Soft computing methodologies for estimation of bridge girder forces with perforations under tsunami wave loading

摘要: Tsunamis pose a great threat to coastal infrastructures. Bridges without adequate provisions for earthquake and tsunami loading generally are vulnerable when occurs. During the last two disastrous events (i.e., in Indian Ocean that struck Japan), many bridges were damaged by waves created tsunamis. In this paper, order address crucial problem, we used soft computing techniques design develop process simulates effects of perforations girders on reducing forces applied bridge Soft methods have very good learning prediction capabilities, which make it an effective tool dealing with uncertainties encountered generated tsunami. Laboratory experiments conducted acquire better understanding factors involved check data required methods. predict girder force reduction, novel intelligent schemes, support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS) investigated. study, polynomial, linear, radial basis function as kernel SVR estimate bridge. The performances proposed estimators confirmed simulation results. results compared ANFIS results, observed improvement predictive accuracy ability generalize achieved approach.