In order to monitor the basic mechanical properties and interior damage of concrete structures,the piezoelectric actuator/sensor based wave propagation method was investigated experimentally in the laboratory using a ...In order to monitor the basic mechanical properties and interior damage of concrete structures,the piezoelectric actuator/sensor based wave propagation method was investigated experimentally in the laboratory using a specifically designed test setup.The energy attenuation of stress waves was measured by the relative index between the output voltage of sensors and the excitation voltage at the actuator.Based on the experimental results of concrete cube and cylinder specimens,the effect of excitation frequencies,excitation amplitude,wave propagation paths and the curing age on the output signals of sensors are evaluated.The results show that the relative voltage attenuation coefficient RVAC is an effective indicator for measuring the attenuation of stress waves through the interior of concrete.展开更多
Nowadays,with increased sensor perception performance for Advanced Driver Assistance Systems(ADAS),scenario-based simulation is becoming more frequent to manage the complexity of reality in terms of cost and time.The ...Nowadays,with increased sensor perception performance for Advanced Driver Assistance Systems(ADAS),scenario-based simulation is becoming more frequent to manage the complexity of reality in terms of cost and time.The perception system provides the basis for the vehicle guidance algorithms calculation,but the simulation of ADAS sensors is a challenging task in virtual testing.Literature reports the magnitude of relevant modelling approaches and data-driven models becoming increasingly important.A basic method is to fit the sensor output in the virtual environment with high-fidelity measurements of real-world scenarios,thus a direct relation can be established between real and synthetic sensor data.To prove the suitability of a method,it is necessary to quantify the gap between simulation and reality to determine the performance of different models.In this work,authors address this problem and visualize the gap by introducing a multi-level evaluation approach that combines Model Generalization Ability Evaluation and Case Implicit Performance Evaluation.The former directly evaluates the model’s overall performance,while the latter is used for specific cases in simulation.The study shows that this combined evaluation approach provides an in-depth framework for evaluating sensor models to make the differences apparent.展开更多
基金Funded by the National Natural Science Foundation of China (No.50708065)the National High-tech R&D Program(863 Program )(No.2007-AA-11-Z-113)the Key Projects in the Science and Technology Pillar Program of Tianjin(No.11ZCKFSF00300)
文摘In order to monitor the basic mechanical properties and interior damage of concrete structures,the piezoelectric actuator/sensor based wave propagation method was investigated experimentally in the laboratory using a specifically designed test setup.The energy attenuation of stress waves was measured by the relative index between the output voltage of sensors and the excitation voltage at the actuator.Based on the experimental results of concrete cube and cylinder specimens,the effect of excitation frequencies,excitation amplitude,wave propagation paths and the curing age on the output signals of sensors are evaluated.The results show that the relative voltage attenuation coefficient RVAC is an effective indicator for measuring the attenuation of stress waves through the interior of concrete.
基金funding provided by Graz University of TechnologyFunding by the Graz University of Technology+1 种基金This activity is part of the research project InVADE(FFG nr.889349)funding from the program Mobility of the Future,operated by the Austrian research funding agency FFG.
文摘Nowadays,with increased sensor perception performance for Advanced Driver Assistance Systems(ADAS),scenario-based simulation is becoming more frequent to manage the complexity of reality in terms of cost and time.The perception system provides the basis for the vehicle guidance algorithms calculation,but the simulation of ADAS sensors is a challenging task in virtual testing.Literature reports the magnitude of relevant modelling approaches and data-driven models becoming increasingly important.A basic method is to fit the sensor output in the virtual environment with high-fidelity measurements of real-world scenarios,thus a direct relation can be established between real and synthetic sensor data.To prove the suitability of a method,it is necessary to quantify the gap between simulation and reality to determine the performance of different models.In this work,authors address this problem and visualize the gap by introducing a multi-level evaluation approach that combines Model Generalization Ability Evaluation and Case Implicit Performance Evaluation.The former directly evaluates the model’s overall performance,while the latter is used for specific cases in simulation.The study shows that this combined evaluation approach provides an in-depth framework for evaluating sensor models to make the differences apparent.
