A Method of Data-driven modeling for predicting uplifting forces of suction caisson anchors

摘要

The present invention relates to a data-oriented modeling method for predicting a pulling force of a suction caisson anchor, the method comprising a first step of collecting load capacity data of a suction caisson system, a second step of calculating a correlation coefficient of input / A third step of applying a data preprocessing technique for the load capacity data compression and noise removal, a fourth step of determining a cluster center based on the density of the data to which the third step is applied, A fifth step of optimizing the key part parameter, a sixth step of returning to the fourth step when the error value is larger than the allowable error value, and a sixth step of proceeding to the next step if the error value is smaller than the allowable error value, Oriented modeling method.