Prof. Xuefeng Zhao Profile

Prof. Xuefeng Zhao

at Dalian Univ of Technology

SPIE Involvement:

Author

Publications (45)

Proceedings Article | 19 April 2022 Presentation + Paper

Research on structural torsion deformation monitoring based on machine vision

Jun Ma, Chenhao Zhao, Chunzhe Li, Yu Ding, Xuefeng Zhao

Proceedings Volume 12048, 1204811 (2022) https://doi.org/10.1117/12.2613216

KEYWORDS: Machine vision, Cameras, Visualization, Visual process modeling, Computer networks, Target detection, Safety, Optical simulations, Image processing, Imaging systems

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Proceedings Article | 18 April 2022 Paper

Operating environment sensing of transmission tower based on deep learning

Jun Ma, Zhiwei Wang, Kegang Wei, Jinyu Gao, Xuefeng Zhao

Proceedings Volume 12047, 120471D (2022) https://doi.org/10.1117/12.2613229

KEYWORDS: Environmental sensing, Detection and tracking algorithms, Inspection, Video surveillance, Video, Machine vision, Image transmission, Environmental monitoring, Data modeling, Unmanned aerial vehicles

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Proceedings Article | 18 April 2022 Poster + Paper

A kind of strain sensor with big sensing gauge length based on webcam

Chunzhe Li, Zhihao Yang, Jun Ma, Dong Sun, Xuefeng Zhao

Proceedings Volume 12046, 120461B (2022) https://doi.org/10.1117/12.2613227

KEYWORDS: Sensors, Fiber Bragg gratings, Structural health monitoring, Cameras, Error analysis, Detection and tracking algorithms, Pixel resolution, Cell phones, Lithium, Failure analysis

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SPIE Journal Paper | 3 March 2022

Comparative study of microimage strain sensing system and FBG sensing system for strain measurement

Lixiao Zhang, Xixian Chen, Weijie Li, Guangyi Zhou, Xuefeng Zhao

OE, Vol. 61, Issue 03, 034101, (March 2022) https://doi.org/10.1117/12.10.1117/1.OE.61.3.034101

KEYWORDS: Fiber Bragg gratings, Sensors, Sensing systems, Bridges, Structural health monitoring, Aluminum, Cameras, Optical engineering, Carbon, Temperature metrology

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Proceedings Article | 23 March 2021 Paper

Image-based transmission tower component identification for operation maintenance using deep learning

Jun Ma, Zhiwei Wang, Houyan Ai, Lei Wang, Xuefeng Zhao

Proceedings Volume 11591, 1159125 (2021) https://doi.org/10.1117/12.2582734

KEYWORDS: Image transmission, Optical inspection, Unmanned aerial vehicles, Machine vision, Inspection, Image processing, Convolutional neural networks

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Proceedings Article | 22 March 2021 Paper

Experimental study on a novel corrosion sensor for steel strand using FBG

Jun Ma, Bo Lu, Dong Sun, Zhu Wang, Xuefeng Zhao

Proceedings Volume 11591, 1159124 (2021) https://doi.org/10.1117/12.2582720

KEYWORDS: Corrosion, Sensors, Fiber Bragg gratings

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Proceedings Article | 22 March 2021 Paper

Structural health monitoring of transmission tower based on inclinometer sensing system

Jun Ma, Bo Lu, Tianming Zhang, Liang Zhang, Xuefeng Zhao

Proceedings Volume 11593, 115930K (2021) https://doi.org/10.1117/12.2582738

KEYWORDS: Structural health monitoring, Sensing systems, Finite element methods, Environmental monitoring, Computer simulations, Analytical research

