Research Article | OPEN ACCESS
Optimization Inversion of the Ground Stress Field of Bohai Sea and Its Adjacent Area
1, 2Zongxiang Xiu, 3Baohua Liu, 1, 2Qiuhong Xie, 1, 2Guozhong Han, 1, 2Yanpeng Zheng and 1, 2Xishuang Li
1First Institute of Oceanography, State Oceanic Administration
2Key Laboratory of Marine Sedimentology and Environmental Geology
3National Deep Sea Center, Qingdao 266061, China
Research Journal of Applied Sciences, Engineering and Technology 2013 21:4103-4109
Received: March 13, 2013 | Accepted: April 17, 2013 | Published: November 20, 2013
Abstract
An optimization inversion model of the ground stress field of Bohai Sea and its adjacent area is established by combining Hooke-Jeeves optimization algorithm and finite element method. The study area was simplified into two 2D sections, a shallow and a deep section, for optimization inversion analysis in consideration of the spatial distribution of the measuring points. The main faults in the study area were simulated by 2D surface to surface contact model, in which the friction state between hanging wall and footwall was modeled by Coulomb friction model. The objective function is established by least squares method, according to the difference values between calculated ground stress data and measured ones. The results show that a plausible ground stress field distribution of Bohai Sea and its adjacent area can be obtained with less data by the optimization inversion method. When there are less measuring points, the optimization inversion result can be easily affected by the distribution of measuring points and the distance of each measuring point to the model boundary; when there are more measuring points, the inversion errors at the checkpoints can be obviously reduced and a more reasonable integrated inversion result can be obtained.
Keywords:
Bohai sea and its adjacent area, ground stress, Hooke-Jeeves direct search method, least square method, optimization inversion,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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