Geotechnical Engineering

Absolutely Yes, factors of seepage are very important to determine before the construction of a dam or even after the construction of the dam for maintenance work.

Electrical resistivity method is used to determine the amount of seepage and depth of seepage.

As a civil engineer, it’s our responsibility to provide higher safety.

Seepage under the embankment is very much dangerous as compared to concrete dams because embankments are built on a very soft material which is easily scoured and it is very vulnerable for the influence of water.

On other side concrete dam, is built on hard strata and even the defective dam which not the endangered by passing of water from the underside.

Following are the methods for controlling  seepage

1. Providing drainage
2. By reducing the seepage with some proper methods.
3. Largely use of filters for preventing the piping and heave

Hi,

Geotechnical engineering deals with materials (e.g., soil and rock) that, by their very nature, exhibit varied and behavior due to the physical processes associated with the formation of these materials. Modeling such materials’ behavior is complicated and usually beyond the ability of most traditional forms of physically-based engineering methods. Artificial intelligence (AI) is becoming more popular and particularly amenable to modeling most geotechnical engineering materials’ complex behavior because it has demonstrated superior predictive ability compared to traditional methods. Over the last decade, AI has been applied successfully to virtually every problem in geotechnical engineering. However, despite this success, AI techniques are still facing classical opposition due to some inherent reasons such as lack of transparency, knowledge extraction, and model uncertainty, which will discuss in detail in this chapter. Among the available AI, techniques are artificial neural networks (ANNs), genetic programming (GP), evolutionary polynomial regression (EPR), support vector machines, M5 model trees, and K-nearest neighbors (Elshorbagy et al.,2010). This chapter will focus on three AI techniques, including ANNs, GP, and EPR.