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Journal articles on the topic 'Ground characterization'

To see the other types of publications on this topic, follow the link: Ground characterization.

Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Bellissard, Jean, Charles Radin, and Senya Shlosman. "The characterization of ground states." Journal of Physics A: Mathematical and Theoretical 43, no. 30 (June 21, 2010): 305001. http://dx.doi.org/10.1088/1751-8113/43/30/305001.

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2

Gutiérrez González, Vicente, Germán Ramos Ruiz, and Carlos Fernández Bandera. "Ground characterization of building energy models." Energy and Buildings 254 (January 2022): 111565. http://dx.doi.org/10.1016/j.enbuild.2021.111565.

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3

Shen, Jian Yun, Wei Min Lin, Hitoshi Ohmori, and Xi Peng Xu. "Characterization of ELID-Ground Granite Surfaces." Key Engineering Materials 291-292 (August 2005): 127–32. http://dx.doi.org/10.4028/www.scientific.net/kem.291-292.127.

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In the present study, natural granites were ELID ground with metal-resin bonded diamond wheels on a lap-grinding machine to achieve smooth surface. The surface roughness during the grinding process and final glossiness were examined to describe the formation of finely finished granite surfaces. According to the detailed micro-observation of ground surfaces, it can be concluded that natural granite surface on the main mineral components can be smoothly finished with ELID lap grinding. However, the appearance of natural defects and residual fracture on the ground surface lead to the scattered surface roughness, and restrict the improvement of surface glossiness.

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4

Chun, Mark, Richard Wilson, Remy Avila, Tim Butterley, Jose-Luis Aviles, Don Wier, and Sam Benigni. "Mauna Kea ground-layer characterization campaign." Monthly Notices of the Royal Astronomical Society 394, no. 3 (April 11, 2009): 1121–30. http://dx.doi.org/10.1111/j.1365-2966.2008.14346.x.

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5

Good, Chelsea E., Joseph F. Vignola, Aldo A. Glean, John A. Judge, Teresa J. Ryan, Jacob Sunny, and Diego Turo. "Acoustical characterization of grass-covered ground." Journal of the Acoustical Society of America 135, no. 4 (April 2014): 2289. http://dx.doi.org/10.1121/1.4877512.

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6

Somerville, P. G., and R. W. Graves. "Characterization of Earthquake Strong Ground Motion." Pure and Applied Geophysics 160, no. 10-11 (October 1, 2003): 1811–28. http://dx.doi.org/10.1007/s00024-003-2407-z.

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7

Qi, Zhen Liang, Bin Lin, Yan Bin Zhang, Xiao Hu Liang, and Xin Yue Li. "Composite Characterization of Engineering Ceramics Ground Surface." Key Engineering Materials 625 (August 2014): 662–67. http://dx.doi.org/10.4028/www.scientific.net/kem.625.662.

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Traditional methods of roughness characterization cannot properly reflect the characteristics of engineering ceramics surface topography. Therefore, the composite characterization using combined fractal method and wavelet method is introduced in this paper. And they are used to describe the global and local characteristics of engineering ceramics ground surface, respectively. Furthermore, a concept called topography damage ratio is proposed to describe characteristic of the deep wave trough. Finally, 3-D measurement is used to verify this method.

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8

Rezaei, Hamid, and Shahab Sokhansanj. "Physical and thermal characterization of ground bark and ground wood particles." Renewable Energy 129 (December 2018): 583–90. http://dx.doi.org/10.1016/j.renene.2018.06.038.

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9

Cermak, Jan, Marc Schneebeli, Daniela Nowak, Laurent Vuilleumier, and Jörg Bendix. "Characterization of low clouds with satellite and ground-based remote sensing systems." Meteorologische Zeitschrift 15, no. 1 (February 27, 2006): 65–72. http://dx.doi.org/10.1127/0941-2948/2006/0100.

