods provide us with a more accurate 3D map could be drawn. The evolution of 3D mapping is rapidly growing together with the applications developed to use it, especially in surveying and material monitoring. The key to future development of smart cities in based on better designs and infrastructures, and 3D mapping technology is a vital instrument to assist such a development.","PeriodicalId":44808,"journal":{"name":"Journal of Applied Engineering Sciences","volume":"10 1","pages":"119 - 124"},"PeriodicalIF":1.1,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44986528","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}
Abstract The fracture network in hydrocarbon reservoirs plays a major role in reservoir fluid transfer to production wells. Modeling of fracture in fractured reservoir is often done randomly. Modelling is based on image logs and core information. Because the information is available in a small number of wells, the model is not reliable and this problem makes it impossible to predict the correct flow rate and the amount of wells produced. In this study, an algorithm based on primary and secondary data for fracture network modelling in one of the southwest fields of Iran has been presented. The initial data include aperture fracture and fracture density, and secondary data includes petrophysical data, i.e. electrical resistance and resistance logs used to scale-up characteristics of fracture in wells. In this study, we tried to increase the accuracy of modelling by using modelling conditionality on existing and constructed data. Gaussian conditional simulation produces a set of realizations on which non-linear statistics can be readily available. In this way, information was entered into the model in areas where fracture was predicted to exist. Using the turning bands co-simulation method in geostatistic, the fracture characteristics were simulated in wells that were not available. Using the results of the 3D model, the fracture of the reservoir was re-constructed. The results showed that the modelling performed in this study has been able to increase the fracture prediction accuracy and their properties in fracture density by about 9% and in the fracture opening by about 5%.
{"title":"Improvement of Fracture Network Modeling in Fractured Reservoirs Using Conditioning and Geostatistical Method","authors":"S. R. M. Madani, H. Hassani, B. Tokhmechi","doi":"10.2478/jaes-2020-0022","DOIUrl":"https://doi.org/10.2478/jaes-2020-0022","url":null,"abstract":"Abstract The fracture network in hydrocarbon reservoirs plays a major role in reservoir fluid transfer to production wells. Modeling of fracture in fractured reservoir is often done randomly. Modelling is based on image logs and core information. Because the information is available in a small number of wells, the model is not reliable and this problem makes it impossible to predict the correct flow rate and the amount of wells produced. In this study, an algorithm based on primary and secondary data for fracture network modelling in one of the southwest fields of Iran has been presented. The initial data include aperture fracture and fracture density, and secondary data includes petrophysical data, i.e. electrical resistance and resistance logs used to scale-up characteristics of fracture in wells. In this study, we tried to increase the accuracy of modelling by using modelling conditionality on existing and constructed data. Gaussian conditional simulation produces a set of realizations on which non-linear statistics can be readily available. In this way, information was entered into the model in areas where fracture was predicted to exist. Using the turning bands co-simulation method in geostatistic, the fracture characteristics were simulated in wells that were not available. Using the results of the 3D model, the fracture of the reservoir was re-constructed. The results showed that the modelling performed in this study has been able to increase the fracture prediction accuracy and their properties in fracture density by about 9% and in the fracture opening by about 5%.","PeriodicalId":44808,"journal":{"name":"Journal of Applied Engineering Sciences","volume":"10 1","pages":"147 - 154"},"PeriodicalIF":1.1,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47570924","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}
S. Florut, D. Popescu, V. Stoian, D. Dan, T. Nagy-György, V. Todea
Abstract The paper presents the results of experimental investigations and numerical analyses performed on reinforced concrete flat slabs. Two tests were carried out on two flat slab specimens designed without specific shear reinforcement. The present paper deals only with the experimental behaviour and numerical modelling of such slabs, this representing the initial part of a larger study which aims to evaluate the shear capacity of such deficient slabs resulted from faulty design or execution and to identify viable and efficient strengthening solutions. ATENA finite element software package was used to numerically model the behaviour of the specimens. A very good agreement was achieved between the results of experimental investigations and numerical modelling with deviations of 0.2% in terms of maximum load carrying capacity and of 7% in terms of corresponding displacement. The specimens were able to carry loads of more than 950kN, larger than those evaluated using designated Eurocodes, displaying a safety factor of 2.72.
