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Sciences in Cold and Arid Regions ›› 2018, Vol. 10 ›› Issue (6): 447-457.doi: 10.3724/SP.J.1226.2018.00447

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Applying the AHP-FUZZY method to evaluate the measure effect of rubble roadbed engineering in permafrost regions of Qinghai-Tibet Plateau: a case study of Chaidaer-Muli Railway

Wei Cao,Yu Sheng*(),Ji Chen,JiChun Wu   

  1. State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
  • Received:2018-04-24 Accepted:2018-08-22 Online:2018-12-01 Published:2018-12-29
  • Contact: Yu Sheng E-mail:sheng@lzb.ac.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (Nos. 41501079 and 91647103), the self-determined Project Funded by State Key Laboratory of Frozen Soil Engineering (No. SKLFSE-ZQ-43), the Foundation for Excellent Youth Scholars of NIEER, CAS.

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Abstract:

This article attempts to investigate the measure effect of rubble roadbed engineering in permafrost regions of Qinghai-Tibet Plateau. As a case study, Chaidaer-Muli Railway is used to evaluate the measure effect of rubble roadbed engineering in permafrost regions. The AHP (Analytic Hierarchy Process) method is thus employed to establish the evaluation indicator system. The evaluation factor is selected by analyzing the mutual relation between the permafrost environment and roadbed engineering. Thus, a hierarchical structure model is established based on the selected evaluation indices. Each factor is weighted to determine the status in the evaluation system, and grading standards are built for providing a basis for the evaluation. Then, the fuzzy mathematical method is introduced to evaluate the measure effect of rubble roadbed engineering in permafrost regions along the Chadaer-Muli Railway. Results show that most of the permafrost roadbed is in a preferable condition (b) along the Chaidaer-Muli Railway due to rubble engineering measures. This proportion reaches to 86.1%. The proportion in good (a), general (c) and poor states (d) are 0.0%, 7.5% and 6.4%, respectively, in all the evaluation sections along the Chaidaer-Muli Railway. Ground-temperature monitoring results are generally consistent with AHP-FUZZY evaluation results. This means that the AHP-FUZZY method can be applied to evaluate the effect of rubble roadbed engineering measures in permafrost regions. The effect evaluation of engineering measures will provide timely and effective feedback information for further engineering design. The series of engineering measures will more effectively protect permafrost stability.

Key words: measure effect evaluation, rubble roadbed engineering, permafrost regions of Qinghai-Tibet Plateau, AHP-FUZZY method, Chaidaer-Muli Railway

Figure 1

Location of the study area. (a) Map of China and Qinghai Province. (b) Permafrost zones along the Chadaer-Muli Railway according to mean annual ground temperatures"

Figure 2

Evaluation system of the measure effect of the rubble roadbed engineering in permafrost regions along the Chaidaer-Muli Railway"

Table 1

Classification criterion of effecting evaluation of rubble roadbed engineering in permafrost regions"

Subsystem Indicator Good (a) Preferably (b) General (c) Poor (d)
A1 (°C) ≤?4.5 ?3.5 to ?4.5 ?3.0 to ?3.5 ≥?3.0
A A2 (%) ≥70 30–70 10–30 ≤10
A3 Hardly influenced Influenced Greatly influenced Strongly influenced
A4 Gravelly soil Sand gravel Mealy sand Silty clay
B1 (°C) ≤?2.0 ?2.0 to ?1.0 ?1.0 to ?0.5 ≥?0.5
B B2 S D F B, H
B3 (m) ≤1.0 1.0–2.0 2.0–3.0 ≥3.0
C1 (m) ≤3 3–4 4–5 ≥5
C C2 (cm) 30–40 20–30 10–20 ≤10
C3 (m) ≥2 1–2 0.5–1 ≤0.5
C4 (MP) ≥60 30–60 5–30 ≤5

Table 2

Membership degree of the single-factor evaluation"

Evaluation grade Good Preferably General Poor
a 0.8 0.2 0.0 0.0
b 0.1 0.8 0.1 0.0
c 0.0 0.1 0.8 0.1
d 0.0 0.0 0.2 0.8

Table 3

Weight of evaluation indicator for the measure effect of rubble roadbed engineering"

Indicator A B C Weight
A 1 1/2 1/3 0.17
B 2 1 1 0.39
C 3 1 1 0.44

Table 4

Weight of evaluation indicator for the natural environment"

Indicator A1 A2 A3 A4 Weight
A1 1 2 1/3 1/2 0.17
A2 1/2 1 1/3 1/2 0.12
A3 3 3 1 2 0.45
A4 2 2 1/2 1 0.26

Table 5

Weight of evaluation indicator for the permafrost characteristic"

Indicator B1 B2 B3 Weight
B1 1 1 2 0.39
B2 1 1 3 0.44
B3 1/2 1/3 1 0.17

Table 6

Weight of evaluation indicator for the engineering measure"

Indicator C1 C2 C3 C4 Weight
C1 1 1/3 1/2 1/3 0.11
C2 3 1 2 2 0.42
C3 2 1/2 1 1 0.22
C4 3 1/2 1 1 0.25

