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A novel physics-informed framework for reconstruction of structural defects

Applied Mathematics and Mechanics(English Edition) 2022年第11期43卷 1717-1730页

作者： Qi LI fushun liu Bin WANG DZliu Zhenghua QIAN State Key Laboratory of Mechanics and Control of Mechanical Structures College of Aerospace EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China College of Engineering Ocean University of ChinaQingdao 266100Shandong ProvinceChina School of Engineering University of East AngliaNorwich NR47TJU.K.

The ultrasonic guided wave technology plays a significant role in the field of non-destructive testing as it employs acoustic waves with the advantages of high propagation efficiency and low energy consumption during the inspect process.However,the theoretical solutions to guided wave scattering problems with assumptions such as the Born approximation have led to the poor quality of the reconstructed results.Besides,the scattering signals collected from industry sectors are often noised and nonstationary.To address these issues,a novel physics-informed framework(PIF)for the quantitative reconstruction of defects by means of the integration of the data-driven method with the guided wave scattering analysis is proposed in this paper.Based on the geometrical information of defects and initial results obtained by the PIF-based analysis of defect reconstructions,a deep-learning neural network model is built to reveal the physical relationship between the defects and the noisy detection signals.This learning model is then adopted to assess and characterize the defect profiles in structures,improve the accuracy of the analytical model,and eliminate the impact of the noise pollution in the process of inspection.To demonstrate the advantages of the developed PIF for the complex defect reconstructions with the capability of denoising,several numerical examples are carried out.The results show that the PIF has greater accuracy for the reconstruction of defects in the structures than the analytical method,and provides a valuable insight into the development of artificial intelligence(AI)-assisted inspection systems with high accuracy and efficiency in the fields of structural integrity and condition monitoring.

关键词： physics-informed deep-learning reconstruction of defects denoising

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Demands and challenges for construction of marine infrastructures in China

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Frontiers of Structural and Civil Engineering 2022年第5期16卷 551-563页

作者： Huajun LI Yong liu Bingchen LIANG fushun liu Guoxiang WU Junfeng DU Huimin HOU Aijun LI Luming SHI College of Engineering Ocean University of ChinaQingdao 266100China Shandong Province Key Laboratory of Ocean Engineering Ocean University of ChinaQingdao 266100China

The oceans are crucial to human civilization.They provide core support for exploitation and utilization of marine space,resources,and energy.Thus,marine infrastructures are vital to a nation’s economic sustainable development.To this end,this article first describes the main challenges in current ocean utilization,and then reviews the China’s ocean engineering progress.As such,six major sectors are evaluated:1)global climate change and marine environment,2)comprehensive utilization of marine space,3)marine transportation infrastructure interconnection,4)ocean clean energy development and maricultural facilities,5)ecological crisis and marine engineering countermeasures,and 6)marine infrastructure operation safety and maintenance.Finally,perspectives on future directions of ocean utilization and marine infrastructure construction in China are provided.

关键词： marine infrastructures ocean engineering exploitation of marine resource coastal development emerging marine industries technological challenges

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基于碳汇测评与动因的海洋碳汇交易市场扩增路径研究

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上海节能 2024年第3期 412-418页

作者：方富顺刘晓静绍兴文理学院商学院

鉴于目前我国实行“双碳”目标的迫切需求,发展海洋碳汇交易市场已成为实现“双碳”的重要途径之一。从交易市场扩增路径的角度出发对海洋碳汇交易进行初步探索,主要从以下几方面进行说明:产业市场的具体化要根据海洋资源的碳汇能力和... 详细信息

鉴于目前我国实行“双碳”目标的迫切需求,发展海洋碳汇交易市场已成为实现“双碳”的重要途径之一。从交易市场扩增路径的角度出发对海洋碳汇交易进行初步探索,主要从以下几方面进行说明:产业市场的具体化要根据海洋资源的碳汇能力和经济价值换算进行不同的区分,要注意不同形式下的判断,以浙江省为例进行相关碳汇价值估算;对以清洁发展机制为基础的交易市场进行扩增,包括明确海洋碳汇交易市场的原则与模式、交易对象范围;从当前推动海洋碳汇交易影响因素出发提出相关激励措施。

