supported by the National Natural Science Foundation of China (Grant Nos.50725828,50808041);Scientific Research Foundation of Graduate School of Southeast University (Grant No. YBJJ0923);Teaching and Research Foundation for Excellent Young Teacher of Southeast University
A reliability assessment method of fatigue life based on the long-term monitoring data is developed for welded details in steel box girder,and the application research is presented with examples of welded rib-to-deck ...
Project supported by the National Natural Science Foundation of China (Nos. 50725828 and 50808041);Scientific Research Foundation of Graduate School of Southeast University (No. YBJJ0923);the Teaching and Research Foundation for Excellent Young Teacher of Southeast University,China
This paper presents a distribution free method for predicting the extreme wind velocity from wind monitoring data at the site of the Runyang Suspension Bridge (RSB), China using the maximum entropy theory. The maximum...
the support of the National Natural Science Foundation of China(Grant Nos.50725828,50808041 and 50978056);the Ph.D.Program Foundation of the Ministry of Education of China(Grant No.200802861011);the Teaching and Research Foundation for Excellent Young Teachers of Southeast University.
This paper addresses the problem of condition assessment of bridge expansion joints using long-term measurement data under changing environmental conditions.The effects of temperature,traffic loading and wind on the e...
The National Natural Science Foundation of China(No.50725828,50808041);the Natural Science Foundation of Jiangsu Province(No.BK2008312);the Ph.D.Programs Foundation of Ministry of Education of China(No.200802861011)
This paper aims at successive structural damage detection of long-span bridges under changing temperature conditions.First,the frequency-temperature correlation models of bridges are formulated by means of artificial ...
supported by the National Natural Science Foundation of China (Grant Nos. 50725828, 50808041);Ph.D. Programs Foundation of Ministry of Education of China (Grant No. 200802861011);Scientific Research Foundation of Graduate School of Southeast University (Grant No. YBJJ0923)
By using of long-term monitoring data of Runyang Suspension Bridge,the improved back-propagation neural networks (BPNNs) are formulated for modeling the correlations between modal frequencies and environmental conditi...