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New Perspectives of Seismic Safety Evaluation in Urban Planning：The Discovery of “Macroseism GeneratingFault” and Its Inspirations

Li Ping,Yang Mei´e,Zhao Dongzhi

Strategic Study of CAE 2007, Volume 9, Issue 7,   Pages 1-6

Abstract: fraction of the active faults in a time scale as long as tens or hundreds of years, so we call them the macroseismgenerating fault.The macroseism generating fault is not merely a line but has a certain width from several meters to tensThe discovery of macroseism generating fault enables us to deal with the three factors, i.e. the timegenerating fault exists and its influences.

Keywords： urban planning     active fault     macroseism generating fault     seismic amplifying effect of macroseism generatingfault    

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The dawn of successful prediction of major earthquakes

Li Ping and Yang Mei’e

Strategic Study of CAE 2009, Volume 11, Issue 6,   Pages 19-27

Abstract: Since 1949, Chinese scientists have successfully predicted occurrence of many major earthquakes, such as the Haicheng M 7.3 event in 1975 and the Asian Game Village shock of 1990. In recent 20 years, however, some seismologists abroad have taken a disappointed and pessimistic view to earthquake prediction because of several failures. They suggest that the efforts should turn toward other fields, such as identification of building’s earthquake-proof capability, enhancement of house strength, and development of precise observational systems which will facilitate fast locating of future major temblors and emergent relief on site. Such a pessimistic feeling has also influence some Chinese researchers of the seismological community who attempted to give up efforts for earthquake prediction. Meanwhile other scientific workers are insisting in experiments and practices in this field and achieved some inspiring results. In this paper, we present several representative cases to illustrate that earthquakes are predictable under some conditions.

Keywords： Wenchuan Earthquake     strong earthquake prediction     microseism generating fault    

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Deep-seated Rupture Zone—a New Seismotectonic Style

Li Yuanjun

Strategic Study of CAE 2006, Volume 8, Issue 4,   Pages 12-18

Abstract: geological structure phenomenon. deep-seated rupture zones are usually situated in the pleistoseismic generating

Keywords： deep-seated rupture zone     pleistoseismic generating fault     unloading     rock dynamics    

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Antioxidative potential of metformin: Possible protective mechanism against generating OH radicals

Huibin Guo, Ning Wang, Xiang Li

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 2, doi: 10.1007/s11783-020-1313-2

Abstract: Abstract • Metformin consumes O2−• and OH• induced by PM are proposed. • OH• dominated the oxidation of metformin compared with O2−• • Metformin can prevent the harm of ROS induced by PM to human health. • Antioxidative potential of metformin was first proposed to provide measures. Exposure to particulate matter (PM) can lead to the excessive accumulation of reactive oxygen species (ROS), which causes oxidative stress and endangers human health. In this study, the effects of metformin on PM-induced radicals were investigated, and the antioxidation reaction mechanism of metformin was analyzed by the density functional theory (DFT) method. The corresponding results revealed that the consumption rate of dithiothreitol (DTT) increased as the metformin concentration (0–40 mmol/L) increased under exposure to PM active components. Moreover, the OH radical content decreased as the metformin concentration increased. This result may be related to the consumption of PM-induced OH radicals by metformin, which promotes the DTT consumption rate. Additionally, because the initiation reaction has a high barrier, the oxidation reaction rate between metformin and •O2− is not very fast, although various catalysts may be present in the human environment. Importantly, we found that the barrier of metformin induced by OH radicals is only 9.6 kcal/mol while the barrier of metformin induced by oxygen is 57.9 kcal/mol, which shows that the rate of the •OH-initiated oxidative reaction of metformin is much faster and that this reaction path occurs more easily. By sample analysis, the mean OH radical generation was 55 nmol/min/g (ranging from 5 to 105 nmol/min/g) on haze days and 30 nmol/min/g (ranging from 10 to 50 nmol/min/g) on non-haze days. Moreover, OH radical generation was higher on haze days than on neighboring non-haze days. Taken together, all data suggest that metformin could consume the PM-induced radicals, such as OH radicals and •O2−, thereby providing health protection.

Keywords： Antioxidative potential     Metformin     Mechanism     OH radical     Health protection.    

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A novel method for generating distillation configurations

Hongzhe Hou, Yiqing Luo

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 5,   Pages 834-846 doi: 10.1007/s11705-019-1855-7

Abstract: An improved matrix method for generating distillation configurations with ( −1) and less than ( −1) columns

Keywords： non-sharp separation     multicomponent distillation     distillation configurations    

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Three-dimensional finite difference analysis of shallow sprayed concrete tunnels crossing a reverse faultor a normal fault: A parametric study

Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 998-1011 doi: 10.1007/s11709-020-0621-8

Abstract: In this paper, the effects of a reverse and a normal fault movement on a transversely crossing shallowas the sprayed concrete thickness, the geo-mechanical properties of soil, the tunnel depth, and the fault

Keywords： urban tunnel     sprayed concrete     reverse fault     normal fault     finite difference analysis    

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A brief review of genome editing technology for generating animal models

Haoyi WANG, Sen WU, Mario R. CAPECCHI, Rudolf JAENISCH

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 2,   Pages 123-128 doi: 10.15302/J-FASE-2019309