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Transmission tower as a part of the power system, plays a significant role in supporting conductor, ground wire and other accessories in the overhead transmission line. It is very crucial to make sure it runs safely and stably for people's production and life. Due to the high flexibility of the transmission tower structure, the wind load is an important control load and plays a decisive role. Under the cyclic stress caused by wind load for a long time, some minor damages and defects of the tower can easily reach the limit of fatigue and cause local or overall damage. In this research work, one structural health monitoring system using wireless inclinometers is proposed. And then the proposed monitoring system was installed on the transmission tower for remote real-time on-line monitoring. The real inclination response of the structures under environmental load and operational load can be monitored in real time. The inclination response monitored was used to evaluate the structural health conditions of the transmission tower. This kind of monitoring scheme has a good practical application value and can effectively avoid the occurrence of major power accidents. Transmission tower as a part of the power system, plays a significant role in supporting conductor, ground wire and other accessories in the overhead transmission line. It is very crucial to make sure it runs safely and stably for people's production and life. Due to the high flexibility of the transmission tower structure, the wind load is an important control load and plays a decisive role. Under the cyclic stress caused by wind load for a long time, some minor damages and defects of the tower can easily reach the limit of fatigue and cause local or overall damage. In this research work, one structural health monitoring system using wireless inclinometers is proposed. And then the proposed monitoring system was installed on the transmission tower for remote real-time on-line monitoring. The real inclination response of the structures under environmental load and operational load can be monitored in real time. The inclination response monitored was used to evaluate the structural health conditions of the transmission tower. This kind of monitoring scheme has a good practical application value and can effectively avoid the occurrence of major power accidents.

Proceedings Article | 22 April 2020 Paper

Feature recognition and detection for road damage based on intelligent inspection terminal

Kuan Zhang, Hongwei Li, Zhiwei Wang, Xuefeng Zhao

Proceedings Volume 11382, 113820Y (2020) https://doi.org/10.1117/12.2558395

KEYWORDS: Roads, Inspection, Damage detection, Databases, Target detection, Detection and tracking algorithms, Visual process modeling, Data modeling, Convolutional neural networks

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Proceedings Article | 22 April 2020 Paper

Method for rapid detection and treatment of cracks in tunnel lining based on deep learning

Xu Yan, Guangyi Zhou, Xuefeng Zhao

Proceedings Volume 11381, 113812X (2020) https://doi.org/10.1117/12.2558472

KEYWORDS: Inspection, MATLAB, Analytical research, Convolutional neural networks, Image filtering, Image processing, Calibration, Image segmentation, Nonlinear filtering, Roads

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Proceedings Article | 22 April 2020 Paper

Corrosion monitoring and evaluation of steel strand for transmission line based on fiber Bragg grating (FBG)

Jun Ma, Bo Lu, Yonggang Shi, Gang Dong, Xuefeng Zhao

Proceedings Volume 11382, 1138211 (2020) https://doi.org/10.1117/12.2558517

KEYWORDS: Corrosion, Fiber Bragg gratings, Sensors, Inspection, Temperature metrology, Epoxies, Safety, Power supplies, Fiber optic communications, Polishing

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Proceedings Article | 1 April 2019 Paper

Research on 2D digital image correlation measurement based on smartphones

Botao Xie, Xuefeng Zhao, Jinke Li, Xu Yan, Xingjun Lv

Proceedings Volume 10972, 109722F (2019) https://doi.org/10.1117/12.2515189

KEYWORDS: Digital image correlation, Image analysis, Cameras, Civil engineering, MATLAB, Digital imaging, Image acquisition, Imaging systems, Speckle, Lithium

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Proceedings Article | 1 April 2019 Presentation + Paper

GroundEye: a mobile crowdsourcing structure seismic response monitoring system based on smartphone

Xuefeng Zhao, Jinke Li, Ruicong Han, Botao Xie, Jinping Ou

Proceedings Volume 10972, 109721Q (2019) https://doi.org/10.1117/12.2514905

KEYWORDS: Databases, Buildings, Sensors, Digital image correlation, Feature extraction, Civil engineering, Earthquakes, Cameras, Video, Data modeling, Structural health monitoring

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Proceedings Article | 1 April 2019 Presentation

Hoisting safety detection technology based on faster R-CNN (Conference Presentation)

Xuefeng Zhao, Yang Zhang, Zhen Yang, Mingyuan Zhang, Dongfang Li, Guangyi Zhou

Proceedings Volume 10972, 109722B (2019) https://doi.org/10.1117/12.2515287

KEYWORDS: Safety, Cameras, Imaging systems, Security technologies, Fiber optic handling equipment, Computer security

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Proceedings Article | 1 April 2019 Paper

Method for detecting road pavement damage based on deep learning

Jiaqi Li, Xuefeng Zhao, Hongwei Li

Proceedings Volume 10972, 109722D (2019) https://doi.org/10.1117/12.2514437

KEYWORDS: Roads, Convolutional neural networks, Convolution, Damage detection, Neural networks, Feature extraction, Safety, Detection and tracking algorithms

