The invention provides a dynamics forecasting method of a random
branch structure. The dynamics forecasting method comprises the following steps of: (1) selecting a main transmission path, i.e. for a
system which comprises the random
branch structure, firstly, selecting one chain-type main transmission path from one boundary end to the other boundary end; (2) establishing each
branch point model, i.e. by the influence of adsorbing each sub branch, establishing the model between state vectors of both front and rear ends of each branch point on the main transmission path; (3) establishing an
integral model, i.e. establishing the
integral model between state vectors of both initial and
tail ends by an arrangement sequence of transfer elements and point elements of each field on the main transmission path; and (4) forecasting a
structural dynamics problem, i.e. introducing a boundary condition and an external acting force which serve as definite conditions and applying a
transfer matrix method to forecast the dynamics problem of a
chain system. The dynamics forecasting method has wide application range, has simple and convenient implementing process, is very beneficial to
programming calculating and has high forecasting accuracy; the integral solving process cannot cause the increase of a variable freedom degree value; and the forecasting efficiency is ensured high.