This paper introduces a new method for the use of tensor-resistive sensors in large spherical storage tank equipment (over 12,000-mm diameters). We did an experiment with 19 petroleum or ammonia product sphere-shaped storage tanks with volumes of 1000 and 1800 cubic meters, respectively. The existing literature only contains experiments based on sensors for tanks with diameters no larger than 600 mm. Based on a number of resistive strain sensor measurements on large spherical pressurized vessels regarding structural integrity assessment, the present paper is focused on the comparison between "real-life" obtained sensor data versus finite element method (FEM) simulation results. The present paper is structured in three parts and examines innovative directions: the use of the classic tensor-resistive sensors in a new approach concerning large structural equipment; an original 3D modeling method with the help of the FEM; and conclusions with possible implications on the regulations, design, or maintenance as a result of the attempt of mutual validation of the new methods previously mentioned.

The paper presents the result of research on choosing of options for technological equipments, processus based on the criteria of effective costs and operational energy. Based on graph theory, the method of selecting the mechanization variant is designed to achieve predictable technical and economic indicators. Thus, the selection stage is the starting point for the technological processes and operational equipment of execution on the working front. In this case, in-situ cold recycling can be optimized with minimal costs and operating power. The proposed graph has as main elements the nodes through which the simple technological processes associated with the variants of the technological equipments used are represented. Each node of the graph contains the following information regarding the machine type, input/output size, evaluation and decision algorithm. Finally, a case study for the Wirtgen equipment recycling technology system is presented.