【摘要】：針對(duì)大體積混凝土熱學(xué)參數(shù)反演精度受測(cè)點(diǎn)選擇及優(yōu)化算法的穩(wěn)定性影響較大的問題,本文提出了采用靈敏度最高的原則優(yōu)選熱學(xué)參數(shù)反演測(cè)點(diǎn)的方法,通過熱流耦合算法計(jì)算大體積混凝土施工期溫度場(chǎng),對(duì)各測(cè)點(diǎn)溫度進(jìn)行靈敏度分析,優(yōu)選出溫度對(duì)參數(shù)變化最靈敏的測(cè)點(diǎn);并引入逐步縮小搜索空間的方法改進(jìn)遺傳算法,根據(jù)多次尋優(yōu)結(jié)果逐步調(diào)整搜索空間,以提高反演效率和結(jié)果的穩(wěn)定性。工程實(shí)例分析結(jié)果表明,該方法可以提高混凝土熱學(xué)參數(shù)反演的效率、精度及反演結(jié)果的穩(wěn)定性,可提供滿足工程需要的熱學(xué)參數(shù)。
[Abstract]:In order to solve the problem that the accuracy of thermal parameter inversion of mass concrete is greatly affected by the stability of measuring point selection and optimization algorithm, this paper presents a method of selecting the best thermal parameter inversion point by using the principle of highest sensitivity. The temperature field of mass concrete during construction is calculated by heat flow coupling algorithm, and the temperature sensitivity of each measuring point is analyzed, and the most sensitive measuring point of temperature to parameter change is selected. In order to improve the inversion efficiency and the stability of the results, the genetic algorithm is introduced to reduce the search space step by step, and the search space is adjusted step by step according to the multiple search results. The analysis results of engineering examples show that this method can improve the efficiency, accuracy and stability of the inversion results of concrete thermal parameters, and can provide the thermal parameters to meet the engineering needs.
【作者單位】： 三峽大學(xué)水利與環(huán)境學(xué)院;三峽大學(xué)湖北省水電工程施工與管理重點(diǎn)實(shí)驗(yàn)室;武漢大學(xué)水利水電學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(51479103)
【分類號(hào)】：TV544

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本文編號(hào)：2411104