Pub Date : 2021-08-29DOI: 10.3997/2214-4609.202120094
A. Dobrovolskiy, K. Linkevičs
Summary The idea of using UAV (unmanned area vehicles, drones) to carry appropriate sensors to locate underground objects and utilities seems obvious. However, industry players lack strong experience and knowledge about the capabilities of airborne sensors, or information about the limitations of sensors combining with UAV. Another important point is the methodological aspects of airborne sensors application — how to plan UAV flights, data processing, expected precision of localization, etc. To fill the gaps, we at SPH Engineering built a test range with buried utilities (pipes) of different diameter, material and depth, as well as other objects, and conducted extensive tests of different available sensors over known targets.
{"title":"Test Range For UAV-Based Geophysical Sensors","authors":"A. Dobrovolskiy, K. Linkevičs","doi":"10.3997/2214-4609.202120094","DOIUrl":"https://doi.org/10.3997/2214-4609.202120094","url":null,"abstract":"Summary The idea of using UAV (unmanned area vehicles, drones) to carry appropriate sensors to locate underground objects and utilities seems obvious. However, industry players lack strong experience and knowledge about the capabilities of airborne sensors, or information about the limitations of sensors combining with UAV. Another important point is the methodological aspects of airborne sensors application — how to plan UAV flights, data processing, expected precision of localization, etc. To fill the gaps, we at SPH Engineering built a test range with buried utilities (pipes) of different diameter, material and depth, as well as other objects, and conducted extensive tests of different available sensors over known targets.","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132543280","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 : 2021-08-29DOI: 10.3997/2214-4609.202120081
M. Svensson, O. Friberg
Summary In any project careful data management is one of the core issues, certainly in long on-going projects. In projects trying to understand the contamination situation the number of different datasets is often large and of many different data types. On a former gasworks facility in a railway yard, in Bracke in Sweden, many different methods were used, aiming at understanding the spread of primarily tar and PAH contaminants. Some of the methods were geotechnical sounding and sampling, chemical laboratory tests and DCIP. From the start a BIM methodology was chosen to ensure good order of the data also in the longer perspective. The GeoBIM tool was used for data management and for visualization of both data and geomodels using only a web browser, allowing all involved stakeholders to get access to the same information. For allowing not only visual joint interpretation but also automated and advanced comparisons and analyses of the whole data set all data was classified in the CoClass system. CoClass is a hierarchical system allowing computers to sort and analyze data according to a standardized system. The BIM approach applying CoClass on the data managed by the GeoBIM concept clearly improved the ability of analyzing the data.
{"title":"Optimized joint interpretation of many different datasets using BIM methodology combining CoClass and GeoBIM","authors":"M. Svensson, O. Friberg","doi":"10.3997/2214-4609.202120081","DOIUrl":"https://doi.org/10.3997/2214-4609.202120081","url":null,"abstract":"Summary In any project careful data management is one of the core issues, certainly in long on-going projects. In projects trying to understand the contamination situation the number of different datasets is often large and of many different data types. On a former gasworks facility in a railway yard, in Bracke in Sweden, many different methods were used, aiming at understanding the spread of primarily tar and PAH contaminants. Some of the methods were geotechnical sounding and sampling, chemical laboratory tests and DCIP. From the start a BIM methodology was chosen to ensure good order of the data also in the longer perspective. The GeoBIM tool was used for data management and for visualization of both data and geomodels using only a web browser, allowing all involved stakeholders to get access to the same information. For allowing not only visual joint interpretation but also automated and advanced comparisons and analyses of the whole data set all data was classified in the CoClass system. CoClass is a hierarchical system allowing computers to sort and analyze data according to a standardized system. The BIM approach applying CoClass on the data managed by the GeoBIM concept clearly improved the ability of analyzing the data.","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126425451","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 : 2021-08-29DOI: 10.3997/2214-4609.202120085
A. Verweerd, W. Andrews, J. Eason
Summary A case study about a geophysical investigation on the rockface of a railway cutting in Wales (UK). A fissure was observed at the surface above the cutting, with the risk of collapse of the rockface on the railway line. A standard ERT and GPR survey was executed, interpreted in a novel way by incorporating full 3D topographic data capture and visualization. The resulting dataset was interpreted to assess the depth of the fissure and associated risk of collapse which will be used in development of a remediation scheme of the site to allow normal railway operations to resume.
