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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix K - XRF Data." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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144 A p p e n d i x K XRF Data

Table K.1. X-Ray Fluorescence (XRF) Data for Carbozinc 859 Reading P S Cl K Ca Ti Cr Mn Zn Sr Mo I Ba Fe Co Carbozinc 1-1# 166,059 ± 23,928 54,732 ± 6,849 9,587 ± 1,726 14,940 ± 1,043 13,284 ± 736 1,673 ± 355 499 ± 45 1,009 ± 62 2,885,995 ± 108,934 82 ± 12 939 ± 42 1,253 ± 343 1,359 ± 118 45,224 ± 1,636 2,128 ± 626 Carbozinc 2-1# 146,466 ± 22,857 56,682 ± 6,843 9,895 ± 1,692 15,814 ± 1,050 12,979 ± 715 2,202 ± 365 556 ± 46 1,047 ± 63 2,628,019 ± 91,690 62 ± 11 926 ± 39 1,556 ± 350 1,314 ± 117 51,174 ± 1,810 2,383 ± 589 Carbozinc 2-2# 140,070 ± 22,680 60,740 ± 7,022 9,799 ± 1,690 16,722 ± 1,080 12,203 ± 690 1,800 ± 368 477 ± 44 1,043 ± 63 2,696,883 ± 97,454 76 ± 12 912 ± 40 1,944 ± 361 1,517 ± 123 50,483 ± 1,784 3,255 ± 620 Carbozinc 3-1# 197,098 ± 25,351 55,998 ± 6,930 9,434 ± 1,717 15,835 ± 1,071 12,281 ± 703 2,125 ± 373 529 ± 46 1,007 ± 63 2,808,377 ± 103,796 83 ± 13 988 ± 43 1,609 ± 356 1,373 ± 121 52,200 ± 1,879 2,785 ± 638 Carbozinc 3-2# 140,611 ± 22,934 64,049 ± 7,226 12,074 ± 1,769 16,370 ± 1,071 13,163 ± 722 2,039 ± 361 568 ± 47 1,061 ± 64 2,816,805 ± 104,304 48 ± 12 984 ± 43 1,266 ± 343 1,318 ± 117 51,825 ± 1,835 2,592 ± 637 Carbozinc 3-3# 176,390 ± 24,204 57,293 ± 6,871 7,272 ± 1,624 18,285 ± 1,141 12,510 ± 705 2,031 ± 361 533 ± 45 1064 ± 64 2,720,854 ± 96,669 53 ± 12 999 ± 42 1,953 ± 358 1,291 ± 116 49,941 ± 1,776 2,722 ± 607 Carbozinc 3-4# 142,800 ± 22,558 56,546 ± 6,784 9,539 ± 1,666 16,429 ± 1,063 13,354 ± 723 2,397 ± 370 578 ± 47 1,022 ± 62 2,685,529 ± 95,080 59 ± 12 982 ± 41 1,517 ± 351 1,346 ± 118 52,192 ± 1,830 2,611 ± 611 Carbozinc 3-5# 169,759 ± 23,535 49,537 ± 6,506 10,816 ± 1,713 15,828 ± 1,048 12,139 ± 685 1,910 ± 358 554 ± 46 1,000 ± 61 2,757,497 ± 100,693 63 ± 12 936 ± 41 1,674 ± 347 1,311 ± 116 51,542 ± 1,818 <LOD ± 1,839 Mean 159,907 ± 23,506 56,947 ± 6,879 9,802 ± 1,670 16,278 ± 1,071 12,739 ± 710 2,022 ± 364 537 ± 46 10,325 ± 63 2,749,995 ± 99,828 66 ± 12 958 ± 41 1,597 ± 351 1,354 ± 118 50,573 ± 1,796 2,639 ± 7,715 SD 20,802 ± 956 4,241 ± 205 1,355 ± 43 975 ± 31 510 ± 17 229 ± 6 35 ± 1 25 ± 1 83,776 ± 5,655 13 ± 0.5 33 ± 1 264 ± 7 71 ± 2 2,304 ± 72 351 ± 432 Note: LOD = limit of detection. 145

