Готові списки джерел за темами / Strain estimation

Добірка наукової літератури з теми "Strain estimation"

Автор: Grafiati
Опубліковано: 19 червня 2021
Оновлено: 18 лютого 2022

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  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій
  6. Звіти організацій

Статті в журналах з теми "Strain estimation":

1

Alam, S. Kaisar. "Novel Spline-Based Approach for Robust Strain Estimation in Elastography." Ultrasonic Imaging 32, no. 2 (April 2010): 91–102. http://dx.doi.org/10.1177/016173461003200203.

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Robust strain estimation is important in elastography. However, a high signal-to-noise ratio ( SNR) and contrast-to-noise ratio ( CNR) are sometimes attained by sacrificing resolution. We propose a least-squares-based smoothing-spline strain estimator that can produce elastograms with high SNR and CNR without significant loss of resolution. The proposed method improves strain-estimation quality by deemphasing displacements with lower correlation in computing strains. Results from finite-element simulation and phantom-experiment data demonstrate that the described strain estimator provides good SNR and CNR without degrading resolution.
2

Peng, Hui, Juhong Tie, and Dequan Guo. "An Iterative Axial and Lateral Ultrasound Strain Estimator Using Subband Division." Journal of Medical Imaging and Health Informatics 10, no. 5 (May 1, 2020): 1057–68. http://dx.doi.org/10.1166/jmihi.2020.3024.

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Conventional ultrasound strain imaging usually only calculates the axial strain. Although axial strain is the main component of two dimensional strain field, lateral displacement and strain estimation can provide additional information of human mechanical properties. Shear strain and Poisson’s ratio can be estimated by using lateral strain estimation technique. Low lateral sampling rate and decorrelation noise of lateral radio frequency (RF) signal caused by axial displacement motion increase the difficulty of lateral strain estimation. Subband division technique is to divide a broadband signal into several narrowband signals. In this paper, the application of subband division technique in axial and lateral strain estimation is studied, and an iterative method for estimating axial and lateral strains is proposed based on subband technique. The subband division of this method is carried out along the axial direction, so that the bandwidth of the lateral subband signal is maintained and the quality of the lateral sub strain image is not reduced. In this paper, the number of subbands is three; the compounded lateral strain image is obtained by superimposing these sub strain images on the average. In each iteration, the temporal stretching technique is used to align the axial and lateral RF signals by using the axial and lateral displacement estimation information, which reduces the decorrelation noise of the RF signals. The length of temporal stretching window decreases with the number of iterations, so as to gradually improve the accuracy of temporal stretching. The phase zero algorithm is used to estimate the axial and lateral displacements. The effectiveness of this method is tested by simulations. The simulation results show that the elastographic signal-to-noise ratio (SNRe) of lateral strain image is increased by about 50%, the elastographic contrast noise ratio (CNRe) of lateral strain image is increased by about 120%, the SNRe of axial strain image is increased by about 4%, the CNRe of axial strain image is increased by 8%, and the signal-to-noise ratio of Poisson’s ratio image is increased by about 40%.
3

Srinivasan, S., F. Kallel, R. Souchon, and J. Ophir. "Analysis of an Adaptive Strain Estimation Technique in Elastography." Ultrasonic Imaging 24, no. 2 (April 2002): 109–18. http://dx.doi.org/10.1177/016173460202400204.

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Elastography is based on the estimation of strain due to tissue compression or expansion. Conventional elastography involves computing strain as the gradient of the displacement (time-delay) estimates between gated pre- and postcompression signals. Uniform temporal stretching of the postcompression signals has been used to reduce the echo-signal decorrelation noise. However, a uniform stretch of the entire postcompression signal is not optimal in the presence of strain contrast in the tissue and could result in loss of contrast in the elastogram. This has prompted the use of local adaptive stretching techniques. Several adaptive strain estimation techniques using wavelets, local stretching and iterative strain estimation have been proposed. Yet, a quantitative analysis of the improvement in quality of the strain estimates over conventional strain estimation techniques has not been reported. We propose a two-stage adaptive strain estimation technique and perform a quantitative comparison with the conventional strain estimation techniques in elastography. In this technique, initial displacement and strain estimates using global stretching are computed, filtered and then used to locally shift and stretch the postcompression signal. This is followed by a correlation of the shifted and stretched postcompression signal with the precompression signal to estimate the local displacements and hence the local strains. As proof of principle, this adaptive stretching technique was tested using simulated and experimental data.
4

KAMAYA, Masayuki. "Stress-strain Curve Estimation Procedure for Large Strain Including Post-necking Strain." JOURNAL OF THE JAPAN WELDING SOCIETY 88, no. 8 (2019): 621–23. http://dx.doi.org/10.2207/jjws.88.621.

