Pub Date : 2021-08-29DOI: 10.3997/2214-4609.202120057
F. Balestrini, D. Draganov, M. Staring, J. Singer, J. Heijmans, P. Karamitopoulos
Summary Monitoring of historic quay walls is key for the early identification of damages that can lead to the failure and collapse of these structures. Currently used methodologies focus on the detection of deformations by high-resolution mapping of the surface of the constructions. Since the collapse of historic quay walls is usually a consequence of internal failure, we analyse the feasibility of utilising seismic methods for imaging the inner structure of quay walls to assess their current state. For this work, we propose to deploy seismic equipment in the water of the canal from a sailing boat to assess and monitor the construction in land. We perform numerical modelling to simulate data for possible scenarios with different acquisition configurations. Our results suggest that seismic methods are practical and viable for the assessment and monitoring of historical quay walls. We show that the overall structure can be imaged, and potential failure mechanism can be promptly identified. Information about the shallow soil structure can also be retrieved. We expect that this method can help the detection of failure mechanisms at an early stage.
{"title":"Seismic Modelling for Monitoring of Historical Quay Walls and Detection of Failure Mechanisms","authors":"F. Balestrini, D. Draganov, M. Staring, J. Singer, J. Heijmans, P. Karamitopoulos","doi":"10.3997/2214-4609.202120057","DOIUrl":"https://doi.org/10.3997/2214-4609.202120057","url":null,"abstract":"Summary Monitoring of historic quay walls is key for the early identification of damages that can lead to the failure and collapse of these structures. Currently used methodologies focus on the detection of deformations by high-resolution mapping of the surface of the constructions. Since the collapse of historic quay walls is usually a consequence of internal failure, we analyse the feasibility of utilising seismic methods for imaging the inner structure of quay walls to assess their current state. For this work, we propose to deploy seismic equipment in the water of the canal from a sailing boat to assess and monitor the construction in land. We perform numerical modelling to simulate data for possible scenarios with different acquisition configurations. Our results suggest that seismic methods are practical and viable for the assessment and monitoring of historical quay walls. We show that the overall structure can be imaged, and potential failure mechanism can be promptly identified. Information about the shallow soil structure can also be retrieved. We expect that this method can help the detection of failure mechanisms at an early stage.","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"90 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":"116589266","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: 10.3997/2214-4609.202120144
K. Leontarakis, C. Orfanos, G. Apostolopoulos, I. Zevgolis
Summary The importance of shear-wave velocity as a characterization parameter in geotechnical standards is great, since it is related to the elastic shear modulus and can be directly measured by geophysical methods. In this study, a well-adapted methodology to geotechnical investigations is proposed, in order to achieve the automatic frequency-dependent mapping of the Rayleigh waves group and phase velocity, throughout an active seismic network. The newly created Common-Mid-Point (CMP) Cross-Correlation (CC) analysis technique is based on partitioning the different wave propagation directions, weighting the CCs' frequency-time analysis around one wavelength and stacking the CMP frequency-velocity dispersion images. Then, virtual travel-times for all possible receiver pairs are generated from the azimuth-dependent results of the specific analysis and are inverted in a frequency-dependent tomographic framework. The proposed technique is put forward for the assessment of subsurface condition in a noisy urban area near the centre of Athens, in Greece. The major challenge has not to do only with the very difficult acquisition conditions of seismic data in respect to signal to noise ratio (S/N), but also with the effort to reveal the subsurface formation and its geotechnical properties, even under an existing building.
