本文關(guān)鍵詞：基于MCS-TOPSIS耦合模型的巖體質(zhì)量分類研究　出處：《巖石力學(xué)與工程學(xué)報(bào)》2017年05期 　論文類型：期刊論文

  更多相關(guān)文章： 巖石力學(xué) 蒙特卡洛模擬 逼近理想解排序法 不確定性 博弈論 巖體質(zhì)量分類

【摘要】：巖體質(zhì)量分類是各類巖土工程實(shí)踐問題的基礎(chǔ),由于巖體指標(biāo)參數(shù)的模糊性和隨機(jī)性,故巖體質(zhì)量分類表現(xiàn)出不確定性,而現(xiàn)有分類模型則忽略了這種參數(shù)不確定性對(duì)分類結(jié)果造成的影響�？紤]到分類指標(biāo)參數(shù)的不確定性,在巖體質(zhì)量分類問題中引入概率描述的可靠度分析方法,提出一種蒙特卡洛模擬(Monte Carlo simulation,簡(jiǎn)稱MCS)和逼近理想解排序法(technique for order preference by similarity to ideal solution,簡(jiǎn)稱TOPSIS)耦合模型。該模型由兩部分組成:通過博弈論賦權(quán)方法獲取分類體系中指標(biāo)的權(quán)重,并結(jié)合TOPSIS模型來建立可靠度分析中的極限狀態(tài)方程;基于MCS方法由TOPSIS模型構(gòu)建的極限狀態(tài)方程進(jìn)行隨機(jī)的不確定性分析,并通過概率函數(shù)給出最終的分類結(jié)果。通過25組測(cè)試樣本對(duì)基于博弈論組合賦權(quán)的TOPSIS模型進(jìn)行測(cè)試,結(jié)果顯示該模型的誤判率為0,表明MCS-TOPSIS模型中確定性分析的合理性。最后通過Matlab語言編制計(jì)算程序,分別由確定性分析和不確定性分析的角度來探討水布埡地下洞室廠房圍巖質(zhì)量分類。研究結(jié)果表明:采用MCS-TOPSIS模型進(jìn)行巖體質(zhì)量分類是可行的,該模型具有較高的準(zhǔn)確度且易于實(shí)現(xiàn),具有一定的工程應(yīng)用價(jià)值。該研究為巖體質(zhì)量分類提供了一種新思路。
[Abstract]:Rock mass quality classification is the basis of various geotechnical engineering practice problems. Because of the fuzzy and randomness of rock mass index parameters, rock mass quality classification shows uncertainty. However, the existing classification models ignore the influence of this parameter uncertainty on the classification results. Considering the uncertainty of the classification index parameters, the reliability analysis method of probability description is introduced into the rock mass quality classification problem. A Monte Carlo simulation is proposed for Monte Carlo simulation. MCSs and approximate ideal solution sort method (MCSs). Technique for order preference by similarity to ideal solution. The model consists of two parts: the weight of indicators in the classification system is obtained by game theory weighting method. The limit state equation in reliability analysis is established with TOPSIS model. Based on the MCS method, the limit state equation constructed by TOPSIS model is used for stochastic uncertainty analysis. The final classification results are given by probability function. The TOPSIS model based on game theory combination weight is tested by 25 groups of test samples. The result shows that the error rate of the model is 0. It shows the rationality of deterministic analysis in MCS-TOPSIS model. Finally, the calculation program is compiled by Matlab language. The quality classification of surrounding rock of underground cavern workshop of Shuibuya is discussed by deterministic analysis and uncertainty analysis respectively. The results show that:. It is feasible to use MCS-TOPSIS model to classify rock mass quality. The model is of high accuracy, easy to realize and has certain engineering application value. This study provides a new way for classification of rock mass quality.
【作者單位】： 成都理工大學(xué)地質(zhì)災(zāi)害防治與地質(zhì)環(huán)境保護(hù)國(guó)家重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家重點(diǎn)基礎(chǔ)研究計(jì)劃(973)項(xiàng)目(2013CB733202) 國(guó)家自然科學(xué)基金面上項(xiàng)目(41672282) 四川省青年科技創(chuàng)新研究團(tuán)隊(duì)(2015TD0030)~~
【分類號(hào)】：TU45
【正文快照】： 分類問題是巖土工程領(lǐng)域中常見的一類課題,如巖體質(zhì)量分類、巖爆傾向分類、邊坡危險(xiǎn)性分類等。除從力學(xué)和試驗(yàn)角度對(duì)這類問題進(jìn)行研究外,從數(shù)學(xué)上的多準(zhǔn)則綜合評(píng)價(jià)對(duì)這類問題進(jìn)行的研究也逐漸引起了一些研究人員的興趣[1-3]。尤其是得益于系統(tǒng)工程學(xué)科的發(fā)展,人們逐漸開始以系，

本文編號(hào)：1402791