Earth reinforcing techniques have become useful and economical to solve problems related to difficult grounds and provide satisfactory foundation performance. In this context, this paper uses radial basis function neural network (RBFNN) for predicting the bearing pressure of strip footing on reinforced granular bed overlying weak soil. The inputs for the neural network models included plate wid...

Stribeck’s publications ‘Kugellager für beliebige Belastungen’ and ‘Die wesentlichen Eigenschaften der Gleitund Rollenlager’ were remarkable for their time. Many of the findings were revolutionary and are still considered quite modern. The method used by Stribeck to calculate load distribution between the balls within a ball bearing is still used today, otherwise, a full finite element analysis...

In order to cope with the influences of noise interference and variable load on rolling bearing fault diagnosis in real industrial environments, a method based CBAM_ResNet ACON activation function is proposed. Firstly, collected working vibration signals are made into input samples retain original features maximum extent. Secondly, model constructed. By taking advantage convolutional neural net...

Insects are a prime source of inspiration towards the development of small-scale, engineered, flapping wing flight systems. To help interpret the possible energy transformation strategies observed in Diptera as inspiration for mechanical flapping flight systems, we revisit the perspective of the dipteran wing motor as a bistable click mechanism and take a new, and more flexible, outlook to the ...

Naturally occurred soil deposits inherit heterogeneity and anisotropy in their strength properties. The main purpose of this paper is to model the soil stratum with anisotropy consideration and spatially varying undrained shear strength by using random field theory coupled with finite difference numerical analysis to evaluate their effect on the bearing capacity of the shallow foundations. In t...