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5

Matsuzaki, Ryosuke, Naoki Hiraoka, Akira Todoroki, and Yoshihiro Mizutani. "OS08-2-5 Applied Load Estimation from Surface Strain for Intelligent Tire." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2011.10 (2011): _OS08–2–5—. http://dx.doi.org/10.1299/jsmeatem.2011.10._os08-2-5-.

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6

Ghiasi, Y., and V. Nafisi. "Strain estimation using ordinary Kriging interpolation." Survey Review 48, no. 350 (April 15, 2016): 361–66. http://dx.doi.org/10.1080/00396265.2015.1116155.

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7

Bae, Unmin, and Yongmin Kim. "Angular strain estimation method for elastography." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 54, no. 12 (December 2007): 2653–61. http://dx.doi.org/10.1109/tuffc.2007.594.

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8

Lisle, Richard J. "Strain estimation from flattened buckle folds." Journal of Structural Geology 14, no. 3 (March 1992): 369–71. http://dx.doi.org/10.1016/0191-8141(92)90093-c.

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9

Peters, K. A., and K. A. Busch. "Strain estimation for external event loads." Nuclear Engineering and Design 96, no. 2-3 (October 1986): 437–40. http://dx.doi.org/10.1016/0029-5493(86)90281-5.

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10

Jang, Hye-Lim, Dae-Hyun Han, Mun-Young Hwang, Donghoon Kang, and Lae-Hyong Kang. "Displacement, Strain and Failure Estimation for Multi-Material Structure Using the Displacement-Strain Transformation Matrix." Materials 13, no. 1 (January 2, 2020): 190. http://dx.doi.org/10.3390/ma13010190.

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In this study, we propose a method to estimate structural deformation and failure by using displacement-strain transformation matrices, i.e., strain-to-displacement transformation (SDT) and displacement-to-strain transformation (DST). The proposed SDT method can be used to estimate the complete structural deformation where it is not possible to apply deformation measurement sensors, and the DST method can be used for to estimate structural failures where strain and stress sensors cannot be applied. We applied the SDT matrix to a 1D beam, a 2D plate, rotating structures and real wind turbine blades, and successfully estimated the deformation in the structures. However, certain difficulties were encountered while estimating the displacement of brittle material such as an alumina beam. The study aims at estimating the displacement and stress to predict the failure of the structure. We also explored applying the method to multi-material structures such as a two-beam bonded structure. In the study, we used alumina–aluminum bonded structures because alumina is bonded to the substrate to protect the structure from heat in many cases. Finally, we present the results of the displacement and failure estimation for the alumina–aluminum structure.
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Статті в журналах Дисертації

Дисертації з теми "Strain estimation":

1

Hoyt, Kenneth Leon Forsberg Flemming. "Spectral strain estimation techniques for tissue elasticity imaging /." Philadelphia, Pa. : Drexel University, 2005. http://dspace.library.drexel.edu/handle/1860/504.

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2

Coleman, Craig S. "Strain-based displacement estimation for precision spacecraft structures." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Dec%5FColeman.pdf.

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Thesis (M.S. in Astronautical Engineering)--Naval Postgraduate School, December 2005.
Thesis Advisor(s): Brij N. Agrawal, Donald Walters. Includes bibliographical references (p. 33-34). Also available online.
3

Rydén, Alex, and Mattias Langsér. "Data-driven Strain Sensor Modelling in Mining Applications : Artificial strain sensors for material fatigue estimation." Thesis, Linköpings universitet, Fordonssystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176682.

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When boring machines are used, large loads are exerted on their structure. The load cycles cause material fatigue on the boring machine structure. If the material fatigue can be estimated in real-time, maintenance can be planned more efficiently and the effect of different types of usage can be evaluated. Because of the many advantages of knowing the material fatigue, the goal of this thesis is to develop a model to predict the strain of a boring machine structure and then derive an estimate of the material fatigue caused by the strain. To do this several approaches using machine learning techniques are evaluated. The input signals were selected using both coherence analysis and mutual information. It was found that linear models outperform the tested non-linear model structures, and that non-linear mechanical connections cause difficulties. The signals to be modelled contained high frequency components that were not present in the available input signals. The results show that given favorable sensor positions, an estimate of the material fatigue can be made with sufficient accuracy when using a noise model and noise realization to cover the non-existent high frequency components.
4

Brekken, Reidar. "Ultrasound-based Estimation of Strain in Abdominal Aortic Aneurysm." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for sirkulasjon og bildediagnostikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19999.

