Beam-column joints require a high ductility during the unexpected loadings that necessitate the need for ductile concrete in such unprotected locations. Alternatively, self-compacting concrete (SCC) is a sort of concrete ...

A number of recent researches have compared machine learning techniques to find more reliable approaches to solve variety of engineering problems. In the present study, capability of canonical genetic programming (GP) ...

Rainfall is considered the hardest weather variable to forecast, and its cause-effect relationships often cannot be expressed in simple or complex mathematical forms. This study introduces a novel hybrid model to month ...

In this paper, wavelet transform coherence is implemented to examine the impacts of hydroclimatological variables on water level fluctuations in two large saline lakes in the Middle East with a similar geographical location, ...

Unmanned aerial vehicles (UAVs) are used to physically interact with humans and urgent data collection in a shared workspace. They are flying collaborative robots that can be remotely supervised through a software-controlled ...

Brittle behavior of substandard columns during earthquakes is among the most common reasons of structural failures. Because capacity design principles and ductile detailing concepts have not been properly adopted during ...

A precise forecast of streamflow in intermittent rivers is of major difficulties and challenges in watershed management, particularly in arid and semiarid regions. The present research study introduces an ensemble gene ...

Plastic pipes, especialiy polyethylene pipes have grown to become one of the freguently utilized material in pipeline systems owing to its advantages of corrosion, biological and chemical resistance over traditional metal ...

At present, there is no accepted standard by highway authorities on the compaction procedures of 100 mm-diameter gyratory compactor specimens. In previous studies on gyratory compaction, the method of either coring from ...

Emotional artificial neural network (EANN) is a cutting-edge artificial intelligence method that has been used by researchers in the engineering and medical sciences over the recent years. First introduced in the 1999s, ...