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Schweiger et al (2001) describe this approach for three applications: a sheet-pile wall, tunnel excavations, and comparison of a single and double shell for tunnel support In the case of the sheet-pile wall, the analysis assumed that the angle of friction and the reference modulus of elasticity were described by logNormal distributions de ned by means and standard deviations All the other parameters were deterministic The excavation was simulated in 05 m intervals The nite element program used in the analysis reduces the strength parameters until no equilibrium can be found and uses these values to compute a factor of safety At each level of excavation, this capability combined with the pointestimate method gave estimates of the reliability Figure 191 is a plot of reliability index versus excavation depth reported by Schweiger et al.

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10

5

004010C2 004010C5 004010C7 004010CA 004010CC 004010CE 004010D1 004010D3 004010D6 004010D9 004010DB 004010DF 004010E1 004010E4 004010E6 004010E8 004010EB 004010ED 004010F0 004010F3 004010F5 004010F6 004010F7 004010F8 004010F9 004010FC

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The analysis also yielded the means and standard deviations of the displacements at each depth of excavation The second application, the tunnel excavation, started with twelve random variables de ned by their means and standard deviations The variables were the friction angle , cohesion c, Young s modulus E, and coef cient of earth pressure at rest K0 for the soil (four variables), similar parameters for the rock (four variables), parameters de ning the pre-relaxation for the top heading and bench (two variables), and the shear modulus for young and old concrete (two variables) The K0 s and the shear modulus of the concrete were assumed to be Normally distributed; all the other variables were logNormal They performed a sensitivity study using FOSM, identifying seven variables that had signi cant impact on the results.

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Then the point-estimate method was used with these seven variables to develop statistics of safety with respect to a limit state function and surface settlement The study of the single and double shells used ve stochastic variables: the friction angle , cohesion c, and Young s modulus E of the soft rock, and the normal stiffness EA and uniaxial compressive strength R of the shotcrete lining Parameters and c had a correlation coef cient of 05 The uniaxial compressive strength enters only in the evaluation of the performance function, so four variables were used in the point-estimate method to determine the probability of failure as a function of the thickness of the second shotcrete layer Figure 192 shows the results These results demonstrate that the deterministic nite element method that is, the nite element method formulated with deterministic variables can be used in conjunction.

ebp,3 004010E8 ecx,14h 004010A3 ebx,edi ecx,14h 004010A3 ebp,4 ecx,4 004010A3 esi,dword ptr [esp+44h] dword ptr [edx],esi ecx,10h 004010A3 eax,edi ecx,10h 004010A3 edx,4 ecx,18h 004010A3 edi esi ebp ebx esp,28h

The function s jump table: 0x00401100 004010c2 004010bb 004010db 004010b4 0x00401110 004010cc 004010e6 004010ed 004010d3 0x00401120 004010f5

12.8 12

Listing 10.4 (continued)

Time, Distance and Acceleration Considering Wind and Tide Remember the Rest of the Race Advice from Paul Goodison

The function in Listing 10.4 is an enhanced version of the function from Listing 10.3. Instead of using direct indexes into the jump table, this implementation uses an additional table that is filled in runtime. This table contains the actual jump table indexes, and the index into that table is handled by the program in order to obtain the correct flow of the code. This enhancement makes this function significantly more unreadable to human reversers, and would also seriously complicate matters for a deobfuscator because it would require some serious data-flow analysis to determine the current value of the index to the array. The original implementation in [Wang] is more focused on preventing static analysis of the code by deobfuscators. The approach chosen in that study is to use pointer aliases as a means of confusing automated deobfuscators. Pointer aliases are simply multiple pointers that point to the same memory location. Aliases significantly complicate any kind of data-flow analysis process

10 Reliability Index b [ ]

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