农业工程学报
農業工程學報
농업공정학보
2013年
1期
86-92
,共7页
朱振泱%强晟%郑占强%陈炜旻
硃振泱%彊晟%鄭佔彊%陳煒旻
주진앙%강성%정점강%진위민
混凝土%遗传算法%温度%绝热温升%非绝热温升试验%反分析
混凝土%遺傳算法%溫度%絕熱溫升%非絕熱溫升試驗%反分析
혼응토%유전산법%온도%절열온승%비절열온승시험%반분석
concretes%genetic algorithms%temperature%adiabatic temperature rise%non-adiabatic temperature rise experiment%inversion
目前,考虑温度历程绝热温升模型存在参数较难确定和尚未有现场非绝热温升试验验证其精度2个问题.为了解决这2个问题,该文提供了一种合适的遗传算法实现方法,设计了2个温度历程不同的混凝土非绝热温升试验,并将一个混凝土块的试验数据及该方法反演获得的参数应用到模拟另一个混凝土块温度场中.试验结果表明,即使温度历程差异较大,遗传算法也能获取准确的参数.应用遗传算法解决考虑温度历程混凝土水化放热模型具有可行性;且较未考虑温度历程模型,考虑温度历程的混凝土水化放热模型精度有明显提高.未考虑温度历程模型的平均误差为1.1℃而考虑温度历程模型平均误差仅为0.4℃.
目前,攷慮溫度歷程絕熱溫升模型存在參數較難確定和尚未有現場非絕熱溫升試驗驗證其精度2箇問題.為瞭解決這2箇問題,該文提供瞭一種閤適的遺傳算法實現方法,設計瞭2箇溫度歷程不同的混凝土非絕熱溫升試驗,併將一箇混凝土塊的試驗數據及該方法反縯穫得的參數應用到模擬另一箇混凝土塊溫度場中.試驗結果錶明,即使溫度歷程差異較大,遺傳算法也能穫取準確的參數.應用遺傳算法解決攷慮溫度歷程混凝土水化放熱模型具有可行性;且較未攷慮溫度歷程模型,攷慮溫度歷程的混凝土水化放熱模型精度有明顯提高.未攷慮溫度歷程模型的平均誤差為1.1℃而攷慮溫度歷程模型平均誤差僅為0.4℃.
목전,고필온도역정절열온승모형존재삼수교난학정화상미유현장비절열온승시험험증기정도2개문제.위료해결저2개문제,해문제공료일충합괄적유전산법실현방법,설계료2개온도역정불동적혼응토비절열온승시험,병장일개혼응토괴적시험수거급해방법반연획득적삼수응용도모의령일개혼응토괴온도장중.시험결과표명,즉사온도역정차이교대,유전산법야능획취준학적삼수.응용유전산법해결고필온도역정혼응토수화방열모형구유가행성;차교미고필온도역정모형,고필온도역정적혼응토수화방열모형정도유명현제고.미고필온도역정모형적평균오차위1.1℃이고필온도역정모형평균오차부위0.4℃.
Although there are some studies on parameters inversion for hydration exothermic model without considering concrete temperature duration, there is few study on parameters inversion for hydration exothermic model considering concrete temperature duration. The adiabatic exothermic model considering temperature duration has better precision than those without consideration, but it will need more parameters in the model and make inversion harder when using finite element back analytical algorithm to determinate parameters, because back analysis of finite element method is easy to premature and difficult to solve the model with too many parameters. When using genetic algorithm to inverse parameters, the result of the parameter inversion is greatly depended on the way to complete genetic algorithm. A proper genetic algorithm method (the one with proper encode operation, proper construction of fitness function and proper crossover operation) is presented in this paper to solve this problem, and two non-adiabatic temperature rise experiments with quite different temperature duration are designed. Based on the measured data of one test block, the parameters of adiabatic temperature rise models were inversed by proposed genetic algorithm method, and then those parameters were verified with the data of another test block. The results show that the parameter inversed by one block can be well used in the other block even when temperature duration is quite different. That means it is feasible to use the proposed method for back inversion of parameters of adiabatic temperature rise models considering temperature duration. In this paper it is shown that adiabatic temperature rise is highly depended on the concrete temperature duration, the hydration exothermic will be different with the changing of temperature duration. So when without considering temperature duration, hydration model can not be expressed by one expression. By comparing the results of the parameter inversion for hydration exothermic models with and without considering concrete temperature duration, it is showed that the adiabatic exothermic model considering temperature has better precision than the one without consideration.