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10

Corbella, I., F. Torres, N. Duffo, M. Martin-Neira, V. Gonzalez-Gambau, A. Camps, and M. Vall-llossera. "On-Ground Characterization of the SMOS Payload." IEEE Transactions on Geoscience and Remote Sensing 47, no. 9 (September 2009): 3123–33. http://dx.doi.org/10.1109/tgrs.2009.2016333.

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11

LIN, Weimin, Jianyun SHEN, Hitoshi OHMORI, and Xipeng XU. "Characterization of Finely ELID Ground Stone Surfaces." Proceedings of The Manufacturing & Machine Tool Conference 2004.5 (2004): 327–28. http://dx.doi.org/10.1299/jsmemmt.2004.5.327.

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12

Hess, H. M., K. Attenborough, and N. W. Heap. "Ground characterization by short‐range propagation measurements." Journal of the Acoustical Society of America 87, no. 5 (May 1990): 1975–86. http://dx.doi.org/10.1121/1.399325.

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13

García, Silvia R., Miguel P. Romo, and Jesús Figueroa-Nazuno. "Characterization of ground motions using recurrence plots." Geofísica Internacional 52, no. 3 (July 2013): 209–27. http://dx.doi.org/10.1016/s0016-7169(13)71473-9.

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14

Fontul, Simona, Eduardo Fortunato, Francesca De Chiara, Rui Burrinha, and Marco Baldeiras. "Railways Track Characterization Using Ground Penetrating Radar." Procedia Engineering 143 (2016): 1193–200. http://dx.doi.org/10.1016/j.proeng.2016.06.120.

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15

LIN, Weimin, Jianyun SHEN, Hitoshi OHMORI, and Xipeng XU. "Characterization of Finely ELID Ground Stone Surfaces." Proceedings of Ibaraki District Conference 2004 (2004): 155–56. http://dx.doi.org/10.1299/jsmeibaraki.2004.155.

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16

Attenborough, Keith. "A note on short‐range ground characterization." Journal of the Acoustical Society of America 95, no. 6 (June 1994): 3103–8. http://dx.doi.org/10.1121/1.410001.

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17

Fookes, P. G., E. M. Lee, and M. Sweeney. "Pipeline route selection and ground characterization, Algeria." Geological Society, London, Engineering Geology Special Publications 18, no. 1 (2001): 115–21. http://dx.doi.org/10.1144/gsl.eng.2001.018.01.17.

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18

Mukherjee, Sushovan, and Vinay K. Gupta. "Wavelet-based characterization of design ground motions." Earthquake Engineering & Structural Dynamics 31, no. 5 (2002): 1173–90. http://dx.doi.org/10.1002/eqe.155.

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19

Alipour, N. A., M. A. Sandıkkaya, and Zeynep Gülerce. "Ground Motion Characterization for Vertical Ground Motions in Turkey—Part 1: V/H Ratio Ground Motion Models." Pure and Applied Geophysics 177, no. 5 (September 30, 2019): 2083–104. http://dx.doi.org/10.1007/s00024-019-02324-y.

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20

Baby, Ajin, and Manish Shrikhande. "Wavelet Packet Characterization of Scenario Earthquake Ground Motions." Journal of Earthquake and Tsunami 11, no. 03 (August 14, 2017): 1750006. http://dx.doi.org/10.1142/s1793431117500063.

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With increased emphasis on performance-based seismic design, the need for appropriate ground motion time histories for use in nonlinear dynamic analyses is felt accutely. However, it is generally not possible to get a suitable recorded time history consistent with the estimated hazard at a specific site. The ground motion prediction models are therefore derived/developed from a statistical analysis of recorded ground motion for a variety of source and site conditions to address this need. Most often, the ground motion prediction models are developed to model the response spectrum amplitudes at a set of natural periods and the ground motion time history, if required, is then generated to be consistent with this predicted response spectrum. These simulated time histories often lack in modeling the wave arrivals and temporal variation in the distribution of energy with respect to frequency. In this paper, we present a wavelet-based ground motion prediction model for directly generating ground motion time history that is consistent with the postulated scenario earthquake at a site.

