Cost Comparison of Traditional Glass Fiber Test Methods and Computer Aided Neural Prediction Supported Systems

Within the complexity of the industrial production strategies, computer aided technologies have been becoming a survival key for company administrators for reducing expenses. Furthermore, new production methods and adaptation of dynamic market requirements force owners to apply computer aided solutions to reduce to production time of goods to the market. Nowadays, prefabricated concrete producers are facing the same problem and trying to apply new solutions to overcome these high costs. In this research, artificial neural networks and traditional glass fiber testing methods were compared to reduce the quality control and assurance processes of prefabricated glass fiber reinforced concrete (GRC) production. 143 different four-point flexural test results of glass fiber reinforced concrete mixes with the varied parameters as temperature, fiber content and slump values were introduced the artificial neural networks models. The proportional limit properties (LOP) of glass fiber reinforced concrete and trained neural network analysis are taken into consideration for comparison. The outcomes of the analysis reflected that there is a strong correlation between the proportional limit of glass fiber reinforced concrete on-site test and the artificial swarm-based optimization algorithm results. Depending on this secure data, on-site test quantities are reduced and checked for cost deduction of traditional test results.

Cost Comparison of Traditional Glass Fiber Test Methods and Computer Aided Neural Prediction Supported Systems

Within the complexity of the industrial production strategies, computer aided technologies have been becoming a survival key for company administrators for reducing expenses. Furthermore, new production methods and adaptation of dynamic market requirements force owners to apply computer aided solutions to reduce to production time of goods to the market. Nowadays, prefabricated concrete producers are facing the same problem and trying to apply new solutions to overcome these high costs. In this research, artificial neural networks and traditional glass fiber testing methods were compared to reduce the quality control and assurance processes of prefabricated glass fiber reinforced concrete (GRC) production. 143 different four-point flexural test results of glass fiber reinforced concrete mixes with the varied parameters as temperature, fiber content and slump values were introduced the artificial neural networks models. The proportional limit properties (LOP) of glass fiber reinforced concrete and trained neural network analysis are taken into consideration for comparison. The outcomes of the analysis reflected that there is a strong correlation between the proportional limit of glass fiber reinforced concrete on-site test and the artificial swarm-based optimization algorithm results. Depending on this secure data, on-site test quantities are reduced and checked for cost deduction of traditional test results.

Application of Tower Girder Asynchronous Construction Technology

When constructing the tower beam in a traditional way, the tower beam will be simultaneously constructed with the tower column, it asks for a complicated construction procedure, difficult construction organization, long operating cycle, and highly increased construction cost. With the progress of technology, Asynchronous construction scheme of the tower column and tower beam is adopted and applied. This paper is based on the case of asynchronous construction of the H-type cable tower and beam of the six large-span Ao jiang Bridges.

Rough Set Extension under Incomplete Information System with “?” Values

Classical rough set theory (RST) can't process incomplete information system (IIS) because it is based on an indiscernibility relation which is a kind of equivalent relation. In the literature a non-symmetric similarity relation based rough set model (NS-RSM) has been introduced as an extended model under IIS with ``?" values directly. Unfortunately, in this model objects in the same similarity class are not necessarily similar to each other and may belong to different target classes. In this paper, a new inequivalent relation called Maximal Limited Consistent block relation (MLC) is proposed. The proposed MLC relation improves the lower approximation accuracy by finding the maximal limited blocks of indiscernible objects in IIS with ``?" values. Maximal Limited Similarity rough set model (MLS) is introduced as an integration between our proposed relation (MLC) and NS-RSM. The resulted MLS model works efficiently under IIS with ``?" values. Finally, an illustrative example is given to validate MLS model. Furthermore, approximation accuracy comparisons have been conducted among NS-RSM and MLS. The results of this work demonstrate that the MLS model outperform NS-RSM.

Analysis of basic design in architectural structure design

In recent years, with the rapid development of urban development and the continuous improvement of people's living standards, China's construction industry has also achieved remarkable development. In order to meet the needs of urbanization, many large buildings and high-rise buildings have been built up. These buildings are usually large, so they put forward higher and higher requirements for the technical level of engineering construction. Whether it is for the stability or safety of buildings, it must be continuously improved. Basic design is a key part of the structural design of a building. For the safety of buildings, natural disasters or accidental injuries can have extremely bad effects on urban development and people's life. This paper briefly discusses the basic design analysis in architectural structure design, and seeks the key technology in this process to provide a guarantee for the safety of the building.

Discussion on construction methods and precautions of building water supply and drainage

As an important construction link in the construction project, the quality of the water supply and drainage directly affects the overall quality of the construction project. Because of the strong function of the water supply and drainage project, the construction quality is easily affected by the construction method. For this reason, construction enterprises should attach importance to the mastery of water supply and drainage construction methods. And further understand the relevant precautions of construction water supply and drainage construction, in order to achieve the purpose of improving the quality of water supply and drainage construction.

Analysis of problems and solutions in safety management of building engineering

The safety of the production process of the construction project will directly affect the personal safety of the construction personnel. Therefore, the safety management of the construction project should be strengthened so as to achieve the goal of sustainable development. This paper studies the problems and solutions in building engineering safety management.

Bending and Vibration Analysis of Curved FG Nanobeams via Nonlocal Timoshenko Model

The bending and vibration behavior of a curved FG nanobeam using the nonlocal Timoshenko beam theory is analyzed in this paper. It is assumed that the material properties vary through the radius direction. The governing equations were obtained using Hamilton principle based on the nonlocal Timoshenko model of curved beam. An analytical approach for a simply supported boundary condition is conducted to analyze the vibration and bending of curved FG nanobeam. In the both mentioned analysis, the effect of significant parameter such as opening angle, the power law index of FGM, nonlocal parameter, aspect ratio and mode number are studied. The accuracy of the solution is examined by comparing the results obtained with the analytical and numerical results published in the literatures.

Construction management of petrochemical process pipeline installation

The petrochemical pipeline installation project is a very complicated project, each link must abide by the construction plan strictly to ensure the smooth operation of the petrochemical process pipeline and the safe operation of the pipeline.However, from the current situation, there are many problems during the installation of petrochemical process pipeline.To solve these problems effectively, we must choose a scientific and rational method, a clear management of the content, a comprehensive consideration of the problem and deal with the problem in time to improve the installation efficiency of petrochemical pipelines and promote the rapid development of petrochemical technology.

Development of Finite Element Solver for Welding Analysis

Welding is a process of joining the similar or different metals. Improper welding process leads to inaccuracies and misalignments of structural members, causing high cost and delays in work. Therefore, it is essential to predict the temperature field during welding process. Different techniques can be used to predict the temperature field, which may lead to structure distortion. The present study aims to develop a finite element solver for transient heat conduction analysis. The final solution is calculated from the assumed solution and compared with the numerical computations. The solver is then modified for use of moving heat source. The modification comprise, change in governing equations with the inclusion of phase change. The moving heat source continuously increases the temperature during motion. When the heat source completes a pass, model is allowed to cool down in order to study the temperature distribution during cooling.