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Abdominal aortic aneurysm (AAA) is a vascular disease resulting in a permanent local dilatation of the abdominal aorta. Different studies estimate the prevalence of AAA to 1.3-8.9% of men and 1.0-2.2% of women over 60 years of age. Risk factors include smoking, hypertension, high serum cholesterol, diabetes, and family history. The weakening of the wall and altered wall stress associated with aneurysm formation and progression may eventually lead to aneurysm rupture, which causes haemorrhage and severe blood loss and is associated with very high mortality. AAA is responsible for 1.3% of deaths among men aged 65-85 in developed countries. Elective repair of asymptomatic AAA is recommended when the risk of rupture is estimated to exceed the risk associated with repair. Currently, best clinical practice is to recommend repair when the maximum diameter of the aneurysm exceeds 50-55 mm or increases rapidly. This is a population-based criterion, meaning that in average, an aneurysm with diameter exceeding this criterion is more likely to rupture than to experience complications with repair. Individually, however, some aneurysms rupture before 50 mm, while several aneurysms larger than 55 mm are still intact. More patient-specific information about the state of the individual aneurysm is therefore warranted. In this PhD thesis I have developed and investigated concepts and methods for ultrasound based strain estimation in AAA. The physiological motivation is that progression of aneurysm is associated with altered wall tissue composition, which leads to altered elastic properties, and altered wall stress (geometry and flow conditions). The underlying hypothesis is that it may be possible to detect and quantify this alteration from dynamic ultrasound images, and through that predict further progression. We have developed a method for estimation of cyclic circumferential strain from 2D ultrasound. The method relies on the user to define the wall in an ultrasound image, and then automatically tracks a number of points in the wall over the cardiac cycle based on correlation between frames. The relative change in distance between neighboring points are used as a measure for strain estimation. Inhomogeneous strain values were found along the circumference of the aneurysms, suggesting that additional information could be obtained compared to using diameter alone. The method was further used for investigating strain in aneurysms before and after endovascular aortic repair (EVAR) in ten patients. Since insertion of a stentgraft reduces the load imposed on the wall, a successful EVAR should result in reduced strain. The results showed a clear reduction, which means that the expected reduction was indeed detectable using our method. The study included a limited patient material, and it remains to investigate if the strain values can be used for predicting clinical outcome after EVAR. Because only a limited part of the aneurysm can be imaged in each cross-sectional view, we demonstrated a method for visualizing the circumferential strain from several image planes together in a 3D model using navigation technology. The 3D model may enhance interpretation of results by relating circumferential strain from several parts of the aneurysm to a 3D geometry. This is also an important step towards integration with wall stress simulations for adding more patient specific information. Abdominal images may have relatively low signal to noise ratios, which will negatively influence the performance of the correlation based tracking method. Before larger clinical trials are initiated, it is therefore important to investigate the quality of the strain estimates obtained by the method. We developed a simulation model, for simulation of wall motion due to a time-varying blood pressure, and for simulation of ultrasound images including speckle, direction dependent reflection and absorption. The simulation model is an important part of future evaluation and tuning of the strain method. Further refinement includes implementation of the processing method on an ultrasound scanner for real-time data analysis, which would benefit workflow and make it easier to find the most relevant image planes during investigation. Also, strain estimation from real-time 3D ultrasound is interesting for evaluating several strain components. Finally, clinical trials must be implemented for further investigating potential correlation between strain and clinically relevant parameters, including formation, growth and rupture of AAA.
5

Vijayaraghavan, Rajesh. "Statistical estimation of strain energy release rate of delaminated composites." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4965.

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Thesis (M.S.)--West Virginia University, 2006.
Title from document title page. Document formatted into pages; contains xv, 133 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 126-133).
6

Andersson, Mark Sven-Erik. "Spatially filtering strain sensors for structural shape estimation of intelligent structures." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/49899.

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7

Martineau, Adin Douglas. "Estimation of Knee Kinematics Using Non-Monotonic Nanocomposite High-Deflection Strain Gauges." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/7037.