{"title":"Geophysical investigation of failure on a railway cutting","authors":"A. Verweerd, W. Andrews, J. Eason","doi":"10.3997/2214-4609.202120085","DOIUrl":"https://doi.org/10.3997/2214-4609.202120085","url":null,"abstract":"Summary A case study about a geophysical investigation on the rockface of a railway cutting in Wales (UK). A fissure was observed at the surface above the cutting, with the risk of collapse of the rockface on the railway line. A standard ERT and GPR survey was executed, interpreted in a novel way by incorporating full 3D topographic data capture and visualization. The resulting dataset was interpreted to assess the depth of the fissure and associated risk of collapse which will be used in development of a remediation scheme of the site to allow normal railway operations to resume.","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126730238","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 : 2021-08-29DOI: 10.3997/2214-4609.202120012
J. Eason, A. Verweerd, W. Andrews
Summary We present a case study of a runway construction assessment utilizing ground penetrating radar, heavy weight deflectometry and intrusive data for a proposed horizontal launch spaceport in the United Kingdom. The presentation will showcase an integrated approach of non-destructive and intrusive elements on an existing runway to assess planned use and potential requirements for upgrade the existing infrastructure for new purposes.
{"title":"GPR and NDT Surveys on a Proposed UK Spaceport Runway","authors":"J. Eason, A. Verweerd, W. Andrews","doi":"10.3997/2214-4609.202120012","DOIUrl":"https://doi.org/10.3997/2214-4609.202120012","url":null,"abstract":"Summary We present a case study of a runway construction assessment utilizing ground penetrating radar, heavy weight deflectometry and intrusive data for a proposed horizontal launch spaceport in the United Kingdom. The presentation will showcase an integrated approach of non-destructive and intrusive elements on an existing runway to assess planned use and potential requirements for upgrade the existing infrastructure for new purposes.","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122855518","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 : 2021-08-29DOI: 10.3997/2214-4609.202120077
J. Chambers, P. Meldrum, P. Wilkinson, D. Gunn, A. Watlet, B. Dashwood, J. Whiteley, H. Harrison, R. Swift, C. Inauen, O. Kuras, G. Jessamy, S. Glendinning, P. Clarkson, C. Minto, A. Godfrey, R. Crickmore
Summary Here we consider the development and use of geophysical remote-condition-monitoring (RCM) solutions for monitoring slope stability, which have the advantage of providing spatial and volumetric subsurface information with the potential to identify the causal processes leading to slope failure. We illustrate geophysical RCM of transportation infrastructure and third party land, with examples from highways and rail, and with reference to the Hollin Hill Landslide Observatory (HHLO), which has been used to trial candidate technologies, to show the benefit of integrated geophysical-geotechnical monitoring approaches.
