基于···模的···施工···真与···制研·

项目来源

国家···学基···SF··

项目主持人

任炳·

项目受资助机构

天津··

项目编号

51···18·

立项年度

2018

立项时间

未公开

研究期限

未知 / 未知

项目级别

国家·

受资助金额

61.00万元

学科

工程···科学-水利··-水工··

学科代码

E-E09-E0906

基金类别

面上··

关键词

动态···混合···高拱···合优···真模··

参与者

吴斌···金飞···;王···桂良···;王···宗显···明;

参与机构

中国···团成···设计···有限···

项目标书摘要:针对···施工···优化···的具···性、···决的···学问···统宏···析问···合建···真问···目标···决策···研究···于宏···尺度···坝施···系统···调机···合多···模型···微观···细描···个体···及系···学模···从宏···定量···统变···复杂···系的···构建···智能···统动···型的···施工···真混···策略···基于···模的···施工···态仿···数全···性分···;研···动态···高拱···工期···—强···的多···化及···决策···为大···过程···动态···供科···。本···破了···一离···仿真···法难···有效···拱坝···杂系···限性···了现···标优···及求···的不···决了···施工···细仿···化控···中存···用基···问题···重要···意义···价值·

Th···ey···ie···fi···ro···ms···ma···ng···om···so···io···hi···ex··· i···he···ns···ct··· p···es···f ···h ···h ··· a···sy···m ···ro···d ···ro···al···s,···ri···od···ng···d ···ul···on···lt···bj···iv···pt···za···n ··· d···si···ma···g.···st···th···om···x ···te···ec···os···on···or···at··· m···an··· b···d ···ma··· a···mi··· s···e ···hi···ar···da···on···uc···n ···pl···sy···m ···re···le···ec···ly···mb···ng···e ···an···es··· t···mu···-a···t ···el···ic···an···sc···e ··· i···vi···l ···av··· f··· t···mi···sc···c ···el···d ··· s···em···na···s ···el···ic···an···an···at···ly···al··· t···co···ex···us···re···io···ip···tw··· t···sy···m ···ia···s ···m ··· m···os···ic···ve···he···br···mo···in···tr···gy··· h··· a··· d···co···ru···on···oc··· s···la···n ···es···li···d.···rd···th···et··· o···yn···c ···ul···on···d ···ba···en···iv··· a···ys···of···gh···ch···m ···st···ti···pr···ss···se···n ···ri···od···ng··· p···os···Fi···ly···se···n ···am···si···at···,a···lt···bj···iv···pt···za···n ··· m···i-···ri···e ···is···-m···ng···th···fo···im···os···nt···it···qu···br··· i···ut···rw···,w···h ···vi··· s···nt···c ···is···r ···im···ti···an···yn···c ···tr···of···gh···ch···m ···st···ti···pr···ss···is···se···h ···l ···ak···ro··· t···li···at···s ···th···in··· m···li···me···d ···h ···cr··· e···t ···ul···on···ic···s ···d ···ef···ti···y ···ra···ri···th···ea···ig···rc···am···ns···ct··· s···em···d ···rc··· t···sh···co···g ···th···xi···ng···lt···bj···iv···pt···za···n ···el···d ···vi···al···it···It···ll···lv···he···pl···ti···of···si···ci···if···pr···em···n ··· s···y ···hi···ar···da···on···uc···n ···am···fi···si···at··· a···op···iz···on···nt···.T··· p···ec···as···po···nt···eo···ic···si···fi···ce··· w··· a···tr··· e···ne···ng···pl···ti···va···.

项目受资助省

天津·

  • 排序方式:
  • 3
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  • 1.考虑···障影···压混···施工···D-···耦合···仿真

    • 关键词:
    • 系统动力学;机械故障;SD-DES耦合;碾压混凝土坝;施工可视化仿真
    • 李政···平;···;王··
    • 2025年
    • 期刊

    【目···压混···(r···er···mp···ed···nc···e ···, ···D)···程仿···为分···施工···动态···供了···效的···段。···离散···真(···cr··· e···t ···ul···on···ES···在仿···中虽···了影···进度···因素···土生···输入···工降···,但···考虑···业中···械故···对施···的影···工进···结果···性以···可视···效果···一步···针对···况,···施工···基础···系统···(s···em···na···s,···)提···虑机···的R···施工···DE···可视···方法···法】···基于···力学···仓面···械故···模型···实现···施工···机作···障、···行为···关系···其次···统施···DE···模型···,耦···故障···型建···CD···D-···耦合···型,···压施···作为···型的···量,···现模···据通···互,···高了···果的···;再···系统···术与···技术···基于···ty···构建···..·

    ...
  • 2.基于···-S···XG···st···拱坝···测模···

    • 关键词:
    • 拱坝;应力预测;主成分分析;极限梯度提升;麻雀搜索
    • 崔博···伦;···;王··
    • 《水力··》
    • 2024年
    • 期刊