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21

HASEGAWA, Motoyoshi, and Jiancheng LIU. "Present and Future of Surface Characterization. Characterization of Cut and Ground Surface." Journal of the Japan Society for Precision Engineering 61, no. 11 (1995): 1537–40. http://dx.doi.org/10.2493/jjspe.61.1537.

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22

Kumar, Prabhat, Ashwani Kumar, and Ashok Deota Pandey. "Spectral Characterization of Himalayan Near-Fault Ground Motion." Periodica Polytechnica Civil Engineering 60, no. 2 (2016): 205–15. http://dx.doi.org/10.3311/ppci.7754.

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23

Kostić, Srđan, and Nebojša Vasović. "Characterization of ground oscillations induced by underground mining." Podzemni radovi, no. 40 (2022): 1–14. http://dx.doi.org/10.5937/podrad2240001k.

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We examine ground acceleration during M1.5 and M2.0 seismic events induced by underground mining at Upper Silesian coal basin and Legnica Glogow copper mine, respectively, using methods of nonlinear time series analysis, in order to confirm its stochastic nature. Recorded time series are firstly embedded into the adequate phase space using the mutual information and box-assisted methods. After this, we performed stationarity test, by which we confirmed that the examined ground acceleration belongs to a group of stationary processes. Surrogate data testing is applied then, which resulted in following: (1) horizontal ground acceleration at Legnica Glogow copper mine represents stationary linear stochastic processes with Gaussian inputs, (2) ground acceleration at Upper Silesian coal basin originates from a stationary Gaussian linear process that has been distorted by a monotonic, instantaneous, time-independent non-linear function, (3) vertical ground acceleration at Legnica Glogow copper mine could not be ascribed to any of the examined processes, probably due to high level of instrumental or background noise. Low values of determinism coefficient (c≤0.7), negative values of maximum Lyapunov exponent and quick saturation of neighboring points distance with the increase of embedding dimension indicate the absence of determinism in the observed ground acceleration time series.

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24

Kuriyagawa, Tsunemoto, Nobuhito Yoshihara, Masaru Saeki, and Katsuo Syoji. "Nano-Topography Characterization of Axisymmetrical Aspherical Ground Surfaces." Key Engineering Materials 238-239 (April 2003): 125–30. http://dx.doi.org/10.4028/www.scientific.net/kem.238-239.125.

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25

itha, Kav, B. S. Polisgowdar, and Rubeena Tarranum. "Characterization of Surface Water and Ground Water Reservoirs." International Journal of Current Microbiology and Applied Sciences 9, no. 6 (June 10, 2020): 4070–79. http://dx.doi.org/10.20546/ijcmas.2020.906.476.

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26

Schweickhardt, León, Andreas Tausendfreund, Dirk Stöbener, and Andreas Fischer. "Parametric characterization of ground surfaces with laser speckles." Optics Express 30, no. 8 (March 30, 2022): 12615. http://dx.doi.org/10.1364/oe.454741.

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27

Massarotto, Marinês, Janaina da Silva Crespo, Ademir José Zattera, and Mara Zeni. "Characterization of ground SBR scraps from shoe industry." Materials Research 11, no. 1 (March 2008): 81–84. http://dx.doi.org/10.1590/s1516-14392008000100015.

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28

Yong Xie, Xiaoxiong Xiong, J. J. Qu, Nianzeng Che, and Lingli Wang. "MODIS On-Orbit Spatial Characterization Using Ground Targets." IEEE Transactions on Geoscience and Remote Sensing 46, no. 9 (September 2008): 2666–74. http://dx.doi.org/10.1109/tgrs.2008.917269.

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29

Westover, Tyler L., Manunya Phanphanich, and J. Chadron Ryan. "Comprehensive rheological characterization of chopped and ground switchgrass." Biofuels 6, no. 5-6 (November 2, 2015): 249–60. http://dx.doi.org/10.1080/17597269.2015.1091189.

