Effectiveness of Soft Baseplates and Fastenings to Mitigate Track Dynamic Settlement at Transition Zones on Railway Bridge Approaches

The problem of corrosion for old steel bridges in operation is often solved by direct replacement of elements or structure. Only a few studies have been done to determine the efforts influenced by corrosion in those elements. In general, it is considered that a corroded element has exceeded the bearing capacity and should be replaced, but if the corroded element is secondary it could be treated and kept. A factor in the rehabilitation of an old steel bridge in operation is the aspect of structure. If the structure is corroded, rehabilitation decision is taken is easier. Lamellar tearing describes the cracking that occurs beneath the weld and can be characterized as a brittle failure of steel, in the direction perpendicular to the plane of rolling. The paper presents a comprehensive study on lamellar tearing and summarizes some conclusions about the prevention of them. The conclusions will be exemplified in the case of a railway bridge, with a main truss girder. The paper presents also some observations regarding the stress analysis in fillet welds, resulting from the engineering practice.

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HIDDEN EARTHQUAKE POTENTIAL IN PLATE BOUNDARY TRANSITION ZONES

10.1130/abs/2017am-301094 ◽

2017 ◽

Author(s):

Kevin P. Furlong ◽

Keyword(s):

Plate Boundary ◽

Transition Zones ◽

Earthquake Potential

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Drivers of Small-Scale Diptera Distribution in Aquatic-Terrestrial Transition Zones of Spring Fens

Wetlands ◽

10.1007/s13157-019-01171-w ◽

2019 ◽

Vol 40 (2) ◽

pp. 235-247

Author(s):

Vendula Polášková ◽

Jana Schenková ◽

Martina Bílková ◽

Martina Poláková ◽

Vanda Šorfová ◽

...

Keyword(s):

Small Scale ◽

Transition Zones ◽

Spring Fens

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Urban Railway Bridge Fast Evaluation Based on Cloud Computing

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.71-78.4501 ◽

2011 ◽

Vol 71-78 ◽

pp. 4501-4505

Author(s):

Ming Chen ◽

Wan Zhou

Keyword(s):

Neural Networks ◽

Cloud Computing ◽

Model Updating ◽

Condition Assessment ◽

Fe Model ◽

Railway Bridge ◽

Fast Evaluation ◽

Railway Bridges ◽

Computing Model ◽

Bridge Condition Assessment

Although modern bridge are carefully designed and well constructed, damage may occur in them due to unexpected causes. Currently, many different techniques have been proposed and investigated in bridge condition assessment. However, evaluation efficiency of condition assessment has not been paid much attention by the researchers. A fast evaluation of the urban railway bridge condition based on the cloud computing is presented. In this paper dynamic FE model and Artificial neural networks technique is applied to model updating. The cloud computing model provides the basis for fast analyses. It was found that when applied to the actually railway bridges, the proposed method provided results similar to those obtained by experts, but can improve efficiency of bridge

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