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Probabilistic model for vessel-bridge collisions in the Three Gorges Reservoir

Bo GENG , Hong WANG , Junjie WANG ,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 3,   Pages 279-285 doi: 10.1007/s11709-009-0044-z

Abstract: Based on a field observation on vessel transit path of three bridges over the Yangtze River in the Three Gorges Reservoir, and an analysis of the geometric probabilistic model of transiting vessels in collision probability calculation, the aberrancy angle and vessel velocity probabilistic model related with impact force, a probabilistic model is established and also verified by goodness-of-fit test. The vessel transit path distribution can be expressed by the normal distribution model. For the Three Gorges Reservoir, the mean and standard deviation adopt 0.2 and 0.1, respectively ( is the channel width). The aberrancy angle distribution of vessels accepts maximum I distribution model, and its distribution parameters can be taken as 0.314 and 4.354. The velocity distribution of up-bound and down-bound vessels can also be expressed by the normal distribution model.

Keywords： vessel-bridge collision     probabilistic model     parameter statistics    

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Important Progress in Estimating Forest Resources

Zhao Xianwen,Li Chonggui,Si Lin,Tian Yonglin,Yuan Kaixian

Strategic Study of CAE 2001, Volume 3, Issue 8,   Pages 15-24

Abstract:

Traditional forest resources inventory is a hard mission, which needs much time, work and money. At the end of 1970s, remote sensing technology was introduced into China and has been used since then in the activities of forest resource inventory, especially in estimating forest stock volume, they include： Estimating volume stock of forest using quantitative value and qualitative factors of satellite data; Application of above — mentioned techniquess in different climate zones in China (The method has been spreaded over 7 million hectares in China); Estimating forestland, including area of fragments woodland and index of forest network etc. Through careful analysis of precision against costs, it is indicated that remote sensing method can save 1/3 to 1/2 budget in comparison with the traditional method.

In recent years, based on the previous study and by using modern statistic measure, new exploration and deeper study were done. These studies have solved some key problems in application of remote sensing in forestry resource inventory, such as calibrating remote sensing image against sampling plots on the ground, decreasing field work, increasing accuracy of stock volume on compartment, fast selecting optimal function, and avoiding factors that are hard to be determined by remote sensing data (such as age group, crown canopy, etc.). Both theor etical and practical applications have confirmed that remote sensing information play a leading role in estimating forest stock volume.

These discussed studies have made a good basis for the application of remote sensing in forest inventory, and given strong support for establishing a new system of forest inventory, which use remote sensing technology as primary measure.

At the end of this paper, a frame of new system of forest resource inventory is put forward, and suggestion on key problem in the new system is discussed.

Keywords： inventory by remote sensing     non-parameter estimation     forest stock volume     modern statistics    

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An emerging market for groundwater remediation in China: Policies, statistics, and future outlook

Deyi Hou, Guanghe Li, Paul Nathanail

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 1, doi: 10.1007/s11783-018-1027-x

Abstract: There is a rapidly emerging and potentially huge market for the remediation of contaminated groundwater in China. The Chinese government published a Water Action Plan in April 2015, a Soil Action Plan in May 2016, and a draft Soil Pollution Prevention and Control Law in June 2017. All of these new policies and regulations put pressures on local governments and contaminated site owners, obliging them to conduct site investigation and to cleanup contaminated groundwater. The Chinese population in northern regions heavily depend on groundwater, with nearly 70% of water supply coming from aquifer sources in the Beijing-Tianjin-Hebei region. However, poor groundwater quality due to natural geochemical background and anthropogeic pollution is a serious concern, with poor or very poor quality water observed in nearly 80% of groundwater monitoring wells in 17 northern provinces. Shallow groundwater in many areas has been contaminated by toxic pollutants such as heavy metals and chlorinated organic compounds. There is an urgent need to better understand the situation and to conduct groundwater remediation at contaminated sites. The Chinese government is investing heavily in the research and development for groundwater remediation, which is expected to greatly add to the quality and quantity of groundwater remediation projects in the near future.

