With the rapid development of construction industry, there are more and deep large foundation pit projects with complex architectural environment geological conditions. Deformation monitoring in as a basic element engineering quality assurance is becoming important. At present, management expression form data still stays stage two-dimensional curve expression, it can not reflect deformation rea...

Beams supported by elastic foundations are one of the complex soil-structure interaction problems that have been studied using "beam on foundation" concept. To support loads, structural foundation and soil continuum must work together. The development more accurate model simpler procedure critical for safety cost-effective construction such type structure. Three nodded beams based Timoshenko be...

We argue that seemingly deep-seated partisan divisions may be built on a foundation of surprising consensus, not only in terms of the wealth distributions that people prefer (Norton & Ariely, 2011, this issue), but also in the gut-level moral reactions and beliefs about money and happiness that may underlie those preferences.

In this study, the effect of deep excavation on the seismic response of RC moment resisting building systems has been studied. Deep excavation can cause significant changes in the stress and strain levels of soil environment and also changes in the propagation of seismic waves. This leads to permanent displacements in the foundation system. In this study, three RC building systems, i.e. 5, 10, ...

This paper presents a network theoretical approach to analog DC-fault diagnosis. The developed approach efficiently localizes the fault and identifies the corresponding fault characteristic with standard circuit simulators. Furthermore, the theoretical foundation of our method offers a deep understanding for DC-fault diagnosis and clearly shows the limits for fault diagnosis techniques.

Modeling data via artificial neural networks (ANN) is not a new concept. Most of the underlying techniques have been known since the 1940s. It has to be pointed out though that a series of recent advances in how the networks are trained and utilized form the foundation of today's Deep Learning ecosystem. It is a fair statement that the recent advances brought forward by Deep Learning reflect a ...