    由于···力受···温度···因素···用,···因子···互关···起多···性问···易导···为输···测模···伪回···。此···有基···学习···应力···型由···特征···过度···产生···现象···测精···待提···对上···,提···于主···析法···A)···搜索···SS···进的···度提···(P···SS···GB···t)···坝应···模型···型首···主成···法对···行降···低影···的多···性影···而通···A算···XG···st···数,···传统···拟合···步提···预测···将该···用于···南某···拱坝···对应···力相···数据···理、···预测···多元···归模···VL···、神···模型···FN···极限···升回···模型···BR···测结···对比···结果···基于···-S···XG···st···应力···型可···入变···重共···过拟···,在···度方···优越··

    ...
  • 3.Vi···n ···ho···as···on···ep···ar···g ··· d···ct··· c···re···vi···ti···qu···ty

    • 关键词:
    • Classification (of information);Concretes;Deep learning;Inspection;Learning systems;Computer vision technology;Concrete quality;Concrete vibration quality;Data augmentation;Quality inspection;Quality of concrete;Safe operation;Semi-supervised learning;Structural component;Technology-based
    • Re···Bi···u;···g,···od···;W···, ···g;···n,···o;···ng···ia···ng
    • 《Ca···St···es··· C···tr···io···at···al·》
    • 2023年
    • 18卷
    • 期刊

    Th···ib···io···ua···y ···co···et···s ···ci···to···su···th···on···er···af···pe···io···f ···cr··· s···ct···l ···po···ts···n ···en···ea··· c···ut···vi···n ···hn···gy···se···n ···p ···rn··· h···ac···ve···xc···en···es···s ···th···ie···of···nc···e ···li···in···ct···. ···ev··· w··· u··· f···as···ti···co···ru···on···sp···io···th···te···ol··· r···es···av··· o···ar···sc···, ···el··· h···-q···it···ma···da··· T···ol···th···dr···ac···th···st··· p···os···a ···io···as···me···d ···t ···eg···es···mi···pe···se···ea···ng···d ···a ···me···ti···fo···et···in···he···nc···e ···ra···n ···li··· I···ia···, ···le···2 ··· a···te···s ··· d··· a···en···io···tr···gy··· i···ov···he···ve···ty··· t···da···et···he···SE···sN···0,···mo··· t··· c···le···n ···en···n ···ha···m ···ul···nd···si···l ···wo··· w···em···ye···s ···la···fi···fo···cc···te···ex···ct··· i···rm···on···nt···ed··· i···es···ub···ue···y,··· o···r ···re···e ··· w···lo···of···ta···no···io···a ···el···mi···pe···se···ea···ng···th···(C···ix···ch···as···op···d ···tr··· t···mo··· b···ou···ng···xM···h ···h ···tr···in···Fi···ly···he···ai··· m···l ··· d···oy···on···bi···de···es··· a···st···si···co···ru···on···rk··· i···et···in···he···al··· o···on···te···br···on··· r···-w···d ···cr··· d···da···et···s ···lo··· t···er··· t···pr···se···et···. ···ed··· t···ex···im···al···su···, ··· p···os···me···d ···ro··· t···ac···ac···f ··· b···li···me···d ···3.··· o···ve···e.···di···na···, ··· p···os···me···d ···ie··· a···cc···cy··· 0···00···hi···is···ly···67···ow···th···th···of···pe···se···ea···ng···hi···on···re···ri···20···f ··· l···le···at···Th···fo··· t···pr···se···et··· h···gr··· a···ic···on···os···ts···d ··· f···he···ro···e ··· i···ll···nt···ve···me···of···nc···e ···ra···n ···pe···on··· 2···

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  • 4.空天···化感···混凝···质量···控

    • 关键词:
    • 混凝土振捣 空天地一体化感知 智能监控 Kalman滤波算法 改进Faster R-CNN DeblurG AN-v2模型 基金资助:国家自然科学基金青年科学基金项目(51909187); 中国大坝工程学会青年人才托举工程(CHINCOLD-QNRC006); 国家自然科学基金面上项目(51879186); DOI:10.14062/j.issn.0454-5648.20220881 专辑:工程科技Ⅰ辑 工程科技Ⅱ辑 信息科技 专题:水利水电工程 自动化技术 分类号:TP277TV544 手机阅读
    • 王栋···;杨···晓玲···峰;···
    • 期刊

    综合···凝土···工过···异构···进而···客观···振捣···对于···拱坝···凝土···量至···。针···坝混···捣施···以“···”感···为主···信息···全和···量有···的问···立空···体化···土振···信息···知体···现混···筑过···源、···、多···工信···体感···此基···针对···、视···及图···息,···出基···lm···波的···航卫···(G···)定···降噪···基于···as··· R···N的···息解···和基···bl···GA···2的···像去···法。···沟水···例,···提空···体化···法与···实现···振捣···能分···控。