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Proceedings Article | 27 March 2018 Presentation + Paper

Optical fiber sensor for monitoring the strain of concrete which subject to freezing and thawing test

Kaixing Liao, Haifeng Lv, Xianglong Kong, Changsen Sun, Xuefeng Zhao

Proceedings Volume 10600, 106002I (2018) https://doi.org/10.1117/12.2296510

KEYWORDS: Cements, Optical fibers, Fiber optics sensors, Temperature metrology, Interferometers, Single mode fibers, Civil engineering, Sensors, Optical sensing, Fiber Bragg gratings

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Proceedings Article | 27 March 2018 Paper

Research on horizontal displacement monitoring method of deep foundation pit based on laser projecting sensing technology

Peng Liu, Shulin Xie, Lixiao Zhang, Guangyi Zhou, Xuefeng Zhao

Proceedings Volume 10599, 1059928 (2018) https://doi.org/10.1117/12.2296529

KEYWORDS: Laser applications, Sensors, Cameras, Transmitters, Buildings, Laser development, Laser stabilization, Switches, Image transmission, Image processing

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Proceedings Article | 27 March 2018 Paper

Audio-based bolt-loosening detection technique of bolt joint

Yang Zhang, Xuefeng Zhao, Wensheng Su, Zhigang Xue

Proceedings Volume 10599, 1059929 (2018) https://doi.org/10.1117/12.2296533

KEYWORDS: Machine learning, Safety, Inspection, Damage detection

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Proceedings Article | 27 March 2018 Paper

Image-based corrosion recognition for ship steel structures

Yucong Ma, Yang Yang, Yuan Yao, Shengyuan Li, Xuefeng Zhao

Proceedings Volume 10602, 106020U (2018) https://doi.org/10.1117/12.2296540

KEYWORDS: Corrosion, Convolution, Artificial intelligence, Image processing, Databases, Computing systems, Cameras, Stationary wavelet transform, Pattern recognition, Pixel resolution

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Proceedings Article | 27 March 2018 Presentation + Paper

Research on subsea pipeline scour monitoring using distributed Raman optical sensing technique

Xinwang Zhang, Xuefeng Zhao

Proceedings Volume 10598, 105982F (2018) https://doi.org/10.1117/12.2296557

KEYWORDS: Interfaces, Raman spectroscopy, Optical fibers, Optical sensing, Thermometry, Temperature metrology, Data acquisition, Data processing, Raman scattering, Fiber optics sensors

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Proceedings Article | 27 March 2018 Presentation + Paper

Feature recognition and detection for ancient architecture based on machine vision

Zheng Zou, Niannian Wang, Peng Zhao, Xuefeng Zhao

Proceedings Volume 10602, 1060209 (2018) https://doi.org/10.1117/12.2296543

KEYWORDS: Buildings, Machine vision, Convolution, Neural networks, Sensors, Visualization, Signal attenuation, Civil engineering, Image processing, MATLAB

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Proceedings Article | 27 March 2018 Paper

Convolutional neural networks-based crack detection for real concrete surface

Shengyuan Li, Xuefeng Zhao

Proceedings Volume 10598, 105983V (2018) https://doi.org/10.1117/12.2296536

KEYWORDS: Image processing, Neural networks, Sensors, Convolution, Inspection, Convolutional neural networks, Pixel resolution

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Proceedings Article | 27 March 2018 Presentation + Paper

Shaking table tests for evaluating the damage features under earthquake excitations using smartphones

Xuefeng Zhao, Ruicong Han, Kenneth Loh, Botao Xie, Jinke Lie, Jinping Ou

Proceedings Volume 10600, 106000L (2018) https://doi.org/10.1117/12.2296501

KEYWORDS: Earthquakes, Sensors, Structural health monitoring, Data integration, Video, Structural monitoring, Transducers, Civil engineering

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Proceedings Article | 27 March 2018 Paper

A study of using smartphone to detect and identify construction workers’ near-miss falls based on ANN

Mingyuan Zhang, Tianzhuo Cao, Xuefeng Zhao

Proceedings Volume 10599, 105992A (2018) https://doi.org/10.1117/12.2296548

KEYWORDS: Sensors, Safety, Sensor technology, Data acquisition, Data modeling, Injuries, Motion models, Scene simulation, Data processing, Sensor networks

