Производительность сил траловой системы – V: предсказательное моделирование

Abstract

Predictive modeling (PM) of the trawl system (TS) is a complex, interdisciplinary and cognitive representation of the TS links. Predictive modeling of the vehicle predicts its operational parameters in various conditions (transition, etching of warriors, trawling, hauling of trawl and other processes). It is also possible to process the data of experiments and numerical simulations on the basis of PM together, which is not compatible with mathematical and physical simulations. In the process of designing a vehicle, it is often necessary not only mathematical, physical, but also their predictive modeling. By TS is meant the trawl itself (cable-net section) with rigging, cable equipment, trawl boards, warp, connecting elements, fan winch (trawl winch), rope net drum, sensors (travel horizon, trawl bag filling, strains in the cords, the length of the cords, the opening of the mouth of the trawl, etc.). By predictive modeling (hereinafter referred to as PM) we will mean multiscale interdisciplinary processes occurring in the TS. Predictive modeling of the vehicle is one of the important components of the virtual reality of the vehicle operation and an important module of the software and hardware simulator Tral. There is set the task 
 of predictive modeling of the characteristics of rope-rope products from which rope-net fishing tools of the TS are made. A mathematical model of predictive modeling of structural, geometric and power characteristics of rope-rope products is proposed. Based on the theory of similarity, it is possible to predict the values of the output data with fewer characteristics of rope products. The proposed method allows, without conducting experiments on ropes of large diameter, to determine their basic physical and mechanical properties, those geometric and power characteristics that are necessary for modeling new elements of the vehicle.