One of challenging issues in structural random analysis is to accurately predict the dynamic stresses. It is even important for fatigue life prediction and strength-safe design. This paper proposes an accurate and eff...
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One of challenging issues in structural random analysis is to accurately predict the dynamic stresses. It is even important for fatigue life prediction and strength-safe design. This paper proposes an accurate and efficient computational method to obtain the dynamic stresses of structures under random loading. Firstly, the random loading given by PSD is transferred into harmonic functions. Meanwhile, structural modal stress analysis is conducted. Based on the modal stress superposition and the equivalent treatment for higher modal responses, the dynamic stresses are determined. It consists of two parts: one is from the modal stress superposition, and the other is from the equivalent analysis including the contributions of the ignored higher modes. This new method is verified by the experiment conducted in our laboratory, showing that the dynamic stresses predicted by the new method agree well with the experimental results, and it is of high computational efficiency. The proposed method can be easily applied to dynamic stresses prediction for engineering structures under random loading. (C) 2016 Elsevier Masson SAS. All rights reserved.
accurately identifying correct correspondence (inlier) within initial ones is pivotal for robust feature-based point cloud registration. Current methods typically rely on one-shot 3D correspondence classification with...
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In this paper, we construct a reduced-order finite element (ROFE) method holding seldom unknowns for the parabolic optimal control problem. We apply the proper orthogonal decomposition (POD) technique to develop two u...
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In this paper, we construct a reduced-order finite element (ROFE) method holding seldom unknowns for the parabolic optimal control problem. We apply the proper orthogonal decomposition (POD) technique to develop two unsteady systems about state and co-state approximations, which efficiently reduces the number of unknowns and computational costs. Optimal a priori error estimates for the state, co-state and control approximations are derived. Finally, numerical examples are presented to verify that the ROFE method is accurate and efficient for solving the parabolic optimal control problem.
In the process of assembling aircraft parts, each assembly station uses tens of thousands of fasteners to assemble various parts into large aircraft parts. In order to ensure the assembly quality of products, the type...
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ISBN:
(数字)9781665484008
ISBN:
(纸本)9781665484008
In the process of assembling aircraft parts, each assembly station uses tens of thousands of fasteners to assemble various parts into large aircraft parts. In order to ensure the assembly quality of products, the type and quantity of fasteners used must be accurate, while the traditional manual selection process of fasteners is prone to errors in type, quantity and information, and the selection efficiency is low, it can not meet the technical requirement of aircraft parts assembly for accurate and efficient selection and distribution of required fasteners. Combined with the development direction of the current selection technology for aircraft component assembly fasteners, this paper has solved the technical problems of precise and efficient selection of types, quantities, real-time matching and long-term effectiveness in the process of automatic selection of fasteners, an auto-selecting device based on aircraft parts assembly station is developed, which can automatically, timely, accurately and efficiently distribute the required fasteners for each aircraft parts assembly station.
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