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Technical Sessions

48
MONDAY, SEPTEMBER, 10 • 3:40PM - 5:40PM

3:40pm                                    4:00pm            4:20pm                          4:40pm                            5:00pm                        5:20pm

Symposium 5 Structural Health Monitoring

Track Organizer: Ya Wang, Texas A&M University, College Station, TX, United States

Track Co-Organizer: Hae Young Noh, Carnegie Mellon University, Pittsburgh, PA, United States, Daniel Cole, US Army Research Laboratory, Aberdeen Proving Ground, MD, United States

SYMP 5-4: Novel Modeling Approaches	                        3:40pm - 5:40pm	                                                                                Third Floor, Presidio B

Session Organizer: Tyler Tallman, Purdue University, West Lafayette, IN, United States

Session Co-Organizer: Xuefeng Zhao, Dalian University of Technology, Dalian, China

Detection of Component        Dangerous Scenes              Feature Recognition and         Image-based Comprehensive         On the Development of
Types and Track Damage for    Recognition during Hoisting   Detection for Common            Maintenance and Inspection        Tensorial Deformation-
High-speed Railway Using      Based on Convolutional        Maintenance Tools Based on      Method for Bridges using          Resistivity Constitutive
Region-based Convolutional    Neural Network                Deep Learning                   Deep Learning                     Relations in Conductive
Neural Networks               Technical Paper Publication.  Technical Paper Publication.    Technical Paper Publication.      Nanofiller-modified
Technical Paper Publication.  SMASIS2018-8226               SMASIS2018-8266                 SMASIS2018-8268                   Composites
SMASIS2018-8223                                                                                                               Technical Paper Publication.
                              Hongguo Su, Mingyuan          Chengcheng Liu, Kuan Zhang,     Xuefeng Zhao, Shengyuan           SMASIS2018-7965
Shengyuan Li, Yang Zhang,     Zhang, Shengyuan Li, Xuefeng  Shengyuan Li, Xuefeng           Li, Hongguo Su, Dalian
Xuefeng Zhao, Dalian          Zhao, Dalian University of    Zhao, Dalian University of      University of Technology,         Goon Mo Koo, Tyler Tallman,
University of Technology,     Technology, Dalian, China     Technology, Dalian, China,      Dalian, China, Lei Zhou,          Purdue University, West
Dalian, China, Peigang                                      Peigang Li, Shanghai Institute  Offshore Oil Engineering Co.,     Lafayette, IN, United States
Li, Shanghai Institute of                                   of Technology, Shanghai, China  Ltd., Tianjin, China, Kenneth J.
Technology, Shanghai, China                                                                 Loh, University of California,
                                                                                            San Diego, La Jolla, CA, United
                                                                                            States
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