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... 1 Reliability of Technical Systems Tutorial # 3 Due : October 12, 2010 1. Consider the probability ... density function.    ≥ = − otherwise te tf t 0 0 002.0 )( 002.0 for t is in hours Calculate reliability ... 1 Reliability of Technical Systems Tutorial # 3 Due : October 12, 2010 1. Consider the probability ... 1 ... 1 ...

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... 1 Reliability of Technical Systems Tutorial # 3 Solution 1. Consider the probability density ... = 1/1.28×10−4= 7812.5 hours MTTFs= MTTFc/4=1953.125 hours 3. A space vehicle requires three out four ... 1 Reliability of Technical Systems Tutorial # 3 Solution 1. Consider the probability density ... = 1/1.28×10−4= 7812.5 hours MTTFs= MTTFc/4=1953.125 hours 3. A space vehicle requires three out four ... 1 ...

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... T T P( 0, 1): If (A[ 0] > A[ 1]) tmp[ 0] = F; P( 0, 2): If (A[ 0] > A[2]) tmp[ 0] = F; P( 0, 3): If (A[ 0 ... ] > A[ 3]) tmp[ 0] = F; P( 1, 0): If (A[ 1] > A[ 0]) tmp[ 1] = F; P( 1, 2): If (A[ 1] > A[2]) tmp[ 1] = F; P( 1, 3 ... T T P( 0, 1): If (A[ 0] > A[ 1]) tmp[ 0] = F; P( 0, 2): If (A[ 0] > A[2]) tmp[ 0] = F; P( 0, 3): If (A[ 0 ... ] > A[ 3]) tmp[ 0] = F; P( 1, 0): If (A[ 1] > A[ 0]) tmp[ 1] = F; P( 1, 2): If (A[ 1] > A[2]) tmp[ 1] = F; P( 1, 3 ... Slide 1 ...

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... details pLxx )( 0 xn )( ; 0 gxcwhile xx T ;bAxx 1 0 00 ),( i j ji bAxAxix )),((minarg),,( )()(),( 00 00 ... gxixcgcxn ipxiLxix T i ; 0 0 11 01 xx 0 0 1 01 0 0 11 01 11 01 ),( 0 1 0 00 x i xxix i j ji } ){10( ; 0 0 01 ... details pLxx )( 0 xn )( ; 0 gxcwhile xx T ;bAxx 1 0 00 ),( i j ji bAxAxix )),((minarg),,( )()(),( 00 00 ... gxixcgcxn ipxiLxix T i ; 0 0 11 01 xx 0 0 1 01 0 0 11 01 11 01 ),( 0 1 0 00 x i xxix i j ji } ){10( ; 0 0 01 ... Slide 1 ...

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... spcl.inf.ethz.ch @spcl_eth 16 I = { 0 2 , 1 2 , 2 2 , 3 2 , 4 2 , 5 2 , 6 2 } J = {0,1,2} n = 5 ✔ ✔ Sweep3D ✖ MILC ... details pLxx )( 0 xn )( ; 0 gxcwhile xx T ;bAxx 1 0 00 ),( i j ji bAxAxix )),((minarg),,( )()(),( 00 00 ... spcl.inf.ethz.ch @spcl_eth 16 I = { 0 2 , 1 2 , 2 2 , 3 2 , 4 2 , 5 2 , 6 2 } J = {0,1,2} n = 5 ✔ ✔ Sweep3D ✖ MILC ... details pLxx )( 0 xn )( ; 0 gxcwhile xx T ;bAxx 1 0 00 ),( i j ji bAxAxix )),((minarg),,( )()(),( 00 00 ... Slide 1 ...

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... details pLxx )( 0 xn )( ; 0 gxcwhile xx T ;bAxx 1 0 00 ),( i j ji bAxAxix )),((minarg),,( )()(),( 00 00 ... gxixcgcxn ipxiLxix T i ; 0 0 11 01 xx 0 0 1 01 0 0 11 01 11 01 ),( 0 1 0 00 x i xxix i j ji } ){10( ; 0 0 01 ... details pLxx )( 0 xn )( ; 0 gxcwhile xx T ;bAxx 1 0 00 ),( i j ji bAxAxix )),((minarg),,( )()(),( 00 00 ... gxixcgcxn ipxiLxix T i ; 0 0 11 01 xx 0 0 1 01 0 0 11 01 11 01 ),( 0 1 0 00 x i xxix i j ji } ){10( ; 0 0 01 ... Slide 1 ...

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... = { 0 2 , 1 2 , 2 2 , 3 2 , 4 2 , 5 2 , 6 2 } J = {0,1,2} n = 5 ✔✔ Sweep3D ✖ MILC ✔ HOMME ✔ XNS ... gxcwhile xx T   ;bAxx      1 0 00 ),( i j ji bAxAxix )),((minarg),,( )()(),( 00 00 gxixcgcxn ... = { 0 2 , 1 2 , 2 2 , 3 2 , 4 2 , 5 2 , 6 2 } J = {0,1,2} n = 5 ✔✔ Sweep3D ✖ MILC ✔ HOMME ✔ XNS ... gxcwhile xx T   ;bAxx      1 0 00 ),( i j ji bAxAxix )),((minarg),,( )()(),( 00 00 gxixcgcxn ... Slide 1 ...

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... . Compilation for (int i= 0; i0 outbuf[j] = inbuf[j*2] outbuf[j+ 1] = inbuf[(j+ 1)*2] inbuf += 3 ... ) { outbuf[ 0] = inbuf[ 0] outbuf[ 1] = inbuf[2] outbuf[2] = inbuf[4] outbuf[ 3] = inbuf[6] inbuf += 24 outbuf ... . Compilation for (int i= 0; i0 outbuf[j] = inbuf[j*2] outbuf[j+ 1] = inbuf[(j+ 1)*2] inbuf += 3 ... ) { outbuf[ 0] = inbuf[ 0] outbuf[ 1] = inbuf[2] outbuf[2] = inbuf[4] outbuf[ 3] = inbuf[6] inbuf += 24 outbuf ... Slide 1 ...

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... Lecture # 3 – Fall 2015 7 D. Mohr 151-0735: Dynamic behavior of materials and structures -2 - 1 0 1 2 -2 - 1 ... function of frequency n 3. Compute strain history at location B     N n nnnnB ttnbttna a t 1 0 ... Lecture # 3 – Fall 2015 7 D. Mohr 151-0735: Dynamic behavior of materials and structures -2 - 1 0 1 2 -2 - 1 ... function of frequency n 3. Compute strain history at location B     N n nnnnB ttnbttna a t 1 0 ... Slide 1 ...

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... –O3 spcl.inf.ethz.ch @spcl_eth 0: 00 1:12 2:24 3:36 4:48 6: 00 7:12 8:24 Mobile Workstation icc icc ... ? spcl.inf.ethz.ch @spcl_eth Tool: Polyhedral Modeling Iteration Space 0 1 2 3 4 5 j i 5 4 3 2 1 0 N = 4 j ≤ i i ≤ N ... –O3 spcl.inf.ethz.ch @spcl_eth 0: 00 1:12 2:24 3:36 4:48 6: 00 7:12 8:24 Mobile Workstation icc icc ... ? spcl.inf.ethz.ch @spcl_eth Tool: Polyhedral Modeling Iteration Space 0 1 2 3 4 5 j i 5 4 3 2 1 0 N = 4 j ≤ i i ≤ N ... Slide 1 ...

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