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浏览/检索结果: 共3条，第1-3条 帮助 限定条件 专题：北京航空航天大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Failure Assessment for the High-Strength Pipelines with Constant-Depth Circumferential Surface Cracks 期刊论文 ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2018, 卷号: 2018 作者:  Liu, X.;  Lu, Z. X.;  Chen, Y.;  Sui, Y. L.;  Dai, L. H. 收藏  |  浏览/下载：16/0  |  提交时间：2019/12/30 Cracks  Finite element method  High pressure pipelines  Integral equations  Method of moments  Petroleum transportation  Pipelines  Surface defects  Thin walled structures  Circumferential surface cracks  Engineering estimations  High-strength pipeline steel  Influence functions  Oil and gas transportation  Pipe wall thickness  Structural integrity assessment  Three dimensional finite elements  High strength steel   Research on RBF Neural Network Prediction of Oil and Gas Pipe Dent Depth 会议论文 IEEE/CSAA International Conference on Aircraft Utility Systems (AUS), Beijing, PEOPLES R CHINA, 2016-10-10 作者:  Jia Guanwei;  Cai Maolin;  Du Bingtong;  Li Rui;  Shi Yan 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 geometry inspection equipment  oil and gas pipelines  RBF neural network  dent depth predict   Research on RBF Neural Network Prediction of Oil and Gas Pipe Dent Depth 会议论文 2016 IEEE/CSAA INTERNATIONAL CONFERENCE ON AIRCRAFT UTILITY SYSTEMS (AUS), 2016-01-01 作者:  Jia Guanwei;  Cai Maolin;  Du Bingtong;  Li Rui;  Shi Yan 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/30 geometry inspection equipment  oil and gas pipelines  RBF neural network  dent depth predict