Volume 2B: Advanced Manufacturing 2015
DOI: 10.1115/imece2015-50915
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An Energy-Based Residual Stress Field Reconstruction Approach Using Limited Measurements

Abstract: To characterize the residual stress distribution is very crucial for workpiece fatigue lifetime and structural integrity assessment. An energy-based residual stress field reconstruction approach using limited measurements is proposed. Firstly, the Ferguson spline interpolation technique is employed as the stress interpolation base of the 2-order stress tensor. Then, an initial stress field can be reconstructed using the overall boundary conditions by minimizing strain energy. Further, the stress distribution i… Show more

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Cited by 2 publications
(2 citation statements)
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“…Li et al [36] proposed a neural network algorithm of GMDH (Group Modeling of Data Handing) for the critical issue of sparse measured sample data of ground stress. This algorithm constructs the boundary condition model under complex geological conditions by combining the nonlinear characteristics of the gravity and tectonic stress fields and fitting nonlinear expressions of the boundary load.…”
Section: Intelligent Inversion Analysis Methodsmentioning
confidence: 99%
“…Li et al [36] proposed a neural network algorithm of GMDH (Group Modeling of Data Handing) for the critical issue of sparse measured sample data of ground stress. This algorithm constructs the boundary condition model under complex geological conditions by combining the nonlinear characteristics of the gravity and tectonic stress fields and fitting nonlinear expressions of the boundary load.…”
Section: Intelligent Inversion Analysis Methodsmentioning
confidence: 99%
“…Many experts and scholars have performed extensive and in-depth research on geostress inversion [20][21][22][23][24][25]. Tian Yong et al [26] used ANSYS numerical software to establish a well model considering the boundary effect, and the inversion of the stress field was carried out using a multi-constraint method; Kong Peng et al [27] used ABAQUS finite element software to establish a geological model considering different fault zones, and also calculated the geostress in Kakizhuang South area considering the accuracy of the magnitude and direction of the geostress; Zhao Yu et al [28] used the pre-processing software Hypermesh to establish the underground plant model and combined it with MATLAB for multiple regression analysis to study the ground stress inverse in the underground plant of the water storage station; Liu Quansheng et al [29] simplified the stratigraphy into an inclined stratigraphy to establish a mine model, optimized the model boundary conditions using a vector regression algorithm, and applied the best boundary conditions to the model to obtain the ground stress field of the whole region; Meng Wei et al [30,31] used Surfer software to interpolate the actual terrain onto the three-dimensional (3D) model and inverted the initial ground stress field in the rockburst area based on the lateral pressure coefficient.…”
Section: Introductionmentioning
confidence: 99%