J u n e 0 6 - 0 7 , 2 0 1 9
P a r i s , F r a n c e
Page 29
Research & Reviews: Journal of Engineering and Technology
ISSN: 2319-9873
Civil engineering 2019
International Conference on
Structural and
Civil Engineering Research
T
he displacement prediction of retaining structure is a key problem in
foundation pit engineering which has many influencing factors and the
function is highly non-linear, so there are some shortcomings such as low
accuracy, slow convergence and heavy calculation when using traditional
response surface prediction. The displacement prediction model using
improved multiple response surfaces (MRS) is proposed to solve such
problems. Taking the shear strength parameters of soil as the key design
variables, taking the displacement of diaphragmwall retaining structure (DWRS)
at different working conditions and different depths as the target parameters,
the response surfaces between design variables and target parameters are
established combining uniform test design method and ACE non-parametric
regression technology. Based on Monte Carlo simulation technology and least
square approximation principle, the original design parameters are inverted by
using the monitoring data of existing working conditions and the established
MRS. Finally, the displacement prediction of DWRS for following working
conditions are obtained based on the modified design parameters. The case
study shows that the values of displacement prediction are consistent with
measured data based on MRS and the calculation convergence speed is
fast, which can be used to guide the design and subsequent construction of
foundation pit.
Biography
Jiang kaiyu is pursuing PhD degree in Southeast University
and also a Teacher in Chongqing three Gorges University from
China. His major research area is composite foundation and
foundation pit engineering. He has published more than eight
papers in reputed journals.
jiang_k_y@seu.edu.cnDisplacement prediction of foundation pit retaining structure
based on multiple response surfaces
Jiang Kaiyu, Gong Weiming and Dai Guoliang
Southeast University, China
Jiang Kaiyu et al., JET 2019, Volume:8