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30

Guang-Tsai Lei, R. W. Techentin, and B. K. Gilbert. "High-frequency characterization of power/ground-plane structures." IEEE Transactions on Microwave Theory and Techniques 47, no. 5 (May 1999): 562–69. http://dx.doi.org/10.1109/22.763156.

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31

Fernández, J., L. Hermanns, A. Fraile, E. Alarcón, and I. del Rey. "Spectral-analysis-surface-waves-method in ground characterization." Procedia Engineering 10 (2011): 3202–7. http://dx.doi.org/10.1016/j.proeng.2011.04.529.

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32

Serrano, Agostinho, and Sylvio Canuto. "Quest for the ground state characterization of CaC." Chemical Physics Letters 269, no. 3-4 (May 1997): 193–98. http://dx.doi.org/10.1016/s0009-2614(97)00277-7.

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33

Pazniak, Anna, Pavel Bazhin, Nikolay Shplis, Evgeniy Kolesnikov, Igor Shchetinin, Alexander Komissarov, Josef Polcak, Alexander Stolin, and Denis Kuznetsov. "Ti3C2Tx MXene characterization produced from SHS-ground Ti3AlC2." Materials & Design 183 (December 2019): 108143. http://dx.doi.org/10.1016/j.matdes.2019.108143.

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34

Russell, J. K., and M. V. Stasiuk. "Characterization of volcanic deposits with ground-penetrating radar." Bulletin of Volcanology 58, no. 7 (May 7, 1997): 515–27. http://dx.doi.org/10.1007/s004450050159.

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35

Ganopol, Abigail, and Hugo Marraco. "New infrared sensor technology mirror on-ground characterization." Journal of Applied Remote Sensing 8, no. 1 (November 11, 2014): 083522. http://dx.doi.org/10.1117/1.jrs.8.083522.

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36

Moustafa, Abbas, and Izuru Takewaki. "Characterization of earthquake ground motion of multiple sequences." Earthquakes and Structures 3, no. 5 (September 25, 2012): 629–47. http://dx.doi.org/10.12989/eas.2012.3.5.629.

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37

Craig, David W., and James M. Sabatier. "A pulsed level difference technique for ground characterization." Applied Acoustics 44, no. 1 (1995): 1–6. http://dx.doi.org/10.1016/0003-682x(94)p4415-3.

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38

Tezcan, Jale, and Qiang Cheng. "A nonparametric characterization of vertical ground motion effects." Earthquake Engineering & Structural Dynamics 41, no. 3 (February 23, 2012): 515–30. http://dx.doi.org/10.1002/eqe.1142.

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39

Moorman, Brian J., and Frederick A. Michel. "Glacial hydrological system characterization using ground-penetrating radar." Hydrological Processes 14, no. 15 (2000): 2645–67. http://dx.doi.org/10.1002/1099-1085(20001030)14:15<2645::aid-hyp84>3.0.co;2-2.

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40

Pyo, Seongmin, Jung-Woo Baik, Dong-Hyo Lee, and Young-Sik Kim. "Characterization of interdigital stub with defected ground structure." Microwave and Optical Technology Letters 51, no. 5 (March 13, 2009): 1353–56. http://dx.doi.org/10.1002/mop.24331.

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41

Rezaei, Hamid, C. Jim Lim, Anthony Lau, and Shahab Sokhansanj. "Size, shape and flow characterization of ground wood chip and ground wood pellet particles." Powder Technology 301 (November 2016): 737–46. http://dx.doi.org/10.1016/j.powtec.2016.07.016.

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42

Wang, Qiu Yan, Wen Xiang Zhao, Zhi Qiang Liang, Xi Bin Wang, Li Jiao, and Yong Bo Wu. "Research on Fractal Characterization in Grinding of Monocrystal Sapphire." Materials Science Forum 800-801 (July 2014): 186–90. http://dx.doi.org/10.4028/www.scientific.net/msf.800-801.186.

