A parameter calibration method in two-surface elastoplastic model for sand-structure interface under monotonic shear loading

2021 ◽  
Vol 134 ◽  
pp. 104115
Author(s):  
Li Pang ◽  
Chong Jiang ◽  
Xin Ding ◽  
Huawei Chen ◽  
Liang Deng
2020 ◽  
Vol 36 (7) ◽  
pp. 1321-1333
Author(s):  
Yongzhi Wang ◽  
Sijing Zhu ◽  
Liu Yuan ◽  
Rui Deng

2021 ◽  
Author(s):  
Wenjun Su ◽  
Junkang Guo ◽  
Zhigang Liu ◽  
Kang Jia

Abstract Rotary-laser automatic theodolite (R-LAT) system is a distributed large-scale metrology system, which provides parallel measurement in scalable measurement room without obvious precision losing. Each of R-LAT emits two nonparallel laser planes to scan the measurement space via evenly rotation, while the photoelectric sensors receive these laser planes signals and performs the coordinate calculation based on triangulation. The accurate geometric parameters of the two laser planes plays a crucial role in maintaining the measurement precision of R-LAT system. Practically, the geometry of the two laser plane, which is termed as intrinsic parameters, is unknown after assembled. Therefore, how to figure out the accurate intrinsic parameters of each R-LAT is a fundamental question for the application of R-LAT system. This paper proposed an easily operated intrinsic parameter calibration method for R-LAT system with adopting coordinate measurement machine. The mathematic model of laser planes and the observing equation group of R-LAT are established. Then, the intrinsic calibration is formulated as a nonlinear least square problem that minimize the sum of deviations of target points and laser planes, and the ascertain of its initial guess is introduced. At last, experience is performed to verify the effectiveness of this method, and simulations are carried out to investigate the influence of the target point configuration on the accuracy of intrinsic parameters.


Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3086
Author(s):  
Ouyang ◽  
Shi ◽  
You ◽  
Zhao

For a visual/inertial integrated system, the calibration of extrinsic parameters plays a crucial role in ensuring accurate navigation and measurement. In this work, a novel extrinsic parameter calibration method is developed based on the geometrical constraints in the object space and is implemented by manual swing. The camera and IMU frames are aligned to the system body frame, which is predefined by the mechanical interface. With a swinging motion, the fixed checkerboard provides constraints for calibrating the extrinsic parameters of the camera, whereas angular velocity and acceleration provides constraints for calibrating the extrinsic parameters of the IMU. We exploit the complementary nature of both the camera and IMU, of which the latter assists in the checkerboard corner detection and correction while the former suppresses the effects of IMU drift. The results of the calibration experiment reveal that the extrinsic parameter accuracy reaches 0.04° for each Euler angle and 0.15 mm for each position vector component (1σ).


2019 ◽  
Vol 2019 (14) ◽  
pp. 536-542 ◽  
Author(s):  
Dongxiao Wang ◽  
Bo Zhang ◽  
Lei Zhang ◽  
Liqun Zhang ◽  
Menglin Yang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document