关键词：海洋碳汇扩增途径碳汇移出量清洁发展机制

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基于实测波浪的单桩式海上风电基础波浪力计算研究

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海洋工程 2024年第1期42卷 37-48页

作者：朱民涛宋虹周胡和法利刘福顺常爽中国海洋大学工程学院山东青岛266100 浙江省深远海风电技术研究重点实验室浙江杭州310014 中电建华东勘测设计研究院有限公司浙江杭州311122 中国绿发江苏广恒新能源有限公司江苏南京210000

基于实测波面的波浪力获取作为结构动力响应分析以及数字孪生模型建立的必备环节,对海上风电数字化运维至关重要。为了满足更大的装机容量需求,单桩式海上风电基础趋于大型化,其尺度因子D/L也随之增大;并且实际海域均为非规则波,以尺度... 详细信息

基于实测波面的波浪力获取作为结构动力响应分析以及数字孪生模型建立的必备环节,对海上风电数字化运维至关重要。为了满足更大的装机容量需求,单桩式海上风电基础趋于大型化,其尺度因子D/L也随之增大;并且实际海域均为非规则波,以尺度因子划分波浪力计算理论的方法对非规则波的适用性尚不明确。通过建立数值水槽,依据实际工况对不规则波与桩基的作用进行数值模拟,得到入射波浪场与桩基所受波浪力,在此基础上,基于入射波浪场分别采用Morison方程以及绕射理论求解波浪力并将之与数值模拟结果进行对比,分析了不同波浪力计算理论关于尺度因子的适用性,同时探究了波浪要素对计算精度的影响。结果表明:Morison方程在波高较大时精度下降;相对于Morison方程,绕射理论在该尺度下的精度更高。最后,通过分析实测数据进一步探讨了典型工况下的波浪力特征,以期通过实测波面计算波浪力的方法为实际服役风机波浪力计算提供技术支持。

关键词：单桩基础实测波浪 Morison方程绕射理论尺度因子 OpenFOAM

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Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 18-36页

作者： Ding Wang Ning Gao Derong liu Jinna Li Frank L.Lewis IEEE the Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent SystemBeijing Laboratory of Smart Environmental Protectionand Beijing Institute of Artificial IntelligenceBeijing University of TechnologyBeijing 100124China the School of System Design and Intelligent Manufacturing Southern University of Science and TechnologyShenzhen 518055China the Department of Electrical and Computer Engineering University of Illinois at ChicagoChicago IL 60607 USA the School of Information and Control Engineering Liaoning Petrochemical UniversityFushun 113001China the UTA Research Institute the University of Texas at ArlingtonArlington TX 76118 USA

Reinforcement learning(RL) has roots in dynamic programming and it is called adaptive/approximate dynamic programming(ADP) within the control community. This paper reviews recent developments in ADP along with RL and its applications to various advanced control fields. First, the background of the development of ADP is described, emphasizing the significance of regulation and tracking control problems. Some effective offline and online algorithms for ADP/adaptive critic control are displayed, where the main results towards discrete-time systems and continuous-time systems are surveyed, respectively.Then, the research progress on adaptive critic control based on the event-triggered framework and under uncertain environment is discussed, respectively, where event-based design, robust stabilization, and game design are reviewed. Moreover, the extensions of ADP for addressing control problems under complex environment attract enormous attention. The ADP architecture is revisited under the perspective of data-driven and RL frameworks,showing how they promote ADP formulation significantly.Finally, several typical control applications with respect to RL and ADP are summarized, particularly in the fields of wastewater treatment processes and power systems, followed by some general prospects for future research. Overall, the comprehensive survey on ADP and RL for advanced control applications has d emonstrated its remarkable potential within the artificial intelligence era. In addition, it also plays a vital role in promoting environmental protection and industrial intelligence.

关键词： Adaptive dynamic programming(ADP) advanced control complex environment data-driven control event-triggered design intelligent control neural networks nonlinear systems optimal control reinforcement learning(RL)

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Housing vacancy identification in shrinking cities based on multi-source data:A case study of fushun city in Northeast China

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Journal of Geographical Sciences 2024年第1期34卷 89-111页

作者： SUN Hongri ZHOU Guolei liu Yanjun FU Hui JIN Yu School of Geographical Sciences Northeast Normal UniversityChangchun 130024China Northeast Institute of Geography and Agroecology CASChangchun 130102China

