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Journal articles on the topic 'Geotechnický monitoring (GTM)'

Author: Grafiati

Published: 28 June 2021

Last updated: 18 February 2022

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1

Drusa, M., and J. Vlcek. "Importance of Results Obtained from Geotechnical Monitoring for Evaluation of Reinforced Soil Structure – Case Study." Journal of Applied Engineering Sciences 6, no. 1 (May 1, 2016): 23–27. http://dx.doi.org/10.1515/jaes-2016-0002.

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Abstract In the case of realized geotechnical monitoring (GTM) of reinforced retaining wall in difficult geological conditions is demonstrated the important role at realisation of transport infrastructures, which are often realized in insufficient quality due to inappropriate geotechnical parameters from survey works or not fitted well design of structure at certain conditions. This can result in large deformations of structure, or losing stability or structure life-time is very limited and remediation work is complicated and expensive. There was built on the modernized railway line Bratislava – Trenčín, closed to Zlatovce, overpass and connected road embankments on the route of first class I/61. Structure was designed as a bridge over the railway track before the northern portal of the railway tunnel Turecký vrch was open. A part of the embankment and overpass was a retaining wall reinforced by geosynthetics. The results of the geotechnical monitoring of this wall were afterwards simulated using finite element method (FEM) and results of this comparison are the scope of this article.

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2

Thomson, Patrick, Rob Hope, and Tim Foster. "GSM-enabled remote monitoring of rural handpumps: a proof-of-concept study." Journal of Hydroinformatics 14, no. 4 (May 17, 2012): 829–39. http://dx.doi.org/10.2166/hydro.2012.183.

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The continued expansion of mobile network coverage in rural Africa provides an opportunity for simple and low-cost hydroinformatic innovations to measure and transmit data on handpump use for policy and management improvements. We design, build and test a Waterpoint Data Transmitter to determine its robustness, functionality and scalability. Results demonstrate that this novel application using simple microprocessor, accelerometer and global system for mobile communications (GSM) components has significant potential in recording graduated time-step information flows of lever pumps which can be modelled into a reasonable water volume use approximation. Given the systemic informational deficit for rural waterpoints in Africa, where one in three handpumps is likely to be non-functioning, this innovation has the potential to provide universal, low-cost and immediate data to guide timely maintenance responses and planning decisions, as well as drive greater accountability and transparency in donor and government behaviour.

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3

Fellenius, Bengt H., Sung-Ryul Kim, and Sung-Gyo Chung. "Long-Term Monitoring of Strain in Instrumented Piles." Journal of Geotechnical and Geoenvironmental Engineering 135, no. 11 (November 2009): 1583–95. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0000124.

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4

Utili, S., R. Castellanza, A. Galli, and P. Sentenac. "Novel Approach for Health Monitoring of Earthen Embankments." Journal of Geotechnical and Geoenvironmental Engineering 141, no. 3 (March 2015): 04014111. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0001215.

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5

Li, X. Y., L. M. Zhang, S. H. Jiang, D. Q. Li, and C. B. Zhou. "Assessment of Slope Stability in the Monitoring Parameter Space." Journal of Geotechnical and Geoenvironmental Engineering 142, no. 7 (July 2016): 04016029. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0001490.

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6

Faroqy, A., A. C. D. Royal, G. Curioni, D. N. Chapman, and N. J. Cassidy. "Monitoring Fine-Grain Soil Loading with Time-Domain Reflectometry." Journal of Geotechnical and Geoenvironmental Engineering 146, no. 6 (June 2020): 04020036. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0002253.

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7

Bouazza, Abdelmalek, Hani Nahlawi, and Martin Aylward. "In Situ Temperature Monitoring in an Organic-Waste Landfill Cell." Journal of Geotechnical and Geoenvironmental Engineering 137, no. 12 (December 2011): 1286–89. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0000533.

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8

Mohamad, Hisham, Kenichi Soga, Peter J. Bennett, Robert J. Mair, and Chi Sharn Lim. "Monitoring Twin Tunnel Interaction Using Distributed Optical Fiber Strain Measurements." Journal of Geotechnical and Geoenvironmental Engineering 138, no. 8 (August 2012): 957–67. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0000656.

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9

Su, Miau-Bin, I.-Hui Chen, and Chien-Hsin Liao. "Using TDR Cables and GPS for Landslide Monitoring in High Mountain Area." Journal of Geotechnical and Geoenvironmental Engineering 135, no. 8 (August 2009): 1113–21. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0000074.

