Уважаемые коллеги, доброго времени суток! Представляем вам американское научное издание Tire Science and Technology. Журнал имеет четвёртый квартиль, издается в Tire Society Inc., его SJR за 2020 г. равен 0,184, печатный ISSN - 0090-8657, электронный - 1945-5852, предметные области - Автомобильная техника, Общее машиностроение, Инжиниринг, Полимеры и пластик, Сопротивление материалов. Вот так выглядит обложка:
Редактором является Михаэль Калишке, контактные данные - Michael.Kaliske@tu-dresden.de.
Tire Science and Technology Journal (TST) выходит ежеквартально и является ведущим мировым научным журналом, посвященным шинам. Оригинальные вклады, а также обзорные статьи касаются развития и применения экспериментальных, аналитических или вычислительных наук, связанных с шинами. TST требует, чтобы все статьи перед публикацией проходили всестороннюю рецензирование для поддержки высоких научных стандартов журнала.
Адрес издания - https://meridian.allenpress.com/tst
Пример статьи, название - Vision on a Digital Twin of the Road-Tire-Vehicle System for Future Mobility. Заголовок (ABSTRACT) - Innovative trends such as autonomous cars and smart vehicles have gained increasing attention and will form a new mobility technology. At the same time, the appearance of smart tire systems will give rise to better tire performance, better vehicle control, and the enhancement of current intelligent systems for autonomous vehicles. In contrast, innovations for the road system, which must carry the increasing traffic loads, have been rare in recent years. However, to solve current and future challenges of mobility related to road transport (e.g., durability, safety, efficiency, ecology, cost, etc.), the potential for innovative trends and digitalization of all interacting components—vehicle, tire, and road—should be used to change the industrial ecosystem and paradigm of transport in human life. The vision of a digital twin of the road system, which is the digital/virtual image (reality model in space and time) of the vehicle, tire, and roadway, would enable, among other aspects, the future pioneering condition predictions of single components (ranging from manufacturing, service to failure state), targeted traffic control, optimal synthesis of building materials and structures, interfaces to automated driving, as well as reduction in emissions. The digital twin of the road system contains and combines all available and relevant information about the “road of the future” system from physical examinations and modeling as well as from data-driven models and further available data (e.g., real-time sensor data from the vehicle, tire and road sensors, data models, etc.). This contribution presents the current state of research, tasks, and challenges toward achieving the digital twin of the road system as well as the potential of the digital twin for future mobility. Keywords: digital twin, future mobility, vehicle-tire-road interaction