146 Figure K.1. XRF spectrum for Carbozinc 859. Table K.2. XRF Data for Epoplex White Reading Ca Ti Zr Ba Epoplex White 1# 2,091 ± 126 322,067 ± 2,747 622 ± 4 3,776 ± 115 Epoplex White 2# 1,730 ± 124 314,771 ± 2,709 606 ± 4 3,757 ± 115 Epoplex White 3# 1,739 ± 126 317,454 ± 2,736 626 ± 4 3,745 ± 116 Epoplex White 4# 1,751 ± 126 322,173 ± 2,765 631 ± 4 3,772 ± 116 Epoplex White 5# 1,488 ± 126 318,065 ± 2,743 626 ± 4 3,602 ± 115 Epoplex White 6# 1,468 ± 124 314,469 ± 2,696 609 ± 4 3,585 ± 114 Epoplex White 7# 1,392 ± 125 319,508 ± 2,748 633 ± 4 3,541 ± 115 Epoplex White 8# 1,555 ± 125 321,046 ± 2,737 619 ± 4 3,696 ± 115 Epoplex White 9# 1,488 ± 126 321,437 ± 2,753 630 ± 4 3,755 ± 116 Epoplex White 10# 1,527 ± 124 319,176 ± 2,716 616 ± 4 3,709 ± 115 Mean 1,623 ± 125 319,017 ± 2,735 622 ± 4 3,694 ± 115 SD 2,082 ± 1 2,820 ± 22 9 ± 0 86 ± 0.6

147 Figure K.2. XRF spectrum for Epoplex White. Table K.3. XRF Data for Epoplex Yellow Reading Cl K Ca Ti Fe Sr Zr Mo Ba Epoplex Yellow 1# 1,193 ± 203 352 ± 77 98,004 ± 691 38,973 ± 296 35 ± 3 36 ± 1 10 ± 1 12 ± 1 574 ± 31 Epoplex Yellow 2# 1,399 ± 205 284 ± 77 99,329 ± 700 39,103 ± 297 30 ± 3 35 ± 1 10 ± 1 13 ± 1 560 ± 31 Epoplex Yellow 3# 1,209 ± 207 246 ± 78 99,033 ± 709 38,788 ± 300 36 ± 3 35 ± 1 9 ± 1 12 ± 1 574 ± 31 Epoplex Yellow 4# 1,023 ± 204 606 ± 81 97,799 ± 698 38,770 ± 298 35 ± 3 36 ± 1 10 ± 1 13 ± 1 567 ± 31 Epoplex Yellow 5# 1,230 ± 202 357 ± 77 97,667 ± 689 38,462 ± 293 33 ± 3 34 ± 1 10 ± 1 13 ± 1 557 ± 31 Epoplex Yellow 6# 713 ± 200 254 ± 77 104,364 ± 729 39,849 ± 300 27 ± 3 34 ± 1 9 ± 1 11 ± 1 534 ± 31 Epoplex Yellow 7# 1,059 ± 203 358 ± 78 102,522 ± 718 39,504 ± 298 29 ± 3 35 ± 1 10 ± 1 12 ± 1 513 ± 31 Epoplex Yellow 8# 1,033 ± 203 344 ± 78 102,670 ± 718 39,618 ± 299 29 ± 3 34 ± 1 11 ± 1 12 ± 1 511 ± 31 Epoplex Yellow 9# 1,214 ± 209 266 ± 79 106,533 ± 753 40,082 ± 306 28 ± 3 34 ± 1 9 ± 1 8 ± 1 538 ± 31 Epoplex Yellow 10# 806 ± 200 244 ± 77 102,958 ± 719 39,095 ± 295 32 ± 3 34 ± 1 11 ± 1 11 ± 1 566 ± 31 Mean 1,088 ± 204 331 ± 78 101,088 ± 712 39,224 ± 298 31 ± 3 35 ± 1 10 ± 1 12 ± 1 549 ± 31 SD 207 ± 3 108 ± 1 3,123 ± 19 520 ± 4 3 ± 0 0.8 ± 0 0.7 ± 0 1.5 ± 0 24 ± 0.3