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Proceedings Article | 19 April 2017 Presentation + Paper

Research on public participant urban infrastructure safety monitoring system using smartphone

Xuefeng Zhao, Niannian Wang, Jinping Ou, Yan Yu, Mingchu Li

Proceedings Volume 10169, 101691T (2017) https://doi.org/10.1117/12.2259748

KEYWORDS: Safety, Sensors, Computer security, Image sensors, Video, Wireless communications, Databases, Feature extraction, Data analysis, Information security, Earthquakes, Floods, Data processing, Structural health monitoring, Gyroscopes, Telecommunications

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Proceedings Article | 19 April 2017 Paper

Building environment assessment and energy consumption estimation using smart phones

Xiangli Li, Li Zhang, Yingqi Jia, Zihan Wang, Xin Jin, Xuefeng Zhao

Proceedings Volume 10171, 101710U (2017) https://doi.org/10.1117/12.2258704

KEYWORDS: Buildings, Environmental sensing, Humidity, Data acquisition, Sensors, Temperature metrology, Databases, Cell phones, Clouds, Data processing, Algorithm development, Thermal effects

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Proceedings Article | 19 April 2017 Paper

Research on multi-parameter monitoring of steel frame shaking-table test using smartphone

Ruicong Han, Kenneth Loh, Xuefeng Zhao, Yan Yu

Proceedings Volume 10169, 101692O (2017) https://doi.org/10.1117/12.2258749

KEYWORDS: Magnetism, Sensors, Structural health monitoring, Buildings, Earthquakes, Safety, Data storage, Information operations

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Proceedings Article | 12 April 2017 Paper

Research on the ride comfort of elevator monitoring using smartphone

Yang Zhang, Xiaowei Sun, Zhao Xie, Wensheng Su, Zhigang Xue, Xuefeng Zhao

Proceedings Volume 10168, 101683C (2017) https://doi.org/10.1117/12.2259771

KEYWORDS: Sensors, Buildings, Data processing, Microelectromechanical systems, Sensing systems, Safety, Structural health monitoring, Safety equipment, Sun, Civil engineering, Inspection equipment

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Proceedings Article | 12 April 2017 Paper

Research on high-speed railway's vibration analysis checking based on intelligent mobile terminal

Peigang Li, Shulin Xie, Xuefeng Zhao

Proceedings Volume 10168, 101683B (2017) https://doi.org/10.1117/12.2259761

KEYWORDS: Vibrometry, Sensors, Analytical research, Gyroscopes, Safety, Inspection, Data acquisition, Data processing, Lithium, Global Positioning System

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Proceedings Article | 5 April 2017 Paper

Nuclear power plant prestressed concrete containment vessel structure monitoring during integrated leakage rate test using three kinds of fiber optic sensors

Kaixing Liao, Jinke Li, Xianglong Kong, Changsen Sun, Xuefeng Zhao

Proceedings Volume 10170, 1017034 (2017) https://doi.org/10.1117/12.2259760

KEYWORDS: Fiber optics sensors, Sensors, Structural health monitoring, Fiber Bragg gratings, Safety, Temperature metrology, Fiber optics, Erbium, Civil engineering, Optical interferometry

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Proceedings Article | 5 April 2017 Presentation + Paper

Comparison of two novel types of sensor to monitor the strain of concrete in F-T tests

Haifeng Lv, Kaixing Liao, Xianglong Kong, Shengyuan Li, Yanbing Ding, Changsen Sun, Xuefeng Zhao

Proceedings Volume 10170, 101702S (2017) https://doi.org/10.1117/12.2259749

KEYWORDS: Sensors, Optical fibers, Structural sensing, Epoxies, Silicon, Cements, Thin film coatings, Civil engineering, Optical sensors, Sensing systems

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Proceedings Article | 22 April 2016 Paper

Research on quick seismic damage investigation using smartphone

Xuefeng Zhao, Ruicong Han, Yan Yu, Mingchu Li

Proceedings Volume 9804, 980421 (2016) https://doi.org/10.1117/12.2218967

KEYWORDS: Software development, Earthquakes, Integration, Image acquisition, Global Positioning System, Analytical research, Buildings, Telecommunications, Civil engineering, Natural disasters, Operating systems

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Proceedings Article | 20 April 2016 Paper

