Table 3. Results of CPT, Szb, ∆E, and FT

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Presentation transcript:

Table 3. Results of CPT, Szb, ∆E, and FT Sample CPT 0C Szb 0C/min ΔE mV FT 0C SECL -1 175 68 132 550 SECL -2 182 74 159 555 SECL -3 156 85 135 540 SECL -4 178 70 130 545 SECL -5 158 99 165 SECL -6 163 77.36 133 535 SECL -7 176 69.14 152 575 SECL -8 63.26 125 580 SECL -9 154 107.89 116 525 SECL -10 188 65.42 140 SCCL-1 73 520 SCCL-2 180 67 155 500 SCCL-3 153 111 530 SCCL-4 179 55 151 510 SCCL-5 164 77 136 SCCL-6 168 78 150 SCCL-7 166 59 143 SCCL-8 157 105.74 SCCL-9 172 74.28 144 MCL-1 98 MCL-2 104 82 515 MCL-3 109 MCL-4 142 105 MCL-5 110 92 MCL-6 81 MCL-7 148 117.61 75 480 MCL-8 58.23 95 WCL-1 131 WCL-2 149 112 141 WCL-3 107 139 WCL-4 147 89 145 WCL-5 72 560 WCL-6 93 WCL-7 59.08 114 WCL-8 108.95 94 WCL-9 116.48 WCL-10 118.73 475 NEC-1 56 NEC-2 118 65 NEC-3 111.88 NEC-4 115.58 NEC-5 113.16 69 NEC-6 68.69 87 570 NCL-1 490 NCL-2 146 170 IISCO-1 45 46 IISCO-2 48 BCCL-1 64.55 TISCO-1 192 58.06 67 590 Devidas S. Nimaje et al. Assessment of Fire Risk of Indian Coals Using Artificial Neural Network Techniques. American Journal of Mining and Metallurgy, 2015, Vol. 3, No. 2, 43-53. doi:10.12691/ajmm-3-2-2 © The Author(s) 2015. Published by Science and Education Publishing.