Abstract: technologies has given researchers unprecedented power to alter DNA sequences at chosen genomic loci, thereby generating

Keywords： animal model     CRISPR     genome editing     TALEN     ZFN    

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Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 264-291 doi: 10.1007/s11465-018-0472-3

Abstract:

Machinery fault diagnosis has progressed over the past decades with the evolution of machineries inHigh-value machineries require condition monitoring and fault diagnosis to guarantee their designed functionsResearch on machinery Fault diagnostics has grown rapidly in recent years.The review discusses the special contributions of Chinese scholars to machinery fault diagnostics.On the basis of the review of basic theory of machinery fault diagnosis and its practical applications

Keywords： fault diagnosis     fault mechanism     feature extraction     signal processing     intelligent diagnostics    

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Impact of wind power generating system integration on frequency stabilization in multi-area power system

Y. K. BHATESHVAR,H. D. MATHUR,H. SIGUERDIDJANE

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 7-21 doi: 10.1007/s11708-014-0338-2

Abstract: The major constraint of wind power generating system (WPGS) is that it does not provide inertial support

Keywords： two area power system     automatic generation control     wind power generating system (WPGS)     deregulated environment    

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Machine learning for fault diagnosis of high-speed train traction systems: A review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2

Abstract: Therefore, performing fault monitoring and diagnosis on the traction system of the HST is necessary.various pattern recognition tasks and has demonstrated an excellent performance in traction system faultprimarily aims to review the research and application of machine learning in the field of traction system faultThen, the research and application of machine learning in traction system fault diagnosis are comprehensivelyFinally, the challenges for accurate fault diagnosis under actual operating conditions are revealed,

Keywords： high-speed train     traction systems     machine learning     fault diagnosis    

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Acoustic fault signal extraction via the line-defect phononic crystals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 10-10 doi: 10.1007/s11465-021-0666-y

Abstract: Rotating machine fault signal extraction becomes increasingly important in practical engineering applicationsHowever, fault signals with low signal-to-noise ratios (SNRs) are difficult to extract, especially atthe early stage of fault diagnosis.As a result, fault signals with high SNRs can be obtained for fault feature extraction.

Keywords： phononic crystals     line-defect     fault signal extraction     acoustic enhancement    

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Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0725-z

Abstract: energy operator (EO) and its variants have received considerable attention in the field of bearing faultAs a result, the fault-related transients strengthened by these improved EO techniques are still subjectTo address these issues, this paper presents a novel EO fusion strategy for enhancing the bearing faultThird, the intrinsic manifolds are weighted to recover the fault-related transients.experimental verifications confirm that the proposed strategy is more effective for enhancing the bearing fault

Keywords： higher order energy operator     fault diagnosis     manifold learning     rolling element bearing     information    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: The fault diagnosis of bearings is crucial in ensuring the reliability of rotating machinery.However, the inexplicability and low generalization ability of fault diagnosis models still bar themneural network, that is, the deep convolutional tree-inspired network (DCTN), for the hierarchical faultunique advantages in 1) the hierarchical structure that can support more accuracy and comprehensive faultThe multiclass fault diagnosis case and cross-severity fault diagnosis case are executed on a multicondition

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis.Tuning requires considerable experiences on the knowledge on CNN training and fault diagnosis, and isTo solve this problem, this paper proposes a novel automatic CNN (ACNN) for fault diagnosis, which canThe results show that ACNN outperforms these HPO and ML/DL methods, validating its potential in fault

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

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Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0713-3

Abstract: Gearbox fault diagnosis based on vibration sensing has drawn much attention for a long time.Numerical simulation and experimental results demonstrate the proposed method can realize gear faultThe identified GMS has a clear physical meaning and is thus very useful for fault diagnosis of the complicated

Keywords： gearbox fault diagnosis     meshing stiffness     identification     transfer path     signal processing    

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Title Author Date Type Operation

New Perspectives of Seismic Safety Evaluation in Urban Planning：The Discovery of “Macroseism GeneratingFault” and Its Inspirations

Li Ping,Yang Mei´e,Zhao Dongzhi

Journal Article

The dawn of successful prediction of major earthquakes

Li Ping and Yang Mei’e

Journal Article

Deep-seated Rupture Zone—a New Seismotectonic Style

Li Yuanjun

Journal Article

Antioxidative potential of metformin: Possible protective mechanism against generating OH radicals

Huibin Guo, Ning Wang, Xiang Li

Journal Article

A novel method for generating distillation configurations

Hongzhe Hou, Yiqing Luo

Journal Article

Three-dimensional finite difference analysis of shallow sprayed concrete tunnels crossing a reverse faultor a normal fault: A parametric study

Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS

Journal Article

A brief review of genome editing technology for generating animal models

Haoyi WANG, Sen WU, Mario R. CAPECCHI, Rudolf JAENISCH

Journal Article

Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Journal Article

Impact of wind power generating system integration on frequency stabilization in multi-area power system

Y. K. BHATESHVAR,H. D. MATHUR,H. SIGUERDIDJANE

Journal Article

Machine learning for fault diagnosis of high-speed train traction systems: A review

Journal Article

Acoustic fault signal extraction via the line-defect phononic crystals

Journal Article

Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Journal Article