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Monocrystal sapphire ground surfaces obtained by ductile mode and brittle mode are analyzed in this paper. A two dimension (2D) fractal properties of different ground surfaces are calculated and analyzed by a box-counting fractal method. The results show that the fractal dimension (FD) in parallel grinding direction can imply the material removal mode, especially for the surfaces with a similar roughness Ra obtained in different material removal modes. The ground surface obtained in ductile mode has much higher FD in the parallel direction than that in brittle mode. For the surface with high FD in parallel direction, its profile is more exquisite and surface quality is better. For the surface with a small FD in the parallel direction, a deeper crack and more pronounced defects occur. On the other hand, the profile FD distributions can reflect the anisotropic features of monocrystal sapphire ground surfaces. Therefore, the fractal analysis method has the potential to reveal precisely and comprehensively the ground surface characteristics of monocrystal sapphire.

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43

Sanchez-Cuevas, Pedro, Guillermo Heredia, and Anibal Ollero. "Characterization of the Aerodynamic Ground Effect and Its Influence in Multirotor Control." International Journal of Aerospace Engineering 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/1823056.

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This paper analyzes the ground effect in multirotors, that is, the change in the thrust generated by the rotors when flying close to the ground due to the interaction of the rotor airflow with the ground surface. This effect is well known in single-rotor helicopters but has been assumed erroneously to be similar for multirotors in many cases in the literature. In this paper, the ground effect for multirotors is characterized with experimental tests in several cases and the partial ground effect, a situation in which one or some of the rotors of the multirotor (but not all) are under the ground effect, is also characterized. The influence of the different cases of ground effect in multirotor control is then studied with several control approaches in simulation and validated with experiments in a test bench and with outdoor flights.

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44

Brouwer Burg, Marieka, Tawny L. B. Tibbits, and Eleanor Harrison-Buck. "Advances in Geochemical Sourcing of Granite Ground Stone." Advances in Archaeological Practice 9, no. 4 (October 15, 2021): 338–53. http://dx.doi.org/10.1017/aap.2021.26.

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AbstractOften understudied by archaeologists, ground stone tools (GST) were ubiquitous in the ancient Maya world. Their applications ranged from household tools to ceremonial equipment and beyond. Little attention has been focused on chemically sourcing the raw stone material used in GST production, largely because these tools were fashioned out of igneous or sedimentary rock, which can present characterization challenges. And, although portable X-ray fluorescence (pXRF) has been applied widely to source obsidian, the utility of pXRF for geochemically sourcing other kinds of stone remains underexplored. We present a small-scale application of pXRF for determining granite provenance within a section of the Middle Belize Valley in Belize, Central America. Belize is an ideal location to test chemical sourcing studies of granite because there are only three tightly restricted and chemically distinct sources of granite in the country, from which the overwhelming majority of granite for ancient tool production derived. The method described here demonstrates that successful and accurate geological characterizations can be made on granite GST. This cutting-edge sourcing technique has the potential to be more widely applied in other regions to reveal deeper connections between the sources of GST production and sites of consumption across space and through time.

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45

Sitharam, T. G., Naveen James, and Monalisha Nayak. "Dynamic Characterization and Site Response Studies for an Offshore Site Based on Detailed Geotechnical Tests." International Journal of Geotechnical Earthquake Engineering 6, no. 1 (January 2015): 50–80. http://dx.doi.org/10.4018/ijgee.2015010104.

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The uniqueness of this paper is large amount of field test data and in addition laboratory test results on undisturbed soil samples, has been analyzed to capture the effect of local site condition and material properties of overlying soil on seismic ground motion characteristics. This study involves the seismic site characterization and ground response analysis of an offshore site in Western Yemen. From the results of field and laboratory tests, dynamic properties such as shear modulus and damping ratio for a very low to high strain levels was determined and site characterization was also carried out. Using seismic cone penetration test (SCPT) data a new correlation has been developed to predict the shear wave velocity. Synthetic ground motion was generated using Boore's stochastic modeling technique for ground response analysis and peak ground acceleration (PGA) was evaluated and presented in the paper. This paper also presents a site specific design response spectrum based on Eurocode, corresponding to 475 and 2500 year return period.

