SLIP SURFACE IN A CLAY-SAND MIXTURE SLOPE TEST USING SCALED LABORATORY MODELS

AbstractInterferometric Synthetic Aperture Radar (InSAR) enables detailed investigation of surface landslide movements, but it cannot provide information about subsurface structures. In this work, InSAR measurements were integrated with seismic noise in situ measurements to analyse both the surface and subsurface characteristics of a complex slow-moving landslide exhibiting multiple failure surfaces. The landslide body involves a town of around 6000 inhabitants, Villa de la Independencia (Bolivia), where extensive damages to buildings have been observed. To investigate the spatial-temporal characteristics of the landslide motion, Sentinel-1 displacement time series from October 2014 to December 2019 were produced. A new geometric inversion method is proposed to determine the best-fit sliding direction and inclination of the landslide. Our results indicate that the landslide is featured by a compound movement where three different blocks slide. This is further evidenced by seismic noise measurements which identified that the different dynamic characteristics of the three sub-blocks were possibly due to the different properties of shallow and deep slip surfaces. Determination of the slip surface depths allows for estimating the overall landslide volume (9.18 · 107 m3). Furthermore, Sentinel-1 time series show that the landslide movements manifest substantial accelerations in early 2018 and 2019, coinciding with increased precipitations in the late rainy season which are identified as the most likely triggers of the observed accelerations. This study showcases the potential of integrating InSAR and seismic noise techniques to understand the landslide mechanism from ground to subsurface.

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A novel method for locating the critical slip surface of a soil slope

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2020.103733 ◽

2020 ◽

Vol 94 ◽

pp. 103733 ◽

Cited By ~ 1

Author(s):

S.H. Li ◽

L.Z. Wu ◽

X.H. Luo

Keyword(s):

Slip Surface ◽

Soil Slope ◽

Critical Slip Surface ◽

Novel Method

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Untapped research opportunities in China: promising future avenues and potential concerns for aging companion animals

GeroScience ◽

10.1007/s11357-021-00433-y ◽

2021 ◽

Author(s):

Jessica M. Hoffman ◽

Shanshan Song ◽

Katharina Brugger ◽

Teresa G. Valencak

Keyword(s):

Large Scale ◽

Companion Animals ◽

Companion Animal ◽

The European Union ◽

Pet Ownership ◽

Ethical Considerations ◽

Aging Research ◽

Agricultural Animal ◽

The Usa ◽

Laboratory Models

AbstractCompanion animals have recently been proposed as ideal translational models of human aging due to their shared susceptibility for certain diseases, similar environments, and sophisticated veterinary medicine diagnostics, all of which are not possible in rodent laboratory models. Here, we introduce and propose the study of companion animals in China as a largely untapped resource in academic and veterinary aging research. Pet ownership rates along with economic gains in the pet industry have skyrocketed over the last decade in China. Yet, the majority of research institutions still focus on agricultural animal research, not companion animals. In this perspective, we compare available pet ownership rates between the USA, the European Union, and China before focusing on the potential of companion animal aging research in China. In addition, we highlight some ethical considerations that must be addressed before large-scale companion animal aging research can be completed.

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Genetic Algorithm for Searching for Critical Slip Surface in Gravity Dams Based on Stress Fields

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.790.146 ◽

2013 ◽

Vol 790 ◽

pp. 146-149

Author(s):

Jian Yun Chen ◽

Shu Wang ◽

Qiang Xu ◽

Jing Li

Keyword(s):

Genetic Algorithm ◽

Slip Surface ◽

Safety Evaluation ◽

Fem Analysis ◽

Stress Fields ◽

Gravity Dam ◽

Critical Slip Surface ◽

Gravity Dams ◽

Sliding Stability ◽

Search Program

Currently, the safety evaluation of gravity dam concentrates on stress and anti-sliding stability of the dam. A lot of research shows that the upper area of the dam is one of the whole dams weakest areas during an earthquake and should be studied in details. In this study, the genetic algorithm and non-linear FEM analysis are combined, then a search program is written to search the critical slip surface in the dams upper area. Finally, the surface which has the least anti-sliding stability coefficient is obtained, the most dangerous slip surface and its anti-sliding coefficient as well as the corresponding time are acquired to evaluate the safety of the dam.

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