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10

Chen, Pan, Ning Lu, Giuseppe Formetta, Jonathan W. Godt, and Alexandra Wayllace. "Tropical Storm-Induced Landslide Potential Using Combined Field Monitoring and Numerical Modeling." Journal of Geotechnical and Geoenvironmental Engineering 144, no. 11 (November 2018): 05018002. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0001969.

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11

Mohamad, Hisham, Kenichi Soga, Adam Pellew, and Peter J. Bennett. "Performance Monitoring of a Secant-Piled Wall Using Distributed Fiber Optic Strain Sensing." Journal of Geotechnical and Geoenvironmental Engineering 137, no. 12 (December 2011): 1236–43. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0000543.

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12

Roh, Yanghoon, Garam Kim, Incheol Kim, Jinoh Kim, Sangseom Jeong, and Junhwan Lee. "Lessons Learned from Field Monitoring of Instrumented Piled-Raft Bearing in Rock Layer." Journal of Geotechnical and Geoenvironmental Engineering 145, no. 8 (August 2019): 05019005. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0002078.

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13

Ramadan, Safwat H., and M. Hesham El Naggar. "Field Monitoring and Numerical Analysis of Large-Span Three-Sided Reinforced Concrete Culvert." Journal of Geotechnical and Geoenvironmental Engineering 147, no. 4 (April 2021): 04021008. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0002489.

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14

Curioni, Giulio, David N. Chapman, Lleyton J. Pring, Alexander C. D. Royal, and Nicole Metje. "Extending TDR Capability for Measuring Soil Density and Water Content for Field Condition Monitoring." Journal of Geotechnical and Geoenvironmental Engineering 144, no. 2 (February 2018): 04017111. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0001792.

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15

Gragnano, Carmine Gerardo, Irene Rocchi, and Guido Gottardi. "Field Monitoring and Laboratory Testing for an Integrated Modeling of River Embankments under Transient Conditions." Journal of Geotechnical and Geoenvironmental Engineering 147, no. 9 (September 2021): 05021006. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0002571.

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16

Okamura, Mitsu, Masaya Takebayashi, Katsuji Nishida, Nao Fujii, Motoharu Jinguji, Takehiko Imasato, Hideaki Yasuhara, and Emiko Nakagawa. "In-Situ Desaturation Test by Air Injection and Its Evaluation through Field Monitoring and Multiphase Flow Simulation." Journal of Geotechnical and Geoenvironmental Engineering 137, no. 7 (July 2011): 643–52. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0000483.

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17

Rivera-Hernandez, Xavier A., Ghada S. Ellithy, and Farshid Vahedifard. "Integrating Field Monitoring and Numerical Modeling to Evaluate Performance of a Levee under Climatic and Tidal Variations." Journal of Geotechnical and Geoenvironmental Engineering 145, no. 10 (October 2019): 05019009. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0002134.

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18

Ceccato, Francesca, Paolo Simonini, and Francesco Zarattini. "Monitoring and Modeling Tidally Induced Pore-Pressure Oscillations in the Soil of St. Mark’s Square in Venice, Italy." Journal of Geotechnical and Geoenvironmental Engineering 147, no. 5 (May 2021): 05021001. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0002474.

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19

Peng, Pingan, Zhengxiang He, and Liguan Wang. "Automatic Classification of Microseismic Signals Based on MFCC and GMM-HMM in Underground Mines." Shock and Vibration 2019 (June 11, 2019): 1–9. http://dx.doi.org/10.1155/2019/5803184.

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In order to mitigate economic and safety risks during mine life, a microseismic monitoring system is installed in a number of underground mines. The basic step for successfully analyzing those microseismic data is the correct detection of various event types, especially the rock mass rupture events. The visual scanning process is a time-consuming task and requires experience. Therefore, here we present a new method for automatic classification of microseismic signals based on the Gaussian Mixture Model-Hidden Markov Model (GMM-HMM) by using only Mel-frequency cepstral coefficient (MFCC) features extracted from the waveform. The detailed implementation of our proposed method is described. The performance of this method is tested by its application to microseismic events selected from the Dongguashan Copper Mine (China). A dataset that contains a representative set of different microseismic events including rock mass rupture, blasting vibration, mechanical drilling, and electromagnetic noise is collected for training and testing. The results show that our proposed method obtains an accuracy of 92.46%, which demonstrates the effectiveness of the method for automatic classification of microseismic data in underground mines.

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20

Nguyen, Liem D., Hong T. Nguyen, Phuong D. N. Dang, Trung Q. Duong, and Loi K. Nguyen. "Design of an automatic hydro-meteorological observation network for a real-time flood warning system: a case study of Vu Gia-Thu Bon river basin, Vietnam." Journal of Hydroinformatics 23, no. 2 (January 5, 2021): 324–39. http://dx.doi.org/10.2166/hydro.2021.124.

