Page 113 - 2022年第53卷第1期

Multi-objective intelligent optimization design and analysis method for
mix proportion of hydraulic high performance concrete

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REN Qiubing ，LI Wenwei ，LI Mingchao ，YANG Lin ，ZHANG Mengxi ，SHEN Yang 2
（1. State Key Laboratory of Hydraulic Engineering Simulation and Safety，Tianjin University，Tianjin 300354，China；
2. China Three Gorges Corporation，Beijing 100038，China）
Abstract：The diversified application of high performance concrete （HPC） in hydraulic engineering puts for⁃
ward higher requirements for its mix proportion design. In order to achieve the efficient and accurate con⁃
crete mix， this paper combines the artificial intelligence algorithm and meta-heuristic search technique to
develop a novel method for HPC mix optimization design that comprehensively considers multi-objective re⁃
quirements （mechanical properties，economy and environmental protection） The developed method mainly in⁃
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cludes that：（1） Establishing a HPC mix proportion multi-objective optimization mathematical model that
takes mix parameters as design variables and takes compressive strength，unilateral production cost and car⁃
bon dioxide emissions as optimization goals；（2） Proposing a model solving method based on the random
forest and adaptive evolutionary particle swarm optimization （AEPSO） algorithms， where random forest is
used to characterize the complex nonlinear relationship between the mix proportion of raw materials and the
compressive strength，while AEPSO for the optimal Pareto front，in order to obtain the optimal mix propor⁃
tion of different biases. The proposed method has been used to optimize the mix proportion of HPC for a
certain project，and the effectiveness and superiority of the proposed method are verified by comparing with
the traditional method.
Keywords： high performance concrete; mix proportion design; compressive strength prediction; multi-objec⁃
tive optimization; random forest algorithm
（责任编辑：王冰伟）

（上接第 97 页）
Experimental and numerical analysis of unsaturated water transfer of RCC layers

LI Mingchao ，FENG Da ，ZHANG Mengxi ，
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DENG Genhua ，ZHANG Juntao ，HE Yinpeng
（1. State Key Laboratory of Hydraulic Engineering Simulation and Safety，Tianjin University，Tianjin 300350，China；
2. Yellow River Engineering Consulting Co.，Ltd，Zhengzhou 450000，China）
Abstract： The phenomenon of concrete structure being damaged by environmental erosion is widespread in
water conservancy projects，and unsaturated water transport is an important factor causing environmental ero⁃
sion. Due to the construction characteristics of roller compacted concrete （RCC）， it is easy to have weak
surfaces such as interlayer and interface. Studying the migration behavior of unsaturated water is helpful for
improving the durability of concrete. In order to analyze the characteristics and influencing mechanism of wa⁃
ter transport in RCC， the anisotropy of roller compacted concrete in the process of water movement and
the influence of interlayer on water movement characteristics were emphatically analyzed by combining exper⁃
iments and meso-scale simulations，in addition to the initial conditions and water absorption time. The ex⁃
perimental results show that the water transport characteristics of RCC are quite different in different direc⁃
tions， and the interlayer bonding and its position have great influence on the water transport process of
RCC， which provides a scientific basis for improving the anti-seepage and anti-cracking performance of
RCC.
Keywords：RCC；interlayer；unsaturated water transfer；meso-scale simulation；anisotropy
（责任编辑：王冰伟）

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