NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM最新文献_第3页

Seismic Modelling for Monitoring of Historical Quay Walls and Detection of Failure Mechanisms 历史码头墙体监测的地震建模及破坏机制检测

NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM Pub Date : 2021-08-29 DOI: 10.3997/2214-4609.202120057

F. Balestrini, D. Draganov, M. Staring, J. Singer, J. Heijmans, P. Karamitopoulos

{"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}

引用次数: 0

An Automatic Surface Wave Analysis Approach for the quasi-3D Vs estimation in engineering applications 工程应用中拟三维v值估算的自动表面波分析方法

NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM Pub Date : 2021-08-29 DOI: 10.3997/2214-4609.202120144

K. Leontarakis, C. Orfanos, G. Apostolopoulos, I. Zevgolis

{"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}

引用次数: 3

Evaluating of a Deep Learning Method for Detecting Exposed Bars From Images 一种深度学习方法对图像曝光条检测的评价

NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202120191

P. Foucher, G. Decor, F. Bock, P. Charbonnier, F. Heitz

引用次数: 0

Distributed fiber optic sensing technologies for underground monitoring 地下监测分布式光纤传感技术

NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202120244

K. Soga

引用次数: 0

DAS dataset analysis for reflection imaging with ambient noise in urban areas: Granada, Spain 城市地区具有环境噪声的反射成像DAS数据集分析:格拉纳达，西班牙

NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202120147

B. Benjumea, B. Gaite, Z. Spica, F. Bohoyo, M. Schimmel, S. Ruiz-Barajas

引用次数: 0

3d Ground Penetrating Radar for Non-Invasive Large-Scale Tank Investigation 三维探地雷达用于非侵入式大型坦克调查

NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202120207

L. G. Netto, V. L. Galli, P. Orlando

引用次数: 0

Robust B-spline surface estimation for tunnel lining modelling and equipment surveying 隧道衬砌建模和设备测量的稳健b样条曲面估计

NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202120189

M. Tual, P. Charbonnier, P. Foucher

引用次数: 1

Deep convolutional neural network for estimation of depth and radius from GPR raw signals 基于深度卷积神经网络的探地雷达原始信号深度和半径估计

NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202120222

R. Jaufer, C. Heinkélé, N. Loubat, D. Guilbert, A. Ihamouten

引用次数: 0

Algorithmic Route Optimization and Risk Reduction of a Norwegian Highway Using Airborne Geophysics197 基于航空地球物理的挪威高速公路路径优化算法与风险降低[j]

NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202120197

M. Hedly, C. Christensen, E. Harrison

引用次数: 1

Overcoming Signal-to-Noise Challenges With Pole-Dipole Resistivity Monitoring at a Hydroelectric Dam Site 水电坝址磁偶极电阻率监测克服信噪挑战

NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM Pub Date : 1900-01-01 DOI: 10.3997/2214-4609.202120204

D. Boulay, K. Butler

引用次数: 0