148 Figure K.3. XRF spectrum for Epoplex Yellow.

Table K.4. XRF Data for Lafarge Cement Reading S K Ca Ti Cr Mn Fe Co Ni Cu Zn As Se Rb Sr Zr Mo I Hg Lafarge 1 41,985 ± 3,318 12,148 ± 420 781,235 ± 9,667 620 ± 105 57 ± 7 327 ± 12 15,700 ± 199 115 ± 38 68 ± 13 39 ± 7 98 ± 5 10 ± 2 4 ± 1 16 ± 1 645 ± 7 79 ± 3 7 ± 2 2,275 ± 493 <LOD Lafarge 2 41,902 ± 3,355 12,798 ± 429 788,725 ± 9,807 640 ± 106 48 ± 7 308 ± 12 16,022 ± 204 155 ± 37 45 ± 12 27 ± 6 113 ± 5 8 ± 2 5 ± 1 16 ± 1 639 ± 7 73 ± 3 11 ± 2 2,772 ± 499 18 ± 4 Lafarge 3 44,072 ± 3,349 12,658 ± 425 784,434 ± 9,695 740 ± 107 57 ± 7 293 ± 11 15,810 ± 200 152 ± 38 54 ± 12 47 ± 7 125 ± 6 7 ± 2 6 ± 1 18 ± 1 640 ± 7 76 ± 3 9 ± 2 2,336 ± 494 18 ± 4 Lafarge 4 38,552 ± 3,237 12,684 ± 419 764,639 ± 9,381 437 ± 104 50 ± 7 328 ± 12 15,623 ± 196 169 ± 38 60 ± 13 37 ± 7 108 ± 5 9 ± 2 5 ± 1 17 ± 1 629 ± 7 74 ± 3 11 ± 2 3,239 ± 487 15 ± 4 Lafarge 5 40,068 ± 3,321 12,079 ± 422 772,236 ± 9,665 740 ± 107 46 ± 7 319 ± 12 15,678 ± 201 153 ± 38 42 ± 12 36 ± 7 106 ± 5 7 ± 2 <LOD 17 ± 1 632 ± 7 79 ± 3 10 ± 2 2,445 ± 496 12 ± 4 Lafarge 7 42,795 ± 3,370 12,435 ± 428 767,523 ± 9,670 784 ± 107 42 ± 7 325 ± 12 15,627 ± 202 155 ± 38 46 ± 12 49 ± 7 103 ± 5 <LOD 3 ± 1 15 ± 1 631 ± 7 78 ± 3 10 ± 2 1,876 ± 495 16 ± 4 Lafarge 8 44,384 ± 3,409 12,998 ± 435 781,059 ± 9,826 624 ± 107 52 ± 7 314 ± 12 15,732 ± 203 <LOD 61 ± 13 45 ± 7 108 ± 5 7 ± 2 7 ± 1 16 ± 1 635 ± 7 72 ± 3 13 ± 2 3,359 ± 503 13 ± 4 Lafarge 9 48,107 ± 3,483 12,290 ± 431 790,632 ± 10,002 662 ± 108 53 ± 7 315 ± 12 16,036 ± 208 117 ± 38 70 ± 13 35 ± 7 114 ± 6 <LOD 4 ± 1 16 ± 1 649 ± 7 72 ± 3 11 ± 2 3,078 ± 508 16 ± 4 Lafarge 10 46,344 ± 3,394 12,600 ± 427 766,286 ± 9,585 654 ± 106 44 ± 7 302 ± 12 15,444 ± 198 <LOD 59 ± 12 44 ± 7 111 ± 5 9 ± 2 5 ± 1 15 ± 1 639 ± 7 73 ± 3 11 ± 2 2,398 ± 494 12 ± 4 Lafarge 11 48,247 ± 3,392 12,033 ± 417 767,323 ± 9,504 590 ± 105 56 ± 7 315 ± 12 15,542 ± 197 <LOD 71 ± 13 45 ± 7 112 ± 5 7 ± 2 6 ± 1 16 ± 1 632 ± 7 75 ± 3 7 ± 2 3,161 ± 492 15 ± 4 Mean 43,645. 6 ± 3,362.8 12,472 ± 425 776,409 ± 9,680 649 ± 106 51 ± 7 315 ± 12 15,721 ± 201 145 ± 60 58 ± 13 40 ± 7 110 ± 5 8 ± 3 5 ± 1 16 ± 1 637 ± 7 75 ± 3 10 ± 2 2,694 ± 496 15 ± 4 SD 3,238 ± 65 328 ± 6 9,906 ± 174 97 ± 1 5 ± 0 11 ± 0.3 191 ± 3.6 21 ± 36 10.6 ± 0.5 6.8 ± 0.3 7 ± 0.4 1 ± 2 1 ± 0.6 0.9 ± 0 6.5 ± 0 2.8 ± 0 1.9 ± 0 498 ± 6 2.3 ± 0 Note: LOD = limit of detection. 149