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46

Davis, Derek, and Marissa Walker. "Detector Characterization and Mitigation of Noise in Ground-Based Gravitational-Wave Interferometers." Galaxies 10, no. 1 (January 14, 2022): 12. http://dx.doi.org/10.3390/galaxies10010012.

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Since the early stages of operation of ground-based gravitational-wave interferometers, careful monitoring of these detectors has been an important component of their successful operation and observations. Characterization of gravitational-wave detectors blends computational and instrumental methods of investigating the detector performance. These efforts focus both on identifying ways to improve detector sensitivity for future observations and understand the non-idealized features in data that has already been recorded. Alongside a focus on the detectors themselves, detector characterization includes careful studies of how astrophysical analyses are affected by different data quality issues. This article presents an overview of the multifaceted aspects of the characterization of interferometric gravitational-wave detectors, including investigations of instrumental performance, characterization of interferometer data quality, and the identification and mitigation of data quality issues that impact analysis of gravitational-wave events. Looking forward, we discuss efforts to adapt current detector characterization methods to meet the changing needs of gravitational-wave astronomy.

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47

Aijazi, A. K., L. Malaterre, L. Trassoudaine, and P. Checchin. "SYSTEMATIC EVALUATION AND CHARACTERIZATION OF 3D SOLID STATE LIDAR SENSORS FOR AUTONOMOUS GROUND VEHICLES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 199–203. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-199-2020.

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Abstract. 3D LiDAR sensors play an important part in several autonomous navigation and perception systems with the technology evolving rapidly over time. This work presents the preliminary evaluation results of a 3D solid state LiDAR sensor. Different aspects of this new type of sensor are studied and their data are characterized for their effective utilization for object detection for the application of Autonomous Ground Vehicles (AGV). The paper provides a set of evaluations to analyze the characterizations and performances of such LiDAR sensors. After characterization of the sensor, the performance is also evaluated in real environment with the sensors mounted on top of a vehicle and used to detect and classify different objects using a state-of-the-art Super-Voxel based method. The 3D point cloud obtained from the sensor is classified into three main object classes “Building”, “Ground” and “Obstacles”. The results evaluated on real data, clearly demonstrate the applicability and suitability of the sensor for such type of applications.

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48

Gülerce, Zeynep, N. A. Alipour, and M. A. Sandikkaya. "Ground Motion Characterization for Vertical Ground Motions in Turkey—Part 2: Vertical Ground Motion Models and the Final Logic Tree." Pure and Applied Geophysics 177, no. 5 (November 6, 2019): 2105–23. http://dx.doi.org/10.1007/s00024-019-02353-7.

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49

Suk, Heejun, and Kang-Kun Lee. "Characterization of a Ground Water Hydrochemical System Through Multivariate Analysis: Clustering into Ground Water Zones." Ground Water 37, no. 3 (May 1999): 358–66. http://dx.doi.org/10.1111/j.1745-6584.1999.tb01112.x.

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50

Aagaard, Brad T., John F. Hall, and Thomas H. Heaton. "Characterization of Near-Source Ground Motions with Earthquake Simulations." Earthquake Spectra 17, no. 2 (May 2001): 177–207. http://dx.doi.org/10.1193/1.1586171.

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We examine the characteristics of long-period near-source ground motions by conducting a sensitivity study with variations in six earthquake source parameters for both a strike-slip fault ( M 7.0-7.1) and a thrust fault ( M 6.6-7.0). The directivity of the ruptures creates large displacement and velocity pulses in the forward direction. The dynamic displacements close to the fault are comparable to the average slip. The ground motions exhibit the greatest sensitivity to the fault depth with moderate sensitivity to the rupture speed, peak slip rate, and average slip. For strike-slip faults and thrust faults with surface rupture, the maximum ground displacements and velocities occur in the region where the near-source factor from the 1997 Uniform Building Code is the largest. However, for a buried thrust fault the peak ground motions can occur up-dip from this region.

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