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Human knee kinematics, especially during gait, are an important analysis tool. The current "gold standard" for kinematics measurement is a multi-camera, marker-based motion capture system with 3D position tracking. These systems are accurate but expensive and their use is limited to a confined laboratory environment. High deflection strain gauges (HDSG) are a novel class of sensors that have the potential to measure kinematics and can be inexpensive, low profile, and are not limited to measurements within a calibrated volume. However, many HDSG sensors can have a non-linear and non-monotonic response. This thesis explores using a nanocomposite HDSG sensor system for measuring knee kinematics in walking gait and overcoming the non-monotonic sensor response found in HDSGs through advanced modeling techniques. Nanocomposite HDSG sensors were placed across the knee joint in nine subjects during walking gait at three speeds and three inclines. The piezoresistive response of the sensors was obtained by including the sensors in a simple electrical circuit and recorded using a low-cost microcontroller. The voltage response from the system was used in four models. The first two models included a physics-based log-normal model and statistical functional data analysis model that estimated continuous knee angles. The third model was a discrete linear regression model that estimated the inflection points on the knee flexion/extension cycle. Finally, a machine learning approach helped to predict subject speed and incline of the walking surface. The models showed the sensor has the capability to provide knee kinematic data to a degree of accuracy comparable to similar kinematic sensors. The log-normal model had a 0.45 r-squared and was unsuitable as a stand-alone continuous angle predictor. After running a 10-fold cross validation the functional data analysis (FDA) model had an overall RMSE of 3.4° and could be used to predict the entire knee flexion/extension angle cycle. The discrete linear regression model predicted the inflection points on the knee kinematics graph during each gait cycle with an average RMSE of 1.92° for angle measures and 0.0332 seconds for time measures. In every estimate, the discrete linear regression model performed better than the FDA model at those points. The 10-fold cross validation of the machine learning approach using the discrete voltages could predict the categorical incline 90% of the time and the RMSE for the speed model was 0.23 MPH. The use of a HDSG as a knee kinematics sensor was shown as a viable alternative to existing motion capture technology. In future work, it is recommended that a calibration method be developed that would allow this sensor to be used independent of a motion capture system. With these advancements, this inexpensive and low profile HDSG will advance understanding of human gait and kinematics in a more affordable and scope enhancing way.
8

Sinangil, Mehmet Selcuk. "Estimation of crystal size and inhomogeneous strain in polymers using single peak analysis." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/19096.

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9

Liu, Shimin. "ESTIMATION OF DIFFERENT COAL COMPRESSIBILITIES OF COALBED METHANE RESERVOIRS UNDER REPLICATED IN SITU CONDITION." OpenSIUC, 2012. https://opensiuc.lib.siu.edu/dissertations/481.

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Studies completed recently have shown that desorption of methane results in a change in the matrix volume of coal thus altering the permeability of, and production rates from, coalbed methane (CBM) reservoirs. An accurate estimation of different coal compressibilities is, therefore, critical in CBM operations in order to model and project gas production rates. Furthermore, a comprehensive knowledge of the dynamic permeability helps in understanding the unique feature of CBM production, an initial negative gas decline rate. In this study, different coal compressibility models were developed based on the assumption that the deformation of a depleting coalbed is limited to the vertical direction, that is, the reservoir is under uniaxial strain conditions. Simultaneously, experimental work was carried out replicating these conditions. The results showed that the matrix volumetric strain typically follows the Langmuir-type relationship. The agreement between the experimental results and those obtained using the proposed model was good. The proposed volumetric strain model successfully isolated the sorption-induced strain from the strain resulting from mechanical compression. It, therefore, provides a technique to integrate the sorption-induced strain alone into different analytical permeability models. The permeability variation of coal with a decrease in pore pressure under replicated in situ stress/strain conditions was measured. The results showed that decreasing pore pressure resulted in a significant decrease in horizontal stress and increased permeability. The permeability increased non-linearly with decreasing pore pressure, with a small increase in the high pressure range, increasing progressively as the pressure dropped below a certain value. The experimental results were also used to test the proposed coupled sorption-induced strain model and several analytical permeability models. One of the commonly used models overestimated the permeability increase between 200 and 900 psi. The other two models were able to predict the permeability trend with constant cleat compressibility although the values used for the two models were different. Finally, the coupled strain and permeability models were employed to validate the field observed permeability increase data. The results indicated that the coupled models can predict the permeability trend with accuracy as long as the input parameters used are reasonable. The technique can thus serve as a particularly powerful tool for new CBM regions with limited production data since it only requires the basic adsorption data and mechanical properties and both are typically available. However, the physical meaning of the cleat compressibility term used in the permeability models needs to be clarified to ensure that its effect is not counted twice.
10

Almuslmani, Bandar Saleh. "Estimation of Arabian rigid plate motion and strain rate accumulation within the Arabian plate using GPS measurements." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/30920/.

