Dos Santos, Serge; Institut National des Sciences Appliquees Centre Val de Loire; France
Dos Santos, S.; INSA Centre Val de Loire; France
Prevorovsky, Z.; Institute of Thermomechanics AS; Czech Republic
Mattei, C.; Creo Dynamics AB; Sweden
Vengrinovich, V.; Institute of Applied Physics; Belarus
Nardoni, G.; I&T Nardoni Istitute; Italy
Wrights, J.; Theta Technologies Ltd; United Kingdom
The growing interest for nondestructive testing (NDT) methods based on nonlinear acoustic effects in solids has increased continuously since the first studies in the early 1980s. It has been shown that micro-inhomogeneities such as cracks lead to an anomalously high level of nonlinearity and dispersion. In particular, nonlinear ultrasonic (US) has become increasingly important due to the increase of higher sensitivity of electronic instrumentation and its associate signal processing algorithms. NDT is now widely recognized as an own field of science and technology covering a very broad range of industrial applications. Instrumentation needs basics from applied physics and will concern all disciplines of engineering, including applied mathematics, computer science, modern automation and robotics for Industrie 4.0.
The nonlinearity of materials results in nonlinear effects, which arise from defects in the materials. Applications include nonlinear nondestructive testing (NDT), harmonic medical ultrasound imaging and development of new materials such as nanocomposite. One of the strategic plan of the international NDT community is to define standards for developing nonlinear NDT for automated set-up in mass production.
The main perspective of this workshop is contact and non-contact characterizations of materials and structures for modern NDT 4.0 based industries. In many cases results, measured with NDT techniques, cannot be turned directly into object parameters under search. Examples: stress value determined by magnetic technique, or high height building stability determined with multi-sensor set, having in the output a big data matrix. In this case one have to establish nonlinear mapping of measured data with critical object’s parameters. This needs big data reduction and mapping of reduced data with critical parameters of an object, the last modeling being always nonlinear. The solution of this multi-problem could help to come to different understanding of NDE problems considering safety of big objects like civil structures.
The objective of this workshop will be used to prepare a guideline for application of this technique. The working plan is to analyze strengths, weaknesses, opportunities and threats (SWOT) within the area of experimental nonlinear NDT.