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Masaru Hoshiya Musashi Institute of Technology. Probability Study for a High-Capacity Micropile Bearing Mechanism. Yoshinori Otani Hirose & Co., Ltd. The purpose of research. Design optimization for the HMP
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IWM2002 Masaru HoshiyaMusashi Institute of Technology Probability Study for a High-Capacity Micropile Bearing Mechanism Yoshinori Otani Hirose & Co., Ltd.
IWM2002 The purpose of research • Design optimizationfor the HMP The uncertainty of each composition parameter (characteristic of ground condition , material , load) Current design Code (draft) (Allowable Stress Method) Partial Factor Design Method
IWM2002 Today’sTopics • Probabilistic analysis of bearing mechanism for HMP • Effectiveness of Partial Factor Design Method
Structure , failure modes of HMP IWM2002 Steel Pipe Bearing Stratum Core (deformed re-bar) Grout Fig.1 Structure of HMP Fig.2 Failure modeⅠ Fig.3 Failure mode Ⅱ Fig.4 Failure mode Ⅲ
Current design(1) IWM2002 (1) r: revision coefficient for the safety factor by the difference in how to estimate ultimate bearing capacity n: safety factor (2) RC1: ultimate friction bearing capacity RC2: steel pipe compressive strength RC3: sum of non-steel pipe anchorage ultimate compressive strength and steel pipe bond ultimate friction resistance IWM2002
Current design (failure mode Ⅰ~Ⅲ) IWM2002 (3) R1: bond perimeter friction R2: end bearing capacity (4) R3: ultimate compressive strength of steel pipe grout R4: ultimate compressive strength of re-bar and steel pipe (5) R5: ultimate compressive strength of non-steel pipe grout R6: ultimate compressive strength of re-bar R7: bond perimeter friction of steel pipe Casing Plunge Length LC Bond Length L Bearing Stratum IWM2002
IWM2002 Partial factor design method(1) (6) (7) (8) (9) Z,Zi≧0, safe Z,Zi≦0, failure SD: dead load SE: earthquake load
IWM2002 Partial factor design method(2) (10) (11) (12) Rj*: characteristic value of resistances (j=1~7) SD*: characteristic value of dead load SE*: characteristic value of seismic load φRj,γSDi, γSEi:partial factor
IWM2002 Partial factor design method(3) (13) (14) (15) αRjT,αSDiT,αSEiT: standard sensitivity coefficient for each resistance,dead load, seismic load βiT: target safety index for Zi kRj , kSDi , kSEi: coefficient which connect mean and standard sensitivity factor of the resistances , dead load ,seismic load VRj ,VSD ,VSE: coefficient of variation for the resistances ,dead load ,seismic load (16)
IWM2002 : αR1 bond perimeter friction : αR2 end bearing capacity Mechanical Characteristicsof failure mode Ⅰ Bond length of the pile L(m) Sensitivity Coefficients Vs. Bond Length
IWM2002 Mechanical Characteristicsof failure mode Ⅱ αR3:ultimate compressive strength of steel pipe grout αR4:ultimate compressive strength of re-bar and steel pipe compression strength of the grout fG (N/mm2) Sensitivity Coefficients Vs. Compression Strength of Grout
IWM2002 Mechanical Characteristicsof failure mode Ⅲ :αR5 ultimate compressive strength of non-steel pipe grout :αR6 ultimate compressive strength of re-bar :αR7 bond perimeter friction of steel pipe Casing plunge length of the steel pipe Lc(m) Sensitivity Coefficients Vs. Casing Plunge Length of Steel Pile
IWM2002 Comparison of safety index β Histogram of Safety Index β1 Histogram of Safety Index β2 Histogram of Safety Index β3
IWM2002 Dependability of resistances (sensitivity coefficient α) Characteristic valueRc1* Characteristic valueRc3* Sensitivity Coefficients Vs. Sensitivity Coefficients Vs.
IWM2002 Comparison of Current design code and PFD Method Comparison of βa andβa’
IWM2002 Conclusion Partial Factor Design method can achieve optimization of HMP designs by taking into consideration the probability and dependability of the parameter which constitutes each limit state.