150 Figure K.4. XRF spectrum for Lafarge cement.

Table K.5. XRF Data for Lehigh Cement Reading S K Ca Ti Cr Mn Fe Co Ni Cu Zn Se Rb Sr Zr I Ba Lehigh cement 1 42,920 ± 3,378 23,470 ± 545 764,145 ± 9,616 1,187 ± 117 23 ± 7 286 ± 12 15,585 ± 201 194 ± 39 42 ± 13 38 ± 7 46 ± 4 6 ± 1 38 ± 2 1,864 ± 17 73 ± 3 3,070 ± 498 214 ± 23 Lehigh cement 2 43,473 ± 3,360 22,265 ± 526 767,588 ± 9,556 888 ± 115 32 ± 7 277 ± 11 15,650 ± 200 146 ± 38 39 ± 13 36 ± 7 40 ± 4 <LOD 40 ± 2 1,858 ± 17 73 ± 3 4,254 ± 498 206 ± 23 Lehigh cement 3 41,915 ± 3,337 22,770 ± 533 760,344 ± 9,513 918 ± 116 <LOD 255 ± 11 15,373 ± 197 135 ± 38 41 ± 13 21 ± 7 42 ± 4 5 ± 1 40 ± 2 1,830 ± 17 71 ± 3 3,369 ± 495 265 ± 23 Lehigh cement 4 44,384 ± 3,328 22,553 ± 525 746,943 ± 9,248 722 ± 113 34 ± 7 252 ± 11 15,297 ± 194 <LOD 38 ± 12 22 ± 7 41 ± 4 6 ± 1 37 ± 2 1,815 ± 17 68 ± 3 4,584 ± 491 218 ± 22 Lehigh cement 5 39,755 ± 3,274 23,060 ± 532 745,056 ± 9,274 1,210 ± 114 22 ± 7 242 ± 11 15,140 ± 193 187 ± 39 <LOD 45 ± 7 53 ± 4 5 ± 1 39 ± 2 1,862 ± 17 74 ± 3 2,254 ± 485 228 ± 23 Lehigh cement 6 53,535 ± 3,445 23,272 ± 533 756,323 ± 9,360 1,353 ± 115 29 ± 7 249 ± 11 15,341 ± 195 151 ± 39 41 ± 13 34 ± 7 51 ± 4 6 ± 1 41 ± 2 1,859 ± 17 74 ± 3 1,936 ± 486 207 ± 22 Lehigh cement 7 46,616 ± 3,406 22,453 ± 531 761,928 ± 9,552 1,230 ± 116 28 ± 7 283 ± 11 15,461 ± 199 <LOD 49 ± 20 29 ± 7 46 ± 4 3 ± 1 41 ± 2 1,857 ± 17 74 ± 3 2,047 ± 493 237 ± 23 Lehigh cement 8 44,407 ± 3329 21,811 ± 517 742,662 ± 9,218 1,274 ± 114 30 ± 7 259 ± 11 15,124 ± 192 184 ± 39 <LOD 31 ± 7 46 ± 4 4 ± 1 40 ± 2 1,867 ± 17 72 ± 3 2,321 ± 484 209 ± 22 Lehigh cement 9 39,109 ± 3304 22,713 ± 533 756,683 ± 9,475 1,196 ± 116 33 ± 7 268 ± 11 15,472 ± 198 149 ± 38 <LOD 24 ± 7 50 ± 4 7 ± 1 38 ± 2 1,840 ± 17 67 ± 3 2,469 ± 492 220 ± 23 Lehigh cement 10 45,207 ± 3438 25,147 ± 566 783,918 ± 9,883 1,047 ± 118 29 ± 7 280 ± 12 15,925 ± 206 134 ± 39 42 ± 13 26 ± 7 45 ± 4 5 ± 1 38 ± 2 1,886 ± 17 70 ± 3 2,290 ± 504 291 ± 24 Mean 44,132 ± 3,360 22,951 ± 534 758,559 ± 9,470 1,103 ± 115 29 ± 7 265 ± 11 15,437 ± 198 160 ± 38 42 ± 20 31 ± 7 46 ± 4 5 ± 1 39.2 ± 2 1,854 ± 17 72 ± 6 2,859 ± 493 230 ± 23 SD 4,043 ± 57 911 ± 13 12,242 ± 203 201 ± 1.5 4 ± 0 15.8 ± 0.4 242 ± 4 24 ± 0 3.5 ± 0 7.7 ± 0 4 ± 0 1.2 ± 0 1.42 ± 0 20 ± 0 2.5 ± 0 935 ± 6.4 28 ± 0.6 Note: LOD = limit of detection. 151