{"title":"Experimentally Validated Numerical Analysis of Reinforced Concrete Slab-Column Connections Subjected to Punching Shear","authors":"S. Florut, D. Popescu, V. Stoian, D. Dan, T. Nagy-György, V. Todea","doi":"10.2478/jaes-2020-0019","DOIUrl":"https://doi.org/10.2478/jaes-2020-0019","url":null,"abstract":"Abstract The paper presents the results of experimental investigations and numerical analyses performed on reinforced concrete flat slabs. Two tests were carried out on two flat slab specimens designed without specific shear reinforcement. The present paper deals only with the experimental behaviour and numerical modelling of such slabs, this representing the initial part of a larger study which aims to evaluate the shear capacity of such deficient slabs resulted from faulty design or execution and to identify viable and efficient strengthening solutions. ATENA finite element software package was used to numerically model the behaviour of the specimens. A very good agreement was achieved between the results of experimental investigations and numerical modelling with deviations of 0.2% in terms of maximum load carrying capacity and of 7% in terms of corresponding displacement. The specimens were able to carry loads of more than 950kN, larger than those evaluated using designated Eurocodes, displaying a safety factor of 2.72.","PeriodicalId":44808,"journal":{"name":"Journal of Applied Engineering Sciences","volume":"10 1","pages":"125 - 132"},"PeriodicalIF":1.1,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47704983","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}
Abstract The paper reports some methods to select the optimal number of neighbors and to use eigenfeatures for aerial point cloud classification. In the literature, the neighborhood selection is performed using different methods. In this paper, we propose an approach that uses the region growing algorithm. The input data is an aerial point cloud, part of the Romanian Dataset from LAKI II Project. To test our approach, we used a small dataset from the city of Marghita, Bihor County. We report the technical background for classification process and all technical details of the workflow used with insight analyses and comparisons. The work was realized within the VOLTA project (VOLTA, 2017), a RISE Marie-Curie action designed to do research and innovation activities among partners and to exchange knowledge, methods and workflows in the geospatial field.
{"title":"Aerial Point Cloud Classification Using an Alternative Approach for the Dynamic Computation of K-Nearest Neighbors","authors":"I. M. Pârvu, E. Özdemir, Fabio Remondino","doi":"10.2478/jaes-2020-0023","DOIUrl":"https://doi.org/10.2478/jaes-2020-0023","url":null,"abstract":"Abstract The paper reports some methods to select the optimal number of neighbors and to use eigenfeatures for aerial point cloud classification. In the literature, the neighborhood selection is performed using different methods. In this paper, we propose an approach that uses the region growing algorithm. The input data is an aerial point cloud, part of the Romanian Dataset from LAKI II Project. To test our approach, we used a small dataset from the city of Marghita, Bihor County. We report the technical background for classification process and all technical details of the workflow used with insight analyses and comparisons. The work was realized within the VOLTA project (VOLTA, 2017), a RISE Marie-Curie action designed to do research and innovation activities among partners and to exchange knowledge, methods and workflows in the geospatial field.","PeriodicalId":44808,"journal":{"name":"Journal of Applied Engineering Sciences","volume":"10 1","pages":"155 - 162"},"PeriodicalIF":1.1,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42827742","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}
F. Pasanisi, S. Grauso, C. Tebano, Mabafokeng Mahahabisa, Muso Raliselo
Abstract Some of the first outcomes of a project aiming at mapping the renewable energy potential in Lesotho are hereby presented. In particular, the present paper deals with the task of the project devoted to produce a digital hydrographic map of Lesotho and an associated geographic database. Different geographical, meteorological and hydrological data were collected in the first steps of the project. The hydrographic network was derived in vector format from a digital elevation model of Lesotho using geoprocessing tools in GIS environment. Results were compared with existing cartography and satellite images. Moreover, a methodology proposed in literature for the assessment of the theoretical maximum hydroelectric producibility at watershed level in Italy was applied to one of the main catchment areas of Lesotho. The activities planned to fulfil the objectives of the project are finally outlined.
