湖南工业大学学报
湖南工業大學學報
호남공업대학학보
JOURNAL OF HUNAN UNIVERSITY OF TECHNOLOGY
2011年
6期
66-70
,共5页
管桩%极限承载力%预测%Logistic粒子群优化
管樁%極限承載力%預測%Logistic粒子群優化
관장%겁한승재력%예측%Logistic입자군우화
tubular pile%ultimate bearing capacity%forecast%Logistic particle swarm optimization
分析了桩的荷载传递规律，指出在桩顸静荷载作用下，单桩承载力的变化经历了发生、发展、成熟并趋于饱和的过程。运用生物生长观点，将Logistic函数模型用于单桩极限荷载的预测中，给出了模型参数估计的粒子群优化（PSO）方法，并通过实例分析将PSO-Logistic模型与常用预测模型进行了对比。结果表明：桩的荷载-沉降曲线可用Logistic函数描述，且PSO—Logistic模型的预测精度更高。
分析瞭樁的荷載傳遞規律，指齣在樁頇靜荷載作用下，單樁承載力的變化經歷瞭髮生、髮展、成熟併趨于飽和的過程。運用生物生長觀點，將Logistic函數模型用于單樁極限荷載的預測中，給齣瞭模型參數估計的粒子群優化（PSO）方法，併通過實例分析將PSO-Logistic模型與常用預測模型進行瞭對比。結果錶明：樁的荷載-沉降麯線可用Logistic函數描述，且PSO—Logistic模型的預測精度更高。
분석료장적하재전체규률，지출재장한정하재작용하，단장승재력적변화경력료발생、발전、성숙병추우포화적과정。운용생물생장관점，장Logistic함수모형용우단장겁한하재적예측중，급출료모형삼수고계적입자군우화（PSO）방법，병통과실례분석장PSO-Logistic모형여상용예측모형진행료대비。결과표명：장적하재-침강곡선가용Logistic함수묘술，차PSO—Logistic모형적예측정도경고。
After analyzing the load transfer law of pile, points out the bearing capacity of single pile has undergone the process of occurrence, development, maturity and saturation under the pile top static loading. Using the biological growth views, applies the Logistic function models to predict the ultimate load of single pile, and gives the particle swarm optimization （PSO） method for its parameter estimation. Through a case analysis, compares the PSO-Logistic prediction model with common used models. The results show that： the curve of pile load-settlement can be decrypting by Logistic function and it has high prediction accuracy.
