Structural Deformation Monitoring and Analysis of Highway Bridge Using Accurate Geodetic Techniques

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Engineering

ISSN Print: 1947-3931
ISSN Online: 1947-394X
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"Structural Deformation Monitoring and Analysis of Highway Bridge Using Accurate Geodetic Techniques"
written by Ashraf Abd El-Wanis Beshr,
published by Engineering, Vol.7 No.8, 2015

has been cited by the following article(s):

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[7]	Proceedings of the 4th International Conference on Sustainability in Civil Engineering Lecture Notes in Civil Engineering, 2024 DOI:10.1007/978-981-99-2345-8_69

[8]	Topographic Monitoring of the Operational Behaviour of the Longest Cantilever Viaduct in Romania IOP Conference Series: Materials Science and Engineering, 2024 DOI:10.1088/1757-899X/1304/1/012022

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[10]	Integration, harmonization, and processing of geomatic data for bridge health assessment: the Lastra a Signa case study Applied Geomatics, 2023 DOI:10.1007/s12518-023-00510-1

[11]	Contribution Factor Analysis of the Wuhan Yangtze River Bridge Deformation Using Sentinel-1A SAR Imagery and In Situ Data Applied Sciences, 2023 DOI:10.3390/app132111955

[12]	Analysis of Overpass Displacements Due to Subway Construction Land Subsidence Using Machine Learning Urban Science, 2023 DOI:10.3390/urbansci7040100

[13]	Reference Point-Free Measurement of Bridge Dynamic Deflection by Fusing Hydraulic Leveling and Accelerometer Signals Structural Control and Health Monitoring, 2023 DOI:10.1155/2023/3203261

[14]	Scientific methodology for compiling a dam passport during its life cycle based on engineering surveying and geodetic monitoring Construction and Architecture, 2023 DOI:10.29039/2308-0191-2022-11-1-8-8

[15]	Integration, harmonization, and processing of geomatic data for bridge health assessment: the Lastra a Signa case study Applied Geomatics, 2023 DOI:10.1007/s12518-023-00510-1

[16]	Structural Assessment Based on Vibration Measurement Test Combined with an Artificial Neural Network for the Steel Truss Bridge Applied Sciences, 2023 DOI:10.3390/app13137484

[17]	METHODOLOGY FOR MONITORING DAMS DURING THEIR LIFE CYCLE IN THE REPUBLIC OF IRAQ BASED ON DIGITAL METHODS OF ENGINEERING SURVEYS AND INFORMATION MODELING Construction and Architecture, 2022 DOI:10.29039/2308-0191-2022-10-2-111-115

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[22]	Monitoring and Analysis of Seaport Piers Structural Elements Displacements MAPAN, 2021 DOI:10.1007/s12647-021-00438-0

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[24]	Comparison of Non-Destructive Techniques for Technological Bridge Deflection Testing Materials, 2020 DOI:10.3390/ma13081908

[25]	A Case Study on the Noncontact Inventory of the Oldest European Cast-iron Bridge Using Terrestrial Laser Scanning and Photogrammetric Techniques Remote Sensing, 2020 DOI:10.3390/rs12172745

[26]	Comparison of Non-Destructive Techniques for Technological Bridge Deflection Testing Materials, 2020 DOI:10.3390/ma13081908

[27]	A Case Study on the Noncontact Inventory of the Oldest European Cast-iron Bridge Using Terrestrial Laser Scanning and Photogrammetric Techniques Remote Sensing, 2020 DOI:10.3390/rs12172745

[28]	A bridge-tailored multi-temporal DInSAR approach for remote exploration of deformation characteristics and mechanisms of complexly structured bridges ISPRS Journal of Photogrammetry and Remote Sensing, 2019 DOI:10.1016/j.isprsjprs.2019.08.003

[29]	Experimental Vibration Analysis for Civil Structures Lecture Notes in Civil Engineering, 2018 DOI:10.1007/978-3-319-67443-8_28

[30]	Mapping s urface d eformation and t hermal d ilation of a rch b ridges by s tructure- d riven m ulti- t emporal DInSAR a nalysis Remote Sensing of Environment, 2018 DOI:10.1016/j.rse.2018.06.032

[31]	Outlier based selection and accuracy updating of digital elevation models for urban area projects African Journal of Environmental Science and Technology, 2018 DOI:10.5897/AJEST2018.2519

[32]	Hybrid measurement techniques used to a study of historic cast iron suspension bridge IOP Conference Series: Materials Science and Engineering, 2018 DOI:10.1088/1757-899X/419/1/012013

[33]	Analysis of multiyear deformation processes in engineering structures based on the data from an automatic monitoring system 2018 DOI:10.1063/1.5084380

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