152 Figure K.5. XRF spectrum for Lehigh cement.

153 Table K.6. XRF Data for Sand Aggregate Reading K Ca Ti Cr Mn Fe Co Zn Rb Sr Zr Ba Pb Sand 1# 16,956 ± 272 11,239 ± 170 1,732 ± 61 26 ± 5 473 ± 10 17,110 ± 157 <LOD 30 ± 3 55 ± 1 182 ± 2 145 ± 2 212 ± 16 17 ± 2 Sand 2# 8,528 ± 207 23,249 ± 302 2,881 ± 84 30 ± 6 933 ± 16 33,035 ± 324 193 ± 49 32 ± 3 29 ± 1 184 ± 2 305 ± 3 192 ± 20 15 ± 2 Sand 3# 13,163 ± 244 8,612 ± 151 1,131 ± 60 31 ± 6 591 ± 12 27,295 ± 258 148 ± 39 32 ± 3 45 ± 1 214 ± 2 62 ± 2 195 ± 17 15 ± 2 Sand 4# 8,745 ± 205 15,310 ± 220 2,771 ± 81 35 ± 6 1,461 ± 21 34,968 ± 337 <LOD 42 ± 3 28 ± 1 179 ± 2 77 ± 2 184 ± 20 12 ± 2 Sand 5# 9,317 ± 212 23,739 ± 303 4,394 ± 99 37 ± 6 979 ± 16 31,065 ± 300 301 ± 45 27 ± 3 27 ± 1 190 ± 2 192 ± 2 238 ± 22 9 ± 2 Sand 6# 11,134 ± 226 18,984 ± 251 3,757 ± 89 33 ± 6 1,040 ± 16 29,787 ± 282 217 ± 42 25 ± 3 37 ± 1 177 ± 2 74 ± 2 221 ± 20 15 ± 2 Mean 11,307 ± 228 16,856 ± 233 2,778 ± 79 32 ± 6 913 ± 15 28,877 ± 276 215 ± 43 31 ± 3 37 ± 1 188 ± 2 143 ± 2 207 ± 19 14 ± 2 SD 3,275 ± 26 6,240 ± 65 1,216 ± 16 4 ± 0.4 352 ± 3.8 6,340 ± 65 64 ± 10 6 ± 0 11 ± 0 13.7 ± 0 94 ± 0.4 20 ± 2 2.9 ± 0 Note: LOD = limit of detection.

154 Figure K.6. XRF spectrum for sand aggregate.

Table K.7. XRF Data for Stone Aggregate Reading K Ca Ti Cr Mn Fe Ni Zn Rb Sr Zr Ba Pb Stone 1# 17,410 ± 325 16,749 ± 257 4,363 ± 105 56 ± 7 259 ± 10 19,340 ± 207 75 ± 10 33 ± 3 69 ± 1 121 ± 2 224 ± 3 285 ± 23 8 ± 2 Stone 2# 26,295 ± 422 9,782 ± 185 3,768 ± 99 41 ± 7 336 ± 11 23,522 ± 251 46 ± 10 46 ± 3 117 ± 2 199 ± 3 343 ± 3 293 ± 23 7 ± 2 Stone 3# 20,854 ± 485 59,757 ± 926 2,830 ± 133 42 ± 11 884 ± 23 51,288 ± 710 <LOD 51 ± 4 54 ± 2 284 ± 4 46 ± 2 544 ± 36 <LOD Stone 5# 16,765 ± 290 10,996 ± 180 3,493 ± 85 29 ± 5 166 ± 7 12,571 ± 126 27 ± 8 23 ± 2 38 ± 1 227 ± 3 222 ± 3 246 ± 19 9 ± 2 Stone 6# 14,063 ± 276 20,480 ± 285 3,002 ± 84 28 ± 6 354 ± 10 18,143 ± 187 29 ± 9 29 ± 3 33 ± 1 307 ± 3 112 ± 2 210 ± 19 6 ± 2 Stone 7# 14,556 ± 274 26,061 ± 332 3,916 ± 100 99 ± 8 1,048 ± 18 42,451 ± 416 61 ± 11 67 ± 4 26 ± 1 163 ± 2 238 ± 3 323 ± 24 9 ± 2 Mean 17,867 ± 331 22,087 ± 332 3,138 ± 92 44 ± 7 446 ± 12 24,483 ± 277 47.6 ± 9 37 ± 3 53 ± 1 219 ± 3 172 ± 2.4 297 ± 22 7.8 ± 2 SD 4,365 ± 89 17,645 ± 270 1,238 ± 28 27 ± 2 370 ± 6 16,671 ± 224 20 ± 1 20 ± 0.8 32 ± 0.5 65 ± 0.8 117 ± 0.8 120 ± 7.5 1.30384 ± 0 Note: LOD = limit of detection. 155