Keywords： Groundwater pollution     Contaminated land     Groundwater remediation     Emerging market    

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Anovel approach of noise statistics estimate using H∞ filter in target tracking

Xie WANG,Mei-qin LIU,Zhen FAN,Sen-lin ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 449-457 doi: 10.1631/FITEE.1500262

Abstract: Noise statistics are essential for estimation performance.In practical situations, however, a priori information of noise statistics is often imperfect.Previous work on noise statistics identification in linear systems still requires initial prior knowledge

Keywords： Noise estimate     H∞     filter     Target tracking    

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Performance Evaluation in Automatic Target Recognition Based on Fuzzy Comprehensive Evaluation and Statistics

Li Yanpeng,Li Xiang,Wang Hongqiang,Zhuang Zhaowen

Strategic Study of CAE 2005, Volume 7, Issue 3,   Pages 64-68

Abstract: Recognition (ATR), the evaluation indexes and their measurement method are chosen with the application of statistics

Keywords： statistics     fuzzy comprehensive evaluation     automatic target recognition     performance evaluation    

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Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0703-5

Abstract: In fiber laser beam welding (LBW), the selection of optimal processing parameters is challenging and plays a key role in improving the bead geometry and welding quality. This study proposes a multi-objective optimization framework by combining an ensemble of metamodels (EMs) with the multi-objective artificial bee colony algorithm (MOABC) to identify the optimal welding parameters. An inverse proportional weighting method that considers the leave-one-out prediction error is presented to construct EM, which incorporates the competitive strengths of three metamodels. EM constructs the correlation between processing parameters (laser power, welding speed, and distance defocus) and bead geometries (bead width, depth of penetration, neck width, and neck depth) with average errors of 10.95%, 7.04%, 7.63%, and 8.62%, respectively. On the basis of EM, MOABC is employed to approximate the Pareto front, and verification experiments show that the relative errors are less than 14.67%. Furthermore, the main effect and the interaction effect of processing parameters on bead geometries are studied. Results demonstrate that the proposed EM-MOABC is effective in guiding actual fiber LBW applications.

Keywords： laser beam welding     parameter optimization     metamodel     multi-objective    

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An investigation on patient dose in screen-film diagnostic radiology in Lhasa City, Xizang Autonomous Region, China

Xiang Du

Frontiers of Medicine 2013, Volume 7, Issue 4,   Pages 506-509 doi: 10.1007/s11684-013-0294-y

Abstract:

This study aimed to investigate patient dose in diagnostic screen-film radiographic examinations in the city of Lhasa, China. Seven out of the twenty-six hospitals registered with the Lhasa Health Bureau were included in the investigation. The entrance surface air Kerma (ESAK) of seven conventional screen-film radiology X-ray equipment in these hospitals was measured with a QA dosimeter in September 2012. The X-ray examinations were divided into three categories: PA (posterior-anterior) chest, upper/lower limb, and AP (anterior-posterior) lumbar spine. For each category, ESAKs were calculated and analyzed. The mean ESAK was 0.6 mGy for PA chest, 0.3 mGy for upper/lower limb, and 1.8 mGy for AP lumbar spine. In addition, the mean ESAK value recorded for PA chest X-ray examinations exceeded the corresponding value recommended by the International Atomic Energy Agency (0.4 mGy).

Keywords： radiation dosage     radiology     radiation protection     radiography/statistics & numerical data    

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Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 133-136 doi: 10.1007/s11709-013-0202-1

Abstract: article examines the capability of Gaussian process regression (GPR) for prediction of effective stress parametervolumetric water content ( ), residual water content ( ), bubbling pressure ( ), suction ( ) and fitting parameterA sensitivity analysis has been done to determine the effect of each input parameter on .

Keywords： unsaturated soil     effective stress parameter     Gaussian process regression (GPR)     artificial neural network    

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1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Frontiers in Energy 2008, Volume 2, Issue 2,   Pages 187-193 doi: 10.1007/s11708-008-0030-5

Abstract: The 2 × 1000 MW ultra-supercritical steam turbine of Shanghai Waigaoqiao Phase III project, which uses grid frequency regulation and overload control through an overload valve, is manufactured by Shanghai Turbine Company using Siemens technology. Through optimization, the steam pressure is regarded as the criterion between constant pressure and sliding pressure operation. At high circulating water temperature, the turbine overload valve is kept closed when the unit load is lower than 1000 MW while at other circulating water temperatures the turbine can run in sliding pressure operation when the unit load is higher than 1000 MW and the pressure is lower than 27 MPa This increases the unit operation efficiency. The 3D bending technology in the critical piping helps to reduce the project investment and minimize the reheat system pressure drop which improves the unit operation efficiency and safety. By choosing lower circulating water design temperature and by setting the individual Boiler Feedwater Turbine condenser to reduce the exhaust steam flow and the heat load to the main condenser, the unit average back pressure and the terminal temperature difference are minimized. Therefore, the unit heat efficiency is increased.
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Structural parameter design method for a fast-steering mirror based on a closed-loop bandwidth

