(School of Nuclear Resources and Nuclear Fuel Engineering, University of South China, Hengyang 421001, China)
摘 要: 針對現(xiàn)有位移反分析方法所存在的反分析模型復(fù)雜、計算量大、分析過程人為干預(yù)多、求解難度高等問題，提出采用模式搜索算法優(yōu)化支持向量機(jī)，建立一種位移反分析的模式搜索支持向量機(jī)方法(PSA-SVM)。以湖南某礦山一個地下礦房為例，應(yīng)用所建方法對其圍巖力學(xué)特性參數(shù)進(jìn)行反演，并對該礦房圍巖穩(wěn)定性進(jìn)行數(shù)值模擬計算，分析礦房回采后對地面沉降的影響；并將模擬計算結(jié)果與長期監(jiān)測結(jié)果進(jìn)行比較分析。結(jié)果表明：這種位移反分析的模式搜索支持向量機(jī)方法的反演結(jié)果與實(shí)際值吻合良好，完全能夠滿足工程應(yīng)用的要求；此外，該方法還具有模型建立簡捷、參數(shù)調(diào)節(jié)明確且結(jié)果為全局最優(yōu)等特點(diǎn)，是一種優(yōu)異的位移反分析方法。
關(guān)鍵字: 模式搜索算法；支持向量機(jī)；位移反分析；圍巖；數(shù)值模擬
（School of Nuclear Resources and Nuclear Fuel Engineering, University of South China, Hengyang 421001, China）
Abstract:Aiming at the problems of current approaches for back analysis of displacements on complexity of back analysis model, large amount of calculation, human intervention and difficulty in solving orthogonal test design method, a PSA-SVM approach for back analysis of displacements is proposed by support vector machine (SVM) optimized by pattern search algorithm (PSA). A case study was performed in a stope underground in a mine, Hunan Province. This new approach for back analysis of displacements was used to inverse the mechanical parameters of the stope. And the reverse results have been used to carry out numerical calculation on the stope, and the effect of the stope on ground subsidence was analyzed. Furthermore, a comparison between the numerical calculation results and monitoring results was given and the both results were in good agreement with each other. The results show that the new approach can satisfy the requirements of engineering application. And it also show that this approach has some features as simple modelling, definitive parameters adjusting and accurate solution within a relatively large solution space, and is an excellent approach for back analysis of displacements.
Key words: pattern search algorithm; support vector machine; displacements back analysis; surrounding rock; numerical simulation
