|
|
|
| Predicted optimizing mixture ratio of composite curing agent for soft clay based on PSO-SVM coupling algorithm |
| 1. School of Civil and Environmental Engineering, Ningbo University, Ningbo, Zhejiang 315211, China; 2. School of Civil Engineering and Architecture, Zhejiang University of Science and Technology, Hangzhou, Zhejiang 310023, China; 3. Research Center of Coastal and Urban Geotechnical Engineering, Zhejiang University, Hangzhou, Zhejiang 310058, China; 4. Taizhou Branch, Zhejiang-California International Nanosystems Institute, Taizhou, Zhejiang 318000, China |
|
|
|
|
Abstract To realize accurate prediction on the optimizing mixture ratio of composite curing agent for soft clay, according to the experimental data of unconfined compressive strength (qu) of solidified clay, a prediction model of qu for solidified clay was established based on SVM. The maximum unconfined compressive strength of solidified clay was taken as objective function, and the PSO-SVM coupling algorithm for the optimizing mixture ratio of composite curing agent for soft clay was proposed by combining particle swarm optimization algorithm (PSO). The effects of the maximum iteration number (Nmax) and the particle number (Np) on the prediction results of PSO-SVM algorithm were discussed. The results show that the accuracy of PSO-SVM algorithm is better than that of response surface method, and the proposed PSO-SVM algorithm is suitable for the determination of the optimizing mixture ratio of composite curing agent for any soft clay at a specific curing age. It is also suggested that using the proposed PSO-SVM algorithm, Nmax and Np should be greater than 60 and 40, respectively.
|
|
Received: 20 March 2020
|
|
|
|
| ［1］ |
郭印，徐日庆，邵允铖. 淤泥质土的固化机理研究\[J\].浙江大学学报（工学版）, 2008, 42(6): 1071-1075.
|
|
GUO Y, XU R Q, SHAO Y C. Study on mechanism of muddy soil stabilization\[J\]. Journal of Zhejiang University(Engineering Science),2008, 42(6): 1071-1075.(in Chinese)
|
| ［2］ |
杨爱武，周金，孔令伟. 天津滨海新区吹填软土固化试验研究\[J\]. 岩土力学，2013,34（9）:2442-2448.
|
|
YANG A W, ZHOU J, KONG L W. Experimental study of solidification of soft dredger fill in Tianjin Binhai New Area\[J\].Rock and Soil Mechanics,2013, 34（9）:2442-2448. (in Chinese)
|
| ［3］ |
庹秋水，朱剑锋，饶春义. 固化有机质土的抗剪强度试验研究\[J\]. 泥沙研究, 2017, 42(5): 70-74.
|
|
TUO Q S, ZHU J F, RAO C Y. Experimental study on shear strength of stabilized organic soil\[J\].Journal of Sediment Research,2017, 42(5): 70-74. (in Chinese)
|
| ［4］ |
畅帅，徐日庆，李雪刚，等. 基于响应面法的淤泥质土固化配方优化研究\[J\]. 岩土力学, 2014, 35(1):105-110.
|
|
CHANG S, XU R Q, LI X G, et al. Optimization of formula for stabilizing muddy soil using response surface methodology \[J\]. Rock and Soil Mechanics, 2014, 35(1): 105-110. (in Chinese)
|
| ［5］ |
李雪刚，徐日庆，畅帅，等. 响应面法优化有机质软土复合固化剂配方\[J\]. 浙江大学学报(工学版), 2014, 48(5): 843-849.
|
|
LI X G, XU R Q, CHANG S, et al. Application of response surface methodology on optimizing mixture ratio of composite curing agent used to improve organic matter soil stabilization\[J\]. Journal of Zhejiang University(Engineering Science), 2014, 48(5):843-849. (in Chinese)
|
| ［6］ |
朱剑锋，饶春义，庹秋水，等. 硫氧镁水泥复合固化剂加固淤泥质土的试验研究\[J\]. 岩石力学与工程学报，2019, 38（增1）: 3206-3214.
|
|
ZHU J F, RAO C Y, TUO Q S, et al. Experimental study on the properties of the organic soil solidified by the composite magnesium oxysulfate cement-curing agent\[J\]. Chinese Journal of Rock Mechanics and Engineering, 2019, 38(S1): 3206-3214. (in Chinese)
|
| ［7］ |
YI P, WEI K T, KONG X J， et al. Cumulative PSO-Kriging model for slope reliability analysis\[J\]. Probabilistic Engineering Mechanics， 2015,39：39-45.
|
| ［8］ |
VAPNIK V N. The Nature of Statistical Learning Theory\[M\]. New York，USA： Springer, 1995.
|
| ［9］ |
HUANG Y, ZHAO L. Review on landslide susceptibility mapping using support vector machines\[J\]. Catena， 2018, 165: 520-529.
|
| ［10］ |
陈昌富，李欣，龚晓南，等. 基于支持向量机沉降代理模型复合地基优化设计方法\[J\]. 铁道科学与工程学报, 2018, 15(6): 1424-1429.
|
|
CHEN C F, LI X, GONG X N, et al. Composite foundation′s optimization design of settlement′s surrogate models based on support vector machines \[J\]. Journal of Railway Science and Engineering,2018,15(6): 1424-1429. (in Chinese)
|
| ［11］ |
陈昌富，曾玉莹，肖淑君，等. 基于薄层单元法主动土压力计算的复合遗传算法\[J\]. 岩土力学,2006,27(3): 398-402.
|
|
CHEN C F, ZENG Y Y, XIAO S J, et al. Complex genetic method of active earth pressure based on thin-layer element method\[J\]. Rock and Soil Mechanics, 2006, 27(3): 398-402. (in Chinese)
|
| ［12］ |
ZHU J F, CHEN C F. Search for circular and noncircular critical slip surfaces in slope stability analysis by hybrid genetic algorithm \[J\]. Journal of Central South University of Technology, 2014, 21(1): 387-397.
|
| ［13］ |
王峰，周宜红，赵春菊，等. 基于改进粒子群算法的混凝土坝热学参数反演研究\[J\]. 振动与冲击, 2019, 38(12):168-181.
|
|
WANG F, ZHOU Y H, ZHAO C J, et al. Inverse analysis of concrete dam thermal parameters based on an improved particle swarm optimization method\[J\].Journal of Vibration and Shock, 2019, 38(12):168-181. (in Chinese)
|
| ［14］ |
万智，董辉，刘宝琛. 基于正交设计下SVM滑坡变形时序回归预测的超参数选择\[J\].岩土力学，2010，31(2):503-515.
|
|
WAN Z, DONG H, LIU B C. On choice of hyper-parameters of support vector machines for time series regression and prediction with orthogonal design \[J\]. Rock and Soil Mechanics, 2010，31(2):503-515. (in Chinese)
|
| ［15］ |
SHI Y H,EBERHART R. A Modified Particle Swarm Optimizer\[C\]∥Proc of IEEE Icec Conference,1998：67-73.
|
| ［16］ |
赵远东，方正华. 带有权重函数学习因子的粒子群算法\[J\].计算机应用，2013，33(8):2265-2268.
|
|
ZHAO Y D, FANG Z H. Particle swarm optimization algorithm with weight function′s learning factor \[J\]. Journal of Computer Application, 2013，33(8): 2265-2268. (in Chinese)
|
|
|
|
2021, Vol. 42 