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The Arabian plate is classified as medium sized. It is surrounded by the Nubian, Somalian, Eurasian and Indian plates. Previous investigations of present-day kinematics of the Arabian plate using GPS measurements were primarily obtained from stations located on surrounding plates, with few stations actually located on the Arabian plate itself. Due to the inhomogeneous distribution of these GPS stations and the fact that some of these were actually located in the plate boundary zone, the motion of Arabia was only sensed in a few locations of the rigid plate interior. Through the establishment of GPS networks in Saudi Arabia, the aim of this study was to compute an updated estimate for the absolute and relative motion of the Arabian plate Euler pole and rotation rate. Then to investigate, at the regional scale, the strain rate accumulation within the Arabian plate. Then, to investigate, at a local scale, the strain rate accumulation in the tectonically active south-western part of Saudi Arabia. The results of this study are on absolute motion model for the Arabian plate which is significantly different from those obtained in previous studies, as a result of the number of stations used and their distribution. This does not mean that the previous studies were in error, but that they suffered from a lack of evenly distributed geodetic data for Arabia. Hence, this study result is a new contribution to the knowledge of Arabian plate motion. The results of this study for the relative motion model of the Arabian plate with respect to the Eurasian, Nubian and Somalian plates confirms the results from previous studies, and confirms that the Arabian plate motion is slowing down. This study has also shown that, in general, the strain values are low in most of the Arabian plate, where there is a compression in the north-east to south-west directions and an extension in the north-west to south-east direction, except in two areas, the north-west, close to the Aqaba Gulf and the Dead Sea fault, and the southwest where there are high strain values and variable directions for the principle strain. Furthermore, this study agrees with geologic studies in that there is a compression north-east to south-west and extension north-west to south-east between Farasan Island and the coast of the Red Sea.
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Книги з теми "Strain estimation":

1

Berkovits, Avraham. Estimation of high temperature low cycle fatigue on the basis of inelastic strain and strainrate. [Washington, DC] : National Aeronautics and Space Administration: For sale by the National Technical Information Service, 1986.

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2

Nichols, Jonathan Michael. Modeling and estimation of structural damage. Chichester, UK: John Wiley & Sons, 2016.

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3

A, Levy David. Hydroacoustic estimation of sockeye salmon abundance and distribution in the Strait of Georgia, 1986. Vancouver, B.C: Pacific Salmon Commission, 1991.

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4

Lévy, David. Hydroacoustic estimation of sockeye salmon abundance and distribution in the Strait of Georgia, 1986. Vancouver, B.C: Pacific Salmon Commission, 1991.

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5

J, Taylor. Urban housing needs among Aborigines and Torres Strait Islanders: Options for estimation in a statistically rare population. [Sydney]: Ian Buchan Fell Research Centre, Faculty of Architecture, University of Sydney, 1993.

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6

Picquelle, Susan J. A method of estimating spawning biomass from egg surveys with an application to walleye pollock, Theragra chalcogramma, in Shelikof Strait, Alaska. Seattle, WA: Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 1991.

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7

United States. National Aeronautics and Space Administration., ed. Estimation of high temperature low cycle fatigue on the basis of inelastic strain and strainrate. [Washington, DC] : National Aeronautics and Space Administration: For sale by the National Technical Information Service, 1986.

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8

Galderisi, Maurizio, and Sergio Mondillo. Assessment of diastolic function. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0009.

