基于···模的···施工···真与···制研·
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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
- 卷
- 期
- 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
- 卷
- 期
- 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
- 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···
...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;···
- 0年
- 卷
- 期
- 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
- 卷
- 期
- 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
- 卷
- 期
- 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
- 卷
- 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···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.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
- 卷
- 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···
...9.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
- 卷
- 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··
...10.Vi···n-···ed···od···iv··· A···ys···of···bl···ra···Tr···po···ti···Us··· A···en··· R···it···as···Sy···et···Im···
- 关键词:
- Cable crane transportation; Productivity analysis; Computer vision;Augmented reality (AR); Faster region-based convolutional neural network(Faster R-CNN); Object detection;DAM CONSTRUCTION; SYSTEM; RECOGNITION; TECHNOLOGY; INSPECTION; NETWORKS
- Wa··· D···;W···, ···ol···;R··· B···yu···ng···ia···;Z···, ···ch···;K···, ···g;···g,···oh··
- 《JO···AL··· C···UT··· I···IV···EN···EE···G》
- 2022年
- 36卷
- 1期
- 期刊
Th···ro···ti···y ···ly··· o···ab···cr··· t···sp···at··· i···he···ns···ct··· f···d ···of···ea···ig···ic···e ···im···ve···an···qu···en···an···me···an···ed··· o···at··· c···s.···we···, ··· t···it···al···nu···re···di···me···d ···an···zi···ca··· c···e ···du···vi···is···me···ns···ng···d ···io··· T···ex···in···is···-b···d ···ho···eq···es···gn···ca···am···ts··· t··· t···ol···t ···en···e ···ge···t ···st···ti···si··· a···do···no···ch···e ···h-···ci···n ···ec···n ···co···ex···en··· T···, ···au···at···vi···n-···ed···th···fo···ro···ti···y ···ly··· o···ab···cr··· t···sp···at··· i···ro···ed···in··· n···sy···et···im··· a···oa···ba··· o···n ···me···d ···li···(A···te···iq··· T···un···ne···er··· v···cl···as···th···-d···ns···al···D)···co···ru···on··· a···an···uc··· m···l ···su···im···ed··· a···al···ic···en···si···AR··· s···he···e ··· i···es···r ···io···as···mo··· t···ni···wi···ut···nu···im··· a···is···on··· a···ns···ct··· s···. ··· f···ur···yr···d ···wo···an···tt···io···od··· a···in···ra··· i··· F···er···gi···ba··· c···ol···on···ne···l ···wo···(F···er···CN···to···ha··· t···ca···il··· o···ea···e ···ra···on···r ··· h···-p···is··· d···ct··· o··· c···e ···ke···nd···s ···nu···r,···ic···ro···es···e ···ic···ba··· f···ca···la···g ···du···vi··· T···pr···se···is···-b···d ···du···vi···an···si···et··· i···va···te···n ···ge···al···yd···li···ng···er···. ··· r···lt···em···tr··· t··· t···me···av···ge···ec···on···AP···f ···ec···n ···fo···nc···s ···01···si···th···od···tr···ed··· A···as···sy···et···im···s,···ic···on···ms···e ···po··· A···as···sy···et···im··· m···od···ul···ro···e ···ew···ag···en···ti···mo···fo···he···ns···ct··· i···st··· A···ti···ll···th···ia···f ···du···vi···be···en···e ···po··· m···od···d ···un···ru···is···03···wh··· c···ir···th···ff···iv···ss···d ···ur··· o···he···op···d ···ho··
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