& Materials, 710:83-90, 2014.
6. X. Qian, S. Zhang, S. Swaddiwudhipong, et al. Temperature dependence of material length scale for strain gradient plasticity and its effect on near-tip opening displacement. Fatigue & Fracture of Engineering Materials & Structures, 37(2):157-170, 2014.
7. R. Ghorbani, F. Matta, M. A. Sutton. Full-Field Deformation Measurement and Crack Mapping on Confined Masonry Walls Using Digital Image Correlation. Experimental Mechanics, 55(1):227-243, 2014.
8. Chu et al. Applications of digital-image-correlation
The compressive strength and water absorption of cement mortars with different water-binder ratio (0.35, 0.45 and 0.55) and fly ash content (0, 10%, 20% and 30%) under water immersion were investigated, and the correlation between them was further analyzed. The internal microstructure and phase composition of mortar was studied by scanning electron microscopy (SEM) and X-ray diffraction (XRD), respectively. The results show that the inside of mortar mixed with fly ash displayed the loose and porous microstructure. Therefore, the incorporation of fly ash reduced the compressive strength of mortar, especially the early strength, and the strength decreased with the increase of fly ash content, and the water absorption of mortar also increased. There was a linear correlation between the compressive strength and water absorption of mortar with the equation: fc = −3.838β + 62.332, where fc and β represented the compressive strength and water absorption, respectively. Therefore, when the water absorption of mortar immersed in water was measured, its corresponding compressive strength could be preliminarily inferred through this equation, which was of great significance for detecting and identifying the stability and safety of hydraulic structures.
 Zhao, X., Luo, Q., Han, B. (2009). A novel ultrasonic ranging system based on the self-correlation of pseudo-random sequence. In International Conference on Information and Automation (ICIA '09) . IEEE, 1124-1128.
 Granja, F., Jimenez, A.R. (2006). Ultrasound modulation and codification for localization systems. In New Acoustics: Selected Topics II . Biblioteca de Ciencias, 167-186.
 Xie, Q., Cheng, S., Lu, F. (2013). Partial discharge location in oil using ultrasonic phased array. Przegląd Elektrotechniczny , 89 (3b), 84
-Carlo simulation. Talanta , 64, 415-422.
 Pertile, M., De Cecco, M. (2008). Uncertainty evaluation for complex propagation models by means of the theory of evidence. Measurement Science and Technology , 19, 1-10.
 Wubbeler, G., Harris, P.M., Cox, M.G., et al. (2010). A two-stage procedure for determining the number of trials in the application of a Monte Carlo method for uncertainty evaluation. Metrologia , 47, 317-324.
 Li, S.T., Hammond, J.L. (1975). Generation of pseudo random numbers with specified univariate distributions and correlation coefficients
Electrical capacitance tomography (ECT) is considered to be a competitive measurement method. The imaging objects in ECT measurements are often in a time-varying process, and exploiting the prior information related to the dynamic nature is important for reconstructing high-quality images. Different from existing reconstruction models, in this paper a new model that incorporates the spatial correlation of the pixels by introducing the radial basis function (RBF) method, the dynamic behaviors of a timevarying imaging object, and the ECT measurement information is proposed to formulate the dynamic imaging problem. An objective functional that exploits the spatial correlation of the pixels, the combinational regularizer of the first-order total variation (FOTV) and the second-order total variation (SOTV), the multi-scale regularization, the spatial constraint, and the temporal correlation is proposed to convert the ECT imaging task into an optimization problem. A split Bregman iteration (SBI) method based iteration scheme is developed for solving the proposed objective functional. Numerical simulation results validate the superiority of the proposed reconstruction method on the improvement of the imaging quality.
The selection of the formwork system for high rise building affects the entire construction project duration and cost. The study reports the factors influencing the selection of different formwork system in the construction of high rise buildings through structural questionnaire survey from the client, contractor, consultant, and interviews with expert members. Total of 40 technical factors was identified from the literature and 220 filled questionnaires were received from the respondent. Relative Importance Index method is used to find the topmost factors affecting the selection of formwork system. Additionally, from factor analysis 22 factors were identified to have a correlation with one another. Regression analysis reveals that duration of the project, maintenance cost, adaptability, and safety have impact on formwork selection across time, cost and quality. These findings could potentially increase the construction company’s existing knowledge in relation to formwork selection.
O. Giuffrè, A. Granà, T. Giuffrè, R. Marino and S. Marino
13. O. GIUFFRÈ, A. GRANÀ, T. GIUFFRÈ, R. MARINO, Improving reliability of road safety estimates based on high correlated accident counts, Transportation Research Record, 2019, 197-204, 2007.
14. O. GIUFFRÈ, A. GRANÀ, F. CORRIERE, R. MARINO, Handling under-dispersion in calibrating Safety Performance Function at urban, four-leg, signalized intersections, Journal of Transportation Safety & Security, 3, 3, 174-188, 2011.
15. O. GIUFFRÈ, A. GRANÀ, T. GIUFFRÈ, R. MARINO, Accounting for Dispersion and Correlation in Estimating Safety
in the measurement of particle-laden flows. Powder Technology, 318, 491-500.
 Mosorov, V. (2008). Flow pattern tracing for mass flow rate measurement in pneumatic conveying using twin plane electrical capacitance tomography. Particle & Particle Systems Characterization, 25 (3), 259-265.
 Zhang, L., Wu, X. (2006). On the application of cross correlation function to subsample discrete time delay estimation. Digital Signal Processing, 16, 682-694.
 Beck, M.S., Pląskowski, A. (1987). Cross-Correlation