{"title":"Geophysical Remote Condition Monitoring of Transportation Infrastructure Slopes","authors":"J. Chambers, P. Meldrum, P. Wilkinson, D. Gunn, A. Watlet, B. Dashwood, J. Whiteley, H. Harrison, R. Swift, C. Inauen, O. Kuras, G. Jessamy, S. Glendinning, P. Clarkson, C. Minto, A. Godfrey, R. Crickmore","doi":"10.3997/2214-4609.202120077","DOIUrl":"https://doi.org/10.3997/2214-4609.202120077","url":null,"abstract":"Summary Here we consider the development and use of geophysical remote-condition-monitoring (RCM) solutions for monitoring slope stability, which have the advantage of providing spatial and volumetric subsurface information with the potential to identify the causal processes leading to slope failure. We illustrate geophysical RCM of transportation infrastructure and third party land, with examples from highways and rail, and with reference to the Hollin Hill Landslide Observatory (HHLO), which has been used to trial candidate technologies, to show the benefit of integrated geophysical-geotechnical monitoring approaches.","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126593098","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 : 2021-08-29DOI: 10.3997/2214-4609.202120102
N. Tragni, G. Calamita, L. Lastilla, V. Belloni, R. Ravanelli, M. Lupo, V. Salvia, M. Gallipoli
Summary In the Smart Cities perspective, the digital archiving of all geological, geotechnical, geophysical and engineering data of cities should become a useful tool to plan strategies for seismic risk mitigation in terms of urban planning, seismic retrofitting, and management of post-earthquake crises. The CLARA WebGIS geodatabase, developed and released in the framework of CLARA project (CLoud plAtform and smart underground imaging for natural Risk Assessment) move toward this way; it contains 488 georeferenced and downloadable surveys (such as Downholes, Mechanical Surveys, Salcarenite Sampling Stations, MASW, HVNSR, Seismic Refraction Surveys), the geological and geomorphological maps and map of homogeneous microzones from a seismic response perspective and 215 new single-station seismic ambient noise measurements carried out on urban soils and buildings. CLARA WebGIS is the first publicly available database reporting for the whole urban area the spatial distribution of the soil resonance frequencies and the vibrational frequency of the overlying 4043 buildings, along with the probability of soil-building resonance occurrence. All data are accessible, visualizing, querying and downloadable at this link: https://smartcities-matera-clara.imaa.cnr.it/
{"title":"Sharing Geophysical Data for Seismic Characterization of the Matera (Southern Italy) Urban Area","authors":"N. Tragni, G. Calamita, L. Lastilla, V. Belloni, R. Ravanelli, M. Lupo, V. Salvia, M. Gallipoli","doi":"10.3997/2214-4609.202120102","DOIUrl":"https://doi.org/10.3997/2214-4609.202120102","url":null,"abstract":"Summary In the Smart Cities perspective, the digital archiving of all geological, geotechnical, geophysical and engineering data of cities should become a useful tool to plan strategies for seismic risk mitigation in terms of urban planning, seismic retrofitting, and management of post-earthquake crises. The CLARA WebGIS geodatabase, developed and released in the framework of CLARA project (CLoud plAtform and smart underground imaging for natural Risk Assessment) move toward this way; it contains 488 georeferenced and downloadable surveys (such as Downholes, Mechanical Surveys, Salcarenite Sampling Stations, MASW, HVNSR, Seismic Refraction Surveys), the geological and geomorphological maps and map of homogeneous microzones from a seismic response perspective and 215 new single-station seismic ambient noise measurements carried out on urban soils and buildings. CLARA WebGIS is the first publicly available database reporting for the whole urban area the spatial distribution of the soil resonance frequencies and the vibrational frequency of the overlying 4043 buildings, along with the probability of soil-building resonance occurrence. All data are accessible, visualizing, querying and downloadable at this link: https://smartcities-matera-clara.imaa.cnr.it/","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132950561","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 : 2021-08-29DOI: 10.3997/2214-4609.202120032
A. Sendrós, A. Casas, C. Abancó, L. Rivero, R. García‐Artigas, A. Urruela, R. Lovera, M. Himi
