Titlebook: Computational and Experimental Simulations in Engineering; Proceedings of ICCES Shaofan Li Conference proceedings 2024 The Editor(s) (if ap

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乳白光

紅潤

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Prediction Method of Formation Pore Pressure Driven by the Coupling of Depth Learning and Eaton Meteep complex strata. In comparison, the BP neural network and stratified Eaton index averaging methods have errors of 14.398% and 14.447%, respectively. The joint use of deep learning and the Eaton method not only improves the accuracy of pore pressure prediction in deep complex formations but also i

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Optimization of Mixing Crude Oil Density for Batch Transportation Based on Sales Benefit, model was established to optimize crude oil allocation. Finally, this paper proposes the optimum density limit for crude oil batch transportation by discussing the influence of mixing crude oil density on the supply, profit, and loss. The optimized result of the oil field’s transportation and distr

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Topology Optimization of Constrained Layer Damping Treatment Plate Under Harmonic Excitations,ariables are obtained. The implicit smooth structure topology of constrained damping layer is determined by the level set function (LSF) constructed by node sensitivity. The analysis of the design model is replaced by the FEA model with various elemental volume fractions, which are determined by the

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Multi-objective and Multi-load-Conditions Topology Optimization Model for Designing Metamaterial Viare calculated under different loading conditions. To simplify the design process, one unit cell with periodic boundaries and equivalent loads is optimized. The overall three-dimensional structure of the vibration isolator is eventually periodically modelled from the optimized cell structure, and it