156 Figure K.7. XRF spectrum for stone aggregate.

157 Table K.8. XRF Data for Scotchkote Reading K Ca Ti Fe Co Cu Sr Zr Mo Ba Scotchkote 20-1# 484 ± 109 134,115 ± 1,096 62,209 ± 530 11,206 ± 90 86 ± 18 53 ± 4 34 ± 1 7 ± 1 6 ± 1 883 ± 47 Scotchkote 20-2# <LOD 137,183 ± 1,114 63,812 ± 540 11,372 ± 91 59 ± 18 52 ± 4 34 ± 1 7 ± 1 4 ± 1 829 ± 47 Scotchkote 20-3# <LOD 137,684 ± 1,134 63,627 ± 546 11,402 ± 93 93 ± 18 44 ± 4 34 ± 1 7 ± 1 6 ± 1 887 ± 47 Scotchkote 20-4# <LOD 133,303 ± 1,082 61,642 ± 522 10,999 ± 88 86 ± 18 41 ± 4 34 ± 1 7 ± 1 4 ± 1 835 ± 46 Scotchkote 20-5# 417 ± 109 138,639 ± 1,129 64,091 ± 543 11,405 ± 92 76 ± 18 54 ± 4 32 ± 1 7 ± 1 7 ± 1 854 ± 47 Scotchkote 10-1# 529 ± 109 136,325 ± 1,111 62,860 ± 534 11,242 ± 91 <LOD 47 ± 4 34 ± 1 7 ± 1 5 ± 1 884 ± 47 Scotchkote 10-2# 388 ± 106 134,688 ± 1,085 62,232 ± 523 11,160 ± 89 56 ± 18 47 ± 4 34 ± 1 6 ± 1 5 ± 1 934 ± 46 Scotchkote 10-3# 646 ± 110 136,432 ± 1,107 63,546 ± 537 11,226 ± 90 71 ± 18 50 ± 4 35 ± 1 6 ± 1 <LOD 820 ± 46 Scotchkote 5-1# 444 ± 111 141,321 ± 1,160 65,039 ± 556 11,631 ± 94 110 ± 18 45 ± 4 34 ± 1 7 ± 1 7 ± 1 932 ± 48 Scotchkote 5-2# 606 ± 110 137,357 ± 1,113 63,574 ± 537 11,252 ± 90 62 ± 18 48 ± 4 37 ± 1 8 ± 1 9 ± 1 816 ± 46 Mean 502 ± 109 136,705 ± 1,113 63,263 ± 537 11,290 ± 91 78 ± 18 48 ± 4 34 ± 1 6.9 ± 1 5.9 ± 1 867 ± 47 SD 97 ± 4 2,339 ± 24 1,023 ± 10 172 ± 2 18 ± 0 4 ± 0 1.2 ± 0 0.6 ± 0 1.6 ± 0 43.6 ± 0.7 Note: LOD = limit of detection. Figure K.8. XRF spectrum for Scotchkote.

158 Table K.9. XRF Data for Air 200 Cl 486 ± 55 K 295 ± 22 Fe 32 ± 2 Rb 5 ± 0 Sr 13 ± 1 Zr 35 ± 1 Mo 38 ± 1 Pb 4 ± 1 Figure K.9. XRF spectrum for Air 200. Table K.10. XRF Data for ADVA 190 Cl 416 ± 53 K 172 ± 20 Rb 5 ± 0 Sr 13 ± 1 Zr 35 ± 1 Mo 39 ± 1 Pb 3 ± 1 Figure K.10. XRF spectrum for ADVA 190. Table K.11. XRF Data for Sealtight 1100-CLEAR Cl 398 ± 46 K 207 ± 18 Rb 5 ± 0 Zr 34 ± 1 Mo 40 ± 1 Pb 3 ± 1 Figure K.11. XRF spectrum for Sealtight 1100-CLEAR.