Table 7

Evaluation results of the measure effect of rubble roadbed engineering in permafrost regions along Chaidaer-Muli Railway"

Serial number Mileage range A B C Evaluation results
A1 A2 A3 A4 B1 B2 B3 C1 C2 C3 C4
1 K34+100–36+620 c a c d c d b a a b b b
2 K37+677–38+050 c a c a c d b c a b b c
3 K39+550–43+536 c a d a c d b d a b b b
4 K43+930–44+000 d a c a d c b d a b b b
5 K46+600–47+750 d a c a d d b a a b b d
6 K48+057–49+840 d a c d d d b a a b b d
7 K52+815–53+825 c a b d c c b d a b b b
8 K72+000–74+960 b b c a c c c d a b b c
9 K81+780–85+740 b b d a b c c b a b b b
10 K87+360–88+520 b a b a b d b c a b b b
11 K89+200–89+600 b a b b b d b c a b b b
12 K93+700–94+100 b a d a b c b a a b b b
13 K94+300–95+100 b a c a b b b b a b b b
14 K98+500–100+700 b a c b b c b c a b b b
15 K100+900–101+500 b a c a b d b c a b b b
16 K102+400–103+200 b a c a b d b b a b b b
17 K103+500–104+400 b a d c b d b d a b b b
18 K104+900–105+600 b a d a b d b b a b b b
19 K105+900–106+400 b a d b b d b b a b b b
20 K107+600–109+100 b a c a b d b a a b b b
21 K109+900–110+200 b a c a b d b a a b b b
22 K110+700–121+400 b a d a b d b d a b b b
23 K122+300–124+400 a a d a b a b d a b b b
24 K124+900–132+300 a a c a b d b a a b b b
25 K135+700–141+300 a a c a b d b a a b b b

Figure 3

Evaluation grading results of the measure effect of rubble roadbed engineering in permafrost regions along Chaidaer-Muli Railway (a: good state; b: preferable state; c: general state; d: poor state)"

Figure 4

Weight of evaluation indicator for the measure effect of the rubble roadbed engineering in permafrost regions along Chaidaer-Muli Railway (A1: annual mean temperature; A2: vegetation cover; A3: slope gradient and aspect; A4: soil property; B1: annual average ground temperature; B2: permafrost type; B3: permafrost table; C1: embankment height; C2: rubble particle size; C3: rubble layer thickness; C4: rubble intensity) "

Table 8

Classification for effecting characteristic of rubble roadbed engineering in permafrost regions"

Characteristic indicator a b c d
Permafrost table raising (m) ≥0.5 0.1–0.5 ?0.1 to 0.1 ≤?0.1
Ground temperature descending (°C) ≥0.2 0.1–0.2 0.0–0.1 ≤0.0
Temperature field symmetry (°C) ≤0.3 0.3–0.5 0.5–0.7 ≥0.7
Roadbed deformation Almost no cracks Fewer cracks Much cracks More cracks

Table 9

Effecting evaluation of rubble experimentation roadbed engineering in permafrost regions of Chaidaer-Muli Railway"

