Analysis and thinking of Sichuan floods bridge collapse accident

2014 ◽  
Author(s):  
Shan Gao ◽  
Lei Yuan
Keyword(s):  
Bridge Collapse

Learning From the Media in the Aftermath of a Crisis: Findings from the Minneapolis Bridge Collapse

2009 ◽  
Vol 3 (4) ◽  
pp. 176-192 ◽  
Author(s):  
Lindsay D. Nelson ◽  
Patric R. Spence ◽  
Kenneth A. Lachlan
Keyword(s):  
Bridge Collapse ◽  
The Media

Bridge collapse

2016 ◽  
pp. 795-815 ◽  
Author(s):  
A.E. Schultz ◽  
A.J. Gastineau
Keyword(s):  
Bridge Collapse

Simulation of Palu IV Bridge Collapse using Near-Fault Ground Motions

2019 ◽  
Author(s):  
Iswandi Imran ◽  
Budi Santoso ◽  
Ary Pramudito ◽  
Muhammad Kadri Zamad
Keyword(s):  
Spatial Variation ◽  
Ground Motions ◽  
Time History ◽  
Seismic Demand ◽  
Fault Line ◽  
Near Fault ◽  
Failure Simulation ◽  
Bridge Collapse ◽  
Pulse Type ◽  
Bridge Bearing

<p>The earthquake near Palu, Sulawesi (Indonesia) on September 28, 2018 with a magnitude of M7.4 was caused by a shallow strike-slip of Palu-Koro fault. The earthquake and the subsequent tsunami have caused the collapse of the Ponulele Bridge (Palu IV Bridge). The steel box bowstring arch bridge was located near-fault regions (within 1,5 km from fault line) that have not been identified during the design process. This bridge may have been damaged by the presence of fling-step pulses in the near-fault pulse-type ground motions that increases the damaging potential of such ground motions. This paper presents the failure simulation of the bridge subjected to the near fault pulse type time history with spatial variation ground motions applied on multiple bridge supports. From the simulation, it is concluded that the near fault effects and the spatial variation of the ground motion have increased significantly the seismic demand on the bridge. This increase causes the failure in the anchorage of the bridge bearing system.</p>

Let the buyer beware: how network structure can enable (and prevent) supply chain fraud

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Scott DuHadway ◽  
Carlos Mena ◽  
Lisa Marie Ellram
Keyword(s):  
Supply Chain ◽  
Network Structure ◽  
Structural Characteristics ◽  
Case Study Research ◽  
Structural Holes ◽  
Content Type ◽  
New Concepts ◽  
Bridge Collapse ◽  
Multiple Case

PurposeSupply chain fraud is a significant global concern for firms, consumers and governments. Evidence of major fraud events suggests the role of supply chain structures in enabling and facilitating fraud, as they often involve several parties in complicated networks designed to obfuscate the fraud. This paper identifies how the structural characteristics of supply chains can play an important role in enabling, facilitating and preventing fraud.Design/methodology/approachThe research follows a theory elaboration approach. The authors build on structural holes theory in conjunction with a multiple case study research design to identify new concepts and develop propositions regarding the role of network structure on supply chain fraud.FindingsThis research shows how structural holes in a supply chain can create advantages for unscrupulous firms, a role we call tertius fraudans, or the cheating third. This situation is exacerbated by structural ignorance, which refers to the lack of knowledge about structural connections in the network. Both structural holes and structural ignorance can create information gaps that facilitate fraud, and the authors propose solutions to detect and prevent this kind of fraud.Originality/valueThis paper extends structural holes theory into the domain of fraud. Novel concepts including tertius fraudans, structural ignorance and bridge collapse are offered, alongside a series of propositions that can help understand and manage structural supply chain fraud.

scholarly journals Supplied Sediment Tracking for Bridge Collapse with Large-Scale Channel Migration

Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1881
Author(s):  
Takuya Inoue ◽  
Jagriti Mishra ◽  
Kazuo Kato ◽  
Tamaki Sumner ◽  
Yasuyuki Shimizu
Keyword(s):  
Erosion Rate ◽  
Large Scale ◽  
Bank Erosion ◽  
Strong Relationship ◽  
Sediment Supply ◽  
Study Region ◽  
Flow Discharge ◽  
Bridge Abutment ◽  
Bridge Collapse ◽  
Flooding Events

Here, we provide a numerical model that assigns an identification number to trace sediments and also identify the source of sediment supply. We analyze the efficacy of our model by reproducing the reach-scale field observations from flooding events in 2010 and 2016 that affected Kyusen Bridge over the Bebetsu River, Hokkaido, Japan. Our simulation results can successfully reproduce and trace the formation of bars caused by sediment supply in the study region. Our study also suggests a strong relationship between bank erosion rate, sediment supply and flow-discharge. The bank erosion rate is higher when sediment supply increases, and bank erosion reduces as flow discharge goes down. The model can also replicate the changes in a bed concerning sediment supply and was used to reproduce the bridge-abutment failure caused by the 2016 flooding with large sediment supply and the bridge-pier failure caused by the 2010 flooding with less sediment supply.

Bridge Collapse during Demolition

2018 ◽  
Author(s):  
David B. Peraza ◽  
Ibrahim Erdem
Keyword(s):  
Bridge Collapse
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