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Abstract This paper presents an interdisciplinary approach, along with Vietnam's legal frameworks, to design an automatic hydro-meteorological (HM) observation network for a real-time flood warning system in Vu Gia-Thu Bon (VGTB) river basin, Vietnam. The automatic HM monitoring network consists of weather-proof enclosures containing data loggers, rechargeable batteries, sensors for air temperature, air humidity, solar radiation, wind speed, water level with attached solar panels and mounted upon masts located at fixed ground stations. A total of 20 meteorological stations and five hydrological stations have been built in VGTB river basin. To capture changes in weather and stream flow in the basin, the 5-minute and half-hour recording frequency options were set for meteorological and hydrological variables, respectively. All HM data was transmitted every 30 minutes to the data server at the data processing centre via Global System for Mobile Communications (GSM)/General Packet Radio Service (GPRS) network. These data were then input into hydrological-hydraulic models for inundation simulation in the basin. The results showed that the performance of flood simulation at hourly time step has significantly improved during flood events in September and November 2015. Overall, near-real-time HM data recording from an automatic monitoring network proved beneficial for an flood early warning system.

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21

Li, Yujie, Bin Xu, Dong Wang, QJ Wang, Xiongwei Zheng, Jiliang Xu, Fen Zhou, Huaping Huang, and Yueping Xu. "Deterministic and probabilistic evaluation of raw and post-processing monthly precipitation forecasts: a case study of China." Journal of Hydroinformatics 23, no. 4 (May 11, 2021): 914–34. http://dx.doi.org/10.2166/hydro.2021.176.

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Abstract Monthly Precipitation Forecasts (MPF) play a critical role in drought monitoring, hydrological forecasting and water resources management. In this study, we applied two advanced Machine Learning Models (MLM) and latest General Circulation Models (GCM) to generate deterministic MPFs with a resolution of 0.5° across China. Then the Bayesian Joint Probability (BJP) modeling approach is employed to calibrate and generate corresponding ensemble MPFs. Raw and post-processing MPFs were put against gridded observations over the period of 1981–2015. The results indicated that: (1) for deterministic evaluation, the forecasting performance of MLMs was more inclined to generate random forecasts around the mean value, while the GCMs could reflect the increasing or decreasing trend of precipitation to some degree; (2) for probabilistic evaluation, the four BJP calibrated ensemble MPFs were unbiased and reliable. Compared to climatology, reliability and sharpness were all significantly improved. However, in terms of overall accuracy metric, the ensemble MPFs generated from MLMs were similar to climatology. In contrast, the ensemble MPFs generated from GCMs achieved better forecasting skill and were not dependent on forecasting regions and months. Moreover, the post-processing method is necessary to achieve not only bias-free but also reliable as well as skillful ensemble MPFs.

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22

Nguyen, Liem D., Hong T. Nguyen, Phuong D. N. Dang, Trung Q. Duong, and Loi K. Nguyen. "Design of an automatic hydro-meteorological observation network for real-time flood warning system: a case study of Vu Gia-Thu Bon river basin, Vietnam." Journal of Hydroinformatics, January 5, 2021. http://dx.doi.org/10.2166/hydro.2021.124.

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Abstract This paper presents an interdisciplinary approach, along with Vietnam's legal frameworks, to design an automatic hydro-meteorological (HM) observation network for a real-time flood warning system in Vu Gia-Thu Bon (VGTB) river basin, Vietnam. The automatic HM monitoring network consists of weather-proof enclosures containing data loggers, rechargeable batteries, sensors for air temperature, air humidity, solar radiation, wind speed, water level with attached solar panels and mounted upon masts located at fixed ground stations. A total of 20 meteorological stations and five hydrological stations have been built in VGTB river basin. To capture changes in weather and stream flow in the basin, the 5-minute and half-hour recording frequency options were set for meteorological and hydrological variables, respectively. All HM data was transmitted every 30 minutes to the data server at the data processing centre via Global System for Mobile Communications (GSM)/General Packet Radio Service (GPRS) network. These data were then input into hydrological-hydraulic models for inundation simulation in the basin. The results showed that the performance of flood simulation at hourly time step has significantly improved during flood events in September and November 2015. Overall, near-real-time HM data recording from automatic monitoring network proved beneficial for an flood early warning system.

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23

Puppala, Anand J. "Performance Evaluation of Infrastructure on Problematic Expansive Soils: Characterization Challenges, Innovative Stabilization Designs, and Monitoring Methods." Journal of Geotechnical and Geoenvironmental Engineering 147, no. 8 (August 2021). http://dx.doi.org/10.1061/(asce)gt.1943-5606.0002518.

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