Urban shrinkage has attracted the attention of many geographers and urban planners in recent years.However,there are fewer studies on vacant housing in shrinking cities.Therefore,this study combines multi-source remote sensing images and urban building data to assess the spatiotemporal variation patterns of housing vacancy in a typical shrinking city in China.The following points were obtained:(1)We developed an evaluation model to identify vacant residential buildings in shrinking cities by removing the contribution of nighttime lights from roads and non-residential buildings;(2)The residential building vacancy rate in fushun city significantly increased from 2013 to 2020,resulting in a significant high-value clustering effect.The impact of urban shrinkage on vacant residential buildings was higher than that on vacant non-residential buildings;(3)The World Pop population data demonstrated consistent spatial distribution and trend of population change in fushun with the residential building vacancy rate results,suggesting good reliability of the constructed evaluation model in this study.Identifying housing vacancies can help the local government to raise awareness of the housing vacancy problem in shrinking cities and to propose reasonable renewal strategies.

关键词： housing vacancy residential building vacancy urban shrinkage VIIRS

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传统图像分割算法在农作物籽粒考种应用中的研究进展

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中国农机化学报 2024年第2期45卷 280-287页

作者：张伟进王福顺孙小华王军皓刘宏权王鑫鑫河北农业大学信息科学与技术学院河北保定071001 河北省农业大数据重点实验室河北保定071000 河北软件职业技术学院数字传媒系河北保定071000 河北农业大学城乡建设学院河北保定071001 河北省山区农业技术创新中心河北保定071001 国家北方山区农业工程技术研究中心河北保定071001

传统图像分割算法以时间、空间复杂度低等优点在农作物籽粒考种领域中有着广泛的应用。对传统分割算法在农作物表型获取过程中的应用进行研究,首先阐述Otsu、分水岭、边缘检测、SLIC算法以及凹点分析算法的算法原理,对种皮颜色灰度均匀... 详细信息

传统图像分割算法以时间、空间复杂度低等优点在农作物籽粒考种领域中有着广泛的应用。对传统分割算法在农作物表型获取过程中的应用进行研究,首先阐述Otsu、分水岭、边缘检测、SLIC算法以及凹点分析算法的算法原理,对种皮颜色灰度均匀、形状不同的农作物籽粒,以“问题—方法”的模式阐述不同算法在应用中存在的问题以及相应的解决方法;接着将算法基于阈值、区域、边缘、聚类、凹点整合为五大类,对算法的分割效果、优缺点及其适用范围进行比较研究;最后,剖析农作物籽粒图像分割应用研究存在农作物种类覆盖度不够宽泛、图像分割精度不高、技术通用性不高等问题,并从算法精度提高、重叠遮挡处理等方面对未来的研究进行展望,以期为农作物籽粒考种过程中的图像分割研究提供参考。

关键词：考种籽粒表型信息获取图像处理图像分割

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从“玄府-隐窝”视域辨治溃疡性结肠炎肠屏障受损

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中国中医药信息杂志 2024年第6期31卷 167-170页

作者：程媛寇富舜李军祥陶伟伟刘丽娜南京中医药大学中医学院·中西医结合学院江苏南京210023 上海同济大学第十人民医院上海200072 北京中医药大学东方医院北京100078

“玄府”作为中医藏象理论的微观结构遍布于人体各部,急性溃疡性结肠炎微观病变表现为结肠隐窝脓肿甚至结构紊乱。其湿热蕴结大肠,肠道因实而闭的发病特点与“玄府”贵开忌阖、贵通忌闭的理念契合。肠道隐窝机械屏障与黏液屏障功能与“... 详细信息

“玄府”作为中医藏象理论的微观结构遍布于人体各部,急性溃疡性结肠炎微观病变表现为结肠隐窝脓肿甚至结构紊乱。其湿热蕴结大肠,肠道因实而闭的发病特点与“玄府”贵开忌阖、贵通忌闭的理念契合。肠道隐窝机械屏障与黏液屏障功能与“玄府”推陈出新、气液宣通的特点有共通之处,可为肠“玄府”理论提供形态学依据。清开玄府法能够抑制湿热郁腐之物蕴结、肠道郁闭不通导致的肠“玄府闭阖”状态,推动“玄府-隐窝”学说在治疗溃疡性结肠炎早期隐窝病变的指导作用和理论支撑。

