Theoretical as well as experimental work are conducted to increase our understanding on the behavior of heat transfer and deformation taking place in film blowing of the extrusion process. The film blowing process was simulated by solving the force balance and energy equations established for the blown film moving in upward direction. Low-density polyethylene was employed for carrying out non-isothermal work and some operational parameters were measured. Four non-linear complex differential equations resulted from the balance and the energy equations were solved numerically, using the fifth-order Runge-Kutta method. In this method, considering the effect of gravity on the elevating film made the calculations more precise and reliable. The good agreement, observed between the simulation and experimental results, is a credit to the applicability of the established model in industrial scale. The established mathematical model predicts the bubble shape, temperature profile and film thickness as a function of the distance along the machine axis.

Accurate prediction of the UNIAXIAL compressive strength (UCS) of concrete is crucial for ensuring the safety, durability, and performance of structures in construction. This study presents a predictive model using a multilayer perceptron (MLP), to estimate UCS based on key input parameters such as water-cement ratio, aggregate size, curing time, water and cement content. The MLP model was trained and validated using a dataset comprising 120 cubic laboratory-tested concrete samples (15cm × 15cm × 15cm) with varying compositions for normal construction materials. Performance of the model was evaluated using statistical metrics (split into training and testing sets as 70%-30%), showing that the MLP-based approach provides accurate and reliable predictions compared to traditional regression models. The proposed method offers a practical, efficient tool for geotechnical engineers to assess concrete strength, potentially reducing the need for extensive experimental testing and enhancing quality control in concrete production.

The problem of unbounded UNIAXIAL chiral comega media in the presence of both static electric and magnetic point charges is investigated. For this purpose scalar electric and magnetic potentials in these media are introduced. Using these potentials, the corresponding electric and magnetic fields are determined. The similar problem of static electric and magnetic current sources with the goal of finding the electromagnetic fields is carried out. It is observed that cither static electric or magnetic point charges produce both electric and magnetic fields.

The UNIAXIAL compressive strength (UCS) of intact rocks is one of the key parameters in the course of site characterizations. The isotropy/anisotropy condition of the UCS of intact rocks is dependent on the internal structure of the rocks. The rocks with a random grain structure exhibit an isotropic behavior. However, the rocks with a linear/planar grain structure generally behave transversely-isotropic. In the latter case, the UCS of intact rocks must be determined by a set of laboratory tests on the oriented rock samples. There are some empirical relations available to describe the strength of these rocks. Though characterization of transversely-isotropic rocks is practically a 3D problem, but these relations provide only a 2D description. In this paper, a method is proposed to provide a 3D description of UCS of transversely-isotropic rocks. By means of this formulation, one can determine UCS along with any arbitrary spatial direction. Also, a representative illustration of UCS is proposed in the form of contour-plots on a lower hemisphere Stereonet. The method is applied to an actual case study from the Kanigoizhan dam site located in the Kurdistan Province (Iran). Application of the proposed method to the phyllite rocks of this site show that the direction perpendicular to the dam axis exhibits the most anisotropic behavior. Hence, it is essential to take the strength anisotropy into account during the relevant analysis. The results obtained, together with the statistical variation of UCS, provide a practical approach to select the proper values of UCS according to the scope of the analysis.