本文選題：高面板堆石壩 + 參數(shù)反演　； 參考：《武漢大學(xué)》2017年碩士論文

【摘要】：隨著國(guó)家經(jīng)濟(jì)發(fā)展,國(guó)內(nèi)水電開(kāi)發(fā)力度進(jìn)一步加強(qiáng),其主戰(zhàn)場(chǎng)逐步向西和西南方向轉(zhuǎn)移,隨之帶來(lái)的是面板堆石壩的規(guī)模從200m級(jí)向300m級(jí)跨越,300m級(jí)面板堆石壩的堆石體顆粒所處的應(yīng)力環(huán)境相對(duì)于200m級(jí)面板堆石壩發(fā)生了較大的變化,高圍壓下所表現(xiàn)出來(lái)的變形特性更加復(fù)雜。由于尺縮效應(yīng)的存在,目前常用的堆石體本構(gòu)模型以及室內(nèi)試驗(yàn)的參數(shù)測(cè)定方式無(wú)法對(duì)大壩應(yīng)力變形進(jìn)行有效模擬,對(duì)大壩修建過(guò)程中或后期運(yùn)行階段的應(yīng)力變形特點(diǎn)和趨勢(shì)無(wú)法有效預(yù)測(cè),使得面板堆石壩建設(shè)的安全性、經(jīng)濟(jì)性得不到有效保障。基于實(shí)測(cè)資料對(duì)堆石體本構(gòu)模型參數(shù)進(jìn)行修正是指導(dǎo)大壩安全施工和變形預(yù)測(cè)的有效手段。已有的堆石體參數(shù)反演方法主要為單目標(biāo)方法,對(duì)整個(gè)壩體或某個(gè)斷面僅采用一個(gè)目標(biāo)函數(shù),其未考慮堆石材料對(duì)變形的區(qū)域性影響,將所有材料整合到一起,映射關(guān)系復(fù)雜,反演效果不佳,結(jié)果不穩(wěn)定。本文引入多目標(biāo)的思想,將壩體劃分多個(gè)子區(qū)間,在每個(gè)子區(qū)間內(nèi)建立反演子目標(biāo)函數(shù),從而充分考慮材料的區(qū)域性影響,并基于非支配排序的多目標(biāo)遺傳算法(NSGA-Ⅱ),從而兼顧了材料的全局性影響,提出了基于NSGA-Ⅱ和RBF神經(jīng)網(wǎng)絡(luò)的堆石壩多目標(biāo)參數(shù)反演方法。本文的主要研究?jī)?nèi)容如下:1)介紹了非支配排序的多目標(biāo)遺傳算法(NSGA-Ⅱ)和RBF神經(jīng)網(wǎng)絡(luò)的基本原理,以及與堆石壩參數(shù)反演工程應(yīng)用的搭接技術(shù),搭建了基于NSGA-Ⅱ算法和RBF神經(jīng)網(wǎng)絡(luò)的高堆石壩多目標(biāo)參數(shù)反演平臺(tái),并系統(tǒng)闡述了該反演平臺(tái)的各個(gè)環(huán)節(jié)。2)總結(jié)了堆石壩的分區(qū)原則和典型形式,并以此提出了子區(qū)間劃分的基本原理、方法和優(yōu)勢(shì)。以一種典型材料分區(qū)模式為例,建立標(biāo)準(zhǔn)壩模型,進(jìn)行材料區(qū)域敏感性分析研究,總結(jié)規(guī)律,驗(yàn)證了堆石材料對(duì)變形的區(qū)域性影響以及提出了針對(duì)該分區(qū)模式的反演子區(qū)間劃分方案。3)闡述了堆石體E-B本構(gòu)模型和流變本構(gòu)模型的基本原理,以及瞬變-流變的有限元聯(lián)合計(jì)算法方法。并通過(guò)對(duì)瞬變和流變本構(gòu)模型的力學(xué)參數(shù)敏感性研究,選出了最合適的反演參數(shù)。通過(guò)整理和分析水布埡面板堆石壩的變形監(jiān)測(cè)資料,選出了最合適的反演斷面和測(cè)點(diǎn)。4)運(yùn)用上述方法對(duì)水布埡主堆石和次堆石的瞬變-流變參數(shù)進(jìn)行了反演,并與單目標(biāo)反演方法進(jìn)行了對(duì)比分析。計(jì)算結(jié)果表明,多目標(biāo)參數(shù)反演方法不僅在變形量和變形趨勢(shì)上與實(shí)測(cè)值基本一致,且所有監(jiān)測(cè)點(diǎn)的反演計(jì)算值與實(shí)測(cè)值均吻合較好,計(jì)算結(jié)果的穩(wěn)定性較好,整體變形和應(yīng)力分布規(guī)律均符合實(shí)際,而單目標(biāo)參數(shù)反演的計(jì)算結(jié)果只在局部區(qū)域與實(shí)測(cè)值較為接近,計(jì)算結(jié)果不穩(wěn)定,多目標(biāo)參數(shù)反演計(jì)算結(jié)果明顯優(yōu)于單目標(biāo)參數(shù)反演,說(shuō)明了本文提出的多目標(biāo)參數(shù)反演方法具有合理性和優(yōu)越性。
[Abstract]:With the development of the national economy, domestic hydropower development has been further strengthened, and its main battlefield has gradually shifted to the west and southwest. As a result, the stress environment of the rockfill grain in the face rockfill dam from 200m to 300m is changed compared with that of 200m CFRD. The deformation characteristics under high confining pressure are more complicated. Due to the existence of scale shrinkage effect, the commonly used constitutive model of rockfill and the measurement of parameters in laboratory tests can not effectively simulate the stress and deformation of the dam. The characteristics and trends of stress and deformation in the process of dam construction or in the later stage of operation can not be effectively predicted, which makes the construction of face rockfill dam safe and economic can not be effectively guaranteed. It is an effective method to guide dam safety construction and deformation prediction by modifying the parameters of constitutive model of rockfill based on the measured data. The existing inversion methods of rockfill parameters are mainly single-objective method. Only one objective function is used for the whole dam body or a section. The method does not take into account the regional influence of rockfill material on deformation, so all materials are integrated together and the mapping relationship is complex. The inversion effect is not good and the result is unstable. In this paper, the idea of multi-objective is introduced, the dam body is divided into several sub-regions, and the inversion subobjective function is established in each sub-interval, so as to fully consider the regional influence of the material. A multi-objective genetic algorithm (NSGA- 鈪，

本文編號(hào)：2097959