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Modern assessment of left ventricular (LV) diastolic function should be based on the estimation of degree of LV filling pressure (LVFP), which is the true determinant of symptoms/signs and prognosis in heart failure.In order to achieve this goal, standard Doppler assessment of mitral inflow pattern (E/A ratio, deceleration time, isovolumic relaxation time) should be combined with additional manoeuvres and/or ultrasound tools such as: ◆ Valsalva manoeuvre applied to mitral inflow pattern. ◆ Pulmonary venous flow pattern. ◆ Velocity flow propagation by colour M-mode. ◆ Pulsed wave tissue Doppler of mitral annuls (average of septal and lateral E′ velocity).In intermediate doubtful situations, the two-dimensional determination of left atrial (LA) volume can be diagnostic, since LA enlargement is associated with a chronic increase of LVFP in the absence of mitral valve disease and atrial fibrillation.Some new echocardiographic technologies, such as the speckle tracking-derived LV longitudinal strain and LV torsion, LA strain, and even the three-dimensional determination of LA volumes can be potentially useful to add further information. In particular, the reduction of LV longitudinal strain in patients with LV diastolic dysfunction and normal ejection fraction demonstrates that a subclinical impairment of LV systolic function already exists under these circumstances.
9

Heap, Graham Stewart. Geometric estimation of strains in car body panels. 1988.

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10

Murphy, Kevin D., and Jonathan M. Nichols. Modeling and Estimation of Structural Damage. Wiley & Sons, Incorporated, John, 2015.

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Частини книг з теми "Strain estimation":

1

Bauman, Judson T. "Fatigue Life Estimation." In Fatigue, Stress, and Strain of Rubber Components, 135–41. München: Carl Hanser Verlag GmbH & Co. KG, 2008. http://dx.doi.org/10.3139/9783446433403.010.

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2

Loges, I., and A. Niemunis. "Neohypoplasticity—Estimation of Small Strain Stiffness." In Holistic Simulation of Geotechnical Installation Processes, 163–80. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18170-7_9.

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3

Ji, Songbai, Xiaoyao Fan, David W. Roberts, and Keith D. Paulsen. "Cortical Surface Strain Estimation Using Stereovision." In Lecture Notes in Computer Science, 412–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23623-5_52.

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4

Yates, J. R. "Strain life fatigue estimation of automotive component." In Problems of Fracture Mechanics and Fatigue, 413–18. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-2774-7_87.

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5

Witt, Bryan, Dan Rohe, and Tyler Schoenherr. "Full-Field Strain Shape Estimation from 3D SLDV." In Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6, 31–45. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12935-4_4.

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6

Dai, Y. Z., and F. P. Chiang. "Application of Scattering Theory to Plastic Strain Estimation." In Nondestructive Characterization of Materials IV, 283–91. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-0670-0_34.

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7

Maurice, R. L., and M. Bertrand. "Tissue Strain Estimation Using a Lagrangian Speckle Model." In Acoustical Imaging, 113–17. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4419-8588-0_18.

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8

Łodygowski, Tomasz, and Wojciech Sumelka. "Computer estimation of plastic strain localization and failure for large strain rates using viscoplasticity." In Constitutive Relations under Impact Loadings, 209–44. Vienna: Springer Vienna, 2014. http://dx.doi.org/10.1007/978-3-7091-1768-2_5.

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9

Choi, Soo-Mi, and Yong-Guk Kim. "Similarity Estimation of 3D Shapes Using Modal Strain Energy." In Lecture Notes in Computer Science, 206–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553939_30.

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10

Traphöner, Heinrich, Till Clausmeyer, and A. Erman Tekkaya. "Estimation and Prevention of Strain Localization in Shear Tests." In Forming the Future, 691–707. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75381-8_57.

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Тези доповідей конференцій з теми "Strain estimation":

1

Idzenga, T., W. Vermin, E. Gaburov, J. Menssen, and C. L. de Korte. "Parallelizing strain estimation." In 2012 IEEE International Ultrasonics Symposium. IEEE, 2012. http://dx.doi.org/10.1109/ultsym.2012.0645.

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2

Duncan, James, Ping Yan, Yun Zhu, Albert Sinusas, Congxian Jia, and Matthew Donnell. "LV STRAIN ESTIMATION FROM 4D ECHOCARDIOGRAPHY." In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, 2007. http://dx.doi.org/10.1109/isbi.2007.356947.

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3

Dai, YuZhong, and Fu-Pen Chiang. "Estimation of plastic strain by fractal." In San Dieg - DL Tentative, edited by Chander P. Grover. SPIE, 1991. http://dx.doi.org/10.1117/12.51126.

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4

Sekouri, El Mostafa, Yan-Ru Hu, and Ahn Dung Ngo. "Strain-Based Shape Estimation for Annular Plates." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79190.

