Criteria for multiphysical similarity of the trawl complex

При решении основных задач проектирования и управления тралового комплекса, характеризующие: механические; гидродинамические; грунтодинамические; трибологические; электродинамические; термодинамические; световые; акустические и оптические процессы возникает необходимость обеспечения критериев подобия соответствующих процессов, выполнение автомодельности для сокращения параметров, влияющих на выходные характеристики тралового комплекса. В данной статье рассмотрены критерии мультифизического подобия траловых комплексов (донного и разноглубинного). Критерии мультифизического подобия тралового комплекса определенны с помощью теории мультифизического подобия тралового комплекса. В результате были теоретически обоснованы критерии мультифизического подобия тралового комплекса, на основе которых была разработана программа для ЭВМ «Критерии мультифизического подобия процессов рыболовства». When solving the main problems of design and control of the trawl complex, characterizing: mechanical; hydrodynamic; soil-dynamic; tribological; electrodynamic; thermodynamic; light; acoustic and optical processes, it becomes necessary to provide similarity criteria for the corresponding processes, to perform self-similarity to reduce the parameters that affect the output characteristics of the trawl complex. This article discusses the criteria for the multiphysical similarity of trawl complexes (bottom and midwater). The criteria for the multiphysical similarity of the trawl complex are determined using the theory of the multiphysical similarity of the trawl complex. As a result, the criteria of the multiphysical similarity of the trawl complex were theoretically substantiated, on the basis of which the computer program «Criteria for the multiphysical similarity of fishing processes» was developed.

Real-time monitoring for road-base quality with the aid of buried piezoelectric sensors

The road-base usually deteriorate during service time due to factors such as cyclical traffic loads and road-base fouling. Currently the monitoring method for road-base quality is quite limited. This paper proposes a real-time Monitoring method for Road-Base Quality (MRBQ) based on a soil dynamic model and piezoelectric sensors buried in road-base. The soil dynamic model was extended with a piezoelectric equation to calculate the voltage in the road-base generated by a moving traffic load. Then, a model test was conducted to measure the output voltage of the piezoelectric sensors buried in the road-base. Finally, the road-base modulus was back-calculated through the soil dynamic model with the measured voltage. The back-calculated modulus was compared with the modulus measured by resonance column test (RCT) to validate this method. The unique relationship between the peak voltage and the road-base modulus at various depths was identified for different traffic load amplitudes and speeds, and the feasibility and accuracy of the MRBQ was demonstrated. This study reveals that the sensitivity of the piezoelectric sensors can reach 2 V/MPa, and the error to measure the road-base modulus is less than 20%. The proposed MRBQ demonstrates a good application potential in health monitoring of transportation facilities.