Design of external sensors board based on Bluetooth interface of smart phones for structural health monitoring system

Yan Yu, Yaping Zhou, Xuefeng Zhao, Dongsheng Li, Jinping Ou

Proceedings Volume 9803, 98033G (2016) https://doi.org/10.1117/12.2219431

KEYWORDS: Structural health monitoring, Sensors, Internet, Sensor networks, Information technology, Cell phones, Clouds, Bridges, Computing systems, Mobile communications

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Proceedings Article | 20 April 2016 Paper

Crane hoisting monitoring using smartphone

Xuefeng Zhao, Bo Jiao, Yang Zhang, Shunde Gao, Yan Yu

Proceedings Volume 9803, 98034E (2016) https://doi.org/10.1117/12.2218959

KEYWORDS: Sensors, Operating systems, Data storage, Data transmission, Microelectromechanical systems, Safety, Sensing systems, Gyroscopes, Structural health monitoring, Civil engineering, Mechanical engineering

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Proceedings Article | 1 May 2015 Paper

Experiment on interface separation detection of concrete-filled steel tubular arch bridge using accelerometer array

Shengshan Pan, Xuefeng Zhao, Hailiang Zhao, Jian Mao

Proceedings Volume 9435, 94351B (2015) https://doi.org/10.1117/12.2084114

KEYWORDS: Sensors, Bridges, Signal attenuation, Interfaces, Civil engineering, Silicon, Thermography, Mathematical modeling, Mathematics, Damage detection

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Proceedings Article | 1 April 2015 Paper

Quick seismic intensity map investigation and evaluation based on cloud monitoring method using smart mobile phone

Xuefeng Zhao, Deli Peng, Weitong Hu, Quanhua Guan, Yan Yu, Mingchu Li, Jinping Ou

Proceedings Volume 9437, 94372A (2015) https://doi.org/10.1117/12.2084075

KEYWORDS: Earthquakes, Cell phones, Sensors, Clouds, Software development, Signal attenuation, Natural disasters, Civil engineering, Interfaces, Smart sensors

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Proceedings Article | 27 March 2015 Paper

Cable force monitoring system of cable stayed bridges using accelerometers inside mobile smart phone

Xuefeng Zhao, Yan Yu, Weitong Hu, Dong Jiao, Ruicong Han, Xingquan Mao, Mingchu Li, Jinping Ou

Proceedings Volume 9435, 94351H (2015) https://doi.org/10.1117/12.2084068

KEYWORDS: Sensors, Bridges, Structural health monitoring, Gyroscopes, Civil engineering, System integration, Safety, Smart structures, Information technology, Operating systems

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Proceedings Article | 27 March 2015 Paper

Research on slope instability displacement monitoring technique based on laser spot video identification method

Xi Xu, Hao Liu, Xuefeng Zhao

Proceedings Volume 9435, 943530 (2015) https://doi.org/10.1117/12.2084069

KEYWORDS: Sensors, Bridges, Video, Laser processing, Video processing, Laser applications, Landslide (networking), Cameras, Image processing, Visualization

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Proceedings Article | 8 March 2014 Paper

Design of overload vehicle monitoring and response system based on DSP

Yan Yu, Yiheng Liu, Xuefeng Zhao

Proceedings Volume 9061, 90613V (2014) https://doi.org/10.1117/12.2044876

KEYWORDS: Digital signal processing, Sensors, Roads, Bridges, Structural health monitoring, Signal processing, Manufacturing, Amplifiers, Data centers, Digital electronics

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Proceedings Article | 6 April 2012 Paper

Research of a real-time overload monitoring and response system of bridges and roads

Yan Yu, Yan Shi, Xuefeng Zhao, Jinping Ou

Proceedings Volume 8345, 83453J (2012) https://doi.org/10.1117/12.914777

KEYWORDS: Bridges, Roads, Telecommunications, Structural health monitoring, General packet radio service, Resistance, Data centers, Structural engineering, Safety, Computer programming

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Proceedings Article | 6 April 2012 Paper

Bridge scour monitoring system based on active thermometry

Qin Ba, Xue-Feng Zhao, Le Li

Proceedings Volume 8345, 83453A (2012) https://doi.org/10.1117/12.915060

KEYWORDS: Bridges, Thermometry, Solids, Liquids, Sensors, Temperature metrology, Reliability, Radar, Fiber Bragg gratings, Convection

