Earthquake Mechanics Study with Health Check for a Seismic-Damaged Tunnel Suffered from the Wenchuan Earthquake

2013 ◽  
Vol 387 ◽  
pp. 68-71 ◽  
Author(s):  
Jia Xin Zhang
Keyword(s):  
Wenchuan Earthquake ◽  
Seismic Damage ◽  
Stability Assessment ◽  
Seismic Region ◽  
Strength Deterioration ◽  
The Wenchuan Earthquake ◽  
Earthquake Mechanics ◽  
The Stability ◽  
Non Destructive ◽  
Health Diagnosis

The health diagnosis of seismic-damaged tunnel seismically damaged is important in recovering traffic lines for seismic relief and recovery. Taking a tunnel damaged tunnel in the Wenchuan earthquake as an example, the methods of safety check is exposed. The non-destructive test showed that the seismic damage to this tunnel included concrete cracks, hidden cavities, and strength deterioration of lining. Several causes induced in seismic diseases were discussed. The rehabilitation technique, which needs not break off transportation through the tunnel, was also put forward. It is hoped that this earthquake mechanics study can enhance the stability assessment and tunnel reinforcement in a highly seismic region.

Earth-Rock Dam’s Seismic Vulnerability Analysis of Mianyang City in the Wenchuan Ms8.0 Earthquake

2012 ◽  
Vol 166-169 ◽  
pp. 2151-2158
Author(s):  
Hai An Liang ◽  
Li Ping Jing ◽  
Yong Qiang Li ◽  
Chun Hui Liu
Keyword(s):  
Wenchuan Earthquake ◽  
Delphi Method ◽  
Seismic Vulnerability ◽  
Beta Function ◽  
Seismic Damage ◽  
Vulnerability Analysis ◽  
The Wenchuan Earthquake ◽  
Seismic Vulnerability Analysis

Dam damaged is one of common forms about lifeline engineering after earthquake raids. Based on the analysis of the seismic damaged conditions of 825 dams in Mianyang City, this paper establishes a dam’s seismic vulnerability matrix that suite for the Chinese specification. Compares the Mianyang city’s earth-rock dam seismic vulnerability matrix with the ATC-13’s that based on Delphi method, the vulnerability of dams in the Wenchuan earthquake is quite different with ATC-13’s, earth-rock dams of Mianyang City appear to be more vulnerable during earthquake. Base on date of seismic vulnerability matrix in Mianyang city, vulnerability curves are established. The vulnerability curves that fitted by beta function can be used to predict Chinese earth-rock dam’ seismic damage.

Typical Seismic Damage Analysis of the Single-Story Reinforced Concrete Industrial Buildings in Hanwang Town in Wenchuan Earthquake

2010 ◽  
Vol 452-453 ◽  
pp. 517-520 ◽  
Author(s):  
Bai Tao Sun ◽  
Qiang Zhou ◽  
Pei Lei Yan
Keyword(s):  
Reinforced Concrete ◽  
Wenchuan Earthquake ◽  
Seismic Design ◽  
Seismic Damage ◽  
Design Code ◽  
Seismic Region ◽  
Industrial Buildings ◽  
Earthquake Resistant Design ◽  
Seismic Design Code ◽  
Earthquake Resistant

The Wenchuan earthquake occurred on May 12, 2008 (Beijing Time) caused great economical loss and large amount of buildings were destroyed. Many of single-story reinforced concrete industrial buildings in Hanwang town located in the highly seismic region were damaged, and the damaging phenomenons are very typical. According to the damage survey and analysis of typical seismic damage for the single-story reinforced concrete industrial buildings located in Hanwang town, the damage distribution and failure characters of these buildings are summarized in this paper. The single-story reinforced concrete industrial buildings which were designed according to current seismic design code have better earthquake resistant behavior than those old single-story reinforced concrete industrial buildings and the damaging phenomenon show some new features. Finally, combining current seismic design code of our country and the earthquake damage lessons, some reasonable suggestions on the work of seismic strengthening and earthquake resistant design of the single-story reinforced concrete industrial buildings have been given.

