Nonlinear stochastic seismic analysis of buried pipeline systems |
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| Affiliation: | 1. State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China;2. Department of Structural Engineering, Tongji University, Shanghai 200092, China;1. Sch. of Civil & Envr. Engr., Cornell University, Ithaca, NY, USA;2. Civil & Envr. Engr., Youngstown State Univ., Youngstown, OH, USA;1. Department of Civil and Environmental Engineering, University of Delaware, Newark, DE 19711, USA;2. Departments of Civil and Natural Resources Engineering and Geological Sciences, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand;3. Department of Civil and Natural Resources Engineering, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand;4. Department of Civil and Environmental Engineering, Stanford University, CA, USA;1. Department of Civil Engineering, University of Thessaly, Volos 38334, Greece;2. Department of Mechanical Engineering, University of Thessaly, Volos 38334, Greece |
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| Abstract: | ![]()
In this paper, a nonlinear stochastic seismic analysis program for buried pipeline systems is developed on the basis of a probability density evolution method (PDEM). A finite element model of buried pipeline systems subjected to seismic wave propagation is established. The pipelines in this model are simulated by 2D beam elements. The soil surrounding the pipelines is simulated by nonlinear distributed springs and linear distributed springs along the axial and horizontal directions, respectively. The joints between the segmented pipes are simulated by nonlinear concentrated springs. Thereafter, by considering the basic random variables of ground motion and soil, the PDEM is employed to capture the stochastic seismic responses of pipeline systems. Meanwhile, a physically based method is employed to simulate the random ground motion field for the area where the pipeline systems are located. Finally, a numerical example is investigated to validate the proposed program. |
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| Keywords: | Buried pipeline systems Stochastic seismic response Probability density evolution method Physically based random ground motion Nonlinearity |
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