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Proceedings Article | 5 April 2012 Paper

The application of strain field intensity method in the steel bridge fatigue life evaluation

Xuefeng Zhao, Yanhong Wang, Yanjun Cui, Kaisheng Cao

Proceedings Volume 8347, 83472G (2012) https://doi.org/10.1117/12.915096

KEYWORDS: Bridges, Finite element methods, Aerospace engineering, Reliability, Analytical research, Failure analysis, Lithium, Civil engineering, Optical simulations, Optical spheres

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Asce's survey shows that 80%--90% bridge damage were associated with fatigue and fracture problems. With the operation of vehicle weight and traffic volume increases constantly, the fatigue of welded steel bridge is becoming more and more serious in recent years. A large number of studies show that most prone to fatigue damage of steel bridge is part of the welding position. Thus, it's important to find a more precise method to assess the fatigue life of steel bridge. Three kinds of fatigue analysis method is commonly used in engineering practice, such as nominal stress method, the local stress strain method and field intensity method. The first two methods frequently used for fatigue life assessment of steel bridge, but field intensity method uses less ,and it widely used in fatigue life assessment of aerospace and mechanical. Nominal stress method and the local stress strain method in engineering has been widely applied, but not considering stress gradient and multiaxial stress effects, the accuracy of calculation stability is relatively poor, so it's difficult to fully explain the fatigue damage mechanism. Therefore, it used strain field intensity method to evaluate the fatigue life of steel bridge. The fatigue life research of the steel bridge based on the strain field method and the fatigue life of the I-section plate girder was analyzed. Using Ansys on the elastoplastic finite element analysis determined the dangerous part of the structure and got the stress-strain history of the dangerous point. At the same time, in order to divide the unit more elaborate introduced the sub-structure technology. Finally, it applies K.N. Smith damage equation to calculate the fatigue life of the dangerous point. In order to better simulating the actual welding defects, it dug a small hole in the welding parts. It dug different holds from different view in the welding parts and plused the same load to calculate its fatigue life. Comparing the results found that the welding defect in different parts had different influence on the fatigue life. Simultaneously, it based on S-N curve the I-shaped beam and combined with Palmgren - Miner linear cumulative damage theory to calculate the fatigue life of the dangerous part. The corresponding calculation results proved the superiority of the strain field intensity method.

Proceedings Article | 15 April 2011 Paper

Research on the theory of valid sampling points in BOTDR technique

Peng Gong, Jian Guo, Yang Liu, Jie Lu, Xuefeng Zhao

Proceedings Volume 7982, 798208 (2011) https://doi.org/10.1117/12.880270

KEYWORDS: Spatial resolution, Error analysis, Temperature metrology, Optical fibers, Structural health monitoring, 3D surface sensing, Acoustics, 3D imaging standards, Sensors, Analytical research

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Proceedings Article | 21 October 2009 Paper

One kind of fiber Bragg grating displacement sensor using micro-elastic spring

Xuefeng Zhao, Gangbing Song, Michael Fernandez, Jinping Ou

Proceedings Volume 7493, 74932X (2009) https://doi.org/10.1117/12.841293

KEYWORDS: Fiber Bragg gratings, Sensors, Shape memory alloys, Epoxies, Temperature metrology, Fiber optics sensors, Fiber optics, Packaging, Optical fibers, Civil engineering

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Proceedings Article | 10 April 2008 Paper

Local health monitoring of Sifangtai Bridge using fiber Bragg grating sensors

Xuefeng Zhao, Jinping Ou

Proceedings Volume 6935, 69351M (2008) https://doi.org/10.1117/12.778672

KEYWORDS: Fiber Bragg gratings, Sensors, Bridges, Temperature metrology, Sensor networks, Fiber optics sensors, Fiber optics, Optical switching, Switches, Fiber optics tests

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Proceedings Article | 8 April 2008 Paper

Local strain monitoring study of offshore platform T shaped tubular joint using fiber Bragg grating sensors

Xuefeng Zhao, Zhongdong Duan, Jinping Ou

Proceedings Volume 6932, 69320E (2008) https://doi.org/10.1117/12.778695

KEYWORDS: Fiber Bragg gratings, Sensors, Finite element methods, Surface finishing, Actuators, Data corrections, Data modeling, Instrument modeling, Control systems, Civil engineering

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