24.12.2014 Views

Earthquake Engineering Research - HKU Libraries - The University ...

Earthquake Engineering Research - HKU Libraries - The University ...

Earthquake Engineering Research - HKU Libraries - The University ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

455<br />

ratio of the zth mode; /, -{ T cME} t is the participation factor of the z'th mode; v, = {<br />

denotes the control force corresponding to the ith mode.<br />

<strong>The</strong> seismic response control of the structure can be achieved through the corresponding energy<br />

control of structural modal vibration. By applying the stochastic averaging technique for quasiintegrable-Hamiltonian<br />

system (Zhu & Lin 1991; Zhu et al 1997), the averaged Ito stochastic<br />

differential equations with respect to modal energies can be obtained in the form of<br />

_<br />

dH t ^[m l (H)--^v ] }dt + a i (E}dW l (t) (f,;=l,2,...,/) (5)<br />

dQj<br />

in which the model energy vector H , the reduced drift vector m(H) and the diffusion matrix a(H)<br />

are represented as<br />

H,=U2+a>Q)l2<br />

m,(H) = -2^ca,H, +Lfis t «o t )<br />

(6a)<br />

(6b)<br />

and W, (r) is unit Wienner process.<br />

a;(H) = ft-S l (a),)H, (6c)<br />

<strong>The</strong> objective of the study is to find out an optimal feedback control law to minimize a finite horizon<br />

performance index. Assuming the ground excitation be stationary and ergodic, the performance index<br />

of the stochastic optimal control in the finite time horizon ( r 0 , T ) is expressed in the form of<br />

J = \imlL(Q c (T\Q c (r),U(r))dr (7)<br />

7"_»oo J<br />

0<br />

where L denotes a continuous differentiable convex function.<br />

In order to minimize the average energy diffusion of the structure, the following stochastic Hamilton-<br />

Jacobi-Bellman (HJB) equation for optimal ergodic control is established according to the stochastic<br />

optimal dynamical programming principle (Stengel 1986)<br />

_i t 2 o H t<br />

(8)<br />

where V represents a value function with respect to H corresponding to optimal control force.<br />

<strong>The</strong> optimal control force U* is then obtained by minimizing the right hand side of Equation (8).<br />

When the convex function has the form<br />

the expression of U* can be obtained as<br />

U (9)

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!