In the recent era,piled raft foundation(PRF)has been considered an emergent technology for offshore and onshore structures.In previous studies,there is a lack of illustration regarding the load sharing and interaction...In the recent era,piled raft foundation(PRF)has been considered an emergent technology for offshore and onshore structures.In previous studies,there is a lack of illustration regarding the load sharing and interaction behavior which are considered the main intents in the present study.Finite element(FE)models are prepared with various design variables in a double-layer soil system,and the load sharing and interaction factors of piled rafts are estimated.The obtained results are then checked statistically with nonlinear multiple regression(NMR)and artificial neural network(ANN)modeling,and some prediction models are proposed.ANN models are prepared with Levenberg-Marquardt(LM)algorithm for load sharing and interaction factors through backpropagation technique.The factor of safety(FS)of PRF is also estimated using the proposed NMR and ANN models,which can be used for developing the design strategy of PRF.展开更多
In this paper,we consider a floating raft isolation system with elastic limiters.The limiters might be "contact" or "no contact",thus forming a unilateral system generating possible contacts.In ord...In this paper,we consider a floating raft isolation system with elastic limiters.The limiters might be "contact" or "no contact",thus forming a unilateral system generating possible contacts.In order to avoid the large displacement of the floating raft under shock,limiters might be adopted but good limiters design requires the values of the gaps.Based on the contact dynamics,the multi-degree-freedom dynamic model of floating raft isolation system with elastic limiters is established.The artificial neural network has been developed to dingtinguish the contact state of elastic limiters at each step.The example analysis shows that the algorithm of neural network for contact can shorten the time of caclaution.From the example analysis,we get some interesting results that may be useful to the ship engineering.展开更多
文摘In the recent era,piled raft foundation(PRF)has been considered an emergent technology for offshore and onshore structures.In previous studies,there is a lack of illustration regarding the load sharing and interaction behavior which are considered the main intents in the present study.Finite element(FE)models are prepared with various design variables in a double-layer soil system,and the load sharing and interaction factors of piled rafts are estimated.The obtained results are then checked statistically with nonlinear multiple regression(NMR)and artificial neural network(ANN)modeling,and some prediction models are proposed.ANN models are prepared with Levenberg-Marquardt(LM)algorithm for load sharing and interaction factors through backpropagation technique.The factor of safety(FS)of PRF is also estimated using the proposed NMR and ANN models,which can be used for developing the design strategy of PRF.
基金the National Natural Science Foundation of China(No. 10702051)
文摘In this paper,we consider a floating raft isolation system with elastic limiters.The limiters might be "contact" or "no contact",thus forming a unilateral system generating possible contacts.In order to avoid the large displacement of the floating raft under shock,limiters might be adopted but good limiters design requires the values of the gaps.Based on the contact dynamics,the multi-degree-freedom dynamic model of floating raft isolation system with elastic limiters is established.The artificial neural network has been developed to dingtinguish the contact state of elastic limiters at each step.The example analysis shows that the algorithm of neural network for contact can shorten the time of caclaution.From the example analysis,we get some interesting results that may be useful to the ship engineering.