    ...
  • 5.基于···ts···p-···O-···的帷···量区···模型

    • 《水力···报》
    • 2022年
    • 期刊

    由于···浆注···测过···在地···、预···和输···的不···,传···预测···在误···难以···定性···化。···述问···研究···于B···st···方法···灰狼···支持···(B···st···-I···-S···的帷···量区···模型···了预···的不···。首···Bo···tr···法对···练集···成样···集;···通过···化算···罚因···RB···数方···损失···进行···优,···VM···预测···再者···非线···因子···权重···概率···谱和···y飞···狼算···改进···灰狼···部搜···局搜···衡问···后,···的数···别使···WO···M算···机森···分别···到系···和随···,并···累加···体误···而通···正态···型得···量区···结果···了预···不确···量化···表明···的I···-S···预测···RM···85···, ··· =···3,···E=···64···GW···VM···RM···96···, ··· =···0,···E=···45···提升···Ba···Pr···ga···n ···ra···et···k ···NN···极限···(E···存在···度优···置信···9%···区间···(P···)、···间宽···PI···和宽···指标···C)···为9···1%···3.···kg···36···9 ···m。

    ...
  • 6.基于···AB···高拱···混合···模研·

    • 《水力···报》
    • 2022年
    • 期刊

    针对···高拱···仿真···离散···真(···cr··· E···t ···ul···on···S)···模方···以从···面精···述大···复杂···的个···,同···模型···关键···素的···用关···定量···问题···基于···AB···高拱···混合···模方···先采···多智···仿真···方法···en···as···Mo···in···nd···mu···io···BM···依据···施工···抽象···楼、···车、···施工···种A···t和···混凝···过程···Ag···的行···它们···相互···行建···时,···施工···各种···素,···统动···法(···te···yn···cs···)进···,定···疲劳···度等···响因···工效···响;···以工···、缆···时间···口变···立基···-A···的高···工混···模型···应用···与传···S模···单一···S模···,仿···与工···偏差···平均···4.···和3···,为···施工···细化···析提···的思··

    ...
  • 7.基于···-E···的拱···仿真···因素···测

    • 《水力···报》
    • 2022年
    • 期刊

    施工···数对···工进···结果···性具···影响···施工···数分···用单···模方···分采···分析···立点···型,···分析···素影···工仿···的不···。针···问题···究提···宽度···统-···分位···(b···d ···rn··· s···em···as··· n···or···ua···le···gr···io···BL···NQ···施工···数概···方法···学习···需要···络结···有高···线性···力,···服传···数回···仅能···性关···足;···采用···正则···来减···系数···模型···,从···模型···。工···表明···究提···法可···分析···仿真···概率···且相···持向···弹性···数回···限学···弹性···数回···度学···-分···归模···方法···好的···能,···施工···数预···了一···路。

    ...
  • 8.基于···模的···施工···真与···制研···报告

    • 任炳昱;
    • 《天津大学;》
    • 2022年
    • 报告

    高拱···过程···的系···,受···织、···件、···源等···影响···坝体···度动···与优···关键···题。···综合···析、···模、···能、···等先···手段···开展···混合···高拱···动态···优化···论及···究,···高拱···动态···真与···制研···在的···础科···,为···拱坝···好又···提供···依据···支撑···目研···了基···观多···高拱···复杂···解协···,提···于机···的高···工机···参数···析方···立了···施工···数智···更新···构建···多智···系统···的高···工仿···建模···研发···SL···化的···施工···动增···可视···技术···本项···了中···术骨···,硕···究生···发表···学术···6篇···专利···获省···技进···奖1···项目···的理···在我···江乌···雅砻···沟等···拱坝···成功···为我···坝工···准建···了重···依据···坝工···智能···发挥···作用·

    ...
  • 9.拱坝···真参···素概···方法

    • 关键词:
    • 拱坝;施工仿真参数;概率预测;宽度学习系统;分位数回归
    • 宋文···涛;···;王··
    • 《水力···报》
    • 2022年
    • 9期
    • 期刊

    施工···数对···工进···结果···性具···影响···施工···数分···用单···模方···分采···分析···立点···型,···分析···素影···工仿···的不···。针···问题···究提···宽度···

    ...
  • 10.基于···实的···同决···化研·

    • 关键词:
    • 灌浆;协同决策;增强现实;云端通信;沉浸式可视化
    • 盖世···佳;···任炳···晓玲···明
    • 《水力···报》
    • 2022年
    • 01期
    • 期刊

    灌浆···有隐···专业···点,···灌浆···需要···商等···行灌···决策···当前···用二···或三···场景···同分···乏物···距离···空间···存在···交互···决策···享不···问题···上述···本文···于增···的灌···决策···方法···灌浆···息模···视觉···程计···基础···虚拟···真实···融合···式交···;采···云端···状态···、锚···法和···or···强图···技术···灌浆···策信···维沉···视化···工程···析结···,本···的方···实现···策信···浸式···询与···协同···为灌···控制···新思··

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