Surface deformation analysis over Vrancea seismogenic area through radar and GPS geospatial data

2017 ◽  
Author(s):  
Maria A. Zoran ◽  
Roxana S. Savastru ◽  
Dan M. Savastru ◽  
Florin Serban ◽  
Delia Teleaga ◽  
...  
Keyword(s):  
Surface Deformation ◽  
Geospatial Data ◽  
Deformation Analysis ◽  
Seismogenic Area

Space Optical Remote Sensor of the CAE Thermal Control Index Calculation Method

2011 ◽  
Vol 308-310 ◽  
pp. 2328-2333
Author(s):  
Li Fu Li
Keyword(s):  
Optical System ◽  
Thermal Loading ◽  
Surface Deformation ◽  
Thermal Control ◽  
Temperature Fields ◽  
Deformation Analysis ◽  
Analysis Model ◽  
Zernike Polynomial ◽  
Remote Sensors ◽  
Remote Sensor

The thermal control indicators CAE methods of Space optical remote sensor are analyzed in the presented work. We sat up a thermal optical analysis model for space optical remote sensor. By assuming fully covered by in-orbit temperature load, and using the finite element method for thermal deformation analysis, we obtained the optical remote sensor surface deformation and displacement under various thermal loading. Using ZERNIKE polynomial, wave was fitted to obtain ZERNIKE polynomial coefficients which were incorporated into the optical system design. Using CODE V optical calculation software, heat-ray machines under elastic deformation of the system point spread function, transfer function (MTF), wave front differential (WFE) etc. were calculated. Image quality changes of remote sensors are discussed in variety assumed cases such as temperature loads of quality change. By repeated iteration, critical value of temperature fields meeting the design requirements are obtained for the optical system. Optical indicators were converged to the temperature field indicator, then reasonable indicators of thermal control for remote sensors were obtained. For the thermal control design, this method provided a reliable basis for design.

scholarly journals Surface deformation analysis of collapsed lungs using model-based shape matching

2019 ◽  
Vol 14 (10) ◽  
pp. 1763-1774 ◽  
Author(s):  
Megumi Nakao ◽  
Junko Tokuno ◽  
Toyofumi Chen-Yoshikawa ◽  
Hiroshi Date ◽  
Tetsuya Matsuda
Keyword(s):  
Shape Matching ◽  
Surface Deformation ◽  
Deformation Analysis ◽  
Model Based

scholarly journals Large areas surface deformation analysis through a cloud computing P-SBAS approach for massive processing of DInSAR time series

2017 ◽  
Vol 202 ◽  
pp. 3-17 ◽  
Author(s):  
Claudio De Luca ◽  
Ivana Zinno ◽  
Michele Manunta ◽  
Riccardo Lanari ◽  
Francesco Casu
Keyword(s):  
Time Series ◽  
Cloud Computing ◽  
Surface Deformation ◽  
Deformation Analysis

Two‐scale surface deformation analysis using the SBAS‐DInSAR technique: a case study of the city of Rome, Italy

2008 ◽  
Vol 29 (6) ◽  
pp. 1665-1684 ◽  
Author(s):  
M. Manunta ◽  
M. Marsella ◽  
G. Zeni ◽  
M. Sciotti ◽  
S. Atzori ◽  
...  
Keyword(s):  
Surface Deformation ◽  
Deformation Analysis ◽  
The City ◽  
Scale Surface

scholarly journals Comprhensive Approach to the Analysis of the 3D Kinematics Deformation with appliction to the Kenai Peninsula

2011 ◽  
Vol 1 (1) ◽  
pp. 59-73 ◽  
Author(s):  
M. Hossainali ◽  
M. Becker ◽  
E. Groten
Keyword(s):  
Surface Deformation ◽  
Regularization Parameter ◽  
Vertical Direction ◽  
Three Dimensions ◽  
Deformation Tensor ◽  
Deformation Analysis ◽  
Kenai Peninsula ◽  
3D Kinematics ◽  
South Central ◽  
Lagrangian Formulations

Comprhensive Approach to the Analysis of the 3D Kinematics Deformation with appliction to the Kenai PeninsulaThe problem of analyzing surface deformation of the Earth's crust in three-dimensions is discussed. The isoparametric and Lagrangian formulations of deformation are extended from 2D to 3D. Analytical and numerical investigation of problem conditioning proves that analyzing the 3D kinematics of deformation can be an ill-posed problem. The required mathematical elements for solving this problem, including sensitivity analysis of the deformation tensor and regularization, are proposed. Regularized deformation tensors were computed using the method of truncated singular value decomposition (TSVD). The optimal regularization parameter was attained by minimizing regularization errors. Regularization errors were assessed using the corresponding 2D results of deformation analysis. The proposed methods were applied to the GPS network in the Kenai Peninsula, south-central Alaska, in order to compute the 3D pattern of postseismic crustal deformation in this area. Computed deformation in the vertical direction is compared to the existing pattern of vertical deformation obtained from the combination of precise leveling, gravity and GPS measurements from other studies on this area.

Prediction of Thermal Contact Conductance by Surface Deformation Analysis

2001 ◽  
Author(s):  
Vishal Singhal ◽  
Suresh V. Garimella
Keyword(s):  
Surface Deformation ◽  
Thermal Contact ◽  
Thermal Contact Conductance ◽  
Deformation Analysis ◽  
Improved Method ◽  
Contact Conductance ◽  
The Real ◽  
Real Area Of Contact ◽  
Surface Profiles ◽  
Real Area

Abstract An improved method has been developed for the prediction of thermal contact conductance between two nominally flat metallic rough surfaces by analysis of the deformation of individual asperities in contact. The deformation of the asperities in contact has been taken into account by considering three different modes of deformation — elastic, elastic-plastic and plastic. The model uses an iterative procedure to determine the real area of contact between the deformed surfaces for a given load, nominal area of contact, surface profiles and material properties of the surfaces in contact. The contact conductance is then determined as a function of the ratio of the real area of contact to the apparent area of contact The predicted variation of contact conductance with load obtained from the model is compared to simplified analytical predictions in the literature as well as to experiments conducted as part of this work.

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