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Large flexible structures are used in many space applications, for example, satellite communication antennae, space robotic systems, and space station, etc. The flexibility of these large space structures results in problems of structure shape deformation and vibration, etc. In recent years, active shape control is developed to improve the performance of these flexible space structures. However, it is difficult to measure the surface shape of large flexible space structures in space environment. In this paper, a shape estimation method was developed to determine deflection of annular structures under arbitrary loading and boundary conditions. The shape estimation method utilizes strain information from strain gage sensors mounted on the structure. The strain field is calculated using polar components of stress in terms of Airy’s stress function. The coefficients of each function are determined based on the relationship of strain, displacement, and strain compatibility. The strain field is constructed by least squares smoothing procedure. This shape estimation method was verified by the numerical method, finite element and the experimental results. The results show that the shape estimation method can be used to determine deformation shape of the annular plate for active shape control of flexible structures.
5

Tallman, T. N. "Strain Estimation From Conductivity Changes in Piezoresistive Nanocomposites." In ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/smasis2016-9012.

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Carbon nanofiller-modified composites have incredible potential for self-sensing and structural health monitoring (SHM) because they are piezoresistive. That is, the electrical conductivity of a nanocomposite is inherently coupled with mechanical perturbations such as damage and strain. Because of the correspondence of strain and damage with conductivity changes, non-invasive conductivity imaging techniques such as electrical impedance tomography (EIT) can enable unprecedented insight into the mechanical state of a nanofiller-modified composite. Furthermore, because of the potential of nanocomposites for self-sensing and SHM, considerable effort has been dedicated to studying the effect of strain on nanocomposite conductivity. That is, these efforts seek to determine the change in conductivity of a nanocomposite for a prescribed strain. However, from a SHM perspective, knowing the inverse relation would be much more useful. In other words, for an observed conductivity change, what is the underlying strain state? In light of the potential of EIT to provide insight into the conductivity distribution of a strained nanocomposite, we herein develop a method of estimating the infinitesimal strain tensor of a piezoresistive nanocomposite for observed conductivity changes. This is done by formulating an inverse problem that seeks to minimize the difference between an observed conductivity and a piezoresistivity model that predicts nanocomposite conductivity as a function of the strain in the least-squares sense. Next, this approach is specialized to the finite element method such that the nodal displacements giving rise to an observed conductivity change can be ascertained. Lastly, this method is tested analytically with noisy data. It is found that the proposed method can accurately reproduce nodal displacements and therefore strains from conductivity data.
6

Omidbeike, Meysam, Ben Routley, and Andrew J. Fleming. "Independent Estimation of Temperature and Strain in Tee-Rosette Piezoresistive Strain Sensors." In 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2018. http://dx.doi.org/10.1109/aim.2018.8452304.

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7

Benech, Nicolás, and Carlos A. Negreira. "Temperature estimation with adaptive strain-temperature relation." In International Congress on Ultrasonics. Vienna University of Technology, 2007. http://dx.doi.org/10.3728/icultrasonics.2007.vienna.1614_benech.

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8

Rosenfeld, Michael J., Patrick C. Porter, and James A. Cox. "Strain Estimation Using Vetco Deformation Tool Data." In 1998 2nd International Pipeline Conference. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/ipc1998-2047.

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Damage to pipelines in the form of indentations and third-party damage has emerged as a key concern for operating reliability and public safety within the pipeline industry. Many operators have conducted detailed surveys of their pipelines for indentations (or simply “dents”) by means of in-line inspection tools designed to detect, measure, and report the presence, size, and location of dents, as well as other deformations such as buckles or wrinkles and ovality. Described herein is a technique suitable for processing the signal from Tuboscope-Vetco deformation ILI tools in order to derive the local cold strain associated with indentation of the pipe.
9

Nabuco, Bruna, Tobias Friis, Marius Tarpø, Sandro Amador, Evangelos I. Katsanos, and Rune Brincker. "Nonlinear Strain Estimation Based on Linear Parameters." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77785.

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This paper aims to demonstrate how to estimate strains of fixed structures considering cases with nonlinearities based on parameters determined from one linear case. Both simulated and experimental data have been evaluated. A finite element model was used to obtain the simulated responses. Accelerations and strains were measured along the application of random loading to a fixed structural model for the experimental data. Operational Modal Analysis has been considered in the time domain in order to identify the modal properties. Nonlinearities are included as friction is imposed on the models.
10

Kaszynski, Alexander A., Joseph A. Beck, and Jeffrey M. Brown. "Harmonic Convergence Estimation Through Strain Energy Superconvergence." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-44140.