Serial number Mileage range Evaluate results
Fuzzy evaluation value Actual monitoring value
M1 M2 M3 M4
1 DK39+800 b b b a a
2 DK40+000 b b b a a
3 DK74+000 b b b a a
4 DK123+150 b a b b a
5 DK123+250 b b c a a
1 Cao W, Sheng Y, Qin YH, 2009. AHP for the assessment of permafrost environment in Muli mining area of Qinghai Province, China. In: Proceedings of the 14th Conference on Cold Regions Engineering. Duluth, MN: ASCE, pp. 201–211. DOI: 10.1061/41072(359)23.
2 Chen J, Song RF, Sheng Y, et al. Cooling effect of measures for rubble subgrade convection of Chaidaer-Muli Railway. Journal of Railway Engineering Society 2011; 28: 5 40- 44, 55.
doi: 10.3969/j.issn.1006-2106.2011.05.009
3 Chen L, Yu WB, Han FL, et al. Impacts of Aeolian sand on cooling effect of crushed-rock embankment of Qinghai-Tibet Railway. Journal of Glaciology and Geocryology 2015; 37: 1 147- 155.
doi: 10.7522/j.issn.1000-0240.2015.0016
4 Chen Q, Hu K, Luo KL, et al. Study on the synthetical assessment model of mine eco-environments based on AHP. Journal of China University of Mining & Technology 2006a; 35: 3 377- 383.
doi: 10.3321/j.issn:1000-1964.2006.03.018
5 Chen TF, Cui P, Yao LK Impact of highway engineering construction on geological environment in southwest mountain area: fuzzy synthetic evaluation. Journal of Natural Disasters 2006b; 15: 3 8- 13.
doi: 10.3969/j.issn.1004-4574.2006.03.002
6 Cheng GD A roadbed cooling approach for the construction of Qinghai-Tibet Railway. Cold Regions Science and Technology 2005a; 42: 2 169- 176.
doi: 10.1016/j.coldregions.2005.01.002
7 Cheng GD Constructing of the Qinghai-Tibet Railroad using the principle of cooling the roadbed. Journal of Glaciology and Geocryology 2005b; 27: 1 1- 7.
doi: 10.3969/j.issn.1000-0240.2005.01.001
8 Cheng GD, Ma W Permafrost engineering problems in the construction of the Qinghai-Tibet Railway. Chinese Journal of Nature 2006; 28: 6 315- 320.
doi: 10.3969/j.issn.0253-9608.2006.06.002
9 Hou YD, Wu QB, Sun ZZ, et al. The coupled reinforcing effect of crushed rock slope protection and thermosyphons in Qinghai-Tibet Railway. Journal of Glaciology and Geocryology 2015; 37: 1 118- 125.
doi: 10.7522/j.issn.1000-0240.2015.0012
10 Lai YM, Zhang LX, Xu WZ, et al. Temperature features of broken rock mass embankment in the Qinghai-Tibetan Railway. Journal of Glaciology and Geocryology 2003; 25: 3 291- 296.
doi: 10.3969/j.issn.1000-0240.2003.03.009
11 Ma W, Wu QB, Cheng GD Analyses of the temperature fields within an air convective embankment of crushed rock structure along the Qinghai-Tibet Railway. Journal of Glaciology and Geocryology 2006; 28: 4 586- 595.
doi: 10.3969/j.issn.1000-0240.2006.04.019
12 Niu FJ, Liu MH, Cheng GD, et al. Long-term thermal regimes of the Qinghai-Tibet Railway embankments in plateau permafrost regions. Science China Earth Sciences 2015; 58: 9 1669- 1676.
doi: 10.1007/s11430-015-5063-0
13 Sheng Y, Zhang JM, Liu YZ, et al. Thermal regime in the embankment of Qinghai-Tibetan Highway in Permafrost regions. Cold Regions Science and Technology 2002; 35: 1 35- 44.
doi: 10.1016/S0165-232X(02)00026-5
14 Sun ZZ, Ma W, Li DQ Study of adjusting temperature effect of ripped-rock in-situ. Rock and Soil Mechanics 2006; 27: 11 2001- 2004.
doi: 10.3969/j.issn.1000-7598.2006.11.028
15 Wang AG, Ma W, Wu ZJ Study on influence of sand-and-gravel layer thickness up block-stone railway embankment on cooling effect of frozen-soil foundation. Chinese Journal of Rock Mechanics and Engineering 2005; 24: 13 2333- 2341.
doi: 10.3321/j.issn:1000-6915.2005.13.023
16 Wu QB, Zhao SY, Ma W, et al. Monitoring and analysis of cooling effect of block-stone embankment for Qinghai-Tibet Railway. Chinese Journal of Geotechnical Engineering 2005a; 27: 12 1386- 1390.
doi: 10.3321/j.issn:1000-4548.2005.12.004
17 Wu ZJ, Ma W, Sheng Y, et al. Cooling effectiveness analysis of the vent-pipe, cast-detritus and heat preservation material on protecting embankment in permafrost regions. Rock and Soil Mechanics 2005b; 26: 8 1288- 1293.
doi: 10.3969/j.issn.1000-7598.2005.08.020
18 Wu ZW, Liu YZ, 2005. Frozen Subsoil and Engineering. Beijing: China Ocean Press.
19 Xie JJ, Liu CP, 2000. The Method of Fuzzy Mathematics and Its Application. The 2nd ed. Wuhan: Huazhong University of Science and Technology Press.
20 Xu AH Numerical simulation study of the thermosyphon applied to wide embankment in permafrost regions of Gonghe-Yushu Expressway of National Highway 214. Journal of Glaciology and Geocryology 2014; 36: 4 987- 993.
doi: 10.7522/j.issn.1000-0240.2014.0119
21 Xu JH, 2002. Mathematical Methods in Contemporary Geography. The 2nd ed. Beijing: Higher Education Press.
22 Xu XZ, Sun BX, Lai YM, et al. Study on the long-term effects of ballast embankment of the Qinghai-Tibet Railway. Journal of Glaciology and Geocryology 2004; 26: 1 101- 105.
doi: 10.3969/j.issn.1000-0240.2004.01.015
23 Zadeh LA Fuzzy sets. Information and Control 1965; 8: 3 338- 353.
doi: 10.1016/S0019-9958(65)90241-X
24 Zhang B, Sheng Y, Chen J, et al. The permafrost regions along Chai-Mu Railway: engineering geological characteristics and evaluations. Journal of Glaciology and Geocryology 2011; 33: 2 381- 387.
25 Zhang K, Li DQ, Tao K, et al. Study of the long-term cooling effect of special embankments of high-grade highways in permafrost regions. Journal of Glaciology and Geocryology 2014; 36: 4 976- 986.
doi: 10.7522/j.issn.1000-0240.2014.0118
26 Zheng MX, Yin ZZ, Wu JM, et al. Post-fuzzy comprehensive evaluation of effectiveness of landslide control. Chinese Journal of Geotechnical Engineering 2006; 28: 10 1224- 1229.
doi: 10.3321/j.issn:1000-4548.2006.10.009
27 Zhou YW, Guo DX, Qiu GQ, et al., 2000. Geocryology in China. Beijing: Science Press.
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