{"title":"Producing a Digital Hydrographic Map Aiming at Renewable Energy Potential Mapping of Lesotho","authors":"F. Pasanisi, S. Grauso, C. Tebano, Mabafokeng Mahahabisa, Muso Raliselo","doi":"10.2478/jaes-2020-00010","DOIUrl":"https://doi.org/10.2478/jaes-2020-00010","url":null,"abstract":"Abstract Some of the first outcomes of a project aiming at mapping the renewable energy potential in Lesotho are hereby presented. In particular, the present paper deals with the task of the project devoted to produce a digital hydrographic map of Lesotho and an associated geographic database. Different geographical, meteorological and hydrological data were collected in the first steps of the project. The hydrographic network was derived in vector format from a digital elevation model of Lesotho using geoprocessing tools in GIS environment. Results were compared with existing cartography and satellite images. Moreover, a methodology proposed in literature for the assessment of the theoretical maximum hydroelectric producibility at watershed level in Italy was applied to one of the main catchment areas of Lesotho. The activities planned to fulfil the objectives of the project are finally outlined.","PeriodicalId":44808,"journal":{"name":"Journal of Applied Engineering Sciences","volume":"10 1","pages":"61 - 68"},"PeriodicalIF":1.1,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44305956","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}
Abstract In developing countries like Pakistan, Due to rapid growth and population, an increase in the production of industrial waste is rising significantly day by day. Stabilization of soil using those industrial wastes not only gives proper usage of waste materials but also increases the cost-benefit ratio as a whole. In this research work, an attempt was made to use Ground granulated blast furnace slag (GGBFS) in the stabilization of District Khairpur Mirs’ soil. Generally, while dealing with building construction industry such as foundations for buildings, highways such as subgrades as a foundation and in earthen dams as landfills sometimes there exist naturally occurring unsuitable soils. District Khairpur Mirs’ soil is accounted for the different laboratory tests and the concerned District Khairpur Mirs’ soil found to be relatively unsuitable; therefore, various percentages of ground granulated blast furnace slag were added to make it suitable. To improve the concerned soil different percentages of slag are used, and samples thus formed so for were tested in the laboratory for this research work. Various laboratorial tests like particle size distribution, Atterberg limits, Modified Proctor test, AASHTO soil classification, and CBR test were performed on controlled and stabilized soil samples. The aim of this research study was to examine the influence of ground granulated blast-furnace slag (GGBFS) on the index, Compaction and mechanical strength parameters of natural Khairpur Mirs’ soil. Finally, based on laboratorial tests, it was observed that stabilization of soil by GGBFS made favourable changes on the index, compaction and strength parameters of District Khairpur Mirs’ soil.
{"title":"Influence of Ground Granulated Blast Furnace Slag on the Index, Compaction Parameters and Mechanical Strength of Khairpur Mir’s Natural Soil","authors":"T. A. Rind, H. Karira, S. Mirani, Ali Khan Mari","doi":"10.2478/jaes-2020-0013","DOIUrl":"https://doi.org/10.2478/jaes-2020-0013","url":null,"abstract":"Abstract In developing countries like Pakistan, Due to rapid growth and population, an increase in the production of industrial waste is rising significantly day by day. Stabilization of soil using those industrial wastes not only gives proper usage of waste materials but also increases the cost-benefit ratio as a whole. In this research work, an attempt was made to use Ground granulated blast furnace slag (GGBFS) in the stabilization of District Khairpur Mirs’ soil. Generally, while dealing with building construction industry such as foundations for buildings, highways such as subgrades as a foundation and in earthen dams as landfills sometimes there exist naturally occurring unsuitable soils. District Khairpur Mirs’ soil is accounted for the different laboratory tests and the concerned District Khairpur Mirs’ soil found to be relatively unsuitable; therefore, various percentages of ground granulated blast furnace slag were added to make it suitable. To improve the concerned soil different percentages of slag are used, and samples thus formed so for were tested in the laboratory for this research work. Various laboratorial tests like particle size distribution, Atterberg limits, Modified Proctor test, AASHTO soil classification, and CBR test were performed on controlled and stabilized soil samples. The aim of this research study was to examine the influence of ground granulated blast-furnace slag (GGBFS) on the index, Compaction and mechanical strength parameters of natural Khairpur Mirs’ soil. Finally, based on laboratorial tests, it was observed that stabilization of soil by GGBFS made favourable changes on the index, compaction and strength parameters of District Khairpur Mirs’ soil.","PeriodicalId":44808,"journal":{"name":"Journal of Applied Engineering Sciences","volume":"10 1","pages":"83 - 88"},"PeriodicalIF":1.1,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45874657","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}
G. V. Herman, T. Caciora, D. Ilieș, A. Ilieş, A. Deac, Amalia Sturza, S. M. Sonko, N. Suba, S. Nistor
Abstract Romania, due to its historical background, has many vestigial belongings to the cultural heritage, out of which the most noticeable (by number, age, architecture, symbolism and representation) are the wooden churches. Under these circumstances the role of the current study is to emphasize certain practical aspects (focused on the need to assess, preserve, restore and valorize) regarding the use of modern technology based on photogrammetry and 3D scanning. The case study was represented by the “Saint Martyrs Constantin Brȃncoveanu and His Sons” wooden church from Oradea Municipality, Bihor County, Romania; the edifice being included on the list of historical monuments ever since 2010. The final goal being to create 3D models for both the exterior and interior of the monument for research, restoration in case of need, sharing for education, entertainment, tourism purposes etc.
