Experimental study of the interaction between building clusters and flash floods

Du, Jinkang; He, Xinlin; Wang, Zhaoyin; Chendi, Zhang; Li, Wenxin

doi:10.1007/s11629-014-3170-6

Cited by 5 publications

(5 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These factors contribute to the change in foundation bearing capacity. Based on literature survey and field research 20,25,34,35 , it is evident that the scouring effect of floods is mainly influenced by the flood scouring angle and the masking effect of building groups. To clarify the deterioration process of foundation bearing performance under the combined effect of flood scouring-soaking, and to establish effective anti-flood reinforcement facilities, it is crucial to consider the impact of flood scouring angles and the masking effect of buildings on the foundation's bearing performance.…”

Section: Analysis Of the Bearing Performance Of Foundations Under The...mentioning

confidence: 99%

“…Additionally, understanding the influence of combined scouring-soaking actions on the bearing capacity of foundations in building groups is a key question for future study. Moreover, village buildings' orientation is determined by builders based on topographical terrain, ventilation, and lighting conditions [25][26][27] . Flood flows may not necessarily be perpendicular to one side of the building, necessitating consideration of how different scouring angles affect the bearing capacity of rural building groups' foundations.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Investigating the bearing performance of the foundation under the combined effects of flood scouring and soaking

Han,

Ding,

Yan

et al. 2023

Sci Rep

View full text Add to dashboard Cite

Bearing capacity degradation of foundations under the impact of the flood is one of the major reasons responsible for the collapse and damage to the rural buildings, posing a serious threat to the local village societies. Based on a case study of a rural building foundation had been destroyed by flooding. This paper investigated the deterioration process of rural building foundations under the combined effect of dynamic scouring and static soaking caused by flooding. Using the two-dimensional shallow water equation, erosion depth was calculated for different flood velocities. Then, the bearing capacity degradation under the combined scouring-soaking effect was analyzed using the finite element method. Finally, investigating the influence of inflow direction and building group masking on the foundation's bearing capacity. The results indicate that under the combined effect, the bearing capacity of village building foundations decreases by 47.88%, with scouring slightly more impactful than soaking. Inflow angle has minimal effect on bearing performance, while the masking effect of the building group provides better protection for the foundation of rear buildings.

show abstract

Section: Analysis Of the Bearing Performance Of Foundations Under The...mentioning

confidence: 99%

mentioning

confidence: 99%

Investigating the bearing performance of the foundation under the combined effects of flood scouring and soaking

Han,

Ding,

Yan

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…However, scientific standards are lacking in regard to the safe distance of buildings from debris flows. Du et al (2015) conducted an experimental study of the interaction between building clusters and flash floods. Their experiment indicated that the safe VD of a building from a river channel is 13 m for buildings in inner gully areas, while the safe HD is 80 m under extreme flood conditions.…”

Section: Vulnerability Matrixmentioning

confidence: 99%

Automatic identification of buildings vulnerable to debris flows in Sichuan Province, China, by GIS analysis and Deep Encoding Network methods

Liu

2022

J Flood Risk Management

View full text Add to dashboard Cite

Debris flows commonly cause tremendous damage to buildings in mountainous areas. The identification of buildings susceptible to debris flows is vital for settlement risk management. The efficient identification method is a major issue limiting the targeted regional policy setting. By combining geographic information system (GIS) and Deep Encoding Network (DE-Net) methods, we proposed an automatic identification method for buildings highly susceptible to debris flows with large-scale digital elevation data and high-resolution remote sensing imagery. The judgment criteria were based on a vulnerability matrix containing different threshold values of the horizontal distance (HD) and vertical distance (VD) between buildings and channels obtained from the statistics of 362 buildings destroyed by 23 debris flows and the maximum debris flow depths of 26 events, respectively. Five steps, which are debris flow channel extraction, building extraction, building cluster segmentation, distance calculation, and building classification, were implemented in the method. A case study in Puge County, Sichuan Province, demonstrated the high identification potential of the method for buildings susceptible to debris flows in large areas with only scarce information available. The identification results provide valuable information regarding high-risk residential areas to governments and facilitate targeted measure design in these areas in the initial planning stage.

show abstract

“…Flash floods are regarded as one of the most catastrophic natural hazards and affect many regions, especially mountainous regions [1,2]. It has caused incalculable consequences throughout history, such as mass casualties, great damage to structures and infrastructures, and heavy economic losses [3].…”

Section: Introductionmentioning

confidence: 99%

“…Physically based methods (scenario analysis), which analyze the structural response in the specific hazard scenarios, have gained increasing popularity [13]. Specifically, the vulnerability of buildings has been analyzed through a variety of physically based methods, including yielding line analysis [14,15], 2D structural analysis [16], probabilistic and modular analysis [5,17], and experimental analysis [1]. Based on analytical representations of the failure mechanism of individual components, Nadal et al [18] investigated the expected flood damage to individual buildings.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Simulation and Vulnerability Analysis of Masonry Structures Impacted by Flash Floods

Fang

Zhong

Zhang

et al. 2021

Shock and Vibration

View full text Add to dashboard Cite

The vulnerability of buildings impacted by flash floods is often assessed by empirical approaches. However, the damage-developing mechanisms of buildings remain unclear. This study presented a nonlinear numerical analysis for the interaction between flash floods and masonry structures. A new Structured ALE (S-ALE) solver in an explicit finite element platform LS-DYNA was applied. Thirty different scenarios, including two different FE models, three different water depths, and five different flow velocities, were studied. Nonlinear structural responses and failure mechanisms of masonry structures were analyzed and compared. Results showed that due to the consideration of wall damage, the time evolution of the impact force on the entire building was distributed in a multipeak pattern. Under the impact of flash floods, the building was in a complex bending-shear state, and the overturning moment was the principal reason for the building damage. The critical role played by the structural measure was reaffirmed. Moreover, the physical vulnerability was quantified through a macroscopic damage index, the lateral drift ratio of the ground floor. It can be concluded that the physical vulnerability depends on both the local structural strength (local view) and the structural resistance hierarchies (global view).

show abstract

Experimental study of the interaction between building clusters and flash floods

Cited by 5 publications

References 12 publications

Investigating the bearing performance of the foundation under the combined effects of flood scouring and soaking

Investigating the bearing performance of the foundation under the combined effects of flood scouring and soaking

Automatic identification of buildings vulnerable to debris flows in Sichuan Province, China, by GIS analysis and Deep Encoding Network methods

Nonlinear Simulation and Vulnerability Analysis of Masonry Structures Impacted by Flash Floods

Contact Info

Product

Resources

About