Guozhen CHEN, Pinkuan LIU, Han DING

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 55-65 doi: 10.1007/s11465-019-0545-y

Abstract: This study proposes a structural parameter design approach for an FSM system based on the quantitative

Keywords： fast-steering mirror     structural parameter     PI controller     bandwidth     notch filter    

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Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 221-248 doi: 10.1007/s11465-020-0627-x

Abstract: Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimizationThis paper conducts a comprehensive literature review of current studies on energy efficient cutting parameterCurrent studies on energy efficient cutting parameter optimization by using experimental design methodCombined with the current status, future research directions of energy efficient cutting parameter optimization

Keywords： energy efficiency     cutting parameter     optimization     machining process    

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Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 367-376 doi: 10.1007/s11465-017-0429-y

Abstract:

A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and drive

Keywords： wind turbine generator     DFIG     drive train system     hierarchical parameter estimation method     trajectory sensitivity    

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Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1082-1094 doi: 10.1007/s11709-019-0537-3

Abstract: An out-put only modal parameter identification method based on variational mode decomposition (VMD) isconducted to demonstrate the efficiency and highlight the superiority of the proposed method in modal parameterThe proposed method is proved to be efficient and accurate in modal parameter identification for bothlinear and nonlinear civil structures, including structures with closely spaced modes, sudden modal parameter

Keywords： modal parameter identification     variational mode decomposition     civil structure     nonlinear system     closely    

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Shallow foundation response variability due to soil and model parameter uncertainty

Prishati RAYCHOWDHURY,Sumit JINDAL

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 3,   Pages 237-251 doi: 10.1007/s11709-014-0242-1

Abstract: The present work intends to investigate the effect of soil and model parameter uncertainty on the response

Keywords： shallow foun dation     sensitivity analysis     centrifuge data     first-order-second-moment (FOSM) method     parameter    

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Parameter studies on impact in a lap joint

Amir M. RAHMANI,Elizabeth K. ERVIN

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 1,   Pages 64-77 doi: 10.1007/s11465-014-0322-x

Abstract: Each parameter’s effect on system response is presented including unstable regions, unique trend

Keywords： impact mechanics     contact     joint behaviour     modal analysis     parameter study    

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Title Author Date Type Operation

Probabilistic model for vessel-bridge collisions in the Three Gorges Reservoir

Bo GENG , Hong WANG , Junjie WANG ,

Journal Article

Important Progress in Estimating Forest Resources

Zhao Xianwen,Li Chonggui,Si Lin,Tian Yonglin,Yuan Kaixian

Journal Article

An emerging market for groundwater remediation in China: Policies, statistics, and future outlook

Deyi Hou, Guanghe Li, Paul Nathanail

Journal Article

Anovel approach of noise statistics estimate using H∞ filter in target tracking

Xie WANG,Mei-qin LIU,Zhen FAN,Sen-lin ZHANG

Journal Article

Performance Evaluation in Automatic Target Recognition Based on Fuzzy Comprehensive Evaluation and Statistics

Li Yanpeng,Li Xiang,Wang Hongqiang,Zhuang Zhaowen

Journal Article

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Journal Article

An investigation on patient dose in screen-film diagnostic radiology in Lhasa City, Xizang Autonomous Region, China

Xiang Du

Journal Article

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Journal Article

1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Journal Article

Structural parameter design method for a fast-steering mirror based on a closed-loop bandwidth

Guozhen CHEN, Pinkuan LIU, Han DING

Journal Article

Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Journal Article

Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Journal Article

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Journal Article

Shallow foundation response variability due to soil and model parameter uncertainty

Prishati RAYCHOWDHURY,Sumit JINDAL

Journal Article

Parameter studies on impact in a lap joint

Amir M. RAHMANI,Elizabeth K. ERVIN

Journal Article