Summary Road networks suffer significant structural damage caused by a variety of reasons amplified if the underlying geology induces cracks or deformations. The most common procedure to obtain information from the interior layers of the infrastructure is drilling holes in the road. However, these diagnostic tools are destructive, expensive and slow. Ground Penetration Radar (GPR) brings considerable advantages for the detection of pathologies in inner layers of the road, such as cracks in the wearing course, buried holes and settlement problems providing high-quality images of the radar signal in the interior of the structures. The objectives of the research were to carry out a study with the GPR technique of degraded road pavements to delineate the lateral and depth extent of the cracks and to identify the most problematic areas of the 1 km studied segment. The use of the GPR methods in Pont de Suert site (Spain) have provided an accurate road conditions assessment and differentiate areas with very clear anomalies, that were not visible from the surface, which can serve as a guide for the road managers to intervene before the collapse due to dissolution of gypsums sediments would occur
由于各种原因，道路网络遭受严重的结构破坏，如果下伏地质引起裂缝或变形，则会放大。从基础设施的内层获取信息的最常见程序是在道路上钻孔。然而，这些诊断工具是破坏性的，昂贵的和缓慢的。探地雷达(Ground penetrating Radar, GPR)在检测道路内层病害(如磨损过程中的裂缝、埋孔和沉降问题)方面具有相当大的优势，可以提供高质量的雷达信号在结构内部的图像。该研究的目的是利用探地雷达技术对退化的路面进行研究，以描绘裂缝的横向和深度范围，并确定1公里研究段中问题最严重的区域。在Pont de Suert遗址(西班牙)使用探地雷达方法提供了准确的道路状况评估，并区分了非常明显的异常区域，这些异常区域从表面上看不出来，这可以作为道路管理人员在石膏沉积物溶解导致坍塌发生之前进行干预的指导
{"title":"High-resolution assessment of road basement using ground-penetrating radar (GPR)","authors":"A. Sendrós, A. Casas, C. Abancó, L. Rivero, R. García‐Artigas, A. Urruela, R. Lovera, M. Himi","doi":"10.3997/2214-4609.202120032","DOIUrl":"https://doi.org/10.3997/2214-4609.202120032","url":null,"abstract":"Summary Road networks suffer significant structural damage caused by a variety of reasons amplified if the underlying geology induces cracks or deformations. The most common procedure to obtain information from the interior layers of the infrastructure is drilling holes in the road. However, these diagnostic tools are destructive, expensive and slow. Ground Penetration Radar (GPR) brings considerable advantages for the detection of pathologies in inner layers of the road, such as cracks in the wearing course, buried holes and settlement problems providing high-quality images of the radar signal in the interior of the structures. The objectives of the research were to carry out a study with the GPR technique of degraded road pavements to delineate the lateral and depth extent of the cracks and to identify the most problematic areas of the 1 km studied segment. The use of the GPR methods in Pont de Suert site (Spain) have provided an accurate road conditions assessment and differentiate areas with very clear anomalies, that were not visible from the surface, which can serve as a guide for the road managers to intervene before the collapse due to dissolution of gypsums sediments would occur","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117207879","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 : 2021-08-29DOI: 10.3997/2214-4609.202120043
G. Apostolopoulos, S. Karizonis, G. Amolochitis, D. Karaiskos
Summary A geophysical survey was carried out for the detection of anthropogenic constructions under the floor of an old silo of planes made in 1938 in the area of the Old Airport of Elliniko in the frame of its preservation works. GPR and FEM measurements gave GPR sections, 3D presentation of processed GPR data and in-phase component maps that detected various anthropogenic features and information for the foundation of the building.
{"title":"Geophysical survey in the frame of preservation works for an old silo of planes","authors":"G. Apostolopoulos, S. Karizonis, G. Amolochitis, D. Karaiskos","doi":"10.3997/2214-4609.202120043","DOIUrl":"https://doi.org/10.3997/2214-4609.202120043","url":null,"abstract":"Summary A geophysical survey was carried out for the detection of anthropogenic constructions under the floor of an old silo of planes made in 1938 in the area of the Old Airport of Elliniko in the frame of its preservation works. GPR and FEM measurements gave GPR sections, 3D presentation of processed GPR data and in-phase component maps that detected various anthropogenic features and information for the foundation of the building.","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132650731","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 : 2021-08-29DOI: 10.3997/2214-4609.202120128
M. Papadopoulou, C. Colombero, M. Staring, J. Singer, R. Eddies, M. Fliedner, F. Janod, V. Socco
Summary Fast methods for site characterization and imaging of potentially problematic zones, such as voids and discontinuities, are valuable in geotechnical engineering, to manage risks and meet business objectives. We present a nearly real-time screening tool which uses seismic surface-wave attributes (phase velocity and energy) to produce quantitative indication of lithological variations and other shallow targets. We present the results from an engineering experiment and compare them with a priori information on the site.