{"title":"3D Modeling of the Cultural Heritage: Between Opportunity and Necessity","authors":"G. V. Herman, T. Caciora, D. Ilieș, A. Ilieş, A. Deac, Amalia Sturza, S. M. Sonko, N. Suba, S. Nistor","doi":"10.2478/jaes-2020-0005","DOIUrl":"https://doi.org/10.2478/jaes-2020-0005","url":null,"abstract":"Abstract Romania, due to its historical background, has many vestigial belongings to the cultural heritage, out of which the most noticeable (by number, age, architecture, symbolism and representation) are the wooden churches. Under these circumstances the role of the current study is to emphasize certain practical aspects (focused on the need to assess, preserve, restore and valorize) regarding the use of modern technology based on photogrammetry and 3D scanning. The case study was represented by the “Saint Martyrs Constantin Brȃncoveanu and His Sons” wooden church from Oradea Municipality, Bihor County, Romania; the edifice being included on the list of historical monuments ever since 2010. The final goal being to create 3D models for both the exterior and interior of the monument for research, restoration in case of need, sharing for education, entertainment, tourism purposes etc.","PeriodicalId":44808,"journal":{"name":"Journal of Applied Engineering Sciences","volume":"10 1","pages":"27 - 30"},"PeriodicalIF":1.1,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41871459","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}
Abstract Among the important phenomena caused by tunnel excavations, the settlements on the ground surface can be mentioned, which are particularly important for shallow tunnels excavated in urban areas, and especially when passing under residential areas of cities. Numerous methods such as mathematical (numerical and analytical) ones can be used to predict surface settlement. This study was conducted aimed at using modern techniques such as artificial neural networks to analyze the parameters affecting the occurrence of surface settlement during forepoling tunnel excavation. Tabriz Subway project is a good opportunity to examine the effect of forepoling tunnel excavation the surface settlement in a granular soil with average groundwater level offers. None of the performance parameters (such as the features of the forepoling protective umbrella) and the environmental features (such as the geological effects and tunnel geology) establish a unique relationship with the surface settlement, but several factors together do so. In this study, the forpolling tunnel was modeled using Plaxis software and analyzed in various geotechnical conditions (drained, partially saturated and saturated) under static and dynamic loading. Finally, the values of the surface settlements were examined.
{"title":"The Effect of Loading Type on the Amount of Effect of Loading on the Surface Settlement During Forepoling Tunnel Excavation in Different Geotechnical Conditions","authors":"H. Norouzi","doi":"10.2478/jaes-2020-0009","DOIUrl":"https://doi.org/10.2478/jaes-2020-0009","url":null,"abstract":"Abstract Among the important phenomena caused by tunnel excavations, the settlements on the ground surface can be mentioned, which are particularly important for shallow tunnels excavated in urban areas, and especially when passing under residential areas of cities. Numerous methods such as mathematical (numerical and analytical) ones can be used to predict surface settlement. This study was conducted aimed at using modern techniques such as artificial neural networks to analyze the parameters affecting the occurrence of surface settlement during forepoling tunnel excavation. Tabriz Subway project is a good opportunity to examine the effect of forepoling tunnel excavation the surface settlement in a granular soil with average groundwater level offers. None of the performance parameters (such as the features of the forepoling protective umbrella) and the environmental features (such as the geological effects and tunnel geology) establish a unique relationship with the surface settlement, but several factors together do so. In this study, the forpolling tunnel was modeled using Plaxis software and analyzed in various geotechnical conditions (drained, partially saturated and saturated) under static and dynamic loading. Finally, the values of the surface settlements were examined.","PeriodicalId":44808,"journal":{"name":"Journal of Applied Engineering Sciences","volume":"10 1","pages":"55 - 60"},"PeriodicalIF":1.1,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44164626","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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