This paper performs an experimental study for inverse load reconstruction. By measuring and analyzing the load characteristics of different home and office electric devices, the author shows that a reconstruction of t...This paper performs an experimental study for inverse load reconstruction. By measuring and analyzing the load characteristics of different home and office electric devices, the author shows that a reconstruction of the individual power consumption of different loads from the total measurement of a single power meter is possible.展开更多
In hybrid model testing technique,model tests are primarily used to verify numerical models which is used to predict the responses of full-depth systems.However,hybrid model testing method based on potential flow theo...In hybrid model testing technique,model tests are primarily used to verify numerical models which is used to predict the responses of full-depth systems.However,hybrid model testing method based on potential flow theory highly rely on the accuracy of mathematical model,facing challenges in accurately predicting full-depth responses with viscous effects,such as flow-induced motion.To solve the problem,a method for predicting motions of full-depth system is proposed based on the inverse reconstruction of the environmental loads from the truncated model test,considering viscous and nonlinear effects on platform.To validate the method,a series of model tests were conducted for a semi-submersible platform in head seas using both truncated and full-depth mooring systems to validate the method.The environmental loads could be extracted accurately via the inverse reconstruction method under different environmental conditions,including 100-year-return-period wave-only,current-only,coupled wave,wind,and current conditions.The results of time history,statistics,and power distribution show that the proposed method has better performance than conventional method of hybrid model test in situations where viscous effects are obvious.展开更多
Wave impact under extreme sea conditions poses significant risks to offshore structures,such as the pontoons of floating wind turbines.Monitoring the structures and inverting the impact loads are crucial for structura...Wave impact under extreme sea conditions poses significant risks to offshore structures,such as the pontoons of floating wind turbines.Monitoring the structures and inverting the impact loads are crucial for structural safety design.In this study,an indirect approach is proposed for the localization and reconstruction of waves impacting flat plates,curved plates and floating wind turbine pontoons.For impact load localization,the correlation dimension method and the long short-term memory(LSTM)neural network method are employed.The correlation dimension method achieves accurate localization results only for flat plates,whereas the LSTM method shows good performance for all structures.For load time history reconstruction,the Tikhonov regularization method is applied.Reconstruction is achieved with very high accuracy.This work can provide guidelines for inverse estimation of environmental loads acting on offshore structures.展开更多
A fast physics analysis framework has been developed based on SNi PER to process the increasingly large data sample collected by BESⅢ.In this framework,a reconstructed event data model with Smart Ref is designed to i...A fast physics analysis framework has been developed based on SNi PER to process the increasingly large data sample collected by BESⅢ.In this framework,a reconstructed event data model with Smart Ref is designed to improve the speed of Input/Output operations,and necessary physics analysis tools are migrated from BOSS to SNi PER.A real physics analysis e~＋e^-→ π~＋π^-J/ψ is used to test the new framework,and achieves a factor of10.3 improvement in Input/Output speed compared to BOSS.Further tests show that the improvement is mainly attributed to the new reconstructed event data model and the lazy-loading functionality provided by Smart Ref.展开更多
文摘This paper performs an experimental study for inverse load reconstruction. By measuring and analyzing the load characteristics of different home and office electric devices, the author shows that a reconstruction of the individual power consumption of different loads from the total measurement of a single power meter is possible.
基金the support of National Natural Science Foundation of China(Grant Nos.52031006 and 51879158)Project of Sanya Yazhou Bay Science and Technology City(Grant No.SCKJ-JYRC-2022-82).
文摘In hybrid model testing technique,model tests are primarily used to verify numerical models which is used to predict the responses of full-depth systems.However,hybrid model testing method based on potential flow theory highly rely on the accuracy of mathematical model,facing challenges in accurately predicting full-depth responses with viscous effects,such as flow-induced motion.To solve the problem,a method for predicting motions of full-depth system is proposed based on the inverse reconstruction of the environmental loads from the truncated model test,considering viscous and nonlinear effects on platform.To validate the method,a series of model tests were conducted for a semi-submersible platform in head seas using both truncated and full-depth mooring systems to validate the method.The environmental loads could be extracted accurately via the inverse reconstruction method under different environmental conditions,including 100-year-return-period wave-only,current-only,coupled wave,wind,and current conditions.The results of time history,statistics,and power distribution show that the proposed method has better performance than conventional method of hybrid model test in situations where viscous effects are obvious.
基金the financial support from National Key Research and Development Program of China(Grant No 2022YFB2602800)the National Natural Science Foundation of China(Grant No 52271283)the Science and Technology Commission of Shanghai Municipality(22dz1204401,22dz1204402,22dz1206004,24ZR1491600).
文摘Wave impact under extreme sea conditions poses significant risks to offshore structures,such as the pontoons of floating wind turbines.Monitoring the structures and inverting the impact loads are crucial for structural safety design.In this study,an indirect approach is proposed for the localization and reconstruction of waves impacting flat plates,curved plates and floating wind turbine pontoons.For impact load localization,the correlation dimension method and the long short-term memory(LSTM)neural network method are employed.The correlation dimension method achieves accurate localization results only for flat plates,whereas the LSTM method shows good performance for all structures.For load time history reconstruction,the Tikhonov regularization method is applied.Reconstruction is achieved with very high accuracy.This work can provide guidelines for inverse estimation of environmental loads acting on offshore structures.
基金Supported by Joint Large-Scale Scientific Facility Funds of the NSFC and CAS(U1532258)Program for New Century Excellent Talents in University(NCET-13-0342)+1 种基金Shandong Natural Science Funds for Distinguished Young Scholar(JQ201402)National Key Basic Research Program of China under Contract(2015CB856700)
文摘A fast physics analysis framework has been developed based on SNi PER to process the increasingly large data sample collected by BESⅢ.In this framework,a reconstructed event data model with Smart Ref is designed to improve the speed of Input/Output operations,and necessary physics analysis tools are migrated from BOSS to SNi PER.A real physics analysis e~＋e^-→ π~＋π^-J/ψ is used to test the new framework,and achieves a factor of10.3 improvement in Input/Output speed compared to BOSS.Further tests show that the improvement is mainly attributed to the new reconstructed event data model and the lazy-loading functionality provided by Smart Ref.
