Analysis of Durability Of High Performance Concrete Using Artificial Neural Networks
The essence of high performance concrete (HPC) emphasizes three main characteristics namely active mineral additives like fly ash, silica fume & super plasticizers apart from three basic ingredients i.e.; cement, aggregate & water in conventional concrete. They have been incorporated to make highly workable ,high strength and durable concrete. HPC design seems more complicated due to more number of ingredients. Maintaining a low water -binder ratio with adequate workability is more complicated. Traditionally expert civil engineers can produce HPC mix proportions by using empirical results from previous research plus their experience to achieve required performance. But the number of components in the making of concrete has gone up to 10. This makes the empirical methods insufficient as the number of properties to be investigated has gone up as well.
During the training session of a neural network, an input stimulus is applied that results in an output response. The response is compared with the target response. If the actual response differs from the target response, the neural network generates an error signal, which is then used to calculate the adjustment that should be made to the network synaptic weights so that the actual output matches the target output. In other words, the error is minimized, possibly to zero. The two commonly used learning techniques are the Delta rule and Gradient Descend rule.
The Delta rule is based on the idea of continuous adjustments of the value of the weights such that the difference of the error (delta) between the desired output value and the actual output value of a processing element is reduced. This is also known as the Widrow-Hoff learning rule.
In the Gradient Descend rule, the values of the weights are adjusted by an amount proportional to the first derivative (the gradient) of the error between the desired output value and the actual output value of a processing element, with respect to the value of the weight.
Experimental Program And Data Collection
The first step in developing the network is to obtain good and reliable training and testing examples. To obtain the data for developing the neural network models, a database of high strength and durable concrete is produced by collecting the data sets from experiments by Parichatprecha combined with data sets from previous researches . The influence of using different pozzolanic materials, cement content, and water-to-binder ( W / B ) ratios on the durability of concrete was experimentally investigated by measuring the charge passed of concrete in accordance with ASTM C1202-97. The workability of concrete expressed in terms of slump was kept constant by varying the dosage of superplasticizer based on poly-carboxylic ether (PCE). Two types of pozzolanic material were used, namely pulverized fly ash and a combination of pulverized fly ash and condensed silica fume. The cementitous materials were varied from 400-550 kg/m 3 with W / B ranging from 0.3 to 0.4. Control specimens without pozzolanic materials of concrete were also cast and tested for comparison. ASTM C1202-97 Rapid Chloride Permeability Test (RCPT) was used in this experimental program for hardened concrete.
You may also like this : Concrete Admixtures, Prestressed Concrete, Effect of cement replacement by Silica fume and fly ash, Self Compacting Concrete, Concepts Of Shotcrete Technology, Rainwater Harvesting, Hazardous Waste Managment, Noise Control Of Buildings, Submerged Floating Tunnel, Earthquake Resistant Building Construction, Geopolymeric Building Materials, Stone Mastic Asphalt, Burj Khalifa, Stress Ribbon Bridge, Polymer Modified Steel Fibre Reinforced Concrete, Significance Of Nanotechnology In Construction Engineering, Analysis of Durability Of High Performance Concrete , Control Of Corrosion On Underwater Piles, Demolition Of Building, DIAGRID , Drip Irrigation, Tensegrity Structures And Their Application To Architecture,Civil Engineering Seminar Reports, PPT and PDF.
Labels : Civil Engineering Seminar Topics, Civil Engineering Seminar Topics with Abstract and Report, Civil Engineering Seminar Topics 2009|2010|2011|2012, Civil Engineering Seminar Topics PDF PPT, Civil Engineering Handbook, Civil Engineering Seminar Topics Blog, Latest Seminar Topic for Students Blog, List Civil Engineering Seminar Topics, Civil Seminar Topics Free Download, Latest Civil Seminar Topics PPT, Civil Seminar Topics PDF, Civil Seminar Topics PPT, Civil Seminar Topics or Ideas, Civil Engineering Research Topics or Ideas, Civil Engineering Thesis Topics or Ideas