本文選題：泥石流 + 危險性評價　； 參考：《南水北調(diào)與水利科技》2017年05期

【摘要】：針對泥石流危險性評價中權(quán)重和危險度,基于改進的組合賦權(quán)物元可拓評價模型,提出確定權(quán)重的優(yōu)化算法。首先,根據(jù)文獻分析泥石流危險度的分級標準,建立危險度評價指標,然后結(jié)合可拓物元評價理論,針對可拓法各指標權(quán)重確定的問題,將層次分析法計算得到的主觀權(quán)重結(jié)合投影尋蹤法所得到的客觀權(quán)重通過距離函數(shù)進行耦合,從而獲取各指標最終的綜合權(quán)重,結(jié)合投影尋蹤法優(yōu)化蝙蝠算法進行求解,形成泥石流評價的組合賦權(quán)物元可拓模型。最后,借助Mat lab語言,調(diào)用內(nèi)嵌工具箱和相應(yīng)數(shù)學(xué)函數(shù),編制程序得以實現(xiàn)。結(jié)合已有工程實例驗證表明:危險性評價與實際工程相符合,評價結(jié)果相對合理,具有一定的工程應(yīng)用價值。
[Abstract]:Aiming at the weight and risk degree of debris flow risk assessment, an optimization algorithm for determining the weight of debris flow is proposed based on the improved combinatorial weight matter-element extension evaluation model. First of all, according to the literature analysis of debris flow hazard classification standard, the risk evaluation index is established, and then combined with extension matter element evaluation theory, aiming at the extension method of the weight of each index to determine the problem, The subjective weight obtained by AHP combined with objective weight obtained by projection pursuit method is coupled by distance function to obtain the final comprehensive weight of each index, and the bat algorithm is optimized by projection pursuit method to solve the problem. Forming a combined weighted matter-element extension model for debris flow evaluation. Finally, with the help of Mat lab language, the embedded toolbox and the corresponding mathematical functions are called, and the program is realized. Combined with the existing engineering examples, it is shown that the risk assessment is in accordance with the actual project, the evaluation result is relatively reasonable, and it has certain engineering application value.
【作者單位】： 重慶三峽學(xué)院土木工程學(xué)院;長江水利委員會長江科學(xué)院;成都理工大學(xué)環(huán)境與土木工程學(xué)院;
【基金】：國家自然科學(xué)基金面上項目(51279219) 長江科學(xué)院開放研究基金資助項目(CKWV2016393/KY) 重慶市教委科學(xué)技術(shù)研究項目(KJ1601005) 重慶三峽學(xué)院校級重大培育項目(15ZP04);重慶三峽學(xué)院三峽庫區(qū)工程結(jié)構(gòu)防災(zāi)減災(zāi)與安全科研創(chuàng)新團隊~~
【分類號】：P642.23
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本文編號：2036522