{"title":"Fast Near-Surface Investigation With Surface-Wave Attributes","authors":"M. Papadopoulou, C. Colombero, M. Staring, J. Singer, R. Eddies, M. Fliedner, F. Janod, V. Socco","doi":"10.3997/2214-4609.202120128","DOIUrl":"https://doi.org/10.3997/2214-4609.202120128","url":null,"abstract":"Summary Fast methods for site characterization and imaging of potentially problematic zones, such as voids and discontinuities, are valuable in geotechnical engineering, to manage risks and meet business objectives. We present a nearly real-time screening tool which uses seismic surface-wave attributes (phase velocity and energy) to produce quantitative indication of lithological variations and other shallow targets. We present the results from an engineering experiment and compare them with a priori information on the site.","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115524267","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 : 2021-08-29DOI: 10.3997/2214-4609.202120040
G. Andreoli, A. Ihamouten, C. Fauchard, R. Jaufer, Shreedhar Savant Todkar, D. Guilbert, V. Buliuk, X. Dérobert
Summary Face to an increasing traffic volumes, a poor adhesion between bitumen layers combined with weather conditions can lead to premature deterioration of pavement structures. Therefore, it is essential to resort a tack coat where the wearing course and the binder course connect, so that they work as a monolithic block. The purpose of this study, carried out by using gprMax software, is to identify a thin millimetric subsurface tack coat from a modelled bilayer of bitumen and to differentiate the signals according to the modifications of some parameters like thickness, permittivity and conductivity. The so generated large database of time signals with diverse geometric and dielectric characteristics will enable to classify the datas by a supervised machine learning method namely, Support Vector Machines (SVM). Among existing methods, the algorithm of Two-Class SVM (TCSVM) allows to split the datas in two distinct classes. One data set is described as the “adhered” class, and another as the “non adhered” class. The supervised machine learning is conducted with a resolution by global approach to use the raw data set, without any pre-processing. Finally, the binary classification appears then as a promising method to identify clearly and automatically the presence of a tack coat.
{"title":"Numerical modeling using gprMax to identify a subsurface tack coat for SVM classification","authors":"G. Andreoli, A. Ihamouten, C. Fauchard, R. Jaufer, Shreedhar Savant Todkar, D. Guilbert, V. Buliuk, X. Dérobert","doi":"10.3997/2214-4609.202120040","DOIUrl":"https://doi.org/10.3997/2214-4609.202120040","url":null,"abstract":"Summary Face to an increasing traffic volumes, a poor adhesion between bitumen layers combined with weather conditions can lead to premature deterioration of pavement structures. Therefore, it is essential to resort a tack coat where the wearing course and the binder course connect, so that they work as a monolithic block. The purpose of this study, carried out by using gprMax software, is to identify a thin millimetric subsurface tack coat from a modelled bilayer of bitumen and to differentiate the signals according to the modifications of some parameters like thickness, permittivity and conductivity. The so generated large database of time signals with diverse geometric and dielectric characteristics will enable to classify the datas by a supervised machine learning method namely, Support Vector Machines (SVM). Among existing methods, the algorithm of Two-Class SVM (TCSVM) allows to split the datas in two distinct classes. One data set is described as the “adhered” class, and another as the “non adhered” class. The supervised machine learning is conducted with a resolution by global approach to use the raw data set, without any pre-processing. Finally, the binary classification appears then as a promising method to identify clearly and automatically the presence of a tack coat.","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122169675","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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