Tailings Dam Risk Analysis Model Based on Blind Data Theory
Uncertainty information such as random, fuzzy, gray, unsure message widely ex-ists in the geotechnical engineering. Due to the complexity of the practical situation and defi-ciency of experiment data, calculation parameters are usually the mixture of multi uncertain-ties. Against this character, using the blind data to express the uncertainty of the calculationparameters, the theory of blind information is applied to the rigid limiting equilibrium meth-od for Tailings Dam stability; and a new method of computing safety factor has been put for-ward. The corresponding confidence level of safety factor in different numerical value inter-vals is computed by use of blind data algorithms; consequently the more comprehensive re-sult is provided to judge the stability state of railings dam, overcoming the defect of absolute-ly definitive description in the traditional methods. The case study indicates that the blind da-ta can consider the practical situation better in the tailings dam stability analysis; and the re-sult is more detailed and reliable, having good practical values.
Tailings dam uncertainty blind data tailings dam stability safety factor
Dong Longjun
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
国际会议
International Conference on Dam Safety Management(2008水库大坝安全管理国际研讨会)
南京
英文
277-282
2008-10-22（万方平台首次上网日期，不代表论文的发表时间）