159 Table K.12. XRF Data for Elvaloy 4170 Cl 472 ± 38 K 211 ± 14 Mn 4 ± 1 Rb 9 ± 0 Sr 18 ± 1 Zr 47 ± 1 Mo 50 ± 1 Pb 9 ± 1 Figure K.12. XRF spectrum for Elvaloy 4170.

160 Table K.13. XRF Data for Kraton D1101 Cl 483 ± 49 K 198 ± 18 Mn 17 ± 2 Fe 34 ± 2 Se 45 ± 1 Rb 210 ± 2 Sr 19 ± 1 Zr 49 ± 1 Mo 50 ± 1 Hg 7 ± 2 Pb 46 ± 2 Figure K.13. XRF spectrum for Kraton D1101.

161 Figure K.14. XRF spectrum for Eucon Retarder 75. Table K.14. XRF Data for Eucon Retarder 75 Cl 527 ± 54 K 293 ± 22 Fe 21 ± 2 Zn 6 ± 1 Rb 2 ± 0 Sr 8 ± 1 Zr 24 ± 1 Mo 28 ± 1 Hg 3 ± 1

162 Table K.15. XRF Data for Accelguard 80 Ca 155,496 ± 1,172 Rb 3 ± 1 Sr 1,471 ± 8 Mo 5 ± 1 I 1,390 ± 138 Figure K.15. XRF spectrum for Accelguard 80.

163 Table K.16. XRF Data for 3M All Weather Traffic Paint K 705 ± 182 Ca 416,493 ± 3,859 Ti 8,153 ± 134 Fe 1,701 ± 21 Sr 43 ± 1 Zr 25 ± 1 I 2,466 ± 287 Ba 105 ± 21 Figure K.16. XRF spectrum for 3M All Weather traffic paint.

Next: Appendix L - GPC Chromatograms »
Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials Get This Book
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 Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials
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TRB’s second Strategic Highway Research Program (SHRP 2) Report S2-R06B-RW-1: Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials documents evaluation results of practical, portable spectroscopic equipment for in-situ analysis of a wide range of commonly used construction materials.

The report also includes proposed American Association of State Highway and Transportation Officials (AASHTO) standards of practice for the analysis of titanium content in traffic paints by X-ray fluorescence and identification of chemical admixtures by attenuated total reflectance.

An e-book version of this report is available for purchase at Amazon, Google, and iTunes.

The results of Renewal Project R06B, which produced SHRP 2 Report S2-R06B-RW-1, were incorporated into an electronic repository for practitioners, known as the NDToolbox, which provides information regarding recommended technologies for the detection of a particular deterioration. The NDToolbox was created by SHRP 2 Renewal Project R06A, which has released SHRP 2 Report S2-R06A-RR-1: Nondestructive Testing to Identify Concrete Bridge Deck Deterioration that identifies nondestructive testing technologies for detecting and characterizing common forms of deterioration in concrete bridge decks.

Renewal Project R06B is one of seven follow-on projects to SHRP Renewal Project R06 that produced SHRP 2 Report S2-R06-RW: A Plan for Developing High-Speed, Nondestructive Testing Procedures for Both Design Evaluation and Construction Inspection, which examines existing and emerging nondestructive evaluation (NDE) technologies and their current state of implementation to satisfy the NDE needs for highway renewal.

In conjunction with SHRP 2 Renewal Project R06B, a library of reference spectra for pure materials was created that may be used to help identify materials in the field. Due to the size of the files, the spectral library is available for download in two parts (Part 1 and Part 2) in ZIP format. The database consists of a series of files with fingerprinting number values and keys to the material labels. It supplements the suggest standards developed under this project and can be used by quality assurance/quality control specialists.

Spectral Library Disclaimer: These materials are offered as is, without warranty or promise of support of any kind, either expressed or implied. Under no circumstance will the National Academy of Sciences or the Transportation Research Board (collectively “TRB”) be liable for any loss or damage caused by the installation or operation of these materials. TRB makes no representation or warranty of any kind, expressed or implied, in fact or in law, including without limitation, the warranty of merchantability or the warranty of fitness for a particular purpose, and shall not in any case be liable for any consequential or special damages.

The R06B Project produced a pilot to document its preliminary implementation activities.

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