In this research, two methods for crack detection in structures are presented and compared. The considered structure is a cantilever beam with rectangular cross section. In order to find cracks, firstly, a new technique based on wavelet analysis and finite element method (FEM) is applied. The advantage of this technique is that the crack detection process is more clear and comfortable than previous works. Then the process of crack detection is performed using FEM and combination of two types of artificial neural network (ANN) including radial basis function (RBF) and back-error propagation (BEP) neural networks. For crack identification in the proposed method, firstly, a RBF neural network is used to detect the number of cracks of structure. Then a BEP neural network is trained to detect the locations of cracks. Training of neural networks is performed using obtained data from FEM. Finally obtained results from two methods are compared with each other.
- Inderscience Publishers
- Applying artificial neural network and wavelet analysis for ...
Volumetric Analysis & Three-Dimensional Visualization of Industrial Mineral Deposits
AbstractBase and precious metal deposits are typically characterized by a single parameter such as the total weight of mineable gold. Industrial mineral deposits, on the other hand, are characterized by their end-use. For example, the volumetric evaluation of a limestone deposit depends upon who’s buying the product. The concrete industry has a suite of evaluation parameters such as silica content and abrasion coefficients. Conversely, pharmaceutical-grade limestone buyers are more focused on the calcium/magn...
Oil Analysis for Hydraulic Systems
Hydraulic systems are used in industrial, mobile and aviation applications to transmit power to operate equipment. They are incredibly efficient, compact, and lightweight relative to a mechanical equivalent. Hydraulic fluids transmit force in the system, and as such are carefully chosen by the system maker. Chemical stability, high flash and fire points, viscosity, and oxidation resistance are all valued, and as a result mineral and synthetic hydrocarbon fluids are selected for mobile and industrial systems,...
Sample preparation is the key to quality analysis with a laser analyser
Sample preparation is the most important step of any chemical analysis. To get the best results with any elemental alloy analyser regardless of the technology, the sample must be clean before taking a measurement. Otherwise the results are always compromised at least to some extent. The effect of dirty surfaces will vary and some technologies are more forgiving to sample surface conditions than others. How well an analyser can tolerate dirty surfaces depends on many variables such as the nature of physical...
Parameters controlling chemical deposits in micro-irrigation with treated wastewater
Micro-irrigation with treated wastewater has the potential to be the most efficient irrigation technique, especially in water scarce areas. Its main disadvantage is the high sensitivity of the drippers to clog. This study focused only on the chemical precipitation mechanisms. In a batch chemical process in parallel with PHREEQC software, two temperatures (22 and 55°C), four pHs (8, 8.5, 9 and 9.5) and CO2 partial pressure were tested. The aim was to analyze the quantity of precipitates and their crystalline...
Application note issue #5 - Cement Analysis August 2017
Cement analysis using FP program (Fundamental Parameters) Cement is a blend of several minerals. It is critical to control the elemental composition and properties such as strength, setting, time and color. ED-XRF is being used to analyze the raw components, raw meal, clinker, and the final cement product (Na, Mg, Al, Si, S, K, Ca, and Fe in Cement, Clinker, and Raw Meal).XRF is at the heart of the control of the production process in any modern cement works and is central to the ability of the cement maker...