Improved response surface method and its application in stability reliability degree analysis of tunnel surrounding rock

Yong-hua Su , Peng Zhang , Ming-hua Zhao

Journal of Central South University ›› 2007, Vol. 14 ›› Issue (6) : 870 -876.

PDF
Journal of Central South University ›› 2007, Vol. 14 ›› Issue (6) : 870 -876. DOI: 10.1007/s11771-007-0165-2
Article

Improved response surface method and its application in stability reliability degree analysis of tunnel surrounding rock

Author information +
History +
PDF

Abstract

An approach of limit state equation for surrounding rock was put forward based on deformation criterion. A method of symmetrical sampling of basic random variables adopted by classical response surface method was mended, and peak value and deflection degree of basic random variables distribution curve were took into account in the mended sampling method. A calculation way of probability moment, based on mended Rosenbluth method, suitable for non-explicit performance function was put forward. The first, second, third and fourth order moments of functional function value were calculated by mended Rosenbluth method through the first, second, third and fourth order moments of basic random variable. A probability density the function(PDF) of functional function was deduced through its first, second, third and fourth moments, the PDF in the new method took the place of the method of quadratic polynomial to approximate real functional function and reliability probability was calculated through integral by the PDF for random variable of functional function value in the new method. The result shows that the improved response surface method can adapt to various statistic distribution types of basic random variables, its calculation process is legible and need not iterative circulation. In addition, a stability probability of surrounding rock for a tunnel was calculated by the improved method, whose workload is only 30% of classical method and its accuracy is comparative.

Keywords

response surface method / Rosenbluth method / statistic moment / entropy density function / quadratic polynomial

Cite this article

Download citation ▾
Yong-hua Su, Peng Zhang, Ming-hua Zhao. Improved response surface method and its application in stability reliability degree analysis of tunnel surrounding rock. Journal of Central South University, 2007, 14(6): 870-876 DOI:10.1007/s11771-007-0165-2

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

SuY.-h., JiangD.-s., ZhaoM.-hua.. Estimation of stability reliability degree of tunnel structure in soft and loose rock mass[J]. Journal of Hunan University, 2006, 33(2): 10-14

[2]

LiZ.-y., ZengY.-hua.Design Principle and Ways for Underground Structure[M], 2005, Chengdu, South-West Traffic University Press: 304-310

[3]

BucherC. G., BougundU.. A fast and efficient response surface approach for structural reliability problem[J]. Structural Safety, 1990, 34(1): 57-66

[4]

SchüellerG. I.. On efficient computational scheme to calculate structural failure probability[J]. Probability Engineering Mechanics, 1989, 4(1): 10-18

[5]

LiuY. W., MosesF.. A sequential response surface methods and its application in the reliability analysis of aircraft structural system[J]. Structural Safety, 1994, 16(1/2): 39-46

[6]

FaravelliL. A.. Response surface approach for reliability analysis[J]. Journal of Engineering Mechanics, 1989, 115(12): 2763-2781

[7]

RosenbluethE.. Point estimate for probability moment[C]. Proc Nat Acad Sci, USA, 1975, 72: 3812-3814

[8]

TongX.-li.. Improved Rosenbluth method and its application in structure stability reliability degree analysis[J]. Journal of Dalian Science and Technology of University, 1997, 37(3): 316-321

[9]

ZhaoG.-fan.Engineering Structural Reliability Theory and Its Application[M], 1996, Dalian, Dalian Technology University Press: 145-148

[10]

ZhaoW.-gui.. Fourth order moment analysis method for structure stability reliability degree[J]. Journal of Dalian Science and Technology of University, 1992, 32(4): 455-459

[11]

SuY.-h., HeM.-c., GaoQ.. Applying of Rosenblueth method in evaluating stability reliability of anchor-shotcrete net support system for soft-fracture surrounding rock[J]. Chinese Journal of Geotechnical Engineering, 2004, 26(3): 373-379

[12]

SuY.-h., HeM.-chao.. Simplified calculation approach of response surface method reliability index by point estimation of probability moment[J]. Engineering Mechanics, 2007, 24(7): 11-15

[13]

ZhangX.-q., KangH.-g., WangF.-ming.. A new method for reliability problem without explicit performance function[J]. Journal of Dalian University of Technology, 2003, 43(5): 650-654

[14]

SuY.-h., ZhaoM.-h., ZhangY.-y., et al.. On analysis of reliability of slope stability based on Spencer model by the method of difference[J]. Journal of Rock Mechanics and Engineering, 2006, 25(S1): 2750-2756

[15]

SuY.-h., ZhaoM.-hua.. Application of response surface method in stability reliability degree analysis for slope[J]. Chinese Journal of Rock Mechancis and Engineering, 2006, 25(7): 1417-1425

[16]

HanB., WuA.-x., DengJ., et al.. Backfill technical analysis based on reliability theory in the underhand drift cut and filling stoping[J]. Journal of Central South University: Science and Technology, 2006, 37(3): 583-587

[17]

HeY.-g., LiZ.-w., YangX.-li.. Hazard development mechanism and deformation estimation of water solution mining area[J]. Journal of Central South University of Technology, 2006, 13(6): 738-742

[18]

XieX.-b., PanC.-l., CaoP., et al.. An optimization method of stope structure parameter for rock burst tendency mine[J]. Journal of Central South University: Natural Science, 1999, 30(2): 121-125

[19]

DengJ., BianL., LiX.-b., et al.. Analysis of factors and countermeasures of mining subsidence in Kaiyang phosphorus mine[J]. Journal of Central South University of Technology, 2006, 13(6): 733-737

[20]

TuW.-g., LinL.-chuan.. Analysis on fuzzy reliability of structure[J]. Journal of Central South University of Technology: Natural Science, 2000, 31(4): 371-375

AI Summary AI Mindmap
PDF

132

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/