Skoči na glavni sadržaj

Izvorni znanstveni članak

https://doi.org/10.17559/TV-20200917163330

Risk Assessment Based on Combined Weighting-Cloud Model of Tunnel Construction

Jing-chun Wang* ; College of Civil Engineering, Shijiazhuang TieDao University (STDU), 17 Northeast, Second Inner Ring, Shijiazhuang, Hebei, China
Jia-qi Liu ; College of Civil Engineering, Shijiazhuang TieDao University (STDU), 17 Northeast, Second Inner Ring, Shijiazhuang, Hebei, China
Qiang Wei ; China Railway Construction Management Co. Ltd., Beijing, China
Peng Wang ; China Railway Construction Management Co. Ltd., Beijing, China


Puni tekst: engleski pdf 612 Kb

str. 203-210

preuzimanja: 528

citiraj


Sažetak

In order to reduce the tunnel construction accidents and ensure the safety of personnel, a comprehensive assessment method of tunnel construction risk based on combination weighting and cloud model is constructed according to the characteristics of tunnel construction. The risk assessment index system is established based on researches on engineering geological condition, natural environmental condition, Tunnel engineering design scheme and construction management. On this basis, the tunnel risk is divided into 4 levels and the index risk level standard is proposed. In order to improve the rationality of weighting, a weight calculation method based on AHP, entropy method and Lagrange multiplier method is constructed. Finally, the normal cloud generator is used to form comparison pictures of risk clouds and standard clouds, which demonstrates the risk status of the evaluation indexes at all levels. With reference to Deda Tunnel of Sichuan-Tibet Railway engineering of high integrated risk level, management decision-making is required. The evaluation results are basically consistent with engineering practices, proving that the method has good feasibility and applicability.

Ključne riječi

cloud model; combination weight; risk assessment; tunnel construction

Hrčak ID:

251551

URI

https://hrcak.srce.hr/251551

Datum izdavanja:

5.2.2021.

Posjeta: 1.397 *