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Grid convergence in finite element analysis, despite a wide variety of tools available to date, remains an elusive and challenging task. Due to the complex and time consuming process of remeshing and solving the finite element model (FEM), convergence studies can be part of the most arduous portion of the modeling process and can even be impossible with FEMs unassociated with CAD. Existing a posteriori methods, such as relative error in the energy norm, provide a near arbitrary indication of the model convergence for eigenfrequencies. This paper proposes a new approach to evaluate the harmonic convergence of an existing model without conducting a convergence study. Strain energy superconvergence takes advantage of superconvergence points within a FEM and accurately recovers the strain energy within the model using polyharmonic splines, thus providing a more accurate estimate of the system’s eigenfrequencies without modification of the FEM. Accurate eigenfrequencies are critical for designing for airfoil resonance avoidance and mistuned rotor response prediction. Traditional error estimation strategies fail to capture harmonic convergence as effectively as SES, potentially leading to a less accurate airfoil resonance and rotor mistuning prediction.

Звіти організацій з теми "Strain estimation":

1

Nakamura, Shigesato, Hisayoshi Ogura, Kota Noguchi, and Yasuhiro Miyazaki. Development of Estimation for Strain in Damages of Motorcycle Engine Parts When Tipped Over from Stationary State. Warrendale, PA: SAE International, October 2013. http://dx.doi.org/10.4271/2013-32-9096.

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2

Harter, Rachel M., Pinliang (Patrick) Chen, Joseph P. McMichael, Edgardo S. Cureg, Samson A. Adeshiyan, and Katherine B. Morton. Constructing Strata of Primary Sampling Units for the Residential Energy Consumption Survey. RTI Press, May 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0041.1705.

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The 2015 Residential Energy Consumption Survey design called for stratification of primary sampling units to improve estimation. Two methods of defining strata from multiple stratification variables were proposed, leading to this investigation. All stratification methods use stratification variables available for the entire frame. We reviewed textbook guidance on the general principles and desirable properties of stratification variables and the assumptions on which the two methods were based. Using principal components combined with cluster analysis on the stratification variables to define strata focuses on relationships among stratification variables. Decision trees, regressions, and correlation approaches focus more on relationships between the stratification variables and prior outcome data, which may be available for just a sample of units. Using both principal components/cluster analysis and decision trees, we stratified primary sampling units for the 2009 Residential Energy Consumption Survey and compared the resulting strata.
3

Chensvert, Thomas L. NMR Reconstructive Elasticity Imaging of Breast: Surrogate Remote Palpation Using Quantitative 3-D Displacement and Strain Estimations. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada391282.

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4

Kott, Phillip S. The Degrees of Freedom of a Variance Estimator in a Probability Sample. RTI Press, August 2020. http://dx.doi.org/10.3768/rtipress.2020.mr.0043.2008.

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Inferences from probability-sampling theory (more commonly called “design-based sampling theory”) often rely on the asymptotic normality of nearly unbiased estimators. When constructing a two-sided confidence interval for a mean, the ad hoc practice of determining the degrees of freedom of a probability-sampling variance estimator by subtracting the number of its variance strata from the number of variance primary sampling units (PSUs) can be justified by making usually untenable assumptions about the PSUs. We will investigate the effectiveness of this conventional and an alternative method for determining the effective degrees of freedom of a probability-sampling variance estimator under a stratified cluster sample.
5

Hu, Zhengzheng, Ralph C. Smith, and Jon Ernstberger. The Homogenized Energy Model (HEM) for Characterizing Polarization and Strains in Hysteretic Ferroelectric Materials: Implementation Algorithms and Data-Driven Parameter Estimation Techniques. Fort Belvoir, VA: Defense Technical Information Center, January 2012. http://dx.doi.org/10.21236/ada556961.

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6

Amuzu-Aweh, Esinam Nancy, Boniface Babore Kayang, Amandus Pachificus Muhairwa, Huaijun Zhou, Rodrigo Gallardo, Tara Kelly, Susan J. Lamont, and Jack C. M. Dekkers. Estimating Genetic Parameters for Growth and Response to Infection with La Sota lentogenic Newcastle Disease Virus Strain in Local Chicken Breeds in Ghana and Tanzania. Ames (Iowa): Iowa State University, January 2017. http://dx.doi.org/10.31274/ans_air-180814-322.

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Roofing estimator dies after falling 14 feet from the roof of a shopping center strip mall. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, April 1994. http://dx.doi.org/10.26616/nioshsface93nj094.

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