关键词：溃疡性结肠炎肠屏障玄府隐窝清开玄府法

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Stress corrosion cracking behavior of buried oil and gas pipeline steel under the coexistence of magnetic field and sulfate-reducing bacteria

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Petroleum Science 2024年第2期21卷 1320-1332页

作者： Jian-Yu He Fei Xie Dan Wang Guang-Xin liu Ming Wu Yue Qin College of Petroleum Engineering Liaoning Petrochemical UniversityFushun113001LiaoningChina Key Laboratory of Oil and Gas Storage and Transportation Technology in Liaoning Province Fushun113001LiaoningChina State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China PipeChina West East Gas Pipeline Company Shanghai200120China

Magnetic field and microorganisms are important factors influencing the stress corrosion cracking(SCC)of buried oil and gas pipelines. Once SCC occurs in buried pipelines, it will cause serious hazards to the soil environment. The SCC behavior of X80 pipeline steel under the magnetic field and sulfate-reducing bacteria(SRB) environment was investigated by immersion tests, electrochemical tests, and slow strain rate tensile(SSRT) tests. The results showed that the corrosion and SCC sensitivity of X80 steel decreased with increasing the magnetic field strength in the sterile environment. The SCC sensitivity was higher in the biotic environment inoculated with SRB, but it also decreased with increasing magnetic field strength, which was due to the magnetic field reduces microbial activity and promotes the formation of dense film layer. This work provided theoretical guidance on the prevention of SCC in pipeline steel under magnetic field and SRB coexistence.

关键词： Magnetic field Sulfate-reducing bacteria Film layer Stress corrosion cracking Oil and gas pipelines

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GhAP1-D3 positively regulates flowering time and early maturity with no yield and fiber quality penalties in upland cotton

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Journal of Integrative Plant Biology 2023年第4期65卷 985-1002页

作者： Caixiang Wang Juanjuan liu Xiaoyu Xie Ji Wang Qi Ma Pengyun Chen Delong Yang Xiongfeng Ma fushun Hao Junji Su State Key Laboratory of Aridland Crop Science College of Life Science and TechnologyGansu Agricultural UniversityLanzhou 730070China State Key Laboratory of Cotton Biology College of Life ScienceHenan UniversityKaifeng 475004China Cotton Research Institute Xinjiang Academy of Agricultural and Reclamation ScienceShihezi 832000China State Key Laboratory of Cotton Biology Institute of Cotton Research of Chinese Academy of Agricultural SciencesAnyang 455000China

Flowering time(FTi)is a major factor determining how quickly cotton plants reach maturity.Early maturity greatly affects lint yield and fiber quality and is crucial for mechanical harvesting of cotton in northwestern China.Yet,few quantitative trait loci(QTLs)or genes regulating early maturity have been reported in cotton,and the underlying regulatory mechanisms are largely unknown.In this study,we characterized 152,68,and 101 loci that were significantly associated with the three key early maturity traits—FTi,flower and boll period(FBP)and whole growth period(WGP),respectively,via four genome-wide association study methods in upland cotton(Gossypium hirsutum).We focused on one major early maturity-related genomic region containing three single nucleotide polymorphisms on chromosome D03,and determined that GhAP1-D3,a gene homologous to Arabidopsis thaliana APETALA1(AP1),is the causal locus in this region.Transgenic plants overexpressing GhAP1-D3 showed significantly early flowering and early maturity without penalties for yield and fiber quality compared to wild-type(WT)plants.By contrast,the mutant lines of GhAP1-D3 generated by genome editing displayed markedly later flowering than the WT.GhAP1-D3 interacted with GhSOC1(SUPPRESSOR OF OVEREXPRESSION OF CONSTANS 1),a pivotal regulator of FTi,both in vitro and in vivo.Changes in GhAP1-D3 transcript levels clearly affected the expression of multiple key flowering regulatory genes.Additionally,DNA hypomethylation and high levels of H3K9ac affected strong expression of GhAP1-D3 in early-maturing cotton cultivars.We propose that epigenetic modifications modulate GhAP1-D3 expression to positively regulate FTi in cotton through interaction of the encoded GhAP1 with GhSOC1 and affecting the transcription of multiple flowering-related genes.These findings may also lay a foundation for breeding early-maturing cotton varieties in the future.

关键词： upland cotton early maturity genome‐wide association studies QTL AP1 flowering time

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