Dr. Yan Wan Profile

Dr. Yan Wan

at Univ of Texas at Arlington

SPIE Involvement:

Author

Proceedings Article | 1 April 2019 Presentation + Paper

Bayesian estimation of defect patterns in composite materials using through-thickness dielectric measurements

Mushuang Liu, Yan Wan, Vamsee Vadlamudi, Frank Lewis, Kenneth Reifsnider, H. Felix Wu

Proceedings Volume 10971, 109710Z (2019) https://doi.org/10.1117/12.2514647

KEYWORDS: Statistical analysis, Defect detection, Polarization, Composites, Dielectrics, Dielectric polarization

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Proceedings Article | 19 April 2017 Presentation + Paper

Design and implementation of a remote UAV-based mobile health monitoring system

Songwei Li, Yan Wan, Shengli Fu, Mushuang Liu, H. Felix Wu

Proceedings Volume 10169, 101690A (2017) https://doi.org/10.1117/12.2257550

KEYWORDS: Target detection, Unmanned aerial vehicles, Optical spheres, Detection and tracking algorithms, Imaging systems, Image processing, Video, Control systems, Telecommunications, Antennas, Wireless communications, Global Positioning System

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Proceedings Article | 9 March 2014 Paper

A new vision of the post-NIST civil infrastructure program: the challenges of next-generation construction materials and processes

H. Felix Wu, Yan Wan

Proceedings Volume 9063, 90630I (2014) https://doi.org/10.1117/12.2046318

KEYWORDS: Energy efficiency, Safety, Roads, Defect detection, Materials processing, Inspection, Data acquisition

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Our nation’s infrastructural systems are crumbling. The deteriorating process grows over time. The physical aging of these vital facilities and the remediation of their current critical state pose a key societal challenge to the United States. Current sensing technologies, while well developed in controlled laboratory environments, have not yet yielded tools for producing real-time, in-situ data that are adequately comprehensible for infrastructure decision-makers. The need for advanced sensing technologies is national because every municipality and state in the nation faces infrastructure management challenges. The need is critical because portions of infrastructure are reaching the end of their life-spans and there are few cost-effective means to monitor infrastructure integrity and to prioritize the renovation and replacement of infrastructure elements. New advanced sensing technologies that produce cost-effective inspection and real-time monitoring data, and that can also help or aid in meaningful interpretation of the acquired data, therefore will enhance the safety in regard to the public on structural integrity by issuing timely and accurate alert data for effective maintenance to avoid disasters happening. New advanced sensing technologies also allow more informed management of infrastructural investments by avoiding premature replacement of infrastructure and identifying those structures in need of immediate action to prevent from catastrophic failure. Infrastructure management requires that once a structural defect is detected, an economical and efficient repair be made. Advancing the technologies of repairing infrastructure elements in contact with water, road salt, and subjected to thermal changes requires innovative research to significantly extend the service life of repairs, lower the costs of repairs, and provide repair technologies that are suitable for a wide range of conditions. All these new technologies will provide increased lifetimes, security, and safety of elements of critical infrastructure for the Nation’s already deteriorating civil infrastructure. It is envisioned that the Nation should look far beyond: not only should we efficiently and effectively address current problems of the aging infrastructure, but we must also further develop next-generation construction materials and processes for new construction. To accomplish this ambitious goal, we must include process efficiency that will help select the most reliable and cost-effective materials in construction processes; performance and cost will be the prime consideration for selections construction materials based on life-cycle cost and materials performance; energy efficiency will drive reduced energy consumption from current levels by 50 % per unit of output; and environmental responsiveness will achieve net-zero waste from construction materials and its constituents. Should it be successfully implemented, we will transform the current 21^st century infrastructure systems to enable the vital functioning of society and improve competitiveness of the economy to ensure that our quality of life remains high.

Proceedings Article | 11 April 2013 Paper

Optimal sensor placement for structural health monitoring: a comparative study between the control engineering and civil engineering approaches

Gopichand Movva, Yan Wan, Shengli Fu, H. Felix Wu

Proceedings Volume 8694, 86941K (2013) https://doi.org/10.1117/12.2009754

KEYWORDS: Mathematical modeling, Data modeling, Sensors, Matrices, Error analysis, Sensor networks, Civil engineering, Structural health monitoring, Structural engineering, Actinium

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Conference Committee Involvement (9)

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV

22 March 2021 | Online Only, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIV

27 April 2020 | Online Only, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII

4 March 2019 | Denver, Colorado, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII

5 March 2018 | Denver, Colorado, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI

26 March 2017 | Portland, Oregon, United States

Showing 5 of 9 Conference Committees

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