&lt;b&gt;A methodology for analysis of defective pipeline by introducing stress concentration factor into beam-pipe finite element formulation

Hsu, Yang Shang

doi:10.4025/actascitechnol.v38i3.27988

Cited by 4 publications

(2 citation statements)

References 11 publications

(14 reference statements)

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“…The beam-pipe element has been widely used to model global behavior of buried pipeline. 4,11 Usually, the pipeline system has a considerable extension and by using the beam-pipe element, the global behavior of pipeline system can be modeled with reduced computational effect, consequently, reduced processing time. 12 Moreover, the stress concentration factor generated by corrosion or other type of defect can also be insert into the beam-pipe element approach 11 and this numerical approach can be applied to analyze the global behavior of pipeline system.…”

Section: Introductionmentioning

confidence: 99%

“…4,11 Usually, the pipeline system has a considerable extension and by using the beam-pipe element, the global behavior of pipeline system can be modeled with reduced computational effect, consequently, reduced processing time. 12 Moreover, the stress concentration factor generated by corrosion or other type of defect can also be insert into the beam-pipe element approach 11 and this numerical approach can be applied to analyze the global behavior of pipeline system. By doing this approach, one may simplify the three-dimensional finite element model into beam-pipe element without neglecting the stress concentration factor.…”

Section: Introductionmentioning

confidence: 99%

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Numerical approach based on particle swarm technique for optimization of nonlinear buried pipeline on tensionless foundation

Shang,

Deitos,

Ulrich

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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This work aims to contribute to the development of numerical approach for optimization of buried pipeline by using finite element (FE) method and particle swarm optimization (PSO), considering static analysis and material hardening. The buried pipeline is discretized by finite element approach, constituted by Euler-Bernoulli three nodes beam element, while the soil-structure interaction is modeled by Winker-type tensionless foundation. Moreover, the tensionless foundation is discretized by spring element in the numerical model. The material nonlinearity behavior is analyzed by Von Mises isotropic hardening model. In the numerical approach, this model is solved by stress increment procedure. Furthermore, the critical loading and optimum wall thickness, that leads to optimized condition, are determined using swarm techniques. The cost function is formulated using evaluated stress and target stress, more, the calculated error is minimized by using swarm techniques for single-variable and two-variable optimization. Several applications are carried out by considering several soil conditions, boundary conditions and loading types. As a novelty, the soil random stiffness is included in the numerical model, where the optimum wall thickness and critical loading are evaluated considering material nonlinearity. The performance of finite element particle swarm technique is also compared to finite element genetic algorithms technique. The results demonstrate the effectiveness of proposed numerical approach for nonlinear buried pipeline optimization.

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