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ID:32466262
大小:4.10 MB
页数:108页
时间:2019-02-06
《用神经网络模拟混凝土的破坏准则》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、摘要拳
2、料的徽观细观结擒决宠材料的缴戏性虢。要从材料的微观缨潞缭构层次怎分析糖瓣懿鬣分、维梅毒宏鬟畿辘豹关系,醛缓导箍—含戆蒉雾苓瓣结祷蒺捩熬逶怒携灌蠹。实际t材科内部结构豹澎成发展及破林建程,就是髓爨转化静过稚。黥量就蕊这榉一令能够贯穿不同层次的通用物理基。瀑凝未鞭袈蕤是赣究灌凝主霰筇、辩裂韵~巾蹙簧豢标。论交黄燕奔绥7游凝±戆畿爱蕤,论述了影豌灌凝±蘩袋蕤豹冬今嚣豢,鑫及嚣垂涎凝±瓣襞麓翡冬释方法。建立了糖经瘸络搂墼,糖够麓麓度瓣预测漫凝土戆精裂能。断裂面是材料断裂尉留下的真实记录和霆要信患,对追溯断裂行为以及探索断裂枫蓬÷分有意义。混凝主凝裂嚣在一定藏疆蠹是鸯
3、很好的壹梗锹黪缎。论文用分彤几何豹蘧谂氍方法撵尊其势澎特摄戆溺试帮译徐,r为豢索漫凝±甄裂瑟静澎特征专蘩装簿藩之间的内_在规律以及为髓艏建立相关的数学模溅提供了蓬要的依据。混凝土的强度来源予兰个努蘑;浓泥砂浆鏊体涟液;程鹭辩瓣颓敉强度(群夤耨羝攘辨宠豹毙力);戳及窳淀砂浆与粗髂料的鞑结力。本文应用麓像处理技术,对断裂聪避移了_兰次处理,得到了霄焉鼹结论,并送行了探索链鹃骚究。凳滋翳静磺究歼肄了瀵路。随后,论文讨论了研究滟凝土破辫:的几种观点,并采用虢囊的观点研究漓凝土的破环。本论文从文献中搜煞了大量的混凝土破坏数据,应用神缀网络进行训练模j棼【,根据豢蠢、耗戆原理建
4、立了滋凝纛静疆坏接粼。并羹意这个薪静淫凝主破坏准裂器蕊窀鼹逡磐了篦骏。关键溺:瀑凝童;蔽缮灌掰;精餮裴;鼗装瑟鲞穆;精经鼹终;静茨辩建疆冀浚;搂髹;破坏准翔:MATLAB:AbstractThepropertyofmaterialisdeterminedbyit’smicroscopicstructure.Andacertainphy+sicalquantitythatcanpenetratefrommicrocosmtomacrocosmshouldbefoundtoanalysistherelationofmaterialpropertyanditsconsti
5、tuentsandstructurefrommicroscopicview.Energyistherightphysicalquantitythatcanbeusedinbothmicroscopicandmacroscopicview,forthereasonthattheprocessofstructure’sformation,developmentandfailureisexactlyaprocessofenergytransformation。Concretefractureenergyisaphysicalquantitythatisveryuseful
6、inthestudyofconcretefailureandfracture.ThisdissertationfirstlyintrcIducestheconceptofconcretefractureenergy,andConcretefractureenergyisforecastedwiththemodelbasedonBP(Back-propagation)network,whichiswidelyusedinNeuralNetwork.Forecastedvaluesarecomparedwithexperimentdataandthevaluescalc
7、ulatedbyempiricalformulae.TheresearchindicatesthatNeuralNetworkhasahighaccuracybecauseitisabletorealizenonlinearrelationsandbecausemorefactorsthatinfluencefractureenergyaretakenintoaccount.TheNeuralNetworkforecastmodelhasawideapplyingperspectiveintheforecastofconcretefractureenergy.Sin
8、cefracturesurfaceisthetruerecordandinformationthatremainfromfractureofmaterial,ithasimportantvalueinthefractureretroactivityandintheexplorationoffractureprinciple.Concretefracturesurfacehasthecharacteristicoffractalgeometry.Thefracturesurfacewasprocessedbeforedigitalimageistaken.Thed
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