Analysis of the influence of temperature variation on condensation crispness properties of metal materials

Abstract

The temperature variation have a larger effect on metal material condensation crispness properties, its impact is nonlinear, and the method for measuring the effect of temperature variation on metal material condensation crispness based on least square method is raised. The ultrasonic technology is utilized to collect related signal of metal material condensation crispness. The correlation between ultrasonic spectroscopy is calculated, and the relationship analysis model of the temperature changes and the metal material condensation crispness is given, to complete the measurement experiment for the effect of temperature change on the metal material condensation crispness. The experimental results show that, on the basis of the proposed algorithm to measure the effect of temperature variations on metal material condensation crispness, can greatly improve the accuracy of measurement, so as to meet the needs of practical applications. Introduction With the development of the construction industry, the construction safety requirements are also getting higher and higher [1]. Metal material as a main building materials, the condensation crispness is core factor influencing construction quality [2]. A large number of studies show that, temperature variation have great effect on metal material condensation crispness [3]. Therefore, in order to ensure the quality of construction, the effect of temperature variation on metal material condensation crispness have to be measured precisely [4]. Thus, measurement method of the effect of temperature variation on metal material condensation crispness, has become the core problem need to be researched in the construction field, and attracts the attention of many experts and scholars [5]. At current stage, the main measuring method of the effect of temperature variation on metal material condensation crispness includes the measurement method based on the feature spectrum algorithm, the measurement method based on image difference algorithm, the measurement method based on infrared signal [6-8]. The measurement method of effect of temperature variation on metal material condensation crispness plays a vital role on construction safety, therefore, has a broad space for developing [9]. With the traditional measurement method based on infrared signal to measure the effect of temperature variation on metal material condensation crispness, due to the uncertainty of temperature variation, the effect of temperature variation on metal material condensation crispness is non-linear, resulting in inaccurate traditional measuring method [10]. The optimization of measurement method for the effect of temperature variation on metal material condensation crispness With the traditional measurement method to measure the effect of temperature variation on metal material condensation crispness, due to the uncertainty of temperature variation, the effect of temperature variation on metal material condensation crispness is non-linear, resulting in inaccurate traditional measuring method. To this end, a measurement method for the effect of temperature variation on metal material condensation crispness based on least square method is proposed. The measuring method for metal material condensation crispness During the measuring process of temperature variation on metal material condensation crispness, the covering area of the building is ( , )( 1,2, , ) k k y z k p =  , the corresponding feature space can be International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2015) © 2015. The authors Published by Atlantis Press 1285 expressed by 1 2 { , , , } p span κ η η η =  , according to the following formula to calculate the square difference of metal material condensation crispness measurement error: 2 2 * 2 2 0 0 [ ( ) ] p p k k k k k U y z e e = = = = − ∑ ∑ 2