{"title":"An Automatic Surface Wave Analysis Approach for the quasi-3D Vs estimation in engineering applications","authors":"K. Leontarakis, C. Orfanos, G. Apostolopoulos, I. Zevgolis","doi":"10.3997/2214-4609.202120144","DOIUrl":"https://doi.org/10.3997/2214-4609.202120144","url":null,"abstract":"Summary The importance of shear-wave velocity as a characterization parameter in geotechnical standards is great, since it is related to the elastic shear modulus and can be directly measured by geophysical methods. In this study, a well-adapted methodology to geotechnical investigations is proposed, in order to achieve the automatic frequency-dependent mapping of the Rayleigh waves group and phase velocity, throughout an active seismic network. The newly created Common-Mid-Point (CMP) Cross-Correlation (CC) analysis technique is based on partitioning the different wave propagation directions, weighting the CCs' frequency-time analysis around one wavelength and stacking the CMP frequency-velocity dispersion images. Then, virtual travel-times for all possible receiver pairs are generated from the azimuth-dependent results of the specific analysis and are inverted in a frequency-dependent tomographic framework. The proposed technique is put forward for the assessment of subsurface condition in a noisy urban area near the centre of Athens, in Greece. The major challenge has not to do only with the very difficult acquisition conditions of seismic data in respect to signal to noise ratio (S/N), but also with the effort to reveal the subsurface formation and its geotechnical properties, even under an existing building.","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"6 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":"127604383","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 : 1900-01-01DOI: 10.3997/2214-4609.202120191
P. Foucher, G. Decor, F. Bock, P. Charbonnier, F. Heitz
{"title":"Evaluating of a Deep Learning Method for Detecting Exposed Bars From Images","authors":"P. Foucher, G. Decor, F. Bock, P. Charbonnier, F. Heitz","doi":"10.3997/2214-4609.202120191","DOIUrl":"https://doi.org/10.3997/2214-4609.202120191","url":null,"abstract":"","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116788718","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 : 1900-01-01DOI: 10.3997/2214-4609.202120147
B. Benjumea, B. Gaite, Z. Spica, F. Bohoyo, M. Schimmel, S. Ruiz-Barajas
{"title":"DAS dataset analysis for reflection imaging with ambient noise in urban areas: Granada, Spain","authors":"B. Benjumea, B. Gaite, Z. Spica, F. Bohoyo, M. Schimmel, S. Ruiz-Barajas","doi":"10.3997/2214-4609.202120147","DOIUrl":"https://doi.org/10.3997/2214-4609.202120147","url":null,"abstract":"","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"104 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114176398","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 : 1900-01-01DOI: 10.3997/2214-4609.202120207
L. G. Netto, V. L. Galli, P. Orlando
{"title":"3d Ground Penetrating Radar for Non-Invasive Large-Scale Tank Investigation","authors":"L. G. Netto, V. L. Galli, P. Orlando","doi":"10.3997/2214-4609.202120207","DOIUrl":"https://doi.org/10.3997/2214-4609.202120207","url":null,"abstract":"","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121359853","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 : 1900-01-01DOI: 10.3997/2214-4609.202120189
M. Tual, P. Charbonnier, P. Foucher
{"title":"Robust B-spline surface estimation for tunnel lining modelling and equipment surveying","authors":"M. Tual, P. Charbonnier, P. Foucher","doi":"10.3997/2214-4609.202120189","DOIUrl":"https://doi.org/10.3997/2214-4609.202120189","url":null,"abstract":"","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130424134","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 : 1900-01-01DOI: 10.3997/2214-4609.202120222
R. Jaufer, C. Heinkélé, N. Loubat, D. Guilbert, A. Ihamouten
{"title":"Deep convolutional neural network for estimation of depth and radius from GPR raw signals","authors":"R. Jaufer, C. Heinkélé, N. Loubat, D. Guilbert, A. Ihamouten","doi":"10.3997/2214-4609.202120222","DOIUrl":"https://doi.org/10.3997/2214-4609.202120222","url":null,"abstract":"","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134378451","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 : 1900-01-01DOI: 10.3997/2214-4609.202120197
M. Hedly, C. Christensen, E. Harrison
{"title":"Algorithmic Route Optimization and Risk Reduction of a Norwegian Highway Using Airborne Geophysics197","authors":"M. Hedly, C. Christensen, E. Harrison","doi":"10.3997/2214-4609.202120197","DOIUrl":"https://doi.org/10.3997/2214-4609.202120197","url":null,"abstract":"","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124058293","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 : 1900-01-01DOI: 10.3997/2214-4609.202120204
D. Boulay, K. Butler
{"title":"Overcoming Signal-to-Noise Challenges With Pole-Dipole Resistivity Monitoring at a Hydroelectric Dam Site","authors":"D. Boulay, K. Butler","doi":"10.3997/2214-4609.202120204","DOIUrl":"https://doi.org/10.3997/2214-4609.202120204","url":null,"abstract":"","PeriodicalId":418930,"journal":{"name":"NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130631493","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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