Seismic Damage Analysis of the Teaching Buildings in Leigu Town in the Wenchuan Earthquake

2009 ◽  
Vol 417-418 ◽  
pp. 889-892
Author(s):  
Bai Tao Sun ◽  
Qiang Zhou ◽  
Pei Lei Yan
Keyword(s):  
Comparative Analysis ◽  
Wenchuan Earthquake ◽  
Seismic Behavior ◽  
Seismic Damage ◽  
Great Earthquake ◽  
Damage Analysis ◽  
The Wenchuan Earthquake ◽  
Damage States ◽  
Actual Damage ◽  
Beichuan County

A great earthquake of magnitude 8.0 occurred on May 12, 2008 (Beijing Time) in Wenchuan, Sichuan Province of China. Leigu town, which adjoins Beichuan county, was the most seriously damaged place in this earthquake. The teaching buildings were destroyed severely and the earthquake disaster phenomena is very typical. In this paper, firstly, the characteristics of structures and the earthquake damage of the teaching buildings in Leigu town are introduced in detail. Secondly, their damage states are calculated by means of structure vulnerability analysis, which are used for comparative analysis with actual damage states, and the influencing factors on seismic behavior are analyzed. Finally, some reasonable suggestions on the reconstruction of teaching buildings after disaster have been given.

Catastrophic debris flows triggered by the 20 August 2019 rainfall, a decade since the Wenchuan earthquake, China

Landslides ◽  
2021 ◽  
Author(s):  
Fan Yang ◽  
Xuanmei Fan ◽  
Srikrishnan Siva Subramanian ◽  
Xiangyang Dou ◽  
Junlin Xiong ◽  
...  
Keyword(s):  
Wenchuan Earthquake ◽  
Debris Flows ◽  
The Wenchuan Earthquake

scholarly journals Valuable Clues for DCNN-Based Landslide Detection from a Comparative Assessment in the Wenchuan Earthquake Area

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5191
Author(s):  
Chang Li ◽  
Bangjin Yi ◽  
Peng Gao ◽  
Hui Li ◽  
Jixing Sun ◽  
...  
Keyword(s):  
Wenchuan Earthquake ◽  
Remote Sensing Images ◽  
Machine Learning Methods ◽  
The Wenchuan Earthquake ◽  
Causative Factors ◽  
Multiple Structures ◽  
Sample Set ◽  
Larger Sample ◽  
Structure Layer ◽  
Earthquake Area

Landslide inventories could provide fundamental data for analyzing the causative factors and deformation mechanisms of landslide events. Considering that it is still hard to detect landslides automatically from remote sensing images, endeavors have been carried out to explore the potential of DCNNs on landslide detection, and obtained better performance than shallow machine learning methods. However, there is often confusion as to which structure, layer number, and sample size are better for a project. To fill this gap, this study conducted a comparative test on typical models for landside detection in the Wenchuan earthquake area, where about 200,000 secondary landslides were available. Multiple structures and layer numbers, including VGG16, VGG19, ResNet50, ResNet101, DenseNet120, DenseNet201, UNet−, UNet+, and ResUNet were investigated with different sample numbers (100, 1000, and 10,000). Results indicate that VGG models have the highest precision (about 0.9) but the lowest recall (below 0.76); ResNet models display the lowest precision (below 0.86) and a high recall (about 0.85); DenseNet models obtain moderate precision (below 0.88) and recall (about 0.8); while UNet+ also achieves moderate precision (0.8) and recall (0.84). Generally, a larger sample set can lead to better performance for VGG, ResNet, and DenseNet, and deeper layers could improve the detection results for ResNet and DenseNet. This study provides valuable clues for designing models’ type, layers, and sample set, based on tests with a large number of samples.

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