Papers by Author: Yu Song Lu

Abstract: Concrete quality evaluation is an important basic work for the concrete environmental management and protection. This paper presents a new concrete quality monitoring method based on principal component analysis-wavelet neural network combined model. First, the establishment of concrete quality evaluation index system, and then using principal component analysis to remove the relevance, overlap information of indicators, the representative indexes obtained were standardized and imported into the wavelet network neural model, the results of network study that used for the concrete quality comprehensively monitoring

Abstract: The use of fly ash is in harmony with the concept of sustainable development. This paper discusses the effect of replacing ratio of fly ash (FA), ambient relative humidity, temperature, curing age and w/c on carbonation of concrete made with low-volume FA. The process was accelerated in artificial carbonation laboratory by controlling 20% concentration of CO2, temperatures from 20°C to 60 °C and 30%-70% relative humidity. The contrastive results show that the carbonation model for predict carbonation depth has a nice performance.

Abstract: Seeking for a scientific and reasonable predict model is the key point to ensure accurate and reliable prediction results for the land subsidence. In this paper, the research of subsidence area pointed out by picks the process of land subsidence which causes by the water reservoir that conforms to the characteristic of nonlinear dynamics, thus, a new model is established to solve the combinatorial weighted coefficients by using the predict precision, and a simple method is introduced to solve the grey model and neural network combination forecast model. Based on many examples, the new cusp catastrophe land subsidence model is proved to be very effective and much more accurate.