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2020
DOI: 10.1155/2020/6637260
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Traffic Capacity Assessment of the Urban Elevated Bridge after Near-Field Explosion Based on the Response Surface Method

Abstract: The traffic capacity of the urban elevated bridge is assessed after it is attacked by a near-field explosion, using the residual bearing capacity of the damaged pier as the assessment index. First, the finite element model of a reinforced concrete slab under near-field explosion is established by ANSYS/LS-DYNA software and compared with the experimental results, which verifies the effectiveness of the ALE (arbitrary Lagrangian–Eulerian) algorithm and the accuracy of the mesh size and material properties. Then,… Show more

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Cited by 1 publication
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“…Sun et al 15 proposed a bridge dangerous goods explosion assessment framework composed of conversion system and polymerization process, defining the bridge risk function according to the framework. Jiang et al 16 used the residual bearing capacity of bridge piers after explosion as an evaluation index to evaluate the traffic capacity of urban viaducts after near‐field explosion attacks. Hashemi et al 17 studied the influence of different traffic load forms on the maximum response of cable‐stayed bridges under different explosion conditions and evaluated the possibility of explosion collapse of cable‐stayed bridges.…”
Section: Introductionmentioning
confidence: 99%
“…Sun et al 15 proposed a bridge dangerous goods explosion assessment framework composed of conversion system and polymerization process, defining the bridge risk function according to the framework. Jiang et al 16 used the residual bearing capacity of bridge piers after explosion as an evaluation index to evaluate the traffic capacity of urban viaducts after near‐field explosion attacks. Hashemi et al 17 studied the influence of different traffic load forms on the maximum response of cable‐stayed bridges under different explosion conditions and evaluated the possibility of explosion collapse of cable‐stayed bridges.…”
Section: Introductionmentioning
confidence: 99%